A popular software design pattern for creating user interfaces splits the associated computer logic into three interrelated parts: model, view, and controller.
Published in Chapter:
Data Collection Through Wearable Medical Devices for Mobile Health
Copyright: © 2024
|Pages: 7
DOI: 10.4018/979-8-3693-2762-3.ch003
Abstract
In a world where life expectancy is increasing due to advancements in healthcare, the prevention and early diagnosis of sickness signs are becoming increasingly important. Here, the authors describe a wearable health monitoring system (WHMS) that can gather data, digitize it, pair it with a wearable medical device via Bluetooth, and measure a range of physiological indicators in patients, namely those with heart disease. The system's design, specifications, accepted technology, and implementation challenges are all presented and explored, demonstrating how well it supports healthcare. The suggested method collects heart disease patients' physiological parameters and transmits data to cloud services that enable the processing of data for medical analysis, giving patients and physicians safe access within an appropriate architecture. Research is being conducted on machine learning approaches to help preventative efforts and identify relevant illness signs early on so that prompt medical treatment can be initiated.