The Opportunity and Obstacles for Smartwatches and Wearable Sensors
Abstract
In September 2017, the U.S. Food and Drug Administration (FDA) made a striking announcement. Transforming its current regulatory practice for approving and certifying medical devices-the FDA announced a bold new plan, the Digital Health Software Precertification (Precert) Program, to offer an entirely new regulatory model to assess smartphone apps, wearables, sensors, and software. This transformation and medicalization of the consumer health market present both opportunities and obstacles, by opening up large markets for health monitoring and diagnosis using inexpensive mass-market, off-the-shelf devices. It also raises challenges, both related to privacy and effective uses of the devices to promote health. The Fitbit and Apple Watch are examples.
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Many studies have focused on novel technologies, presenting prototypes, or investigating feasibility and acceptance of a wearable device in a specific setting.
“Many studies have focused on novel technologies, presenting prototypes, or investigating the feasibility and acceptance of a wearable device in a specific setting [3,27].”
From The impact of wearable technologies in health research: scoping review (2022) · cites this paper as [27]
These vital signs and device types seem to become the standard in wearable research.
“These vital signs and device types seem to become the standard in wearable research [3,27,31,224,225].”
From The impact of wearable technologies in health research: scoping review (2022) · cites this paper as [27]
Similar to other reviews, most devices were wrist-worn fitness trackers and accelerometers, and most were from Fitbit, measuring PA, HR, and sleep.
“Similar to other reviews, most devices were wrist-worn fitness trackers and accelerometers, and most of them are from the company Fitbit, measuring PA, HR, and sleep [3,27,31,224,225].”
From The impact of wearable technologies in health research: scoping review (2022) · cites this paper as [27]
Cites
Accuracy of Fitbit Devices: Systematic Review and Narrative Syntheses of Quantitative Data
Feehan, L. M., Geldman, J., Sayre, E. C., Park, C., Ezzat, A. M., Yoo, J. Y., Hamilton, C. B., & Li, L. C. (2018) · JMIR mHealth and uHealth · doi:10.2196/10527 · Cited by 616 · see citing works
Cheatham, S. W., Stull, K. R., Fantigrassi, M., & Motel, I. (2018) · The Journal of Sports Medicine and Physical Fitness · doi:10.23736/s0022-4707.17.07437-0 · Cited by 109 · see citing works
Wearables for Promoting Physical Activity
Strath, S. J., & Rowley, T. W. (2017) · Clinical Chemistry · doi:10.1373/clinchem.2017.272369 · Cited by 74 · see citing works
Haddad, A. M. (1998) · PubMed · Cited by 43 · see citing works
Galloway, C. D., Valys, A. V., Petterson, F. L., Gundotra, V. P., Treiman, D. L., Albert, D. E., Dillon, J. J., Attia, Z. I., & Friedman, P. A. (2018) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(18)30813-1 · Cited by 17 · see citing works
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Sorted by citations
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
A transformer-based deep neural network for arrhythmia detection using continuous ECG signals
Hu, R. M., Chen, J., & Zhou, L. (2022) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2022.105325 · Cited by 229 · see citing works
Huang, J.-D., Wang, J., Ramsey, E., Leavey, G., Chico, T., & Condell, J. V. (2022) · Sensors · doi:10.3390/s22208002 · Cited by 191 · see citing works
The Age of Artificial Intelligence: Use of Digital Technology in Clinical Nutrition
Limketkai, B. N., Mauldin, K., Manitius, N., Jalilian, L., & Salonen, B. R. (2021) · Current Surgery Reports · doi:10.1007/s40137-021-00297-3 · Cited by 128 · see citing works
Multichannel Electrocardiograms Obtained by a Smartwatch for the Diagnosis of ST-Segment Changes
Spaccarotella, C., Polimeni, A., Migliarino, S., Principe, E., Curcio, A., Mongiardo, A., Sorrentino, S., Rosa, S. D., & Indolfi, C. (2020) · JAMA Cardiology · doi:10.1001/jamacardio.2020.3994 · Cited by 130 · see citing works
Cognitive-Behavioral Therapy in the Digital Age: Presidential Address
Wilhelm, S., Weingarden, H. M., Ladis, I., Braddick, V., Shin, J. Y., & Jacobson, N. C. (2019) · Behavior Therapy · doi:10.1016/j.beth.2019.08.001 · Cited by 122 · see citing works
Samol, A., Bischof, K., Luani, B., Pascut, D., Wiemer, M., & Kaese, S. (2019) · Sensors · doi:10.3390/s19204377 · Cited by 112 · see citing works
The Use of Wearable ECG Devices in the Clinical Setting: A Review
Kamga, P., Mostafa, R., & Zafar, S. (2022) · Current Emergency and Hospital Medicine Reports · doi:10.1007/s40138-022-00248-x · Cited by 94 · see citing works
Nazarian, S., Lam, K., Darzi, A. W., & Ashrafian, H. (2021) · Journal of Medical Internet Research · doi:10.2196/28974 · Cited by 93 · see citing works
Mizuno, A., Changolkar, S., & Patel, M. S. (2020) · Annual Review of Medicine · doi:10.1146/annurev-med-050919-031534 · Cited by 80 · see citing works
Wearable Health Devices for Diagnosis Support: Evolution and Future Tendencies
Escobar-Linero, E., Muñoz-Saavedra, L., Luna-Perejón, F., Sevillano, J. L., & Domínguez-Morales, M. (2023) · Sensors · doi:10.3390/s23031678 · Cited by 61 · see citing works
Köhler, C., Bartschke, A., Fürstenau, D., Schaaf, T., & Salgado, E. (2024) · Journal of Medical Internet Research · doi:10.2196/58936 · Cited by 68 · see citing works
Samol, A., Bischof, K., Luani, B., Pascut, D., Wiemer, M., & Kaese, S. (2019) · Sensors · doi:10.3390/s19132894 · Cited by 54 · see citing works
Bahru, R., Hamzah, A. A., & Mohamed, M. A. (2020) · International Journal of Energy Research · doi:10.1002/er.6031 · Cited by 48 · see citing works
Huhn, S., Matzke, I., Koch, M., Gunga, H., Maggioni, M. A., Sié, A., Boudo, V., Ouédraogo, W. A., Compaoré, G., Bunker, A., et al. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.972177 · Cited by 39 · see citing works
Ding, W., Abdel‐Basset, M., Eldrandaly, K. A., Abdel‐Fatah, L., & de Albuquerque, V. H. C. (2020) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2020.3000440 · Cited by 39 · see citing works
Papalamprakopoulou, Z., Stavropoulos, D. N., Moustakidis, S., Avgerinos, D. V., Efremidis, M., & Kampaktsis, P. Ν. (2024) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2024.1432876 · Cited by 37 · see citing works
Emerging intelligent wearable devices for cardiovascular health monitoring
Wang, Y., Zou, Y., & Li, Z. (2024) · Nano Today · doi:10.1016/j.nantod.2024.102544 · Cited by 38 · see citing works
Smart wearables addressing gait disorders: A review
Biswas, N., Chakrabarti, S., Jones, L., & Ashili, S. (2023) · Materials Today Communications · doi:10.1016/j.mtcomm.2023.106250 · Cited by 29 · see citing works
Qiu, J., Yan, X., Wang, W. W., Wei, W., & Fang, K. (2021) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2021.3137334 · Cited by 28 · see citing works
Prabakaran, A., & Rufus, E. (2021) · Sensor Review · doi:10.1108/sr-05-2021-0150 · Cited by 26 · see citing works
Shih, P., Prokopovich, K., Degeling, C., Street, J., & Carter, S. M. (2022) · Social Science & Medicine · doi:10.1016/j.socscimed.2022.114954 · Cited by 25 · see citing works
Clinical Perspective on Internet of Things Applications for Care of the Elderly
Tun, S. Y. Y., Madanian, S., & Parry, D. (2020) · Electronics · doi:10.3390/electronics9111925 · Cited by 23 · see citing works
Smart devices to measure and monitor QT intervals
Hoek, L. J., Brouwer, J. L. P., Voors, A. A., & Maass, A. H. (2023) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2023.1172666 · Cited by 18 · see citing works
Examining the design, manufacturing and analytics of smart wearables
López, X., Afrin, K., & Nepal, B. P. (2020) · Medical Devices & Sensors · doi:10.1002/mds3.10087 · Cited by 19 · see citing works
Yen, H., & Huang, W. (2021) · Journal of Nursing Scholarship · doi:10.1111/jnu.12740 · Cited by 17 · see citing works
Digital Solutions to Diagnose and Manage Postbariatric Hypoglycemia
Schönenberger, K. A., Cossu, L., Prendin, F., Cappon, G., Wu, J., Fuchs, K. L., Mayer, S., Herzig, D., Facchinetti, A., & Bally, L. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.855223 · Cited by 16 · see citing works
Marinescu, R., Ionescu, O. N., Pachiu, C. I., Dinescu, M. A., Muller, R., & Şuchea, M. P. (2025) · Micromachines · doi:10.3390/mi16101182 · Cited by 15 · see citing works
Deep Learning in the Recognition of Activities of Daily Living Using Smartwatch Data
Cavalcante, A. F., Kunst, V. H. D. L., Chaves, T., de Souza, J. D. T., Ribeiro, I. M., Quintino, J. P., da Silva, F. Q. B., Santos, A. L. M., Teichrieb, V., & Gama, A. E. F. D. (2023) · Sensors · doi:10.3390/s23177493 · Cited by 15 · see citing works
Accuracy of Wearable Devices for Measuring Heart Rate During Conventional and Nordic Walking
Baek, S., Ha, Y., & Park, H. (2020) · PM&R · doi:10.1002/pmrj.12424 · Cited by 14 · see citing works
Textile-integrated polymer optical fibers for healthcare and medical applications
Yamada, Y. (2020) · Biomedical Physics & Engineering Express · doi:10.1088/2057-1976/abbf5f · Cited by 14 · see citing works
van Es, V. V., de Lathauwer, I. D., Kemps, H., Handjaras, G., & Betta, M. (2024) · Bioengineering · doi:10.3390/bioengineering11101045 · Cited by 12 · see citing works
Rosenblatt, R. E., Yeh, J., & Gaglio, P. J. (2020) · Clinics in Liver Disease · doi:10.1016/j.cld.2020.01.007 · Cited by 11 · see citing works
Challenges of Wearable Biosensors and Ways to Overcome Them
Tarasov, S. E., Plekhanova, Y. V., Reshetilov, A., Melenkov, S., & Saltanov, I. (2026) · Biosensors · doi:10.3390/bios16030159 · Cited by 10 · see citing works
Samol, A., Bischof, K., Luani, B., Pascut, D., Wiemer, M., & Kaese, S. (2019) · Journal of Visualized Experiments · doi:10.3791/60715 · Cited by 9 · see citing works
Point-of-care testing, your cardiologist, and affairs of the heart
Dunlap, D. R., Ding, E., Abramo, K., Wang, Z., Lilly, C. M., Hafer, N., Buchholz, B., & McManus, D. D. (2021) · Cardiovascular Digital Health Journal · doi:10.1016/j.cvdhj.2021.10.004 · Cited by 9 · see citing works
Wearable devices: monitoring the future?
Ioannidis, D. C., Kapasouri, E. M., & Vassiliou, V. S. (2019) · Oxford Medical Case Reports · doi:10.1093/omcr/omz143 · Cited by 9 · see citing works
A smart devices based secondary prevention program for cerebrovascular disease patients
Motolese, F., Capone, F., Magliozzi, A., Vico, C., Iaccarino, G., Falato, E., Pilato, F., & Lazzaro, V. D. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1176744 · Cited by 9 · see citing works
Towett, G., Snead, R. S., Marczika, J., Ambalavanan, R., Mbogori-Kairichi, M., & Malioukis, A. (2025) · Digital Health · doi:10.1177/20552076251406654 · Cited by 10 · see citing works
Intelligent algorithms powered smart devices for atrial fibrillation discrimination
Xie, L., Wang, L., Mo, D., Zhang, Z., & Liang, M. (2024) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2024.107480 · Cited by 7 · see citing works
Regulation of Digital Health Technologies in the European Union
Yu, H. (2022) · Cambridge University Press eBooks · doi:10.1017/9781108975452.009 · Cited by 5 · see citing works
Ethically Informed Software Process for Smart Health Home
Zhang, X., Pike, M., Mustafa, N., & Brusic, V. (2022) · 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS) · doi:10.1109/cbms55023.2022.00040 · Cited by 4 · see citing works
Khushhal, A. A., Abdelaal, A. A. M., Alsegame, M. M., & Alsaedi, A. (2025) · Journal of Multidisciplinary Healthcare · doi:10.2147/jmdh.s507504 · Cited by 4 · see citing works
Lee, S., Kim, G. Y., Seo, E. J., & Son, Y. (2023) · Iranian Journal of Public Health · doi:10.18502/ijph.v52i1.11668 · Cited by 5 · see citing works
Schmidt, K. A., Penrice, D. D., & Simonetto, D. A. (2022) · Current Hepatology Reports · doi:10.1007/s11901-022-00594-0 · Cited by 4 · see citing works
Smith, T., Lee, J. D., & James, D. A. (2022) · doi:10.1002/9781119654872.ch6 · Cited by 4 · see citing works
Smart Hospital Medical Equipment: Integration into the Enterprise Architecture
Marchenko, R. S., & Borremans, A. D. (2022) · Lecture notes in information systems and organisation · doi:10.1007/978-3-030-94252-6_5 · Cited by 3 · see citing works
Tung, F.-W., & Lai, C.-Y. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-35696-4_40 · Cited by 3 · see citing works
Wilkinson-Stokes, M. (2020) · Australasian Journal of Paramedicine · doi:10.33151/ajp.17.816 · Cited by 3 · see citing works
Prospect of Wearable Ultrasound
Zeng, Y., & Zhou, Q. (2026) · BME Frontiers · doi:10.34133/bmef.0271 · Cited by 3 · see citing works
McChord, J., Theis, C., Fröbel, S., Seitz, A., Sechtem, U. P., Bekeredjian, R., & Ong, P. (2023) · American Heart Journal Plus Cardiology Research and Practice · doi:10.1016/j.ahjo.2023.100295 · Cited by 2 · see citing works
Application of Smart Wearable Devices in Athlete Health Monitoring
Yang, Y., Shi, B., & Huang, X. (2024) · Applied Mathematics and Nonlinear Sciences · doi:10.2478/amns-2024-1436 · Cited by 2 · see citing works
Real‐Time Nail‐Biting Detection on a Smartwatch Using Three CNN Models Pipeline
Alesmaeil, A., & Şehirli, E. (2025) · Computational Intelligence · doi:10.1111/coin.70020 · Cited by 1 · see citing works
Role of Wearable Technology and Fitness Apps in Obesity and Diabetes
Sherwani, S. I., & Bates, B. R. (2020) · Advances in information security, privacy, and ethics book series · doi:10.4018/978-1-7998-3487-8.ch002 · Cited by 1 · see citing works
Study on Mobile Apps-based Heart Rate Measurement: Female and Male
Setiawan, A. W. (2021) · International Conference on Vocational Education and Electrical Engineering (ICVEE) · doi:10.1109/icvee54186.2021.9649689 · Cited by 1 · see citing works
Diagnostic and Monitoring of Atrial Fibrillation Using Wearable Devices: A Scoping Review
Santos, R. S., McInnis, M. D. C., & Salinet, J. L. (2022) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-030-70601-2_120 · Cited by 1 · see citing works
Motolese, F., Capone, F., Magliozzi, A., Vico, C., Iaccarino, G., Falato, E., Pilato, F., & Lazzaro, V. D. (2022) · Research Square · doi:10.21203/rs.3.rs-1251620/v1 · Cited by 1 · see citing works
A Human-Machine Interaction Solution for Household Medical Furniture Design
Li, Y., Luo, J., Jing, Q., & Luximon, Y. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-78111-8_18
Role of Wearable Technology and Fitness Apps in Obesity and Diabetes
Sherwani, S. I., & Bates, B. R. (2022) · IGI Global eBooks · doi:10.4018/978-1-6684-6311-6.ch018
The Role of Tele-Health Approaches in Home Nutrition Support
Özyurt, M., & Akçalı, Ç. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-3099-0.ch006
AI-enabled clinically aligned fewer-lead ECG approaches for detecting cardiovascular diseases
Sikandar, T., Hasan, M. T., Azad, A. K. M., Khan, A., & Moni, M. A. (2026) · Artificial Intelligence Review · doi:10.1007/s10462-026-11577-8
- Authors
- Foster, K. R., & Torous, J.
- Affiliations
- University of Pennsylvania (US)
- Harvard University (US)
- Venue
- IEEE Pulse
- Published
- 2019-01
- Volume
- 10
- Issue
- 1
- Pages
- 22-25
- ISSN
- 2154-2287 (ISSN-L)
- 2154-2317
- OpenAlex
- W2921475356
- Cited by
- 62
- References
- 5
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 6 · 2023: 9 · 2022: 15 · 2021: 8 · 2020: 11 · 2019: 5
- FWCI
- 13.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Pulse (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Keywords
- smartwatches, wearable sensors, FDA regulation, medical device regulation, consumer health technology, health monitoring, patient privacy, mobile health apps, Apple Watch, Fitbit
- MeSH terms
- Smartphone, Fitness Trackers, Health Promotion, Humans, United States, United States Food and Drug Administration, Mobile Applications
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