Wearable health devices-vital sign monitoring, systems and technologies
Open accessAbstract
Wearable Health Devices (WHDs) are increasingly helping people to better monitor their health status both at an activity/fitness level for self-health tracking and at a medical level providing more data to clinicians with a potential for earlier diagnostic and guidance of treatment. The technology revolution in the miniaturization of electronic devices is enabling to design more reliable and adaptable wearables, contributing for a world-wide change in the health monitoring approach. In this paper we review important aspects in the WHDs area, listing the state-of-the-art of wearable vital signs sensing technologies plus their system architectures and specifications. A focus on vital signs acquired by WHDs is made: first a discussion about the most important vital signs for health assessment using WHDs is presented and then for each vital sign a description is made concerning its origin and effect on heath, monitoring needs, acquisition methods and WHDs and recent scientific developments on the area (electrocardiogram, heart rate, blood pressure, respiration rate, blood oxygen saturation, blood glucose, skin perspiration, capnography, body temperature, motion evaluation, cardiac implantable devices and ambient parameters). A general WHDs system architecture is presented based on the state-of-the-art. After a global review of WHDs, we zoom in into cardiovascular WHDs, analysing commercial devices and their applicability versus quality, extending this subject to smart t-shirts for medical purposes. Furthermore we present a resumed evolution of these devices based on the prototypes developed along the years. Finally we discuss likely market trends and future challenges for the emerging WHDs area.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
This reduces the reliability of the data by either overestimating or underestimating heart rate.
“This reduces the reliability of the data by either overestimating or underestimating heart rate [4].”
From Photoplethysmography in Diverse Skin Tones: Evaluating Bias in Smartwatch Health Monitoring (2025) · cites this paper as [4]
Section 5 (page not provided) says sensor contact and movement affect signal quality and the accuracy of extracted heart-activity data. It does not specify that the resulting heart-rate errors can be either overestimates or underestimates. (LLM, conf=0.84)
Experimental — accuracy not yet measuredEfforts are made to measure BP based on pulse wave transition time (PTT) from PPG curve shape or time shift between ECG and PPG in periphery.
“Thus, great efforts are made to measure BP based on the pulse wave transition time (PTT), whether from the shape of the PPG curve or the time shift between ECG and PPG in the periphery [44].”
From The Current State of Optical Sensors in Medical Wearables (2022) · cites this paper as [44]
Monitoring cardiorespiratory activities using a PPG signal is a well-established non-invasive technique.
“Monitoring cardiorespiratory activities using a PPG signal is a well-established non-invasive technique [44,93].”
From The Current State of Optical Sensors in Medical Wearables (2022) · cites this paper as [44]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis
Pantelopoulos, A., & Bourbakis, N. G. (2010) · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · doi:10.1109/tsmcc.2009.2032660 · Cited by 2,296 · see citing works
Monitoring of Vital Signs with Flexible and Wearable Medical Devices
Khan, Y., Ostfeld, A. E., Lochner, C. M., Pierre, A., & Arias, A. C. (2016) · Advanced Materials · doi:10.1002/adma.201504366 · Cited by 1,408 · see citing works
Wearable Sensors for Remote Health Monitoring
Majumder, S., Mondal, T., & Deen, M. (2017) · Sensors · doi:10.3390/s17010130 · Cited by 1,375 · see citing works
A soft, wearable microfluidic device for the capture, storage, and colorimetric sensing of sweat
Koh, A., Kang, D., Xue, Y., Lee, S., Pielak, R. M., Kim, J., Hwang, T., Min, S., Banks, A., Bastien, P., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aaf2593 · Cited by 1,308 · see citing works
Non-invasive wearable electrochemical sensors: a review
Bandodkar, A. J., & Wang, J. (2014) · Trends in Biotechnology · doi:10.1016/j.tibtech.2014.04.005 · Cited by 1,247 · see citing works
Ultrathin conformal devices for precise and continuous thermal characterization of human skin
Webb, R. C., Bonifas, A. P., Behnaz, A., Zhang, Y., Yu, K. J., Cheng, H., Shi, M., Bian, Z., Liu, Z., Kim, Y.-S., et al. (2013) · Nature Materials · doi:10.1038/nmat3755 · Cited by 1,229 · see citing works
Smart wearable systems: Current status and future challenges
Chan, M., Estève, D., Fourniols, J.-Y., Escriba, C., & Campo, E. (2012) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2012.09.003 · Cited by 953 · see citing works
Wearable photoplethysmographic sensors—past and present
Tamura, T., Maeda, Y., Sekine, M., & Yoshida, M. (2014) · Electronics · doi:10.3390/electronics3020282 · Cited by 912 · cited 2× · see citing works
“One of the problems in blood oxygen saturation measurement is when the patient is anemic [13,38,39].”
BackgroundA Wearable Health Care System Based on Knitted Integrated Sensors
Paradiso, R., Loriga, G., & Taccini, N. (2005) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2005.854512 · Cited by 729 · see citing works
Respiration rate monitoring methods: A review
Al-Khalidi, F. Q., Saatchi, R., Burke, D. P., Elphick, H., & Tan, S. (2011) · Pediatric Pulmonology · doi:10.1002/ppul.21416 · Cited by 538 · see citing works
Big Data Analytics in Healthcare
Belle, A., Thiagarajan, R., Soroushmehr, S. M. R., Navidi, F., Beard, D. A., & Najarian, K. (2015) · BioMed Research International · doi:10.1155/2015/370194 · Cited by 527 · see citing works
Banaee, H., Ahmed, M., & Loutfi, A. (2013) · Sensors · doi:10.3390/s131217472 · Cited by 452 · see citing works
Smart wearable body sensors for patient self-assessment and monitoring
Appelboom, G., Camacho, E., Abraham, M. E., Bruce, S. S., Dumont, E. L., Zacharia, B. E., D’Amico, R. S., Slomian, J., Reginster, J., Bruyère, O., et al. (2014) · Archives of Public Health · doi:10.1186/2049-3258-72-28 · Cited by 449 · see citing works
Tierney, M. J., Tamada, J. A., Potts, R. O., Jovanovic, L., & Garg, S. (2001) · Biosensors and Bioelectronics · doi:10.1016/s0956-5663(01)00189-0 · Cited by 390 · see citing works
Detecting Vital Signs with Wearable Wireless Sensors
Yilmaz, T., Foster, R., & Hao, Y. (2010) · Sensors · doi:10.3390/s101210837 · Cited by 343 · see citing works
Wearable Medical Systems for p-Health
Teng, X.-F., Zhang, Y.-T., Poon, C. C. Y., & Bonato, P. (2008) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2008.2008248 · Cited by 310 · see citing works
Lazarus, A. (2007) · Pacing and Clinical Electrophysiology · doi:10.1111/j.1540-8159.2007.00595.x · Cited by 227 · see citing works
Recent advances in noninvasive glucose monitoring
Chung, J. W. Y., So, H., Choi, K., & Wong, T. K. S. (2012) · Medical Devices Evidence and Research · doi:10.2147/mder.s28134 · Cited by 221 · see citing works
ECG Signal Analysis Using Wavelet Transforms
Saritha, C., Sukanya, V., & Murthy, Y. (2008) · Cited by 216 · see citing works
Rienzo, M. D., Rizzo, F., Parati, G., Brambilla, G., Ferratini, M., & Castiglioni, P. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2005.1616161 · Cited by 200 · see citing works
Critical care: the eight vital signs of patient monitoring
Elliott, M., & Coventry, A. (2012) · British Journal of Nursing · doi:10.12968/bjon.2012.21.10.621 · Cited by 199 · see citing works
Chiu, Y.-Y., Lin, W.-Y., Wang, H., et al. (2012) · Sensors and Actuators A Physical · doi:10.1016/j.sna.2012.10.021 · Cited by 185 · see citing works
Estimation of human core temperature from sequential heart rate observations
Buller, M. J., Tharion, W. J., Cheuvront, S. N., Montain, S. J., Kenefick, R. W., Castellani, J. W., Latzka, W. A., Roberts, W. S., Richter, M., Jenkins, O. C., et al. (2013) · Physiological Measurement · doi:10.1088/0967-3334/34/7/781 · Cited by 172 · see citing works
Textile-structured electrodes for electrocardiogram
Xu, P., Zhang, H., & Tao, X. (2008) · Textile Progress · doi:10.1080/00405160802597479 · Cited by 171 · see citing works
Capnography Outside the Operating Rooms
Kodali, B. S. (2012) · Anesthesiology · doi:10.1097/aln.0b013e318278c8b6 · Cited by 159 · see citing works
Guo, X., Huang, Y., Zhao, Y., Mao, L., Gao, L., Pan, W., Zhang, Y., & Liu, P. (2017) · Smart Materials and Structures · doi:10.1088/1361-665x/aa79c3 · Cited by 154 · see citing works
A Review on Architectures and Communications Technologies for Wearable Health-Monitoring Systems
Custodio, V., Herrera, F. J., López, G., & Moreno, J. I. (2012) · Sensors · doi:10.3390/s121013907 · Cited by 148 · see citing works
Wearable Biomedical Measurement Systems for Assessment of Mental Stress of Combatants in Real Time
Seoane, F., Mohíno-Herranz, I., Ferreira, J., Álvarez, L., Buendía, R., Ayllón, D., Llerena, C., & Gil‐Pita, R. (2014) · Sensors · doi:10.3390/s140407120 · Cited by 144 · see citing works
Smart Textiles and Nano-Technology: A General Overview
Patwary, M. S. S. U. (2015) · Journal of Textile Science & Engineering · doi:10.4172/2165-8064.1000181 · Cited by 139 · see citing works
Ambulatory Blood Pressure Monitoring in Clinical Practice: A Review
Turner, J. R., Viera, A. J., & Shimbo, D. (2014) · The American Journal of Medicine · doi:10.1016/j.amjmed.2014.07.021 · Cited by 130 · see citing works
An Optical Fibre-Based Sensor for Respiratory Monitoring
Krehel, M., Schmid, M., Rossi, R. M., Boesel, L. F., Bona, G. L., & Scherer, L. J. (2014) · Sensors · doi:10.3390/s140713088 · Cited by 127 · see citing works
Relationship between core temperature, skin temperature, and heat flux during exercise in heat
Xu, X., Karis, A. J., Buller, M. J., & Santee, W. R. (2013) · European Journal of Applied Physiology · doi:10.1007/s00421-013-2674-z · Cited by 115 · see citing works
AMON: a wearable medical computer for high risk patients
Lukowicz, P., Anliker, U., Ward, J. A., et al. (2003) · International Symposium on Wearable Computers · doi:10.1109/iswc.2002.1167230 · Cited by 109 · see citing works
Wireless and Non-contact ECG Measurement System – the “Aachen SmartChair”
Aleksandrowicz, A., & Leonhardt, S. K. (2007) · Acta Polytechnica · doi:10.14311/974 · Cited by 105 · see citing works
Toward wearable wireless thermometers for internal body temperature measurements
Popovic, Z. B., Momenroodaki, P., & Scheeler, R. (2014) · IEEE Communications Magazine · doi:10.1109/mcom.2014.6917412 · Cited by 85 · see citing works
Intelligent Mobile Health Monitoring System (IMHMS)
Shahriyar, R., Bari, M. F., Kundu, G., et al. (2010) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-642-11745-9_2 · Cited by 82 · see citing works
Fog Computing-Based Smart Health Monitoring System Deploying LoRa Wireless Communication
Kharel, J., Reda, H. T., & Shin, S. Y. (2018) · IETE Technical Review · doi:10.1080/02564602.2017.1406828 · Cited by 82 · see citing works
Jin, A., Yin, B., Morren, G., Duric, H., & Aarts, R. M. (2009) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2009.5333116 · Cited by 75 · see citing works
Sensor requirements for activity recognition on smart watches
Bieber, G., Haescher, M., & Vahl, M. (2013) · Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments · doi:10.1145/2504335.2504407 · Cited by 72 · see citing works
Accurate Temperature Measurements for Medical Research Using Body Sensor Networks
Boano, C. A., Lasagni, M., Römer, K., & Lange, T. (2011) · IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops (ISORCW) · doi:10.1109/isorcw.2011.28 · Cited by 70 · see citing works
Hsu, Y.-P., & Young, D. J. (2014) · IEEE Sensors Journal · doi:10.1109/jsen.2014.2345779 · Cited by 70 · see citing works
Pulse oximetry-derived respiratory rate in general care floor patients
Addison, P. S., Watson, J. N., Mestek, M. L., Ochs, J. P., Uribe, A. A., & Bergese, S. D. (2014) · Journal of Clinical Monitoring and Computing · doi:10.1007/s10877-014-9575-5 · Cited by 69 · see citing works
Development of a luminous textile for reflective pulse oximetry measurements
Krehel, M., Wolf, M., Boesel, L. F., Rossi, R. M., Bona, G. L., & Scherer, L. J. (2014) · Biomedical Optics Express · doi:10.1364/boe.5.002537 · Cited by 66 · see citing works
Blood pressure estimation from pulse wave velocity measured on the chest
Puke, S., Suzuki, T., Kanako, N., Tanaka, H., & Minami, S. (2013) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2013.6610946 · Cited by 62 · see citing works
Design of a garment-based sensing system for breathing monitoring
Guo, L., Berglin, L., Wiklund, U., & Mattila, H. (2012) · Textile Research Journal · doi:10.1177/0040517512444336 · Cited by 62 · see citing works
Protocol and Architecture to Bring Things into Internet of Things
Asensio, Á., Marco, Á., Blasco, R., & Casas, R. (2014) · International Journal of Distributed Sensor Networks · doi:10.1155/2014/158252 · Cited by 57 · see citing works
Wearable sensors: can they benefit patients with chronic kidney disease?
Wieringa, F. P., Broers, N. J. H., Kooman, J. P., SANDE, F. M. V. D., & Hoof, C. A. V. (2017) · Expert Review of Medical Devices · doi:10.1080/17434440.2017.1342533 · Cited by 56 · see citing works
Khan, Z. A., Sivakumar, S. C., Phillips, W., & Robertson, B. (2014) · International Journal of Distributed Sensor Networks · doi:10.1155/2014/627689 · Cited by 54 · see citing works
Cunha, J. P. S., Cunha, B., Pereira, A. S., et al. (2010) · doi:10.4108/icst.pervasivehealth2010.899 · Cited by 53 · see citing works
Defining Requirements and Related Methods for Designing Sensorized Garments
Andreoni, G., Standoli, C. E., & Perego, P. (2016) · Sensors · doi:10.3390/s16060769 · Cited by 52 · see citing works
Binary classification of running fatigue using a single inertial measurement unit
Buckley, C., O'Reilly, M. A., Whelan, D. F., et al. (2017) · IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN) · doi:10.1109/bsn.2017.7936040 · Cited by 52 · see citing works
Estimation of Human Internal Temperature from Wearable Physiological Sensors
Buller, M. J., Tharion, W. J., Hoyt, R. W., & Jenkins, O. C. (2010) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v24i2.18809 · Cited by 50 · see citing works
Textile integrated sensors and actuators for near-infrared spectroscopy
Zysset, C., Nasseri, N., Büthe, L., Munzenrieder, N. S., Kinkeldei, T., Petti, L., Kleiser, S., Salvatore, G. A., Wolf, M., & Tröster, G. (2013) · Optics Express · doi:10.1364/oe.21.003213 · Cited by 49 · see citing works
Environmental sensing by wearable device for indoor activity and location estimation
Jin, M., Zou, H., Weekly, K., et al. (2014) · Proceedings of the Annual Conference of the IEEE Industrial Electronics Society · doi:10.1109/iecon.2014.7049320 · Cited by 46 · see citing works
Wearable health systems: From smart technologies to real applications
Lymberis, A., & Gatzoulis, L. (2006) · doi:10.1109/iembs.2006.260948 · Cited by 46 · see citing works
Paiva, J. S., Dias, D., & Cunha, J. P. S. (2017) · PLoS ONE · doi:10.1371/journal.pone.0180942 · Cited by 43 · see citing works
Self-citationWac, K., & Tsiourti, C. (2014) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2014.2332157 · Cited by 39 · see citing works
Estimating Resting Core Temperature Using Heart Rate
Looney, D. P., Buller, M. J., Gribok, A. V., Leger, J., Potter, A. W., Rumpler, W. V., Tharion, W. J., Welles, A. P., Friedl, K. E., & Hoyt, R. W. (2018) · Journal for the Measurement of Physical Behaviour · doi:10.1123/jmpb.2017-0003 · Cited by 37 · see citing works
WSN4QoL: A WSN-Oriented Healthcare System Architecture
Tennina, S., Renzo, M. D., Kartsakli, E., et al. (2014) · International Journal of Distributed Sensor Networks · doi:10.1155/2014/503417 · Cited by 36 · see citing works
Highly wearable galvanic skin response sensor using flexible and conductive polymer foam
Kim, J., Kwon, S., Seo, S., & Park, K. (2014) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2014.6945148 · Cited by 35 · see citing works
Preliminary results from BCG and ECG measurements in the heart failure clinic
Giovangrandi, L., Inan, O. T., Banerjee, D., et al. (2012) · doi:10.1109/embc.2012.6346790 · Cited by 34 · see citing works
The most important vital signs are not being measured
Ahrens, T. (2008) · Australian Critical Care · doi:10.1016/j.aucc.2007.12.061 · Cited by 33 · see citing works
Gaura, E., Kemp, J., & Brusey, J. (2013) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2013.2254485 · Cited by 32 · see citing works
Tissue-Informative Mechanism for Wearable Non-invasive Continuous Blood Pressure Monitoring
Woo, S. H., Choi, Y. Y., Kim, D. J., et al. (2014) · Scientific Reports · doi:10.1038/srep06618 · Cited by 32 · see citing works
SpO2 Sensor Embedded in a Finger Ring: design and implementation
Solà, J., Castoldi, S., Chételat, O., Correvon, M., Dasen, S., Droz, S., Jacob, N., Kormann, R., Neumann, V., Perrenoud, A., et al. (2006) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2006.260820 · Cited by 30 · see citing works
Luo, N., Ding, J., Zhao, N., et al. (2014) · doi:10.1109/bsn.2014.25 · Cited by 30 · see citing works
A rate-based transcutaneous CO2sensor for noninvasive respiration monitoring
Chatterjee, M., Ge, X., Kostov, Y. V., et al. (2015) · Physiological Measurement · doi:10.1088/0967-3334/36/5/883 · Cited by 30 · see citing works
Multi-parameters wireless shirt for physiological monitoring
Sardini, E., Serpelloni, M., & Ometto, M. (2011) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea.2011.5966654 · Cited by 29 · see citing works
Mohammed, S., & Tashev, I. (2017) · 2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN) · doi:10.1109/bsn.2017.7936037 · Cited by 29 · see citing works
Multi-channel pulse oximetry for wearable physiological monitoring
Mendelson, Y., Dao, D. K., & Chon, K. H. (2013) · Wearable and Implantable Body Sensor Networks · doi:10.1109/bsn.2013.6575518 · Cited by 27 · see citing works
Sobel, S. I., Chomentowski, P. J., Vyas, N., André, D., & Toledo, F. G. S. (2014) · Journal of Diabetes Science and Technology · doi:10.1177/1932296813516182 · Cited by 26 · see citing works
Respiratory rate extraction from single-lead ECG using homomorphic filtering
Sharma, H. K., Sharma, K. K., & Bhagat, O. L. (2015) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2015.01.024 · Cited by 24 · see citing works
Reliability of a re-usable wireless Epidermal temperature sensor in real conditions
Miozzi, C., Amendola, S., Bergamini, A., et al. (2017) · IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN) · doi:10.1109/bsn.2017.7936016 · Cited by 23 · see citing works
SQUID: Sensorized shirt with smartphone interface for exercise monitoring and home rehabilitation
Farjadian, A., Sivak, M., & Mavroidis, C. (2013) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2013.6650451 · Cited by 22 · see citing works
Capnography screening for sleep apnea in patients with acute stroke
Dziewas, R., Hopmann, B., Humpert, M., et al. (2005) · Neurological Research · doi:10.1179/016164105x18359 · Cited by 20 · see citing works
Chen, C.-M., Kwasnicki, R. M., Lo, B. P. L., & Yang, G. (2014) · Wearable and Implantable Body Sensor Networks · doi:10.1109/bsn.2014.33 · Cited by 20 · see citing works
Maglott, J. C., Xu, J., & Shull, P. B. (2017) · Wearable and Implantable Body Sensor Networks · doi:10.1109/bsn.2017.7936000 · Cited by 20 · see citing works
Orlikowski, D., Prigent, H., Ambrosi, X., et al. (2016) · Respiratory Medicine · doi:10.1016/j.rmed.2016.05.022 · Cited by 16 · see citing works
Changes in ST, QT and RR ECG intervals during acute stress in firefighters: A pilot study
Paiva, J. S., Rodrigues, S., & Cunha, J. P. S. (2016) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2016.7591452 · Cited by 16 · see citing works
Liu, G., Smith, K., & Kaya, T. (2014) · doi:10.1109/embc.2014.6943929 · Cited by 14 · see citing works
Measuring heart rate, breathing rate and skin conductance during exercise
Nikolic-Popovic, J., & Goubran, R. A. (2011) · IEEE International Symposium on Medical Measurements and Applications (MeMeA) · doi:10.1109/memea.2011.5966751 · Cited by 13 · see citing works
Aarts, V., Dellimore, K. H. J., Wijshoff, R. W. C. G. R., et al. (2017) · IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN) · doi:10.1109/bsn.2017.7936033 · Cited by 13 · see citing works
Horváth, C., Brutsche, M. H., Baty, F., et al. (2016) · Swiss Medical Weekly · doi:10.4414/smw.2016.14373 · Cited by 12 · see citing works
Portable continuous glucose monitoring systems with implantable fluorescent hydrogel microfibers
Takahashi, M., Heo, Y. J., Kawanishi, T., et al. (2013) · Proceedings, IEEE micro electro mechanical systems · doi:10.1109/memsys.2013.6474439 · Cited by 8 · see citing works
Dias, D., Ferreira, N., & Cunha, J. P. S. (2017) · IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN) · doi:10.1109/bsn.2017.7936010 · Cited by 7 · see citing works
Self-citationLacirignola, J. J., Weston, C., Byrd, K., et al. (2017) · IEEE International Conference on Wearable and Implantable Body Sensor Networks (BSN) · doi:10.1109/bsn.2017.7936022 · Cited by 6 · see citing works
Analysis of a dielectric EAP as smart component for a neonatal respiratory simulator
Tognarelli, S., Deri, L., Cecchi, F., et al. (2013) · doi:10.1109/embc.2013.6609535 · Cited by 4 · see citing works
MyWear: Customized green, safe, healthy and smart work- and sports-wear
Cafagna, C., Diterlizzi, A., & Voorhorst, F. (2014) · International Conference on Engineering, Technology and Innovation (ICE/ITMC) · doi:10.1109/ice.2014.6871559 · Cited by 3 · see citing works
Flagged first, then by citations
Research works printed but not linked: 3
- [128]Zhang Z.B. Shen Y.H. Wang W.D. Wang B.Q. Zheng J.W. Design and implementation of sensing shirt for ambulatory cardiopulmonary monitoring J. Med. Biol. Eng. 2011 31 207 215 10.5405/jmbe.801 · DOI
- [133]Hayward J. Chansin G. Zervos H. Wearable Technology 2017–2027: Markets, Players, Forecasts IDTechEx Cambridge, UK 2017
- [136]IHS Technology World Market for Telehealth—2014 Edition IHS Markit London, UK 2014
Cited by
Sorted by citations
An overview of clinical decision support systems: Benefits, risks, and strategies for success
Sutton, R. T., Pincock, D., Baumgart, D. C., Sadowski, D. C., Fedorak, R. N., & Kroeker, K. I. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-0221-y · Cited by 3,019 · see citing works
The rise of artificial intelligence in healthcare applications
Bohr, A., & Memarzadeh, K. (2020) · Artificial Intelligence in Healthcare · doi:10.1016/b978-0-12-818438-7.00002-2 · Cited by 1,636 · see citing works
The impact of wearable technologies in health research: scoping review
Huhn, S., Axt, M., Gunga, H.-C., Maggioni, M. A., Munga, S., Obor, D., Sié, A., Boudo, V., Bunker, A., Sauerborn, R., et al. (2022) · JMIR mHealth and uHealth · doi:10.2196/34384 · Cited by 379 · see citing works
Wang, C., He, T., Zhou, H., Zhang, Z., & Lee, C. (2023) · Bioelectronic Medicine · doi:10.1186/s42234-023-00118-1 · Cited by 295 · see citing works
Tang, M. S. S., Moore, K., McGavigan, A., Clark, R. A., & Ganesan, A. N. (2020) · JMIR mhealth and uhealth · doi:10.2196/15576 · Cited by 134 · see citing works
The Use of Wearables in Clinical Trials During Cancer Treatment: Systematic Review
Beauchamp, U. L., Pappot, H., & Holländer-Mieritz, C. (2020) · JMIR mHealth and uHealth · doi:10.2196/22006 · Cited by 110 · see citing works
Wearables in cardiology: Here to stay
Dagher, L., Shi, H., Zhao, Y., & Marrouche, N. F. (2020) · Heart Rhythm · doi:10.1016/j.hrthm.2020.02.023 · Cited by 107 · see citing works
The Current State of Optical Sensors in Medical Wearables
Vavrinsky, E., Esfahani, N. E., Hausner, M., Kuzma, A., Rezo, V., Donoval, M., & Kosnacova, H. (2022) · Biosensors · doi:10.3390/bios12040217 · Cited by 103 · see citing works
“The temperature is affected by blood circulation, HR, stress, metabolism, and external microclimatic factors [44].”
BackgroundMethodInfluentialThe Use of Wearable Devices in Oncology Patients: A Systematic Review
Chow, R., Drkulec, H., Im, J. H. B., Tsai, J., Nafees, A., Kumar, S., Hou, T., Fazelzad, R., Leighl, N. B., Krzyzanowska, M., et al. (2024) · The Oncologist · doi:10.1093/oncolo/oyad305 · Cited by 85 · see citing works
Klum, M., Urban, M., Tigges, T., Pielmus, A.-G., Feldheiser, A., Schmitt, T., & Orglmeister, R. (2020) · Sensors · doi:10.3390/s20072033 · Cited by 75 · see citing works
Learning from Large-Scale Wearable Device Data for Predicting the Epidemic Trend of COVID-19
Zhu, G., Li, J., Meng, Z., Yu, Y., Li, Y., Tang, X., Dong, Y., Sun, G., Zhou, R., Wang, H., et al. (2020) · Discrete Dynamics in Nature and Society · doi:10.1155/2020/6152041 · Cited by 77 · see citing works
Telemedicine — maintaining quality during times of transition
Romanick-Schmiedl, S., & Raghu, G. (2020) · Nature Reviews Disease Primers · doi:10.1038/s41572-020-0185-x · Cited by 75 · see citing works
Miranda, B., Rea, I., Dardano, P., De Stefano, L., & Forestiere, C. (2021) · Biosensors · doi:10.3390/bios11040107 · Cited by 63 · see citing works
Wearable Healthcare and Continuous Vital Sign Monitoring with IoT Integration
Taherdoost, H. (2024) · Computers, Materials & Continua · doi:10.32604/cmc.2024.054378 · Cited by 47 · see citing works
Siddi, S., Bailon, R., Giné-Vázquez, I., Matcham, F., Lamers, F., Kontaxis, S., Laporta, E., Garcia, E., Lombardini, F., Annas, P., et al. (2023) · Psychological Medicine · doi:10.1017/s0033291723001034 · Cited by 31 · see citing works
Deep learning in voice analysis for diagnosing vocal cord pathologies: a systematic review
Tessler, I., Primov-Fever, A., Soffer, S., Anteby, R., Gecel, N. A., Livneh, N., Alon, E. E., Zimlichman, E., & Klang, E. (2024) · European Archives of Oto-Rhino-Laryngology · doi:10.1007/s00405-023-08362-6 · Cited by 18 · see citing works
Intelligent Child Safety System using Machine Learning in IoT Devices
Srinivasan, A., Abirami, S., Divya, N., Akshya, R., & Sreeja, B. S. (2020) · 2020 5th International Conference on Computing, Communication and Security (ICCCS) · doi:10.1109/icccs49678.2020.9277136 · Cited by 17 · see citing works
Papandreou, P., Amerikanou, C., Vezou, C., Gioxari, A., Kaliora, A. C., & Skouroliakou, M. (2023) · Nutrients · doi:10.3390/nu15020432 · Cited by 17 · see citing works
Sparse System Identification of Leptin Dynamics in Women With Obesity
Amin, M. R., Pednekar, D. D., Azgomi, H. F., van Wietmarschen, H., Aschbacher, K., & Faghih, R. T. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.769951 · Cited by 14 · see citing works
Photoplethysmography in Diverse Skin Tones: Evaluating Bias in Smartwatch Health Monitoring
Asif, S., AlSaafeen, A., Nadar, S., Nambiar, S., Dannawi, J., Korrapati, H., & Wilkhoo, H. S. (2025) · Cureus · doi:10.7759/cureus.94074 · Cited by 9 · see citing works
- Authors
- Dias, D., & Paulo Silva Cunha, J.
- Affiliations
- Institute for Systems Engineering and Computers (PT)
- Biomedical Research and INnovation (BRAIN), Centre for Biomedical Engineering Research (C-BER), INESC Technology and Science, Porto 4200-465, Portugal
- Corresponding author
- Dias, Duarte
- ORCID
- Dias, Duarte
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2018-07-25
- Volume
- 18
- Issue
- 8
- Pages
- 2414
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC6111409
- OpenAlex
- W2884996318
- Cited by
- 919
- References
- 88
- Citations by year
- 2026: 78 · 2025: 128 · 2024: 118 · 2023: 122 · 2022: 143 · 2021: 139 · 2020: 120 · 2019: 64 · 2018: 7
- FWCI
- 6.71
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Fundação para a Ciência e a Tecnologia (CMUP-ERI/FIA/0031/2013)
- European Regional Development Fund (NORTE-01-0145-FEDER-000016)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Keywords
- wearable health devices, vital signs monitoring, electrocardiogram, heart rate, blood pressure, respiration rate, oxygen saturation, blood glucose, capnography, body temperature, motion sensing, cardiac implantable electronic devices, cardiovascular monitoring
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review