MyWear revolutionizes real-time health monitoring with comparative analysis of machine learning

MyWear revolutionizes real-time health monitoring with comparative analysis of machine learning

Abstract This paper facilitates proactive health management, advanced patient care, and early identification of possible health hazards by using MyWear. It is a wearable T-shirt that continuously monitors and predicts physiological parameters such as stress and heart rate fluctuations. In particular...

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Bibliographic Details
Main Authors: Krishna Prakash, Musam Naga Harshitha, Golla Naga Lakshmi, Pallem Moses, Madala Sumanth Chowdary, Shonak Bansal, Mohammad Rashed Iqbal Faruque, K. S. Al-Mugren
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Heart rate variability (HRV)
Stress level detection
Machine learning
K-nearest neighbour (KNN)
Support vector machine (SVM)
Online Access:https://doi.org/10.1038/s41598-025-01860-z
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https://doi.org/10.1038/s41598-025-01860-z

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