Wearable sensors/systems and their impact on biomedical engineering
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The first decade of research in wearable technology was marked by an emphasis on the engineering work needed to develop wearable sensors and systems.
“Whereas the first decade of research in the field of wearable technology was marked by an emphasis on the engineering work needed to develop wearable sensors and systems [123]”
From A review of wearable sensors and systems with application in rehabilitation (2012) · cites this paper as [123]
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A review of wearable sensors and systems with application in rehabilitation
Patel, S., Park, H., Bonato, P., Chan, L., & Rodgers, M. (2012) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-9-21 · Cited by 2,396 · see citing works
“Conclusions Whereas the first decade of research in the field of wearable technology was marked by an emphasis on the engineering work needed to develop wearable sensors and systems [123], recent studies have been focused on the application of such technology toward monitoring health and wellness.”
BackgroundSelf-citationA 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
“In addition to that, WHMS constitute a new means to address the issues of managing and monitoring chronic diseases, elderly people, postoperative rehabilitation patients, and persons with special abilities [5], [6].”
BackgroundWearable Sensors for Remote Health Monitoring
Majumder, S., Mondal, T., & Deen, M. (2017) · Sensors · doi:10.3390/s17010130 · Cited by 1,375 · see citing works
“Besides this, wearable GSR monitoring system allows patients to monitor GSR level in their home environment to provide a better assessment of their psychophysiological condition than the evaluation made at laboratories or hospitals from short-term measurement [83,84].”
BackgroundGait Analysis Using Wearable Sensors
Tao, W., Liu, T., Zheng, R., & Feng, H. (2012) · Sensors · doi:10.3390/s120202255 · Cited by 1,170 · see citing works
“force sensors, strain gauges, inclinometers, goniometers, and so on, can measure various characteristics of the human gait [20,21].”
BackgroundFoot Plantar Pressure Measurement System: A Review
Razak, A. H. A., Zayegh, A., Begg, R. K., & Wahab, Y. (2012) · Sensors · doi:10.3390/s120709884 · Cited by 825 · see citing works
“Typical applications are footwear design [1], sports performance analysis and injury prevention [2], improvement in balance control [3], and diagnosing disease [4].”
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A Wearable Sensor for Unobtrusive, Long-Term Assessment of Electrodermal Activity
Poh, M.-Z., Swenson, N. C., & Picard, R. W. (2010) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2009.2038487 · Cited by 693 · see citing works
Bonato, P. (2010) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/memb.2010.936554 · Cited by 423 · see citing works
“O ver the past decade, wearable technology has gained the interest of researchers and clinicians [1].”
BackgroundSelf-citationNoise‐enhanced balance control in patients with diabetes and patients with stroke
Priplata, A. A., Patritti, B. L., Niemi, J. B., Hughes, R. L., Gravelle, D. C., Lipsitz, L. A., Veves, A., Stein, J. M., Bonato, P., & Collins, J. J. (2005) · Annals of Neurology · doi:10.1002/ana.20670 · Cited by 377 · see citing works
Self-citationAmbulatory Position and Orientation Tracking Fusing Magnetic and Inertial Sensing
Roetenberg, D., Slycke, P., & Veltink, P. H. (2007) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2006.889184 · Cited by 334 · see citing works
“RECENT developments in miniature sensor technology have opened many possibilities for motion analysis outside the laboratory [3].”
BackgroundRecent Advances in Wearable Sensors for Health Monitoring
Rodgers, M. M., Pai, V. M., & Conroy, R. S. (2015) · IEEE Sensors Journal · doi:10.1109/jsen.2014.2357257 · Cited by 325 · see citing works
“Perhaps the most notable of these is the ECG Holter monitor for detecting arrhythmias [3].”
BackgroundWearable 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
“back to the users and/or medical professionals, and firing an alarm signal when an adverse condition occurs [8], [12]–[14].”
BackgroundSelf-citationBarometric Pressure and Triaxial Accelerometry-Based Falls Event Detection
Bianchi, F., Redmond, S. J., Narayanan, M. R., Cerutti, S., & Lovell, N. H. (2010) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2010.2070807 · Cited by 296 · see citing works
“communication protocols, have permitted the development of wearable devices for clinical applications [13].”
BackgroundSmart Sensor Systems for Wearable Electronic Devices
An, B. W., Shin, J. H., Kim, S.-Y., Kim, J., Ji, S., Park, J., Lee, Y., Jang, J., Park, Y., Cho, E., et al. (2017) · Polymers · doi:10.3390/polym9080303 · Cited by 293 · see citing works
“In recent years, the average age of the world’s population has been increasing, and healthcare monitoring devices have received a lot of attention because they improve the length and quality of people’s lives [1].”
BackgroundSensors-Based Wearable Systems for Monitoring of Human Movement and Falls
Shany, T., Redmond, S. J., Narayanan, M. R., & Lovell, N. H. (2011) · IEEE Sensors Journal · doi:10.1109/jsen.2011.2146246 · Cited by 286 · see citing works
“where sensors are woven into real wearable objects, such as shirts and vests [7].”
BackgroundWearable inertial sensors for human movement analysis
Iosa, M., Picerno, P., Paolucci, S., & Morone, G. (2016) · Expert Review of Medical Devices · doi:10.1080/17434440.2016.1198694 · Cited by 282 · see citing works
“Bonato [162] supported the idea of this prevision of a further increment also for the potential use of wearable inertial devices in daily-life monitoring patients over extensive periods of time, similar to the ambulatory systems for electrocardiographic monitoring (such as the Holter) which has been part of the routin…”
BackgroundHighly flexible, wearable, and disposable cardiac biosensors for remote and ambulatory monitoring
Lee, S. P., Ha, G., Wright, D. E., Ma, Y., Sen-Gupta, E., Haubrich, N. R., Branche, P. C., Li, W., Huppert, G. L., Johnson, M. D., et al. (2018) · npj Digital Medicine · doi:10.1038/s41746-017-0009-x · Cited by 229 · see citing works
Future affective technology for autism and emotion communication
Picard, R. W. (2009) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2009.0143 · Cited by 212 · see citing works
“…for monitoring people accurately over extensive periods of time has stimulated interest in comfortable wearable technologies—unobtrusive devices that can be worn during normal daily activity to gather physiological data over periods of several weeks or months (Picard & Healey 1997; Bonato 2003).”
BackgroundWearable medical devices for tele-home healthcare
Hung, K., Zhang, Y. T., & Tai, B. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2004.1404503 · Cited by 211 · see citing works
“These devices not only allow long-term, continuous, and unobstructed monitoring of physiologic information, such as biopotential, photoplethysmogram (PPG), heart rate (HR), blood pressure (BP), blood oxygen saturation (SaO2), and respiration, but can also provide more realistic indication of the patient’s health statu…”
BackgroundLmberis, A., & Dittmar, A. (2007) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/memb.2007.364926 · Cited by 194 · see citing works
Motion-tolerant magnetic earring sensor and wireless earpiece for wearable photoplethysmography
Poh, M., Swenson, N. C., & Picard, R. W. (2010) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2010.2042607 · Cited by 189 · see citing works
“Continuous and noninvasive assessments of cardiovascular function are important in promoting healthy lifestyles, surveillance for cardiovascular catastrophes, and assessing the impact of clinical interventions [1].”
BackgroundMohan, D. M., Khandoker, A. H., Wasti, S. A., Alali, S. I. I. I., Jelinek, H. F., & Khalaf, K. A. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.650024 · Cited by 185 · see citing works
A Novel Approach to Monitor Rehabilitation Outcomes in Stroke Survivors Using Wearable Technology
Patel, S., Hughes, R., Hester, T., Stein, J., Akay, M., Dy, J. G., & Bonato, P. (2010) · Proceedings of the IEEE · doi:10.1109/jproc.2009.2038727 · Cited by 170 · see citing works
Self-citationValenza, G., Nardelli, M., Lanatá, A., Gentili, C., Bertschy, G., Paradiso, R., & Scilingo, E. (2014) · IEEE journal of biomedical and health informatics · doi:10.1109/jbhi.2013.2290382 · Cited by 158 · see citing works
Inertial and magnetic sensing of human motion
Roetenberg, D. (2006) · University of Twente Research Information · Cited by 166 · see citing works
Audio-Biofeedback for Balance Improvement: An Accelerometry-Based System
Chiari, L., Dozza, M., Cappello, A., Horak, F. B., Macellari, V., & Giansanti, D. (2005) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2005.857673 · Cited by 160 · see citing works
“vances in miniature devices, and a growing interest in noninvasive patient monitoring and management have stimulated the development of real-time portable biomedical systems that are compact and have low cost [4], [5].”
BackgroundEnabling ubiquitous patient monitoring: Model, decision protocols, opportunities and challenges
Sneha, S., & Varshney, U. (2009) · Decision Support Systems · doi:10.1016/j.dss.2008.11.014 · Cited by 153 · see citing works
“Wearable biomedical sensors and biomedical clothing and other monitoring devices have made possible the collection and analysis of physiological patient data while the patient is mobile [1].”
BackgroundA review of wearable sensors and systems with application in rehabilitation
Patel, S., Park, H., Bonato, P., Chan, L. E., & Rodgers, M. M. (2011) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 148 · see citing works
Self-citationA Wearable Point-of-Care System for Home Use That Incorporates Plug-and-Play and Wireless Standards
Yao, J., Schmitz, R., & Warren, S. (2005) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2005.854507 · Cited by 147 · see citing works
“Digital Object Identifier 10.1109/TITB.2005.854507 [8], [12]) require continuous, long-term monitoring, rather than episodic assessments.”
BackgroundInfluentialRecent developments and trends in biomedical sensors
Engin, M., Demirel, A., Engın, E. Z., & Fedakar, M. (2004) · Measurement · doi:10.1016/j.measurement.2004.11.002 · Cited by 140 · see citing works
Giansanti, D., Maccioni, G., & Macellari, V. (2005) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2005.847404 · Cited by 139 · see citing works
Neurological Tremor: Sensors, Signal Processing and Emerging Applications
Grimaldi, G., & Manto, M. (2010) · Sensors · doi:10.3390/s100201399 · Cited by 138 · see citing works
“The field of wearable sensors in bioengineering applications and medicine is growing rapidly [52].”
BackgroundExpert systems: Definitions, advantages and issues in medical field applications
Saibene, A., Assale, M., & Giltri, M. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2021.114900 · Cited by 133 · see citing works
Marra, F., Minutillo, S., Tamburrano, A., et al. (2020) · Materials & Design · doi:10.1016/j.matdes.2020.109306 · Cited by 128 · see citing works
Recent progress of bio-based smart wearable sensors for healthcare applications
Banitaba, S. N., Khademolqorani, S., Jadhav, V. V., Chamanehpour, E., Mishra, Y. K., Mostafavi, E., & Kaushik, A. K. (2023) · Materials Today Electronics · doi:10.1016/j.mtelec.2023.100055 · Cited by 124 · see citing works
Jalal, A., Quaid, M. A. K., Tahir, S. B. U. D., et al. (2020) · Sensors · doi:10.3390/s20226670 · Cited by 120 · see citing works
Smart-surface: Large scale textile pressure sensors arrays for activity recognition
Cheng, J., Sundholm, M., Zhou, B., Hirsch, M., & Lukowicz, P. (2016) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2016.01.007 · Cited by 108 · see citing works
Chen, J., Dai, Y., Grimaldi, N. S., Lin, J., Hu, B., Wu, Y., & Gao, S. (2021) · Advanced Materials Technologies · doi:10.1002/admt.202100566 · Cited by 110 · see citing works
An Ultrasound Wearable System for the Monitoring and Acceleration of Fracture Healing in Long Bones
Protopappas, V. C., Baga, D. A., Fotiadis, D. I., Likas, A. C., Papachristos, A. A., & Malizos, Κ. Ν. (2005) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2005.851507 · Cited by 104 · see citing works
“Accelerating the time of healing is associated with major clinical, social and economical importance [33], considering that about 5%–10% of all untreated fractures will eventually fail to heal [30].”
BackgroundAnalog Integrated Circuits Design for Processing Physiological Signals
Li, Y., Poon, C. C. Y., & Zhang, Y. (2010) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2010.2082521 · Cited by 100 · see citing works
“G LOBAL population ageing and prevalence of chronic diseases have placed substantial pressure on our current healthcare systems [1]–[3].”
BackgroundLymberis, A., & Paradiso, R. (2008) · doi:10.1109/iembs.2008.4650403 · Cited by 95 · see citing works
Healthcare in the Smart Home: A Study of Past, Present and Future
Bennett, J., Rokas, O., & Chen, L. (2017) · Sustainability · doi:10.3390/su9050840 · Cited by 92 · see citing works
“Another advantage noted by Paolo Bonato [62] more than decade ago that wearable sensor platforms have progressed to produce medically accurate signals and the gadgets allow measuring a patient for an extended period, which could last even few month, and it is a great advantage in contrast to a stationary technology.”
BackgroundInertial sensors versus standard systems in gait analysis: a systematic review and meta-analysis
Petraglia, F., Scarcella, L., Pedrazzi, G., Brancato, L., Puers, R., & Costantino, C. (2019) · European Journal of Physical and Rehabilitation Medicine · doi:10.23736/s1973-9087.18.05306-6 · Cited by 93 · see citing works
Estimating fugl-meyer clinical scores in stroke survivors using wearable sensors
Del Din, S., Patel, S., Cobelli, C., & Bonato, P. (2011) · 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society · doi:10.1109/iembs.2011.6091444 · Cited by 90 · see citing works
“Wearable sensors could be used to address this problem [4, 5, 6].”
MethodSelf-citationWireless technologies for telemedicine
Ng, H. S., Sim, M. L., Tan, C. M., & Wong, C. C. (2006) · BT Technology Journal · doi:10.1007/s10550-006-0050-9 · Cited by 86 · see citing works
Guest Editorial Introduction to the Special Section on Pervasive Healthcare
Korhonen, I., & Bardram, J. E. (2004) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2004.835337 · Cited by 83 · see citing works
“A brief summary of state-of-the-art technology in this domain may be found, e.g., in [3] and [7].”
BackgroundData mining techniques to detect motor fluctuations in Parkinson's disease
Bonato, P., Sherrill, D. M., Standaert, D. G., Salles, S. S., & Akay, M. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2004.1404319 · Cited by 82 · see citing works
“Recent advances in wearable sensor technology [3] indicate that numerous systems are currently available or under development that could be utilized to monitor motor functions in PD patients.”
BackgroundSelf-citationMeijer, H. A. W., Graafland, M., Goslings, J. C., & Schijven, M. P. (2017) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2017.10.018 · Cited by 82 · see citing works
Nag, A., Simorangkir, R. B. V. B., Valentin, E., Björninen, T., Ukkonen, L., Hashmi, R. M., & Mukhopadhyay, S. C. (2018) · IEEE Access · doi:10.1109/access.2018.2881463 · Cited by 79 · see citing works
“Another essential parameter to be considered when it comes to the usage of sensor in wearable application is the unobtrusiveness of the sensor [1], [31], [32].”
BackgroundAdvances in wearable technology and its medical applications
Bonato, P. (2010) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2010.5628037 · Cited by 81 · see citing works
“EARABLE technology has recently gained the interest of researchers and clinicians [ 1 ].”
BackgroundSelf-citationRodríguez‐Rodríguez, I., Chatzigiannakis, I., Rodríguez, J., Maranghi, M., Gentili, M., & Zamora, M. Á. (2019) · Sensors · doi:10.3390/s19204482 · Cited by 79 · see citing works
“Along with the aforementioned benefits, the use of multiple wearable devices necessitates their daily maintenance, which increases the complexity of the lives of diabetic people [11], potentially leading to a decline in the perceived quality of life [12].”
BackgroundWearable sensors: Opportunities and challenges for low-cost health care
Fletcher, R., Poh, M., & Eydgahi, H. (2010) · Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society · doi:10.1109/iembs.2010.5626734 · Cited by 79 · see citing works
Real-Time continuous gait phase and speed estimation from a single sensor
Quintero, D., Lambert, D. J., Villarreal, D. J., & Gregg, R. D. (2017) · IEEE Conference on Control Technology and Applications (CCTA) · doi:10.1109/ccta.2017.8062565 · Cited by 80 · see citing works
Valenza, G., Citi, L., Gentili, C., Lanatá, A., Scilingo, E., & Barbieri, R. (2015) · IEEE journal of biomedical and health informatics · doi:10.1109/jbhi.2014.2307584 · Cited by 68 · see citing works
“, sensorized t-shirts [15]–[22] or gloves [23], [24], are strongly recommended.”
BackgroundA Recommendation System for Proactive Health Monitoring Using IoT and Wearable Technologies
Asthana, S., Megahed, A., & Strong, R. (2017) · doi:10.1109/aims.2017.11 · Cited by 81 · see citing works
“We ran it for 50 target classes (disease risks) and trained it for 135,000 data points [1].”
BackgroundMethodWearables: Fundamentals, advancements, and a roadmap for the future
Park, S., & Jayaraman, S. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-819246-7.00001-2 · Cited by 75 · see citing works
Fletcher, R., Tam, S., Omojola, O., Redemske, R., & Kwan, J. (2011) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2011.6090513 · Cited by 74 · see citing works
“More recent work in the field of emotion has focused on electronic measurement of emotion by monitoring the Autonomic Nervous System (ANS) activity and using a simple two-dimensional model of emotion or mood with “arousal” and “valence” as its principle axes [2-4].”
MethodLee, J., Hong, W., & Hur, P. (2021) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2021.3098689 · Cited by 73 · see citing works
Kinematics based sensory fusion for wearable motion assessment in human walking
Šlajpah, S., Kamnik, R., & Munih, M. (2013) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2013.11.012 · Cited by 73 · see citing works
“EMS components are convenient to be worn by the user [1] r to be implemented on a wearable robotic structure, such as ctive prostheses [2,3], orthoses [4,5], and exoskeletons [6,7].”
BackgroundMethodInfluentialTechnological Innovations Enabling Automatic, Context-Sensitive Ecological Momentary Assessment
Intille, S. S. (2007) · The Science of Real-Time Data Capture · doi:10.1093/oso/9780195178715.003.0016 · Cited by 72 · see citing works
Technologies for Assessment of Motor Disorders in Parkinson’s Disease: A Review
Oung, Q. W., Muthusamy, H., Lee, H. L., Basah, S. N., Yaacob, S., Sarillee, M., & Lee, C. K. (2015) · Sensors · doi:10.3390/s150921710 · Cited by 70 · see citing works
“The combination of multimodal sensors (accelerometer, gyroscope and magnetometer) forms an inertial measurement unit (IMU) that provides quick, accurate position and orientation determination with a low amount of drift over time [117–121].”
BackgroundAn Ultra-Low Power ECG Acquisition and Monitoring ASIC System for WBAN Applications
Liu, X., Zheng, Y., Phyu, M. W., et al. (2012) · IEEE Journal on Emerging and Selected Topics in Circuits and Systems · doi:10.1109/jetcas.2012.2187707 · Cited by 69 · see citing works
“Benefiting from rapid technology advances in wireless communication, signal processing, biomedical sensing, and integrated circuits, the WBAN technology is able to develop miniature, lightweight, ultra-low power physiological healthcare surveillance and monitoring devices, for the improvement of human lives [1]–[6].”
BackgroundSmart Textile-Based Wearable Biomedical Systems: A Transition Plan for Research to Reality
Park, S., & Jayaraman, S. (2009) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2009.2025817 · Cited by 69 · see citing works
Point-of-care biosensor system
Vasan, A. S. S. (2012) · Frontiers in Bioscience-Scholar · doi:10.2741/s357 · Cited by 70 · see citing works
“constitute a new approach to address the issue of managing and monitoring the health of patients suffering from chronic diseases, elderly people, and postoperative rehabilitation patients by performing tasks that are traditionally performed using laboratory testing [27–28].”
BackgroundGochoo, M., Tahir, S. B. U. D., Jalal, A., & Kim, K. (2021) · IEEE Access · doi:10.1109/access.2021.3078513 · Cited by 64 · see citing works
“…advancements in an ever wider range of body-worn sensors are facilitating greater understanding of complex human patterns via the fusion of sensors like accelerometers, gyroscopes, and magnetometers which together extract vital information on human body movements in 3-dimensional space [15], [16].”
BackgroundAn Automated Classification of Pathological Gait Using Unobtrusive Sensing Technology
Dolatabadi, E., Taati, B., & Mihailidis, A. (2017) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2017.2736939 · Cited by 64 · see citing works
Sherrill, D. M., Moy, M. L., Reilly, J. J., & Bonato, P. (2005) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-2-16 · Cited by 62 · see citing works
“As wearable systems that include accelerometers and other inertial sensors have become readily available [1], the need has grown for tools such as we have proposed that facilitate the systematic design of classifiers to identify motor activities.”
Self-citationJavaid, M., Haleem, A., Singh, R. P., et al. (2022) · Biomedical Technology · doi:10.1016/j.bmt.2022.11.004 · Cited by 60 · see citing works
Park, S., Chung, K., & Jayaraman, S. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-418662-0.00001-5 · Cited by 65 · see citing works
Multi-Functional Soft Strain Sensors for Wearable Physiological Monitoring
Hughes, J., & Fumiya Iida, A. (2018) · Sensors · doi:10.3390/s18113822 · Cited by 57 · see citing works
“The monitoring of physiological signals such as heart rate, respiration rate, and muscle behavior is an area in which wearable sensors can make considerable impact [3].”
BackgroundWearable Chemosensors: A Review of Recent Progress
Qian, R., & Long, Y. (2017) · ChemistryOpen · doi:10.1002/open.201700159 · Cited by 57 · see citing works
Patchable micro/nanodevices interacting with skin
Bai, W., Kuang, T., Chitrakar, C., Yang, R., Li, S., Zhu, D., & Chang, L. (2018) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2018.09.035 · Cited by 56 · see citing works
Mangaroska, K., Martínez-Maldonado, R., Vesin, B., & Gašević, D. (2021) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12542 · Cited by 52 · see citing works
“This also suggests the need for more research focused on affective wear-ables (Picard & Healey, 1997) that are flexible, easy to manipulate, and painless (Bonato, 2003; Olguín Olguín, 2011; Poh et al., 2010).”
BackgroundIn-Ear Accelerometer-Based Sensor for Gait Classification
Burgos, C. P., Gartner, L., Ballester, M. Á. G., et al. (2020) · IEEE Sensors Journal · doi:10.1109/jsen.2020.3002589 · Cited by 55 · see citing works
“Additionally, their widespread adoption has broken down the cost-prohibitive barriers that existed in the past [4], [5], [14], [15], [21], [22].”
BackgroundRobles, Y. D. L. F., Ricoy-Cano, A. J., Albín-Rodríguez, A.-P., Ruiz, J. L. L., & Espinilla, M. (2022) · Sensors · doi:10.3390/s22228599 · Cited by 59 · see citing works
“We point to the review and the special issue headed by Bonato in 2003 [69] as especially representative of the first period: it consisted of five studies, where engineering advances for the design and medical applications of non-intrusive wearable systems that allow doctors to monitor people for long periods were alre…”
BackgroundShin, J. H., Hwang, S. H., Chang, M. H., & Park, K. S. (2011) · Physiological Measurement · doi:10.1088/0967-3334/32/8/015 · Cited by 55 · see citing works
A Review on Human Healthcare Internet of Things: A Technical Perspective
Karthick, G. S., & Pankajavalli, P. B. (2020) · SN Computer Science · doi:10.1007/s42979-020-00205-z · Cited by 53 · see citing works
“A low powered and wearable system for GSR monitoring is developed and it can be worn for a longer period of time to disclose psychophysiological conditions [140, 141].”
BackgroundRicci, L., Formica, D., Sparaci, L., Lasorsa, F. R., Taffoni, F., Tamilia, E., & Guglielmelli, E. (2014) · Sensors · doi:10.3390/s140101057 · Cited by 48 · see citing works
“Among the plethora of choices, wearable technologies have the potential to meet the requirements for this specific application, as reported in [12,13].”
BackgroundFoot Plantar Pressure Measurement System Using Highly Sensitive Crack-Based Sensor
Park, J., Kim, M., Hong, I., et al. (2019) · Sensors · doi:10.3390/s19245504 · Cited by 48 · see citing works
“Recently, measurement systems for foot plantar pressure are gaining attention in biomedical and sports-related research fields, such as ergonomic footwear design [1], sports performance analysis [2] and injury prevention, improvement in balance control [3], physical therapy, rehabilitation training systems [4–6], and…”
BackgroundAn IoT‐Based Diet Monitoring Healthcare System for Women
Suganyadevi, S., Shamia, D., & Balasamy, K. (2021) · doi:10.1002/9781119792253.ch8 · Cited by 51 · see citing works
Advances in the Application of Technology to Epilepsy: The CIMIT/NIO Epilepsy Innovation Summit
Schachter, S., Guttag, J., Schiff, S., & Schomer, D. (2009) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2009.06.028 · Cited by 47 · see citing works
Sparse Representation of Electrodermal Activity With Knowledge-Driven Dictionaries
Chaspari, T., Tsiartas, A., Duker, L. I. S., Cermak, S. A., & Narayanan, S. S. (2014) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2014.2376960 · Cited by 47 · see citing works
“construction and pattern detection to signal interpretation in the context of internal human state tracking that could lead to individualized assessment and intervention [3], [7].”
BackgroundSuzuki, M., Mitoma, H., & Yoneyama, M. (2017) · Parkinson s Disease · doi:10.1155/2017/6139716 · Cited by 45 · see citing works
Zhang, Y., Hong, C., Ahmed, R., et al. (2017) · Measurement · doi:10.1016/j.measurement.2017.08.024 · Cited by 46 · see citing works
Telemedical Wearable Sensing Platform for Management of Chronic Venous Disorder
Li, R., Nie, B., Zhai, C., Cao, J., Pan, J., Chi, Y., & Pan, T. (2015) · Annals of Biomedical Engineering · doi:10.1007/s10439-015-1498-x · Cited by 46 · see citing works
Recent Developments in Wearable NEMS/MEMS-Based Smart Infrared Sensors for Healthcare Applications
Padha, B., Yadav, I., Dutta, S., & Arya, S. K. (2023) · ACS Applied Electronic Materials · doi:10.1021/acsaelm.3c00860 · Cited by 45 · see citing works
Hossain, M. I., Khaleque, M. A., Ali, M. R., Bacchu, M. S., Hossain, M. S., Shahed, S. M. F., Aly, M. A. S., & Khan, M. Z. H. (2024) · RSC Advances · doi:10.1039/d4ra00034j · Cited by 45 · see citing works
Bluetooth Security in Wearable Computing Applications
Bouhenguel, R., Mahgoub, I., & Ilyas, M. (2008) · International Symposium on High-capacity Optical Networks and Enabling Technologies · doi:10.1109/honet.2008.4810232 · Cited by 43 · see citing works
“Use an antivirus software on Bluetooth-enabled [4] P. Bonato (2003) "Wearable Sensors/Systems and hosts as it is a good practice.”
MethodWhat is the most effective type of audio-biofeedback for postural motor learning?
Dozza, M., Chiari, L., Peterka, R. J., et al. (2011) · Gait & Posture · doi:10.1016/j.gaitpost.2011.05.016 · Cited by 42 · see citing works
“However, in the last few years, the interest on biofeedback systems to enhance postural stability has been renewed, partially due to recent advances in technology [5].”
BackgroundSen-Gupta, E., Wright, D. E., Caccese, J. W., Wright, J. A., Jr., Jortberg, E., Bhatkar, V. V., Ceruolo, M., Ghaffari, R., Clason, D. L., Maynard, J., et al. (2019) · Digital Biomarkers · doi:10.1159/000493642 · Cited by 42 · see citing works
Toothbrushing Region Detection Using Three-Axis Accelerometer and Magnetic Sensor
Lee, Y.-J., Lee, P.-J., Kim, K.-S., et al. (2011) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2011.2181369 · Cited by 41 · see citing works
“Based on these trends, healthcare technologies are now evolving to reduce long-term healthcare costs and improve quality of life [2].”
BackgroundMotor recovery monitoring using acceleration measurements in post acute stroke patients
Gubbi, J., Rao, A. S., Fang, K., Yan, B., & Palaniswami, M. S. (2013) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-12-33 · Cited by 40 · see citing works
“In an editorial overview about wearable systems by Bonato [6] published in 2003, he emphasizes the impact of technological breakthrough in sensors and sensor networks on biomedical engineering.”
BackgroundApplication of a Full Body Inertial Measurement System in Dressage Riding
Eckardt, F., Münz, A., & Witte, K. (2014) · Journal of Equine Veterinary Science · doi:10.1016/j.jevs.2014.09.009 · Cited by 40 · see citing works
“The steady development of microelectromechanical systems and inertial measurement units (IMUs) results in decreasing costs, enhanced performance, and portability [24].”
BackgroundA Low-Power High-Data-Transmission Multi-Lead ECG Acquisition Sensor System
Wang, L.-H., Zhang, W., Guan, M.-H., Jiang, S.-Y., Fan, M., Abu, P. A. R., Chen, C.-A., & Chen, S. (2019) · Sensors · doi:10.3390/s19224996 · Cited by 40 · see citing works
“Since its introduction in the 1960s by the Massachusetts Institute of Technology Media Lab, wearable technology has received much attention and has become a hot topic of research [4].”
BackgroundMeltzer, B., Reichenbach, C. S., Braiman, C., Schiff, N. D., Hudspeth, A. J., & Reichenbach, T. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00436 · Cited by 39 · see citing works
“Because such clinical applications are likely to employ wearable EEG systems with few channels, we also explored how reliable information on music cognition could be obtained from only a few electrodes (Bonato, 2003; Casson et al., 2008).”
BackgroundHome geriatric physiological measurements
TAMURA, T. (2012) · Physiological Measurement · doi:10.1088/0967-3334/33/10/r47 · Cited by 38 · see citing works
“Recent advances in wearable sensor technology are reviewed in Bonato (2003), Rutherford (2010).”
BackgroundThe Application of a Piezo-Resistive Cardiorespiratory Sensor System in an Automobile Safety Belt
Hamdani, S. T. A., & Fernando, A. (2015) · Sensors · doi:10.3390/s150407742 · Cited by 39 · see citing works
“The increased interest of researchers and industrialists in the field of wearable sensors has caused the work done in this area to gain a lot of importance in the last few decades [1].”
BackgroundWireless telemedicine and m-health: technologies, applications and research issues
Xiao, Y., Takahashi, D., Liu, J., Deng, H., & Zhang, J. (2011) · International Journal of Sensor Networks · doi:10.1504/ijsnet.2011.042770 · Cited by 38 · see citing works
“The Georgia Tech Wearable Motherboard is a cloth which captures a patient’s heart rate, temperature, motion, position and barrier penetration (Bonato, 2003).”
BackgroundMethodInfluentialFalls event detection using triaxial accelerometry and barometric pressure measurement
Bianchi, F., Redmond, S. J., Narayanan, M. R., et al. (2009) · doi:10.1109/iembs.2009.5334922 · Cited by 38 · see citing works
“wearable devices for clinical applications [4].”
Kinematic Analysis of Human Gait Based on Wearable Sensor System for Gait Rehabilitation
Chen, W., Xu, Y., Wang, J., & Zhang, J. (2016) · Journal of Medical and Biological Engineering · doi:10.1007/s40846-016-0179-z · Cited by 38 · see citing works
- Authors
- Bonato, P.
- Affiliations
- Harvard University (US)
- Corresponding author
- Bonato, P.
- ORCID
- Bonato, P.
- Venue
- IEEE Engineering in Medicine and Biology Magazine
- Published
- 2003-05
- Volume
- 22
- Issue
- 3
- Pages
- 18-20
- ISSN
- 0739-5175 (ISSN-L)
- OpenAlex
- W2002577311
- Cited by
- 382
- References
- 0
- Citations by year
- 2026: 3 · 2025: 15 · 2024: 11 · 2023: 11 · 2022: 18 · 2021: 24 · 2020: 20 · 2019: 24 · 2018: 20 · 2017: 25 · 2016: 22 · 2015: 22 · 2014: 24 · 2013: 16 · 2012: 19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Engineering in Medicine and Biology Magazine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Fifth Framework Programme
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Keywords
- wearable sensors, wearable systems, biomedical engineering, health monitoring, remote patient monitoring
- MeSH terms
- Biomedical Engineering, Clothing, Electronics, Equipment Design, Humans, Ergonomics, Miniaturization, Transducers, Information Storage and Retrieval, Monitoring, Ambulatory
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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.
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