Combination of Denoising Algorithms for Video-Based Non-contact Heart Rate Measurement

Xiao, Han; Jie, Xu; Hu, Danfeng; Wang, Jiajun

doi:10.1109/ictc55111.2022.9778685

Cited by 2 publications

(1 citation statement)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The purpose of the second step is to reduce the interference caused by changes in illumination. We perform fast wavelet transform (FWT) 11 on the three-channel signal, preprocess the signal to remove some of the interference of illumination, and then use the SOBI algorithm 12 to process the signal to remove both illumination and motion interference. The purpose of the third step is to filter out residual motion interference.…”

Section: A Framework For Resisting Illumination and Motion Interferen...mentioning

confidence: 99%

A non-contact heart rate measurement method resistant to illumination changes based on fast wavelet transform and second-order blind identification in far-field environments

Yuan,

Zhang

2024

Fifteenth International Conference on Signal Processing Systems (ICSPS 2023)

View full text Add to dashboard Cite

Heart rate is a key parameter for evaluating a person's physiological condition. In recent years, there have been many researches on remote heart rate measurement. However, these methods are mostly conducted in close-range scenarios, making them inapplicable in many scenarios. Remote photoplethysmography provides more possibilities for heart rate measurement in far-field environments. Moreover, the performance of heart rate measurement will be significantly reduced when the subject's movement and the illumination changing. We propose a rPPG framework for heart rate detection, which selects a larger region of interest using feature point tracking in far-field environments. The combination of fast wavelet transform and second-order blind identification is used to resist illumination interference and most of the motion interference. Singular spectrum analysis is then used to resist residual motion interference. In addition, we collected a database of illumination changes in far-field environments and tested our framework with it. The results show that our method is superior to all previous methods.

show abstract

Section: A Framework For Resisting Illumination and Motion Interferen...mentioning

confidence: 99%

A non-contact heart rate measurement method resistant to illumination changes based on fast wavelet transform and second-order blind identification in far-field environments

Yuan,

Zhang

2024

Fifteenth International Conference on Signal Processing Systems (ICSPS 2023)

View full text Add to dashboard Cite

show abstract

A Review on Computer Vision Technology for Physical Exercise Monitoring

et al. 2022

View full text Add to dashboard Cite

Physical activity is movement of the body or part of the body to make muscles more active and to lose the energy from the body. Regular physical activity in the daily routine is very important to maintain good physical and mental health. It can be performed at home, a rehabilitation center, gym, etc., with a regular monitoring system. How long and which physical activity is essential for specific people is very important to know because it depends on age, sex, time, people that have specific diseases, etc. Therefore, it is essential to monitor physical activity either at a physical activity center or even at home. Physiological parameter monitoring using contact sensor technology has been practiced for a long time, however, it has a lot of limitations. In the last decades, a lot of inexpensive and accurate non-contact sensors became available on the market that can be used for vital sign monitoring. In this study, the existing research studies related to the non-contact and video-based technologies for various physiological parameters during exercise are reviewed. It covers mainly Heart Rate, Respiratory Rate, Heart Rate Variability, Blood Pressure, etc., using various technologies including PPG, Video analysis using deep learning, etc. This article covers all the technologies using non-contact methods to detect any of the physiological parameters and discusses how technology has been extended over the years. The paper presents some introductory parts of the corresponding topic and state of art review in that area.

show abstract

Combination of Denoising Algorithms for Video-Based Non-contact Heart Rate Measurement

Cited by 2 publications

References 21 publications

A non-contact heart rate measurement method resistant to illumination changes based on fast wavelet transform and second-order blind identification in far-field environments

A non-contact heart rate measurement method resistant to illumination changes based on fast wavelet transform and second-order blind identification in far-field environments

A Review on Computer Vision Technology for Physical Exercise Monitoring

Contact Info

Product

Resources

About