fbpx

Personalized Health Monitoring System Using Wearable Devices

By Orisys Academy on 19th January 2024

Problem Statement

Traditional health monitoring systems often lack personalization and real-time insights. Wearable devices have the potential to provide continuous health data, but the challenge lies in creating a system that interprets and presents this data in a personalized and actionable manner.

Abstract

This project aims to develop a personalized health monitoring system utilizing wearable devices. The system will collect real-time health data from wearables, employ AI algorithms to interpret the data, and provide personalized insights. Users will receive actionable recommendations for maintaining or improving their health based on individualized trends and patterns.

Outcome

A personalized health monitoring system that leverages wearable devices to provide real-time insights, empowering users to make informed decisions about their health and well-being.

Reference

Wearable health monitoring system gain a lot of attraction from the wearable health technology community. Among wearable health devices, smart wrist band is one of the branches that the market invested most of money and there exist varies products aiming at different custom target group such as users who have cardiovascular diseases. However, there has few products that can monitoring heart rate continuously with low power consumption and able to detect the abnormal movement of body which may lead to the diagnosis of early Parkinson’s diseases(PD).This project propose a low-power consumption, customized wrist band with small size and pattern matching ability which help to analysis the abnormal behaviour that many early PD patients have, together with a user end program for data transferring, demonstration and further analysis. Results of the wrist band and user end program are tested, verified and compared, which shows that the wrist band is able to detect heart rate, counting steps and detecting abnormal hand movement, and user end program can properly receive the information from the wrist band and present to the user.

  1. D. E. Bloom, E. Cafiero, E. Jane-Llopis, S. Abrahams-Gessel, L. R. Bloom, S. Fathima, A. B. Feigl, T. Gaziano, A. Hamandi, M. Mowafi et al., “The global economic burden of noncommunicable diseases,” Program on the Global Demography of Aging Tech. Rep, 2012.
  2. J. Manyika, M. Chui, J. Bughin, R. Dobbs, P. Bisson, and A. Marrs, “Disruptive technologies: Advances that will transform life business and the global economy,” CA: McKinsey Global Institute San Francisco, vol. 180, 2013.
  3. T. Liang and Y. J. Yuan, “Wearable medical monitoring systems based on wireless networks: A review,” IEEE Sensors Journal, vol. 16, no. 23, pp. 8186-8199, 2016.
  4. A. Pantelopoulos and N. G. Bourbakis, “Prognosis—a wearable health-monitoring system for people at risk: Methodology and modeling,” IEEE Transactions on Information Technology in Biomedicine, vol. 14, no. 3, pp. 613-621, 2010.
  5. E. Hughes, M. Masilela, P. Eddings, A. Rafiq, C. Boanca, and R. Merrell, “Vmote: A wearable wireless health monitoring system,” 2007 9th International Conference on e-Health Networking Application and Services, pp. 330-331, 2007.

    https://ieeexplore.ieee.org/document/9205468/