Noncontact Monitoring of Dehydration Using RF Data Collected Off the Chest and the Hand

• Published in: IEEE sensors journal Vol. 24; no. 3; pp. 3574 - 3582
• Main Authors: Buttar, Hasan Mujtaba, Pervez, Kawish, Rahman, Muhammad Mahboob Ur, Mian, Adnan Noor, Riaz, Kashif, Abbasi, Qammer H.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.02.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Biomedical monitoring; Blood flow; Classifiers; COVID-19; Data collection; Decision trees; Dehydration; Frequency response; Keywords COVID-19; Machine learning; machine learning (ML); Monitoring; Neural networks; noncontact methods; OFDM; Orthogonal Frequency Division Multiplexing; Radio frequency; Radio signals; radio-frequency (RF)-based methods; RF signals; Sensors; Software radio; software-defined radio (SDR); Support vector machines

We report a novel noncontact method for dehydration monitoring. We utilize a transmit software-defined radio (SDR) that impinges a wideband radio-frequency (RF) signal (of frequency 5.23 GHz) onto either the chest or the hand of a subject who sits nearby. Furthermore, another SDR in the closed vicin...