A5014940176- Non-Invasive Vital Sign Monitoring
- Heart Rate Variability and Autonomic Control
- Hemodynamic Monitoring and Therapy
- Healthcare Technology and Patient Monitoring
- Infrared Thermography in Medicine
- Thermal Regulation in Medicine
- Optical Imaging and Spectroscopy Techniques
- ECG Monitoring and Analysis
- Advanced Chemical Sensor Technologies
- Respiratory Support and Mechanisms
- Lung Cancer Diagnosis and Treatment
University of Electro-Communications
2020-2024
Background: In the last two decades, infrared thermography (IRT) has been applied in quarantine stations for screening of patients with suspected infectious disease. However, fever-based procedure employing IRT suffers from low sensitivity, because monitoring body temperature alone is insufficient detecting infected patients. To overcome drawbacks screening, this study aims to develop and evaluate a multiple vital sign (i.e., temperature, heart rate respiration rate) measurement system using...
Vital signs are objective indices of health status. Heart rate variability (HRV) is the physiological phenomenon variation in interval between consecutive heartbeats, which carries more information than respiration (RR) or heart (HR). Medical radar isa potential sensor for non-contact vital sign monitoring. However, this requires a complicated process HRV extraction. In study, was obtained as follows: The heartbeat component extracted from signal using locally projected noise reduction...
The dataset presented in this article is an update of the provided by K. Edanami and G. Sun entitled "Medical Radar Signal Dataset for Non-Contact Respiration Heart Rate Measurement" [1]. new includes radar signals reference laser measurements from experiments conducted on anesthetized rats. rats were placed a prone position, isoflurane was administered varying concentrations to maintain anesthesia. A 24 GHz sensor positioned above capture necessary data. contains time-stamped I Q channel as...
A non-contact bedside monitoring system using medical radar is expected to be applied clinical fields. Our previous studies have developed a based on for measuring respiratory rate (RR) and heart (HR). Heart variability (HRV), which essentially implemented in advanced system, such as prognosis prediction, more challenging biological information than the RR HR. In this study, we designed HRV measurement filter proposed method evaluate optimal cardiac signal extraction measurement. Because...
Medical radar for non-contact vital signs measurement exhibits great potential in both clinical and home healthcare settings. Especially during the corona virus spreading time, sensing more clearly shows advantages. Many previous studies have concentrated on medical radar-based applications, but pay less attention to working principles. A clear understanding of radars at mathematical physical levels is critically important developing application-specific signal processing algorithms....
The COVID-19 pandemic is a global health crisis. Mental critical in such uncertain situations, particularly when people are required to significantly restrict their movements and change lifestyles. Under these conditions, many countries have turned telemedicine strengthen expand mental services. Our research group previously developed illness screening system based on heart rate variability (HRV) analysis, enabling an objective easy self-check. This cannot be used for because it uses...
With the increasing improvement of quality life (QOL), health has become an item concern. However, owing to Covid-19, most organizations cannot do annual check-ups because they require contact with people and it is difficult maintain social distance. Consequently, in era epidemics, non-contact methods are paramount. In this paper, we present a breathing heart rate measurement system integrated into application using 24 GHz medical radar support check work. system, solve problem imbalance...
The worldwide adoption of telehealth services may benefit people who otherwise would not be able to access mental health support. In this paper, we present a novel algorithm obtain reliable pulse and respiration signals from non-contact facial image sequence analysis. proposed involved skin pixel extraction method in the processing part signal reconstruction using spectral information RGB part. was tested on 15 healthy subjects laboratory setting. results show that can accurately monitor...