Enhancing wearable sensor data analysis for patient health monitoring using allied data disparity technique and multi instance ensemble perceptron learning

Enhancing wearable sensor data analysis for patient health monitoring using allied data disparity technique and multi instance ensemble perceptron learning

Abstract Wearable Sensor (WS)-based monitoring systems detect minute patient movements/ demands and abnormalities through periodic sensing and imaging. Sensor data observed over different intervals is not constant or available based on operating sequences. Due to variations in data sequences, the an...

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Bibliographic Details
Main Authors: Mohd Anjum, Waseem Ahmad, Sana Shahab, Ashit Kumar Dutta, Ali Elrashidi, Amr Yousef, Zaffar Ahmed Shaikh
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Data disparity
Patient health monitoring
Perceptron learning
Sequence analysis
Wearable sensor
Online Access:https://doi.org/10.1038/s41598-025-08051-w
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https://doi.org/10.1038/s41598-025-08051-w

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