Stress Monitoring and Recent Advancements in Wearable Biosensors
Open accessAbstract
The stress response allows the body to overcome obstacles and prepare for threats, but sustained levels of stress can damage one's health. Stress has long been measured through physical tests and questionnaires that rely primarily on user-inputted data, which can be subjective and inaccurate. To quantify the amount of stress that the body is experiencing biologically, analytical detection of biomarkers associated with the stress response recently have been developed. Novel stress sensing devices focus on cortisol sweat sensing as a part of wearable, flexible devices. These devices promise a real-time, continuous collection of stress data that can be used in clinical diagnoses or for personal stress monitoring and mediation.
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Detection of cortisol as a stress biomarker in sweat is at the forefront of wearable stress detection devices currently in development.
“Detection of cortisol as a stress biomarker in sweat is at the forefront of wearable stress detection devices currently in development.[ 20 ]”
From MicroSweat: A wearable microfluidic patch for noninvasive and reliable sweat collection enables human stress monitoring (2023) · cites this paper as [20]
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KESSLER, R. C., ANDREWS, G., COLPE, L. J., HIRIPI, E., MROCZEK, D. K., NORMAND, S.-L. T., WALTERS, E. E., & ZASLAVSKY, A. M. (2002) · Psychological Medicine · doi:10.1017/s0033291702006074 · Cited by 10,327 · see citing works
Stress and Health: Psychological, Behavioral, and Biological Determinants
Schneiderman, N., Ironson, G., & Siegel, S. D. (2005) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.1.102803.144141 · Cited by 2,252 · see citing works
Bunney, P. E., Zink, A. N., Holm, A. A., Billington, C. J., & Kotz, C. M. (2017) · Physiology & Behavior · doi:10.1016/j.physbeh.2017.03.040 · Cited by 2,104 · see citing works
Strimbu, K., & Tavel, J. A. (2010) · Current Opinion in HIV and AIDS · doi:10.1097/coh.0b013e32833ed177 · Cited by 2,062 · see citing works
Regulation of the Hypothalamic‐Pituitary‐Adrenocortical Stress Response
Herman, J. P., McKlveen, J. M., Ghosal, S., Kopp, B., Wulsin, A., Makinson, R., Scheimann, J., & Myers, B. (2016) · Comprehensive Physiology · doi:10.1002/cphy.c150015 · Cited by 1,819 · see citing works
Nater, U. M., & Rohleder, N. (2009) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2009.01.014 · Cited by 1,370 · see citing works
Champagne, F. A., Francis, D. D., Mar, A., & Meaney, M. J. (2003) · Physiology & Behavior · doi:10.1016/s0031-9384(03)00149-5 · Cited by 1,021 · see citing works
5-HT and mechanisms of defence
Deakin, J. F. W., & Graeff, F. G. (1991) · Journal of Psychopharmacology · doi:10.1177/026988119100500414 · Cited by 1,011 · see citing works
Biological and psychological markers of stress in humans: Focus on the Trier Social Stress Test
Allen, A. P., Kennedy, P. J., Cryan, J. F., Dinan, T. G., & Clarke, G. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.11.005 · Cited by 734 · see citing works
Dedovic, K., Renwick, R., Khalili‐Mahani, N., Engert, V., LUPIEN, S. J., & Pruessner, J. C. (2005) · Journal of Psychiatry and Neuroscience · doi:10.1139/jpn.0541 · Cited by 731 · see citing works
Electrochemical biosensors: perspective on functional nanomaterials for on-site analysis
Cho, I., Kim, D. H., & Park, S. (2020) · Biomaterials Research · doi:10.1186/s40824-019-0181-y · Cited by 653 · see citing works
Parlak, O., Keene, S. T., Marais, A., Curto, V. F., & Salleo, A. (2018) · Science Advances · doi:10.1126/sciadv.aar2904 · Cited by 603 · cited 2× · see citing works
“The MIP was found to be reversible, reproducible, and reusable, effectively overcoming the shortcomings that antibodyantigen devices possess, while also being flexible and wearable due to development on a soft styrene-ethylene-butylene-styrene elastomer, as shown in Figure 2C; Parlak et al. (2018).”
BackgroundMethodEnzyme Immunoassay and Enzyme-Linked Immunosorbent Assay
Gan, S. D., & Patel, K. R. (2013) · Journal of Investigative Dermatology · doi:10.1038/jid.2013.287 · Cited by 566 · see citing works
Neuroendocrine aspects of the response to stress
Miller, D. B., & O'Callaghan, J. P. (2002) · Metabolism · doi:10.1053/meta.2002.33184 · Cited by 496 · see citing works
Academic Stress and its Sources Among University Students
Reddy, K. J., Menon, K. R., & Thattil, A. (2018) · Biomedical & Pharmacology Journal · doi:10.13005/bpj/1404 · Cited by 484 · see citing works
Investigation of Cortisol Dynamics in Human Sweat Using a Graphene-Based Wireless mHealth System
Torrente-Rodríguez, R. M., Tu, J., Yang, Y., Min, J., Wang, M., Song, Y., Yu, Y., Xu, C., Ye, C., IsHak, W. W., et al. (2020) · Matter · doi:10.1016/j.matt.2020.01.021 · Cited by 479 · see citing works
Hewitt, P., Flett, G., & Mosher, S. (1992) · Journal of Psychopathology and Behavioral Assessment · doi:10.1007/bf00962631 · Cited by 437 · see citing works
Workplace dimensions, stress and job satisfaction
Fairbrother, K., & Warn, J. R. (2003) · Journal of Managerial Psychology · doi:10.1108/02683940310459565 · Cited by 408 · see citing works
Wearable flexible sweat sensors for healthcare monitoring: a review
Chung, M., Fortunato, G., & Radacsi, N. (2019) · Journal of The Royal Society Interface · doi:10.1098/rsif.2019.0217 · Cited by 378 · see citing works
Ranabir, S., & Reetu, K. (2011) · Indian Journal of Endocrinology and Metabolism · doi:10.4103/2230-8210.77573 · Cited by 353 · see citing works
Clarifying the roles of homeostasis and allostasis in physiological regulation.
Ramsay, D. S., & Woods, S. C. (2014) · Psychological Review · doi:10.1037/a0035942 · Cited by 339 · see citing works
Biomarkers in Stress Related Diseases/Disorders: Diagnostic, Prognostic, and Therapeutic Values
Dhama, K., Latheef, S. K., Dadar, M., Samad, H. A., Munjal, A. K., Khandia, R., Karthik, K., Tiwari, R., Yatoo, M. I., Bhatt, P., et al. (2019) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2019.00091 · Cited by 333 · see citing works
Stress Biomarkers in Biological Fluids and Their Point-of-Use Detection
Steckl, A. J., & Ray, P. (2018) · ACS Sensors · doi:10.1021/acssensors.8b00726 · Cited by 319 · see citing works
Salivary Alpha-Amylase as a Biomarker of Stress in Behavioral Medicine
Ali, N., & Nater, U. M. (2020) · International Journal of Behavioral Medicine · doi:10.1007/s12529-019-09843-x · Cited by 304 · see citing works
A systems approach to stress, stressors and resilience in humans
Oken, B., Chamine, I., & Wakeland, W. W. (2014) · Behavioural Brain Research · doi:10.1016/j.bbr.2014.12.047 · Cited by 288 · see citing works
Goldstein, D. S. (2010) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-010-9606-9 · Cited by 288 · see citing works
Allostasis: A brain-centered, predictive mode of physiological regulation
Schulkin, J., & Sterling, P. (2019) · Trends in Neurosciences · doi:10.1016/j.tins.2019.07.010 · Cited by 265 · see citing works
What drives smartwatch purchase intention? Perspectives from hardware, software, design, and value
Hsiao, K., & Chen, C. (2017) · Telematics and Informatics · doi:10.1016/j.tele.2017.10.002 · Cited by 233 · see citing works
Portable biosensor for monitoring cortisol in low-volume perspired human sweat
Kinnamon, D., Ghanta, R., Lin, K.-C., Muthukumar, S., & Prasad, S. (2017) · Scientific Reports · doi:10.1038/s41598-017-13684-7 · Cited by 231 · see citing works
The construct validity of the Perceived Stress Scale
Nielsen, M. G., Ørnbøl, E., Vestergaard, M., Bech, P., Larsen, F. B., Lasgaard, M., & Christensen, K. S. (2016) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2016.03.009 · Cited by 181 · see citing works
Lee, S. Y., & Lee, K. (2018) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2018.01.002 · Cited by 174 · see citing works
Carbon fiber based electrochemical sensor for sweat cortisol measurement
Sekar, M. K., Pandiaraj, M., Bhansali, S., Ponpandian, N., & Viswanathan, C. (2019) · Scientific Reports · doi:10.1038/s41598-018-37243-w · Cited by 164 · see citing works
Lee, H.-B., Meeseepong, M., Trung, T. Q., Kim, B.-Y., & Lee, N.-E. (2020) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2020.112133 · Cited by 153 · see citing works
Stress: Concepts, Definition and History☆
Fink, G. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-809324-5.02208-2 · Cited by 144 · see citing works
Salivary biomarkers detection: Analytical and immunological methods overview
Gug, I., Tertiş, M., Hosu, O., & Cristea, C. (2019) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2019.02.020 · Cited by 136 · see citing works
A Systematic, Multi-domain Review of Mobile Smartphone Apps for Evidence-Based Stress Management
Coulon, S. M., Monroe, C. M., & West, D. S. (2016) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2016.01.026 · Cited by 128 · see citing works
Zänkert, S., Bellingrath, S., Wüst, S., & Kudielka, B. (2019) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2018.10.027 · Cited by 124 · see citing works
An Introductory Guide to Conducting the Trier Social Stress Test.
Labuschagne, I., Grace, C., Rendell, P., Terrett, G., & Heinrichs, M. (2019) · Neuroscience and Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.09.032 · Cited by 121 · see citing works
Kim, H., Kim, Y., Mahmood, M., Kwon, S., Zavanelli, N., Kim, H. S., Rim, Y. S., Epps, F. R., & Yeo, W. (2020) · Advanced Science · doi:10.1002/advs.202000810 · Cited by 121 · see citing works
Jia, M., Chew, W. M., Feinstein, Y., Skeath, P., & Sternberg, E. M. (2016) · The Analyst · doi:10.1039/c5an02387d · Cited by 113 · see citing works
Highly sensitive and non-invasive electrochemical immunosensor for salivary cortisol detection
Dhull, N., Kaur, G., Gupta, V., & Tomar, M. (2019) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2019.05.020 · Cited by 102 · see citing works
Handbook of hormones : comparative endocrinology for basic and clinical research
竹井, 祥., 安東, 宏., & 筒井, 和. (2016) · Elsevier eBooks · Cited by 93 · see citing works
Eccrine Sweat as a Biofluid for Profiling Immune Biomarkers
Katchman, B. A., Zhu, M., Blain Christen, J., & Anderson, K. S. (2018) · PROTEOMICS – Clinical Applications · doi:10.1002/prca.201800010 · Cited by 86 · see citing works
User preference for an IoT healthcare application for lifestyle disease management
Kim, S., & Kim, S. (2017) · Telecommunications Policy · doi:10.1016/j.telpol.2017.03.006 · Cited by 81 · see citing works
Vineetha, R., Pai, K. M., Vengal, M., Gopalakrishna, K., & Narayanakurup, D. (2014) · Journal of Clinical and Experimental Dentistry · doi:10.4317/jced.51355 · Cited by 80 · see citing works
Wiegard, R., & Breitner, M. H. (2017) · Electronic Markets · doi:10.1007/s12525-017-0274-1 · Cited by 74 · see citing works
Rao, R., & Androulakis, I. P. (2019) · Hormones and Behavior · doi:10.1016/j.yhbeh.2019.02.018 · Cited by 73 · see citing works
Work-related stress risk factors and health outcomes in public sector employees
Marcatto, F., Colautti, L., Filon, F. L., Luis, O., Blas, L. D., Cavallero, C., & Ferrante, D. (2016) · Safety Science · doi:10.1016/j.ssci.2016.07.003 · Cited by 68 · see citing works
Salivary Cortisol Determination on Smartphone-Based Differential Pulse Voltammetry System
Liu, J., Xu, N., Men, H., Li, S., Lu, Y., Low, S. S., Li, X., Zhu, L., Cheng, C., Xu, G., et al. (2020) · Sensors · doi:10.3390/s20051422 · Cited by 68 · see citing works
Wadsworth, M. E., Broderick, A. V., Loughlin‐Presnal, J. E., Bendezú, J. J., Joos, C. M., Ahlkvist, J. A., Perzow, S. E. D., & McDonald, A. R. (2019) · Developmental Psychobiology · doi:10.1002/dev.21866 · Cited by 67 · see citing works
Schönbrunn, A. (2014) · Molecular Endocrinology · doi:10.1210/me.2014-1230 · Cited by 66 · see citing works
CortiWatch: Watch-Based Cortisol Tracker
Rice, P., Upasham, S., Jagannath, B., Manuel, R., Pali, M., & Prasad, S. (2019) · Future Science OA · doi:10.2144/fsoa-2019-0061 · Cited by 63 · see citing works
Saverino, S., & Falorni, A. (2020) · Best Practice & Research Clinical Endocrinology & Metabolism · doi:10.1016/j.beem.2020.101379 · Cited by 58 · see citing works
The acute physiological stress response to driving: A systematic review
Antoun, M., Edwards, K. M., Sweeting, J., & Ding, D. (2017) · PLoS ONE · doi:10.1371/journal.pone.0185517 · Cited by 56 · see citing works
Neglect, HPA axis reactivity, and development
Reilly, E. B., & Gunnar, M. R. (2019) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2019.07.010 · Cited by 56 · see citing works
Serotonin regulation of the human stress response
Hood, S. D., Hince, D., Robinson, H., Cirillo, M., Christmas, D. M., & Kaye, J. M. (2006) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2006.07.001 · Cited by 48 · see citing works
Neuroscience of Pain, Stress, and Emotion
(2016) · Elsevier eBooks · doi:10.1016/c2013-0-16065-5 · Cited by 38 · see citing works
Sanchez, A. (2003) · Pharmacological Research · doi:10.1016/s1043-6618(03)00241-x · Cited by 33 · see citing works
Hsiao, H., Chen, R. L. C., Chou, C.-C., & Cheng, T. (2019) · Sensors · doi:10.3390/s19071571 · Cited by 26 · see citing works
Marin, M., Geoffrion, S., Juster, R., Giguère, C., Marchand, A., LUPIEN, S. J., & Guay, S. (2019) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2019.03.006 · Cited by 25 · see citing works
Hans Selye and the stress response: 80 years after his “letter” to the Editor of Nature
Rochette, L., & Vergely, C. (2017) · Annales de Cardiologie et d Angéiologie · doi:10.1016/j.ancard.2017.04.017 · Cited by 22 · see citing works
Prediction of Daily Mental Stress Levels Using a Wearable Photoplethysmography Sensor
Park, J., Kim, J., & Kim, S.-P. (2018) · IEEE Region 10 Conference (TENCON) · doi:10.1109/tencon.2018.8650109 · Cited by 21 · see citing works
Cushing's syndrome – Disease monitoring: Recurrence, surveillance with biomarkers or imaging studies
Ragnarsson, Ó. (2020) · Best Practice & Research Clinical Endocrinology & Metabolism · doi:10.1016/j.beem.2020.101382 · Cited by 21 · see citing works
Wearable sensor based stress management using integrated respiratory and ECG waveforms
Chen, K., Fink, W., Roveda, J. M., Lane, R. D., Allen, J. J. B., & Vanuk, J. (2015) · Wearable and Implantable Body Sensor Networks · doi:10.1109/bsn.2015.7299369 · Cited by 20 · see citing works
Koffi, D., Marie-Louise, V., Loucoubar, C., Béourou, S., Vigan-Womas, I., Touré, A., Djaman, J. A., Touré, A. O., & Perraut, R. (2017) · PLoS ONE · doi:10.1371/journal.pone.0172899 · Cited by 17 · see citing works
Poirat, L., Gaye, B., Perier, M., Thomas, F., Guibout, C., Climie, R. E., Offredo, L., Tafflet, M., Lemogne, C., Pannier, B., et al. (2018) · International Journal of Cardiology · doi:10.1016/j.ijcard.2018.06.040 · Cited by 11 · see citing works
Adverse effects of pollution on mental health: the stress hypothesis
Lanoix, D., & Plusquellec, P. (2013) · OA Evidence-Based Medicine · doi:10.13172/2053-2636-1-1-572 · Cited by 9 · see citing works
Individual Differences in Stress Reaction
Szalma, J. L. (2018) · Journal of International Crisis and Risk Communication Research · doi:10.1201/9781315599946-21 · Cited by 7 · see citing works
Thought Control Strategies in the Patients with Acute Stress Disorder and PTSD
Bakhshian, F., Abolghasemi, A., & Narimani, M. (2013) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2013.06.676 · Cited by 6 · see citing works
Quantitative evaluation of bending reliability for a flexible near-field communication tag
Jeong, J.-H., Kim, J.-H., & Oh, C.-S. (2017) · Microelectronics Reliability · doi:10.1016/j.microrel.2017.06.030 · Cited by 5 · see citing works
Neurobiology and Endocrinology for Animal Behaviorists
Breed, M. D., & Moore, J. (2012) · Elsevier eBooks · doi:10.1016/b978-0-12-372581-3.00002-7 · Cited by 4 · see citing works
Sawami, K., Nakagawa, H., Katahata, Y., & Suishu, C. (2017) · Neurochemistry & Neuropharmacology · doi:10.4172/2469-9780.1000115 · Cited by 3 · see citing works
Flagged first, then by citations
1 of the 73 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Wearable Biosensors: An Alternative and Practical Approach in Healthcare and Disease Monitoring
Sharma, A., Badea, M., Tiwari, S., & Marty, J. (2021) · Molecules · doi:10.3390/molecules26030748 · Cited by 373 · see citing works
Recent Advances on IoT-Assisted Wearable Sensor Systems for Healthcare Monitoring
Mamdiwar, S. D., Akshith, R., Shakruwala, Z., Chadha, U., Srinivasan, K., & Chang, C. (2021) · Biosensors · doi:10.3390/bios11100372 · Cited by 277 · see citing works
Vo, D.-K., & Trinh, K. T. L. (2024) · Biosensors · doi:10.3390/bios14110560 · Cited by 261 · see citing works
Recent progress, challenges, and opportunities for wearable biochemical sensors for sweat analysis
Ghaffari, R., Rogers, J. A., & Ray, T. R. (2021) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2021.129447 · Cited by 213 · see citing works
State of Sweat: Emerging Wearable Systems for Real-Time, Noninvasive Sweat Sensing and Analytics
Ghaffari, R., Yang, D. S., Kim, J., Mansour, A., Wright, J. A., Model, J. B., Wright, D. E., Rogers, J. A., & Ray, T. R. (2021) · ACS Sensors · doi:10.1021/acssensors.1c01133 · Cited by 182 · see citing works
Vos, G., Trinh, K., Sarnyai, Z., & Azghadi, M. R. (2023) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2023.105026 · Cited by 182 · see citing works
Singh, N. K., Chung, S., Chang, A., Wang, J., & Hall, D. A. (2022) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2023.115097 · Cited by 137 · see citing works
AI-Driven Wearable Bioelectronics in Digital Healthcare
Huang, G., Chen, X., & Liao, C. (2025) · Biosensors · doi:10.3390/bios15070410 · Cited by 136 · see citing works
Vignesh, V., Dominguez, B. C., James, T. D., Turner‐Cobb, J. M., Lightman, S. L., & Reis, N. M. (2024) · ACS Sensors · doi:10.1021/acssensors.3c01912 · Cited by 102 · see citing works
Roos, L. G., & Slavich, G. M. (2023) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2023.08.008 · Cited by 100 · see citing works
Javaid, S., Zeadally, S., Fahim, H., & He, B. (2022) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3141064 · Cited by 92 · see citing works
Tu, J., Yeom, J., Ulloa, J. C., Solomon, S. A., Min, J., Heng, W., Kim, G., Dao, J., Vemu, R., Pang, M., et al. (2025) · Science Advances · doi:10.1126/sciadv.adx6491 · Cited by 88 · see citing works
Wearable tesla valve-based sweat collection device for sweat colorimetric analysis
Shi, H., Cao, Y., Zeng, Y., Zhou, Y., Wen, W., Zhang, C., Zhao, Y., & Chen, Z. (2022) · Talanta · doi:10.1016/j.talanta.2022.123208 · Cited by 86 · see citing works
Clark, K. M., & Ray, T. R. (2023) · ACS Sensors · doi:10.1021/acssensors.3c01512 · Cited by 86 · see citing works
Recent advancements in flexible and wearable sensors for biomedical and healthcare applications
Wang, Y., Yang, B., Hua, Z., Zhang, J., Guo, P., Hao, D., Gao, Y., & Huang, J. (2021) · Journal of Physics D Applied Physics · doi:10.1088/1361-6463/ac3c73 · Cited by 80 · see citing works
A review of sampling, energy supply and intelligent monitoring for long-term sweat sensors
Yang, P., Wei, G., Liu, A., Huo, F., & Zhang, Z. (2022) · npj Flexible Electronics · doi:10.1038/s41528-022-00165-9 · Cited by 77 · see citing works
Shajari, S., Salahandish, R., Zare, A., Hassani, M., Moossavi, S., Munro, E., Rashid, R., Rosenegger, D., Bains, J. S., & Sanati Nezhad, A. (2023) · Advanced Science · doi:10.1002/advs.202204171 · Cited by 55 · see citing works
Differential responses of salivary cortisol, amylase, and chromogranin A to academic stress
Tammayan, M., Jantaratnotai, N., & Pachimsawat, P. (2021) · PLoS ONE · doi:10.1371/journal.pone.0256172 · Cited by 55 · see citing works
Faham, S., Salimi, A., & Ghavami, R. (2022) · Talanta · doi:10.1016/j.talanta.2022.123892 · Cited by 50 · see citing works
Occupational Stress Monitoring Using Biomarkers and Smartwatches: A Systematic Review
Morales, A. S., Barbosa, M. L. K., Morás, L. D., Cazella, S. C., Sgobbi, L. F., Junior, I. G. S., & Marques, G. (2022) · Sensors · doi:10.3390/s22176633 · Cited by 46 · see citing works
Wearable biosensors for human fatigue diagnosis: A review
Zhang, J., Chen, M., Peng, Y. Y., Li, S., Han, D., Ren, S., Qin, K., Li, S., Han, T., Wang, Y., et al. (2022) · Bioengineering & Translational Medicine · doi:10.1002/btm2.10318 · Cited by 43 · see citing works
Assessing the added value of context during stress detection from wearable data
Stojchevska, M., Steenwinckel, B., Donckt, J. V. D., Brouwer, M. D., Goris, A. H. C., Turck, F. D., Hoecke, S. V., & Ongenae, F. (2022) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-022-02010-5 · Cited by 37 · see citing works
Fontes, L., Machado, P., Vinkemeier, D., Yahaya, S. W., Bird, J. J., & Ihianle, I. K. (2024) · Sensors · doi:10.3390/s24041096 · Cited by 37 · see citing works
Hossain, N. I., Noushin, T., & Tabassum, S. (2024) · Scientific Reports · doi:10.1038/s41598-024-81042-5 · Cited by 38 · see citing works
Cano, S. P., Cubillos, C., Alfaro, R., Romo, A., García, M., & Moreira, F. (2024) · Sensors · doi:10.3390/s24248137 · Cited by 45 · see citing works
Nandini, D., Yadav, J., Singh, V., Mohan, V., & Agarwal, S. (2025) · Scientific Reports · doi:10.1038/s41598-025-99858-0 · Cited by 37 · see citing works
Sensing of body fluid hormones using paper-based analytical devices
Kelkar, N., Prabhu, A., Prabhu, A., Nandagopal, M. S. G., & Mani, N. K. (2021) · Microchemical Journal · doi:10.1016/j.microc.2021.107069 · Cited by 36 · see citing works
Minimising redundancy, maximising relevance: HRV feature selection for stress classification
Ihianle, I. K., Machado, P., Owa, K., Adama, D. A., Otuka, R. I., & Lotfi, A. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.122490 · Cited by 32 · see citing works
Cortisol sensing by optical sensors
Santonocito, R., Puglisi, R., Cavallaro, A., Pappalardo, A., & Sfrazzetto, G. T. (2023) · The Analyst · doi:10.1039/d3an01801f · Cited by 32 · see citing works
Stress monitoring with wearable technology and AI
Ates, H. C., Ateş, C., & Dincer, C. (2024) · Nature Electronics · doi:10.1038/s41928-024-01128-w · Cited by 31 · see citing works
Sensing behavior change in chronic pain: a scoping review of sensor technology for use in daily life
Vitali, D., Olugbade, T., Eccleston, C., Keogh, E., Bianchi‐Berthouze, N., & Williams, A. C. D. C. (2024) · Pain · doi:10.1097/j.pain.0000000000003134 · Cited by 30 · see citing works
A vision for the future of wearable sensors in spine care and its challenges: narrative review
Hodges, P. W., & van den Hoorn, W. (2021) · Journal of Spine Surgery · doi:10.21037/jss-21-112 · Cited by 31 · see citing works
Baidillah, M. R., Riyanto, R., Busono, P., Karim, S., Febryarto, R., Astasari, A., Sangaji, D., & Taruno, W. P. (2024) · Measurement · doi:10.1016/j.measurement.2023.114111 · Cited by 29 · see citing works
Technological advancements in occupational health and safety
Rajendran, S., Giridhar, S., Chaudhari, S., & Gupta, P. K. (2021) · Measurement Sensors · doi:10.1016/j.measen.2021.100045 · Cited by 29 · see citing works
Rescio, G., Manni, A., Ciccarelli, M., Papetti, A., Caroppo, A., & Leone, A. (2024) · Sensors · doi:10.3390/s24030947 · Cited by 27 · see citing works
Occupant-centered indoor environmental quality management: Physiological response measuring methods
Kong, M., An, J., Jung, D., & Hong, T. (2023) · Building and Environment · doi:10.1016/j.buildenv.2023.110661 · Cited by 27 · see citing works
Ambient and wearable system for workers’ stress evaluation
Rescio, G., Manni, A., Caroppo, A., Ciccarelli, M., Papetti, A., & Leone, A. (2023) · Computers in Industry · doi:10.1016/j.compind.2023.103905 · Cited by 26 · see citing works
Hekmatmanesh, A., Zhidchenko, V., Kauranen, K. J., Siitonen, K., Handroos, H., Soutukorva, S., & Kilpeläinen, A. (2021) · IEEE Access · doi:10.1109/access.2021.3092516 · Cited by 25 · see citing works
Stress monitoring using low-cost electroencephalogram devices: A systematic literature review
Vos, G., Ebrahimpour, M., van Eijk, L., Sarnyai, Z., & Azghadi, M. R. (2025) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2025.105859 · Cited by 24 · see citing works
Gillan, L., & Jansson, E. (2022) · Flexible and Printed Electronics · doi:10.1088/2058-8585/ac7187 · Cited by 24 · see citing works
Pei, X. M., Ghandehari, A., Chakoma, S. M., Rajendran, J., Negrete, J. A. T., & Esfandyarpour, R. (2026) · Nature Communications · doi:10.1038/s41467-025-67747-9 · Cited by 23 · see citing works
Tattoo Inks for Optical Biosensing in Interstitial Fluid
Pazos, M. D., Hu, Y., Elani, Y., Browning, K. L., Jiang, N., & Yetisen, A. K. (2021) · Advanced Healthcare Materials · doi:10.1002/adhm.202101238 · Cited by 23 · see citing works
AI-driven multimodal colorimetric analytics for biomedical and behavioral health diagnostics
Hagos, D. H., Aryal, S. K., Ymele‐Leki, P., & Burge, L. (2025) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2025.05.015 · Cited by 23 · see citing works
Lu, D., Mo, Y., Sun, S., Wang, Q., Wu, Z., Wang, W., & Zhu, M. (2025) · Chemistry of Materials · doi:10.1021/acs.chemmater.5c00498 · Cited by 20 · see citing works
Wearable Technologies and Stress: Toward an Ethically Grounded Approach
Canali, S., Marchi, B. D., & Aliverti, A. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20186737 · Cited by 21 · see citing works
Multimodal Wearable Platform with Simultaneous Electrochemical and Biophotonic Sensing
Evert, B., Peterson, K., Songkakul, T., Bozkurt, A. Y., & Daniele, M. A.-A. (2025) · ACS Sensors · doi:10.1021/acssensors.4c03492 · Cited by 19 · see citing works
Scargill, T., Chen, Y., Eom, S., Dunn, J., & Gorlatova, M. A. (2022) · IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) · doi:10.1109/vrw55335.2022.00042 · Cited by 18 · see citing works
Kim, H., Song, J., Kim, S., Lee, S., Park, Y., Lee, S., Lee, S., & Kim, J. (2023) · Biosensors · doi:10.3390/bios13040470 · Cited by 19 · see citing works
The Menstrual Cycle’s Influence on Sleep Duration and Cardiovascular Health: A Comprehensive Review
Rugvedh, P., Gundreddy, P., & Wandile, B. V. (2023) · Cureus · doi:10.7759/cureus.47292 · Cited by 18 · see citing works
Eom, S., Eom, S.-Y., & Washington, P. Y. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-47679-2_12 · Cited by 18 · see citing works
El-Malahi, O., Mohajeri, D., Bäuerle, A., Mincu, R. I., Rothenaicher, K., Ullrich, G., Rammos, C., Teufel, M., Rassaf, T., & Lortz, J. (2024) · Life · doi:10.3390/life14060749 · Cited by 16 · see citing works
Zhang, B., Fu, J., Du, M., Jin, K., Huang, Q., Li, J., Wang, D., Hu, S., Li, J., & Ma, H. (2024) · Lab on a Chip · doi:10.1039/d3lc00979c · Cited by 16 · see citing works
Robust ultrasensitive stretchable sensor for wearable and high-end robotics applications
Ahmed, F., Soomro, A. M., Ashraf, H., Rahim, A., Asif, A., Jawed, B., Waqas, M., & Choi, K. H. (2022) · Journal of Materials Science Materials in Electronics · doi:10.1007/s10854-022-09324-0 · Cited by 15 · see citing works
A Stress Detection Model Based on LSTM Network Using Solely Raw PPG Signals
Motaman, K., Alipour, K., Tarvirdizadeh, B., & Ghamari, M. (2022) · RSI International Conference on Robotics and Mechatronics (ICRoM) · doi:10.1109/icrom57054.2022.10025256 · Cited by 15 · see citing works
Advances in electrochemical sensors based on nanomaterials for the detection of lipid hormone
Zhang, T., Du, X., & Zhang, Z. (2022) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2022.993015 · Cited by 15 · see citing works
A Survey on Emerging Technologies in Wireless Body Area Network
Mohanty, R. K., Sahoo, S. P., & Kabat, M. R. (2022) · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · doi:10.1109/icccnt54827.2022.9984569 · Cited by 14 · see citing works
Weighted knowledge distillation of attention-LRCN for recognizing affective states from PPG signals
Choi, J., Hwang, G., Lee, J. S., Ryu, M., & Lee, S. J. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.120883 · Cited by 14 · see citing works
Newton, S., Shirazi, A., & Christensen, P. (2021) · International Journal of Building Pathology and Adaptation · doi:10.1108/ijbpa-04-2021-0046 · Cited by 13 · see citing works
Psychological Stress Level Detection Based on Heartbeat Mode
Hu, D., & Gao, L. (2022) · Applied Sciences · doi:10.3390/app12031409 · Cited by 13 · see citing works
Wearable ECG systems for accurate mental stress detection: a scoping review
Naeem, M., Fawzi, S. A., Anwar, H., & Malek, A. S. (2023) · Journal of Public Health · doi:10.1007/s10389-023-02099-6 · Cited by 12 · see citing works
Sweat Based‐multiplexed Detection of NPY‐Cortisol for Disease Diagnostics and Stress Management
Churcher, N. K. M., Upasham, S., Rice, P., Greyling, C. F., & Prasad, S. (2021) · Electroanalysis · doi:10.1002/elan.202100083 · Cited by 12 · see citing works
Nanosheet-type tin oxide gas sensor array for mental stress monitoring
Choi, P. G., & Masuda, Y. (2022) · Scientific Reports · doi:10.1038/s41598-022-18117-8 · Cited by 10 · see citing works
A systematic review on physiology-based anxiety detection using machine learning
Shikha, S., Sethia, D., & Indu, S. (2025) · Biomedical Physics & Engineering Express · doi:10.1088/2057-1976/add5fc · Cited by 7 · see citing works
Newton, S. (2022) · Construction Innovation · doi:10.1108/ci-02-2022-0040 · Cited by 7 · see citing works
Uninterrupted real‐time cerebral stress level monitoring using wearable biosensors: A review
Mishra, A., Agrawal, M., Ali, A., & Garg, P. (2023) · Biotechnology and Applied Biochemistry · doi:10.1002/bab.2491 · Cited by 7 · see citing works
Stress-ViT: In-Ear Plethysmography for Mental Stress Classification with Vision Transformer
Barki, H., Chung, S. H., Jafari, R., & Chung, W. (2023) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas58349.2023.10389058 · Cited by 7 · see citing works
From care practices to speculative vignettes–design considerations for robots in good care
Vetter, R., Dobrosovestnova, A., Frijns, H. A., Vogel, L., Brunnmayr, K., & Frauenberger, C. (2024) · Frontiers in Robotics and AI · doi:10.3389/frobt.2024.1347367 · Cited by 6 · see citing works
Marchi, B. D., Agovi, E., & Aliverti, A. (2024) · Information Systems Frontiers · doi:10.1007/s10796-024-10550-6 · Cited by 7 · see citing works
Cortisol Biosensors: From Sensing Principles to Applications
Tanaka, Y., Salleh, N. A. B. M., Aung, K. M. M., Su, X., & Sutarlie, L. (2023) · World Scientific Annual Review of Functional Materials · doi:10.1142/s2810922823300015 · Cited by 5 · see citing works
Lukenga, M.-P., Billonnet, L., Gaugue, J., & Denis, J. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1199038 · Cited by 9 · see citing works
Yu, Z., Sherpa, M. T., Iadarola, S., Shamlian, K. D., Daley, S. G., Levine, G., Bajorski, P., & Zheng, Z. (2023) · International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) · doi:10.1145/3565066.3608686 · Cited by 6 · see citing works
From molecule to signals: the evolution of biosensor research
Khan, N., & Junior, M. A. D. M. (2026) · Discover Sensors · doi:10.1007/s44397-026-00036-2 · Cited by 5 · see citing works
Brillinger, M., Manfredi, S., Leder, D., Bloder, M., Jäger, M., Diwold, K., Kajmaković, A., Haslgrübler, M., Pichler, R., Brunner, M., et al. (2024) · Computers & Industrial Engineering · doi:10.1016/j.cie.2023.109859 · Cited by 5 · see citing works
Sun, L., Xu, H., Bai, Y., Chang, L., Gao, J., Zhao, M., Huang, A. T., Ma, L., Yu, L., Kang, F., et al. (2024) · Small · doi:10.1002/smll.202307410 · Cited by 5 · see citing works
Wearable Optical Sensors: Toward Machine Learning-Enabled Biomarker Monitoring
Faham, S., Faham, S., & Sepehri, B. (2024) · Chemistry Africa · doi:10.1007/s42250-024-01047-5 · Cited by 6 · see citing works
Effects of stress hormones on digestibility and performance in cattle: A review
Besharati, M., Ahmad, S., Jabbar, M., Palangı, V., Esen, S., Esen, V. K., Eseceli, H., Mammadov, A., & Lackner, M. K. (2024) · Open Agriculture · doi:10.1515/opag-2022-0387 · Cited by 5 · see citing works
Pasha, S. T., Halder, N., Badrul, T., Setu, J. H., Islam, A., & Alam, M. Z. (2024) · Advances in Science and Engineering Technology International Conferences (ASET) · doi:10.1109/aset60340.2024.10708646 · Cited by 6 · see citing works
Interpretable Neuro-Fuzzy Models for Stress Prediction
Casalino, G., Castellano, G., & Zaza, G. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-39965-7_52 · Cited by 4 · see citing works
Dagli, N., Haque, M., & Kumar, S. (2024) · Cureus · doi:10.7759/cureus.57865 · Cited by 4 · see citing works
Introduction to emerging biosensing technologies
Shukla, M., Mahato, K., & Pandya, A. (2025) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2025.05.013 · Cited by 3 · see citing works
Cano, S. P., Franco, E., Apablaza, J., & García, M. J. (2023) · Preprints.org · doi:10.20944/preprints202308.1236.v1 · Cited by 3 · see citing works
Skovgaard, A., Kirk, A. F., & Cogan, N. A. (2026) · JMIR Research Protocols · doi:10.2196/90813 · Cited by 2 · see citing works
Jeworutzki, A. (2022) · Designing Interactive Systems Conference · doi:10.1145/3532107.3532874 · Cited by 2 · see citing works
Stress-GPT: Stress detection with an EEG-based foundation model
Lloyd, C., Lemoine, L. L., Al-Shaikh, R., Ly, K. T., Kayan, H., Perera, C., & Pham, N. (2024) · ACM Annual International Conference on Mobile Computing and Networking (MobiCom) · doi:10.1145/3636534.3698121 · Cited by 2 · see citing works
Miniaturized Electrochemical (Bio)sensing Devices Going Wearable
Faustino, L. C., Cunha, J. P. C., de Andrade, A. P. S., Bezerra, E. F. S., Luz, R. A. S., & Gerôncio, E. T. S. (2022) · Springer eBooks · doi:10.1007/978-3-030-97921-8_3 · Cited by 2 · see citing works
Investigation of Machine Learning Techniques and Sensing Devices for Mental Stress Detection
Smirthy, M., Dhanushree, M., & Ashisha, G. R. (2023) · doi:10.1109/icspc57692.2023.10125951 · Cited by 2 · see citing works
Towards Enhanced Well-Being: Monitoring Stress and Health with Smart Sensor Systems
Shahid, M. M., Agada, G. E., Kayyali, M., Ihianle, I. K., & Machado, P. (2023) · International Conference Automatics and Informatics (ICAI) · doi:10.1109/icai58806.2023.10339032 · Cited by 2 · see citing works
The Effect of Forest Therapy Program on Stress Reduction in Middle-aged Women1
Jung, Y.-K., & Shin, W.-S. (2023) · Korean Journal of Environment and Ecology · doi:10.13047/kjee.2023.37.6.464 · Cited by 1 · see citing works
Thiagarajan, V. (2024) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-031-62520-6_17 · Cited by 1 · see citing works
Xu, S., Ma, L., Cheng, R., Gao, F., & Zhang, K. (2025) · Journal of Management in Engineering · doi:10.1061/jmenea.meeng-6506 · Cited by 1 · see citing works
Smart Sensor Technologies and Wearable IoT for Healthcare
Sun, H., Shukla, R. P., & Daniele, M. A.-A. (2026) · Springer eBooks · doi:10.1007/978-3-032-06286-4_4 · Cited by 1 · see citing works
Zhang, C., Zhang, J., & Zhao, F. (2026) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2026.119050 · Cited by 1 · see citing works
Mapping Movement Behaviors and Mental Health Among Frontline Workers: Scoping Review
Skovgaard, A., Kirk, A. F., Campbell, E., Horan-Buchanan, G., & Cogan, N. A. (2026) · JMIR Public Health and Surveillance · doi:10.2196/106002 · Cited by 1 · see citing works
Umamageswaran, J., Saravanan, K., & Srinivasan, V. P. (2023) · Cardiometry · doi:10.18137/cardiometry.2023.26.618622 · Cited by 1 · see citing works
Prasad, P. P. M., Kanagasabai, N., & Kumar, P. S. (2023) · AIP conference proceedings · doi:10.1063/5.0164228 · Cited by 1 · see citing works
Updates of Wearing Devices (WDs) In Healthcare, And Disease Monitoring
Naser, M., Nasr, M., & Shehata, L. H. (2023) · International Journal of Progressive Sciences and Technologies · doi:10.52155/ijpsat.v39.1.5361 · Cited by 1 · see citing works
Development and Validation of a Wearable System for Multi-Parametric Stress Level Assessment
Cestaro, F., Marchi, B. D., & Aliverti, A. (2023) · IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) · doi:10.1109/metroxraine58569.2023.10405653 · Cited by 1 · see citing works
Çağatay, B., Yalçın, F., Kıraç, A., Küçukler, N., & Abraham, M. R. (2024) · Stresses · doi:10.3390/stresses4020021 · Cited by 1 · see citing works
Borràs, N., Jiménez, M. S., Casanovas, J., Alemán, C., & Pérez‐Madrigal, M. M. (2022) · Macromolecular Materials and Engineering · doi:10.1002/mame.202200269 · Cited by 1 · see citing works
AGREEMENT BETWEEN NUTRITIONAL SCREENING INSTRUMENTS IN HOSPITALIZED OLDER PATIENTS
Almendra, A. A. R., Leandro‐Merhi, V. A., & de Aquino, J. L. B. (2022) · doi:10.22533/at.ed.0262215085 · Cited by 1 · see citing works
- Authors
- Samson, C., & Koh, A.
- Affiliations
- Binghamton University (US)
- Corresponding author
- Samson, Cheyenne
- Koh, Ahyeon
- ORCID
- Koh, Ahyeon
- Venue
- Frontiers in Bioengineering and Biotechnology
- Publisher
- Frontiers Media SA
- Published
- 2020-09-02
- Volume
- 8
- Pages
- 1037-1037
- ISSN
- 2296-4185 (ISSN-L)
- PMC
- PMC7492543
- OpenAlex
- W3082674943
- Cited by
- 129
- References
- 73
- Citations by year
- 2026: 12 · 2025: 13 · 2024: 27 · 2023: 30 · 2022: 34 · 2021: 13
- FWCI
- 1.61
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Bioengineering and Biotechnology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- State University of New York
- Binghamton University
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Engineering › Biomedical Engineering › Biosensors and Analytical Detection
- Keywords
- stress monitoring, wearable biosensors, sweat analysis, stress biomarkers, flexible devices, continuous physiological monitoring, stress response
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