Face Video Heart Rate Detection Based on FastICA and ICEEMDAN
Zhao Mingkang1,2, Wang Zhen1,2, Qi Chencheng1,2, Wang Yixiao1,2, Zhang Shuai1,2*
1(State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology, Tianjin 300130, China) 2(Tianjin Key Laboratory of Bioelectricity and Intelligent Health Hebei University of Technology, Tianjin 300130, China)
赵明康, 王镇, 齐晨成, 王艺潇, 张帅. 基于FastICA与ICEEMDAN的人脸视频心率检测[J]. 中国生物医学工程学报, 2022, 41(4): 508-512.
Zhao Mingkang, Wang Zhen, Qi Chencheng, Wang Yixiao, Zhang Shuai. Face Video Heart Rate Detection Based on FastICA and ICEEMDAN. Chinese Journal of Biomedical Engineering, 2022, 41(4): 508-512.
[1] Verkruysse W, Svaasand Lars O, Nelson JS, et al. Remote plethysmographic imaging using ambient light[J]. Optics express, 2008, 16(26): 21434-21445. [2] Poh MZ, McDuff DJ, Picard RW, et al. Non-contact, automated cardiac pulse measurements using video imaging and blind source separation[J]. Optics Express, 2010, 18(10): 10762-10774. [3] Mayank K, Ashok V, Ashutosh S. DistancePPG: robust non-contact vital signs monitoring using a camera[J]. Biomedical Optics Express, 2015, 6(5): 1565-1588. [4] Robert A, David C, Alexander W. Spectral-spatial fusion model for robust blood pulse waveform extraction in photoplethysmographic imaging[J]. Biomedical Optics Express, 2016, 7(12): 4874-4885. [5] Wei Bing, He Xuan, Zhang Chao, et al. Non-contact, synchronous dynamic measurement of respiratory rate and heart rate based on dual sensitive regions.[J]. Biomedical Engineering Online, 2017, 16(1): 17. [6] Norwahidah I, Razali T; Nurshazwani WZW, et al. Non-contact heart rate monitoring analysis from various distances with different face regions[J]. International Journal of Electrical and Computer Engineering (IJECE), 2017, 7(6): 3030-3036. [7] Macwan R, Benezeth Y, Mansouri A. Heart rate estimation using remote photoplethysmography with multi-objective optimization[J]. Biomedical Signal Processing and Control, 2019, 49: 24-33. [8] Martinez N, Bertran M, Sapiro G, et al. Non-contact photoplethysmogram and instantaneous heart rate estimation from infrared face video[J]. Proceedings of the 26th IEEE International Conference on Image Processing (ICIP). Taipei: ICIP, 2019:2020-2024. [9] 李晓媛, 武鹏, 刘允,等. 基于人脸视频的心率参数提取[J]. 光学精密工程, 2020(3):548-557. [10] Wu Ting, Blazek V, Schmitt HJ. Photoplethysmography imaging: a new noninvasive and noncontact method for mapping of the dermal perfusion changes[J]. Physica A: Statistical Mechanics and its Applications, 2000, 4163:62-70. [11] Hassan N, Ramli DA. A comparative study of blind source separation for bioacoustics sounds based on FastICA, PCA and NMF[J]. Procedia Computer Science, 2018, 126: 363-372. [12] Colominas MA, Schlotthauer G, Torres ME. Improved complete ensemble EMD: a suitable tool for biomedical signal processing[J]. Biomedical Signal Processing and Control, 2014, 14: 19-29. [13] Viola P,Jones M J.Robust real-time face detection[C]//Proceedings of the IEEE International Conference on Computer Vision.Vancouver: IEEE, 2001: 747-747. [14] Norden E, Zheng Shen, Steven R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 1998, 454(1971): 903-995. [15] Torres ME, Colominas MA, Schlotthauer G, et al. A complete ensemble empirical mode decomposition with adaptive noise[C]//2011 IEEE International Conference on Acoustics, Speech and Signal Processing. Prague: IEEE, 2011:4144-4147.
