Department of Global Studies, Sophia University, Chiyoda City, Tokyo, Japan
Mini Review
A Mini Review on Health Level Prediction for Community-Dwelling
Author(s): Hang Won*
The worldwide fast growth of senior populations is placing a significant strain on the healthcare system. The transition to more pro-active and
reasonably priced healthcare could be aided by intelligent methods for ongoing health monitoring. Electrocardiograms, obtained via portable
equipment, have been routinely utilised to track a variety of medical disorders since they are noninvasive and economical. However, developing
appropriate features and prediction models is a difficult challenge due to the dynamic and varied nature of ECG signals. Using single-lead brief
ECG signal data and multiple feature creation, we intend to build an integration projects for one-day-forward wellness prediction in communitydwelling
older individuals... Read More»
DOI:
10.37421/2380-5439.2022.10.100027