The DOI matches its Crossref record; 157 of the 157 references it cites were found in a registry or an index.
Smartphone Sensors for Health Monitoring and Diagnosis
Open accessAbstract
Over the past few decades, we have witnessed a dramatic rise in life expectancy owing to significant advances in medical science and technology, medicine as well as increased awareness about nutrition, education, and environmental and personal hygiene. Consequently, the elderly population in many countries are expected to rise rapidly in the coming years. A rapidly rising elderly demographics is expected to adversely affect the socioeconomic systems of many nations in terms of costs associated with their healthcare and wellbeing. In addition, diseases related to the cardiovascular system, eye, respiratory system, skin and mental health are widespread globally. However, most of these diseases can be avoided and/or properly managed through continuous monitoring. In order to enable continuous health monitoring as well as to serve growing healthcare needs; affordable, non-invasive and easy-to-use healthcare solutions are critical. The ever-increasing penetration of smartphones, coupled with embedded sensors and modern communication technologies, make it an attractive technology for enabling continuous and remote monitoring of an individual’s health and wellbeing with negligible additional costs. In this paper, we present a comprehensive review of the state-of-the-art research and developments in smartphone-sensor based healthcare technologies. A discussion on regulatory policies for medical devices and their implications in smartphone-based healthcare systems is presented. Finally, some future research perspectives and concerns regarding smartphone-based healthcare systems are described.
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Stein, D. J., Shoptaw, S. J., Vigo, D. V., Lund, C., Cuijpers, P., Bantjes, J., Sartorius, N., & Maj, M. (2022) · World Psychiatry · doi:10.1002/wps.20998 · Cited by 331
khan, Z. F., & Alotaibi, S. R. (2020) · Journal of Healthcare Engineering · doi:10.1155/2020/8894694 · Cited by 235
Artificial Intelligence in Medical Sensors for Clinical Decisions
Haick, H., & Tang, N. (2021) · ACS Nano · doi:10.1021/acsnano.1c00085 · Cited by 231
Monitoring Methods of Human Body Joints: State-of-the-Art and Research Challenges
Faisal, A. I., Majumder, S., Mondal, T., Cowan, D., Naseh, S., & Deen, M. J. (2019) · Sensors · doi:10.3390/s19112629 · Cited by 187
Self-citationArtificial intelligence promotes the diagnosis and screening of diabetic retinopathy
Huang, X., Wang, H., She, C., Feng, J., Liu, X., Hu, X., Chen, L., & Tao, Y. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.946915 · Cited by 115
Metadata
- Authors
- Majumder, S., & Deen, M. J.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2019-05-09
- Volume
- 19
- Issue
- 9
- Pages
- 2164
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W2943952292
- Cited by
- 435
- References
- 157
- FWCI
- 17.91
- Type
- journal article
- Language
- en
- Open access
- gold
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