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Mobile monitoring with wearable photoplethysmographic biosensors
Abstract
We address both technical and clinical issues of wearable biosensors (WBS). First, design concepts of a WBS are presented, with emphasis on the ring sensor developed by the author's group at MIT. The ring sensor is an ambulatory, telemetric, continuous health-monitoring device. This WBS combines miniaturized data acquisition features with advanced photoplethysmographic (PPG) techniques to acquire data related to the patient's cardiovascular state using a method that is far superior to existing fingertip PPG sensors. In particular, the ring sensor is capable of reliably monitoring a patient's heart rate, oxygen saturation, and heart rate variability. Technical issues, including motion artifact, interference with blood circulation, and battery power issues, are addressed, and effective engineering solutions to alleviate these problems are presented. Second, based on the ring sensor technology the clinical potentials of WBS monitoring are addressed.
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“For example, Asada et al. [22] presented a ring sensor design for measuring blood oxygen saturation (SpO2) and heart rate.”
From A review of wearable sensors and systems with application in rehabilitation (2012) · cites this paper as [22]
In the citing paper
“Worn on the base of the finger (like a ring), it integrated techniques for motion artifact reduction, which were designed to improve measurement accuracy.”
From A review of wearable sensors and systems with application in rehabilitation (2012) · cites this paper as [22]
In the citing paper
“Applications of the ring sensor ranged from the diagnosis of hypertension to the management of congestive heart failure.”
From A review of wearable sensors and systems with application in rehabilitation (2012) · cites this paper as [22]
In the citing paper
“The ring sensor was completely self-contained.”
From A review of wearable sensors and systems with application in rehabilitation (2012) · cites this paper as [22]
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Cites
Hansson, L., Zanchetti, A., Carruthers, S. G., Dahlöf, B., Elmfeldt, D., Julius, S., Ménard, J., Rahn, K. H., Wedel, H., & Westerling, S. (1998) · The Lancet · doi:10.1016/s0140-6736(98)04311-6 · Cited by 5,728
Adaptive noise cancelling: Principles and applications
Widrow, B., Glover, J. R., McCool, J. M., Kaunitz, J., Williams, C. S., Hearn, R. H., Zeidler, J. R., Eugene Dong, Jr., & Goodlin, R. C. (1975) · Proceedings of the IEEE · doi:10.1109/proc.1975.10036 · Cited by 3,939
Staessen, J. A. (1999) · JAMA · doi:10.1001/jama.282.6.539 · Cited by 1,592
Hu, F. B., Sigal, R. J., Rich-Edwards, J. W., Colditz, G. A., Solomon, C. G., Willett, W. C., Speizer, F. E., & Manson, J. E. (1999) · JAMA · doi:10.1001/jama.282.15.1433 · Cited by 914
Economic impact of heart failure in the United States: time for a different approach.
O'Connell, J. B., & Bristow, M. R. (1994) · PubMed · Cited by 659
Prognostic Value of Ambulatory Blood Pressure
Verdecchia, P. (2000) · Hypertension · doi:10.1161/01.hyp.35.3.844 · Cited by 616
Mancia, G., Zanchetti, A., Agebiti-Rosei, E., Benemio, G., De Cesaris, R., Fogari, R., Pessino, A., Porcellati, C., Salvetti, A., & Trimarco, B. (1997) · Circulation · doi:10.1161/01.cir.95.6.1464 · Cited by 596
Massie, B. M., & Shah, N. B. (1997) · American Heart Journal · doi:10.1016/s0002-8703(97)70173-x · Cited by 547
Treatment adherence in chronic disease
Dunbar‐Jacob, J. M., & Mortimer-Stephens, M. (2001) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(01)00457-7 · Cited by 440
Precipitating factors leading to decompensation of heart failure. Traits among urban blacks
Ghali, J. K. (1988) · Archives of Internal Medicine · doi:10.1001/archinte.148.9.2013 · Cited by 414
Research works printed but not linked: 6
- Lictenthal, 1996, Evaluation of signal extraction technology (SET) in preventing false alarms when using pulse oximetry in the recovery room, Anesthesiology, 86, S278
- Guyton, 1996, Textbook of Medical Physiology, 187
- Shaltis, 2001, Artifact resistant, power efficient, high speed modulation design for photo plethysmographic ring sensors, Ann. Biomed. Eng., 29, S
- Kahveci, 2000, A rare complication due to pulse oximetry in intensive care unit, Ann. Med. Sci., 9, 36
- 1999, American Heart Association, Heart and Stroke Statistical Update
- 10.5694/j.1326-5377.2002.tb04590.x · DOI
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Luca, D. C. J., Delaunay, G., Albino, A. M., Muhlenbach, F., Maret, P., Lopez, G. F., & Yamada, I. (2012) · HAL · Cited by 4
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Cranny, A., Beriain, A., Solar, H., Tartarisco, G., & Pioggia, G. (2013) · Springer eBooks · doi:10.1007/978-1-4614-8842-2_3 · Cited by 3
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Fang, B., Sun, F., Liu, H., Liu, C., & Guo, D. (2020) · Springer eBooks · doi:10.1007/978-981-15-5124-6_1 · Cited by 1
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Supporting Self-Reflection in Everyday Life
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Fiber-optic biosensor based on self-mixing interferometry
Määttälä, M., Lauri, J., Kinnunen, M. T., Hast, J. T., & Myllylä, R. A. (2008) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.815269 · Cited by 1
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Patterson, J. A. C. (2013) · Spiral (Imperial College London) · doi:10.25560/11110 · Cited by 1
Metadata
- Authors
- Asada, H. H., Shaltis, P., Reisner, A., Rhee, S., & Hutchinson, R. C.
- Affiliations
- Massachusetts Institute of Technology (US)
- Albion College (US)
- Venue
- IEEE Engineering in Medicine and Biology Magazine
- Published
- 2003-05
- Volume
- 22
- Issue
- 3
- Pages
- 28-40
- ISSN
- 0739-5175 (ISSN-L)
- OpenAlex
- W2019882679
- Cited by
- 466
- References
- 67
- Citations by year
- 2026: 13 · 2025: 10 · 2024: 11 · 2023: 13 · 2022: 13 · 2021: 19 · 2020: 31 · 2019: 22 · 2018: 21 · 2017: 19 · 2016: 24 · 2015: 34 · 2014: 42 · 2013: 18 · 2012: 29
- FWCI
- 11.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Engineering in Medicine and Biology Magazine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Keywords
- wearable biosensors, photoplethysmography, telemetry monitoring, heart rate monitoring, oxygen saturation, heart rate variability, motion artifacts, battery power, cardiovascular monitoring
- MeSH terms
- Cardiovascular Diseases, Chronic Disease, Equipment Design, Fingers, Heart Failure, Heart Rate, Humans, Hypertension, Oxygen Consumption, Biosensing Techniques, Electrocardiography, Ambulatory, Photoplethysmography, Blood Pressure Monitoring, Ambulatory, Monitoring, Ambulatory, Equipment Failure Analysis
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