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Implementation of Thermal Camera for Non-Contact Physiological Measurement: A Systematic Review
Martin Clinton Tosima Manullang1,2, Yuan-Hsiang Lin1, Sheng-Jie Lai1
1Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan.
Thermal cameras enable non-contact physiological measurements like respiratory rate and heart rate. This review examines current methods, challenges, and future prospects for thermal imaging in healthcare applications.
Area of Science:
- Biomedical Engineering
- Medical Imaging
- Physiological Monitoring
Background:
- Non-contact physiological measurements using image sensors are advancing rapidly.
- Thermal cameras offer advantages for temperature measurement in various environments, including low-light conditions.
- Existing research demonstrates the use of thermal cameras for measuring vital signs such as respiratory rate, heart rate, and body temperature.
Purpose of the Study:
- To provide a comprehensive overview of current studies on thermal camera-based physiological measurements.
- To analyze the methodologies, platforms, camera specifications, and processing techniques employed in these studies.
- To discuss the advantages, challenges, and future directions for thermal imaging in physiological monitoring.
Main Methods:
- Systematic review of existing literature on thermal camera-based physiological measurements.
- Examination of physiological signals measured, including respiratory rate, heart rate, and body temperature.
- Analysis of thermal camera models, specifications, platform integration, and camera fusion techniques.
- Review of image and signal processing algorithms and tools used for data analysis.
- Evaluation of performance metrics and comparison across different studies.
Main Results:
- Thermal cameras are effectively used for non-contact measurement of various physiological signals.
- A wide range of thermal camera models and processing techniques are utilized, with varying performance outcomes.
- Key challenges include environmental factors, signal noise, and algorithm accuracy.
- Advantages include non-invasiveness and applicability in diverse conditions.
Conclusions:
- Thermal imaging presents a promising, non-contact approach for physiological monitoring.
- Future advancements require improved algorithms, multi-parameter integration, and machine learning applications.
- Enhanced camera fusion and dedicated healthcare applications can further improve thermal camera utility.
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