A Novel Digital Twin (DT) Model Based on WiFi CSI, Signal Processing and Machine Learning for Patient Respiration Monitoring and Decision-Support

A Novel Digital Twin (DT) Model Based on WiFi CSI, Signal Processing and Machine Learning for Patient Respiration Monitoring and Decision-Support

Digital Twin (DT) in Healthcare 4.0 (H4.0) presents a digital model of the patient with all its biological properties and characteristics. One of the application areas is patient respiration monitoring for enhanced patient care and decision support to healthcare professionals. Obtrusive methods of p...

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Bibliographic Details
Main Authors: Sagheer Khan, Aaesha Alzaabi, Zafar Iqbal, Tharmalingam Ratnarajah, Tughrul Arslan
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Digital twin
machine learning (ML)
principle component analysis (PCA)
respiration rate estimation
signal processing
unobtrusive Wi-Fi sensor
Online Access:https://ieeexplore.ieee.org/document/10254209/

Internet

https://ieeexplore.ieee.org/document/10254209/

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