Previously submitted to: JMIR Cardio (no longer under consideration since Feb 02, 2026)
Date Submitted: Oct 27, 2025
Open Peer Review Period: Oct 29, 2025 - Dec 24, 2025
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An Integrated System for Non-Contact Heart Rate and Temperature Monitoring: A Dual-Sensor Approach Combining 60GHz RADAR with Advanced Signal Processing and an AI-Guided Infrared Sensor
ABSTRACT
Background:
The growing need for remote patient monitoring, accelerated by the global pandemic and an aging population, necessitates the development of advanced non-contact technologies for measuring vital signs. Conventional contact-based sensors pose risks of infection and cause discomfort during long-term use, while existing non-contact methods suffer from inaccuracies due to environmental factors and user motion. Heart rate (HR) and body temperature (Temp) are fundamental indicators of health, yet their reliable and convenient remote measurement remains a significant challenge.
Objective:
This study aims to develop and validate an integrated, non-contact system for accurately measuring HR and Temp. The proposed system leverages 60GHz RADAR and a high-performance infrared (IR) sensor, enhanced with advanced signal processing and an AI-based computer vision algorithm, to overcome the limitations of conventional methods.
Methods:
A novel system was designed, combining a 60GHz RADAR sensor for HR measurement and an IR sensor for Temp measurement. To enhance HR accuracy, a Window Filter and a Peak Uniformity algorithm were applied to the raw RADAR signal to mitigate noise and motion artifacts. For Temp measurement, an IR sensor with a narrow 5° Field of View (FOV) was integrated with a YOLO Pose-based tracking system, which uses a camera and servo motors to automatically orient the sensor towards the user's face. The system's performance was validated in a controlled laboratory setting with 30 healthy adult participants (mean age 40.8). The results were benchmarked against gold-standard devices: a MAX30102 PPG sensor for HR and a Braun ThermoScan 7 for Temp.
Results:
The advanced signal processing for the RADAR sensor significantly improved HR measurement accuracy, reducing the Mean Absolute Error (MAE) from 13.73 BPM to 5.28 BPM (p=0.002) and decreasing error variability. For temperature, the AI-guided IR sensor demonstrated superior performance, lowering the MAE from 4.10°C to 1.64°C (p < 0.001) compared to a fixed-angle sensor. Notably, the maximum error of the AI-guided system (2.2°C) was lower than the minimum error of the conventional method (2.6°C), indicating enhanced stability and reliability.
Conclusions:
The findings demonstrate that integrating 60GHz RADAR with advanced signal processing and an AI-driven tracking system provides a robust and accurate solution for non-contact vital sign monitoring. Clinical Trial: KWNUIRB-2025-07-007-001
Citation
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