The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Respiration rate and volume measurements using wearable strain sensors
Open accessAbstract
Current methods for continuous respiration monitoring such as respiratory inductive or optoelectronic plethysmography are limited to clinical or research settings; most wearable systems reported only measures respiration rate. Here we introduce a wearable sensor capable of simultaneously measuring both respiration rate and volume with high fidelity. Our disposable respiration sensor with a Band-Aid© like formfactor can measure both respiration rate and volume by simply measuring the local strain of the ribcage and abdomen during breathing. We demonstrate that both metrics are highly correlated to measurements from a medical grade continuous spirometer on participants at rest. Additionally, we also show that the system is capable of detecting respiration under various ambulatory conditions. Because these low-powered piezo-resistive sensors can be integrated with wireless Bluetooth units, they can be useful in monitoring patients with chronic respiratory diseases in everyday settings.
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STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965
Miller, M. R., Hankinson, J., Brusasco, V., Burgos, F., Casaburi, R., Coates, A., Crapo, R., Enright, P., van der Grinten, C. P. M., Gustafsson, P., et al. (2005) · European Respiratory Journal · doi:10.1183/09031936.05.00034805 · Cited by 15,627
A concordance correlation coefficient to evaluate reproducibility.
Lin, L. I.-K. (1989) · Biometrics · doi:10.2307/2532051 · Cited by 8,785
Statistical methods for assessing agreement between two methods of clinical measurement
Bland, J. M., & Altman, D. G. (2010) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2009.10.001 · Cited by 5,220
Stretchable, Skin-Mountable, and Wearable Strain Sensors and Their Potential Applications: A Review
Amjadi, M., Kyung, K., Park, I., & Sitti, M. (2016) · Advanced Functional Materials · doi:10.1002/adfm.201504755 · Cited by 3,202
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
Collop, N. A., Anderson, W. M., Boehlecke, B., Claman, D., Goldberg, R., Gottlieb, D. J., Hudgel, D., Sateia, M., Schwab, R., & Portable Monitoring Task Force of the American Academy of Sleep Medicine (2007) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.27032 · Cited by 1,550
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
Wearable and Highly Sensitive Graphene Strain Sensors for Human Motion Monitoring
Wang, Y., Wang, L., Yang, T., Li, X., Zang, X., Zhu, M., Wang, K., Wu, D., & Zhu, H. (2014) · Advanced Functional Materials · doi:10.1002/adfm.201400379 · Cited by 1,085
Collop, N. A., Anderson, W. M., Boehlecke, B. A., Claman, D. M., Goldberg, R., Gottlieb, D. J., Hudgel, D. W., Sateia, M. J., & Schwab, R. (2007) · PubMed Central · Cited by 1,082
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The Importance of Respiratory Rate Monitoring: From Healthcare to Sport and Exercise
Nicolò, A., Massaroni, C., Schena, E., & Sacchetti, M. (2020) · Sensors · doi:10.3390/s20216396 · Cited by 440
Seshadri, D. R., Davies, E. V., Harlow, E. R., Hsu, J. J., Knighton, S. C., Walker, T. A., Voos, J. E., & Drummond, C. K. (2020) · Frontiers in Digital Health · doi:10.3389/fdgth.2020.00008 · Cited by 298
Wearable Sensing and Telehealth Technology with Potential Applications in the Coronavirus Pandemic
Ding, X., Clifton, D., Ji, N., Lovell, N. H., Bonato, P., Chen, W., Yu, X., Xue, Z., Xiang, T., Long, X., et al. (2021) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2020.2992838 · Cited by 281
Smart Bandage With Wireless Strain and Temperature Sensors and Batteryless NFC Tag
Escobedo, P., Bhattacharjee, M., Nikbakhtnasrabadi, F., & Dahiya, R. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3048282 · Cited by 209
Recent advances in noninvasive flexible and wearable wireless biosensors
Salim, A., & Lim, S. (2019) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2019.111422 · Cited by 153
Metadata
- Authors
- Chu, M., Nguyen, T., Pandey, V., Zhou, Y., Pham, H. N., Bar-Yoseph, R., Radom-Aizik, S., Jain, R., Cooper, D. M., & Khine, M.
- Venue
- npj Digital Medicine
- Published
- 2019-02-13
- Volume
- 2
- Issue
- 1
- Pages
- 8-8
- ISSN
- 2398-6352 (ISSN-L)
- OpenAlex
- W2912176114
- Cited by
- 403
- References
- 36
- FWCI
- 15.09
- Type
- journal article
- Language
- en
- Open access
- gold
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