Abstract
Wearable devices offer a promise of immense impact on worldwide global health by offering the potential for non-invasive, constantly vigilant, and low-cost monitoring of individual condition and fundamental advances in guiding healthcare. The urgency of this objective for its individual and societal benefits will attract an expanding community of researchers from backgrounds in nearly every field of computing. This article describes the unprecedented benefits and opportunities for computing research in wearable devices and the multidisciplinary challenges that have not been encountered individually or combined together in previous research. This article is focused on providing guidance to the new community of healthcare in computing researchers who will both create a new field and forge transformative solutions for healthcare delivery to a worldwide population.
- Paddy M. Barrett, Ravi Komatiredd, Sharon Haaser, Sarah Topol, Judith Sheard, Jackie Encinas, Angela J. Fought, and Eric J. Topol. 2013. Comparison of 24-hour Holter monitoring with 14-day novel adhesive patch electrocardiographic monitoring. American Journal of Medicine 127, 1 (2013), 95.e11--95.e9.5e17.Google Scholar
- Helmut Baumgartner, Judy Hung, Javier Bermejo, John B. Chambers, Thor Edvardsen, Steven Goldstein, Patrizio Lancellotti, Melissa LeFevre, Fletcher Miller, and Catherine M. Otto. 2017. Recommendations on the echocardiographic assessment of aortic valve stenosis: A focused update from the European Association of Cardiovascular Imaging and the American Society of Echocardiography. European Heart Journal: Cardiovascular Imaging 18, 3 (2017), 254--275Google Scholar
- J. M. Bland and D. G. Altman. 1986. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1 (8476), 307--310.Google Scholar
Cross Ref
- J. M. Bland and D. G. Altman. 1999. Measuring agreement in method comparison studies. Statistical Methods in Medical Research 8 (1999), 135--160.Google Scholar
Cross Ref
- Maxime Cannesson and Aman Mahajan. 2017. Anesthesiology and new models of perioperative care: What will help move the needle? Anesthesia 8 Analgesia 124, 5 (2017), 1392--1393.Google Scholar
- I. G. Cohen and M. M. Mello. 2018. HIPAA and protecting health information in the 21st century. Journal of the American Medical Association 320, 3 (2018), 231--232. DOI:10.1001/jama.2018.5630Google Scholar
- Adnan Darwiche. 2018. Human-level intelligence or animal-like abilities? Communications of the ACM 61, 10 (2018), 56--67. DOI:https://doi.org/10.1145/3271625Google Scholar
Digital Library
- T. J. Daskivich, J. Houman, M. Lopez, M. Luu, P. Fleshner, K. Zaghiyan, S. Cunneen et al. 2019. Association of wearable activity monitors with assessment of daily ambulation and length of stay among patients undergoing major surgery. Journal of the American Medical Association Network Open 2, 2 (2019), e187673.Google Scholar
- Arash Gharehbaghi, Per Ask, Eva Nylander, Birgitta Janerot-Sjoberg, Inger Ekman, Maria Linden, and Ankica Babic. 2015. A hybrid model for diagnosing sever [sic] aortic stenosis in asymptomatic patients using phonocardiogram. In World Congress on Medical Physics and Biomedical Engineering, D. A. Jaffray (Ed.). Springer International, Cham, Switzerland, 7--12.Google Scholar
- L. O. Gostin, S. F. Halabi, and K. Wilson. 2018. Health data and privacy in the digital era. Journal of the American Medical Association 320, 3 (2018), 233--234. DOI:10.1001/jama.2018.8374Google Scholar
Cross Ref
- iRhythm System. 2019. The Flexible, Patient-Friendly, Accurate Cardiac Monitor. Retrieved July 5, 2019 from https://www.irhythmtech.com/professionals/why-zio.Google Scholar
- S. Kang, R. Doroshow, J. McConnaughey, and R. Shekhar. 2017. Automated identification of innocent Still's murmur in children. IEEE Transactions on Biomedical Engineering 64, 6 (2017), 1326--1334.Google Scholar
- Thomas A. Lasko, Jui G. Bhagwat, Kelly H. Zou, and Lucila Ohno-Machado. 2005. The use of receiver operating characteristic curves in biomedical informatics. Journal of Biomedical Informatics 38, 5 (2005), 404--415.Google Scholar
Digital Library
- Andrew Owen and Michael Y. Henein. 2011. Challenges in the management of severe asymptomatic aortic stenosis. European Journal of Cardio-Thoracic Surgery 40, 4 (2011), 848--850.Google Scholar
- PhysioNet. 2019. Computed Tomography Images for Intracranial Hemorrhage Detection and Segmentation. Retrieved December 25, 2019 from https://physionet.org/physiobank/database/#cv.Google Scholar
- Kanav Saraf, Christopher Inhwan Baek, Michael H. Wasko, Xu Zhang, Yi Zheng, Per H. Borgstrom, Aman Mahajan, and William J. Kaiser. 2019. In Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics (BHI’19).Google Scholar
- B. M. Spiegel, M. Kaneshiro, M. M. Russell, A. Lin, A. Patel, V. Tashjian, V. Zegarski, et al. 2014. Validation of an acoustic gastrointestinal surveillance biosensor for postoperative ileus. Journal of Gastrointestinal Surgery 18, 10 (2014), 1795--1803.Google Scholar
- S. R. Steinhubl, J. Waalen, A. M. Edwards, L. M. Ariniello, R. R. Mehta, G. S. Ebner, C. Carter, et al. 2018. Effect of a home-based wearable continuous ECG monitoring patch on detection of undiagnosed atrial fibrillation: The mSToPS randomized clinical trial. Journal of the American Medical Association 320, 2 (2018), 146--155. DOI:10.1001/jama.2018.8102Google Scholar
- U.S. Department of Health and Human Services. 1996. Health Insurance Portability and Accountability Act of 1996. Retrieved May 20, 2019 from https://aspe.hhs.gov/report/health-insurance-portability-and-accountability-act-1996.Google Scholar
- U.S. Food and Drug Administration. 2018a. Cardiac Performance System. FDA 510(k). Retrieved June 8, 2018 from https://www.accessdata.fda.gov/cdrh_docs/pdf17/K173156.pdf.Google Scholar
- U.S. Food and Drug Administration. 2018b. SEM Scanner System. Retrieved December 20, 2018 from https://www.accessdata.fda.gov/cdrh_docs/pdf17/DEN170021.pdf.Google Scholar
- U.S. Food and Drug Administration. 2019. Apple Watch FDA 510(k). Retrieved June 1, 2019 from https://www.accessdata.fda.gov/cdrh_docs/pdf18/DEN180044.pdf.Google Scholar
- Frank Wang, Yeung Lam, Alireza Mehrnia, Barbara Bates-Jensen, Majid Sarrafzadeh, and William J. Kaiser. 2010. A wireless biomedical instrument for evidence-based tissue wound characterization. In Proceedings of Wireless Health 2010 (WH’10). ACM, New York, NY, 222--223.Google Scholar
- James Y. Xu, William J. Kaiser, and Greg J. Pottie. 2013. Enabling large scale ground-truth acquisition and system evaluation in wireless health. IEEE Transactions on Biomedical Engineering 60, 1 (2013), 174--178.Google Scholar
Cross Ref
- James Y. Xu, Yuwen Sun, Zhao Wang, William J. Kaiser, and Greg J. Pottie. 2011. Context guided and personalized activity classification system. In Proceedings of the 2nd Conference on Wireless Health (WH’11). ACM, New York, NY, Article 12, 10 pages. DOI:10.1145/2077546.2077559Google Scholar
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Transformation in Healthcare by Wearable Devices for Diagnostics and Guidance of Treatment
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