| Citation: | Zhen FANG, Zhongrui BAI, Xianxiang CHEN, Pan XIA, Zhengling HE, Rongjian ZHAO. Unconstrained Accurate Beat-to-beat Heart Rate Extraction Based on Piezoelectric Ceramics Sensor[J]. Journal of Electronics & Information Technology, 2021, 43(5): 1472-1479. doi: 10.11999/JEIT200045 | 
 
	                | [1] | JAVAID A Q, ASHOURI H, TRIDANDAPANI S, et al. Elucidating the hemodynamic origin of ballistocardiographic forces: Toward improved monitoring of cardiovascular health at home[J]. IEEE Journal of Translational Engineering in Health and Medicine, 2016, 4: 1900208. doi:  10.1109/jtehm.2016.2544752 | 
| [2] | BRUSER C, STADLTHANNER K, DE WAELE S, et al. Adaptive beat-to-beat heart rate estimation in ballistocardiograms[J]. IEEE Transactions on Information Technology in Biomedicine, 2011, 15(5): 778–786. doi:  10.1109/TITB.2011.2128337 | 
| [3] | SHIN J H, HWANG S H, CHANG M H, et al. Heart rate variability analysis using a ballistocardiogram during Valsalva manoeuvre and post exercise[J]. Physiological Measurement, 2011, 32(8): 1239–1264. doi:  10.1088/0967-3334/32/8/015 | 
| [4] | YAO Yang, SHIN S, MOUSAVI A, et al. Unobtrusive estimation of cardiovascular parameters with limb ballistocardiography[J]. Sensors, 2019, 19(13): 2922. doi:  10.3390/s19132922 | 
| [5] | SCARBOROUGH W R and TALBOT S A. Proposals for ballistocardiographic nomenclature and conventions: Revised and extended report of committee on ballistocardiographic terminology[J]. Circulation, 1956, 14(3): 435–450. doi:  10.1161/01.CIR.14.3.435 | 
| [6] | JAVAID A Q, WIENS A D, FESMIRE N F, et al. Quantifying and reducing posture-dependent distortion in ballistocardiogram measurements[J]. IEEE Journal of Biomedical and Health Informatics, 2015, 19(5): 1549–1556. doi:  10.1109/JBHI.2015.2441876 | 
| [7] | 崔晓雪, 成忠, 顾晔. 高血压合并糖尿病患者血压变异性与心率变异性的相关性[J]. 中国动脉硬化杂志, 2018, 26(6): 617–620. doi:  10.3969/j.issn.1007-3949.2018.06.014 CUI Xiaoxue, CHENG Zhong, and GU Ye. Correlation between blood pressure variability and heart rate variability in patients with hypertension and diabetes mellitus[J]. Chinese Journal of Arteriosclerosis, 2018, 26(6): 617–620. doi:  10.3969/j.issn.1007-3949.2018.06.014 | 
| [8] | MALIK J, LO Y L, and WU H T. Sleep-wake classification via quantifying heart rate variability by convolutional neural network[J]. Physiological Measurement, 2018, 39(8): 085004. doi:  10.1088/1361-6579/aad5a9 | 
| [9] | KIM H G, CHEON E J, BAI D S, et al. Stress and heart rate variability: A meta-analysis and review of the literature[J]. Psychiatry Investigation, 2018, 15(3): 235–245. doi:  10.30773/pi.2017.08.17 | 
| [10] | 赵荣建, 汤敏芳, 陈贤祥, 等. 基于光纤传感的生理参数监测系统研究[J]. 电子与信息学报, 2018, 40(9): 2182–2189. doi:  10.11999/JEIT170894 ZHAO Rongjian, TANG Minfang, CHEN Xianxiang, et al. Research of physiological monitoring system based on optical fiber sensor[J]. Journal of Electronics and Information Technology, 2018, 40(9): 2182–2189. doi:  10.11999/JEIT170894 | 
| [11] | KENRY, YEO J C, and LIM C T. Emerging flexible and wearable physical sensing platforms for healthcare and biomedical applications[J]. Microsystems & Nanoengineering, 2016, 2: 16043. doi:  10.1038/micronano.2016.43 | 
| [12] | TANG Shihao, LIU Huafeng, YAN Shitao, et al. A high-sensitivity MEMS gravimeter with a large dynamic range[J]. Microsystems & Nanoengineering, 2019, 5: 45. doi:  10.1038/s41378-019-0089-7 | 
| [13] | ZHAO Mingmin, YUE Shichao, KATABI D, et al. Learning sleep stages from radio signals: A conditional adversarial architecture[C]. The 34th International Conference on Machine Learning, Sydney, Australia, 2017: 4100–4109. | 
| [14] | 杨昭, 杨学志, 霍亮, 等. 抗运动干扰的人脸视频心率估计[J]. 电子与信息学报, 2018, 40(6): 1345–1352. doi:  10.11999/JEIT170824 YANG Zhao, YANG Xuezhi, HUO Liang, et al. Heart rate estimation from face videos against motion interference[J]. Journal of Electronics &Information Technology, 2018, 40(6): 1345–1352. doi:  10.11999/JEIT170824 | 
| [15] | JIAO Changzhe, SU Boyu, LYONS P, et al. Multiple instance dictionary learning for beat-to-beat heart rate monitoring from ballistocardiograms[J]. IEEE Transactions on Biomedical Engineering, 2018, 65(11): 2634–2648. doi:  10.1109/TBME.2018.2812602 | 
| [16] | NAGURA M, MITSUKURA Y, KISHIMOTO T, et al. An estimation of heart rate variability from ballistocardiogram measured with bed leg sensors[C]. 2018 IEEE International Conference on Industrial Technology (ICIT), Lyon, France, 2018: 2005–2009. doi: 10.1109/ICIT.2018.8352495. | 
| [17] | 梁帆, 孟晓风, 余旸. 基于二阶伏特拉级数模型的心脏运动信号快速最小二乘估计[J]. 电子与信息学报, 2013, 35(3): 639–644. doi:  10.3724/SP.J.1146.2012.00866 LIANG Fan, MENG Xiaofeng, and YU Yang. Second order volterra series model based fast least square method for heart motion prediction[J]. Journal of Electronics &Information Technology, 2013, 35(3): 639–644. doi:  10.3724/SP.J.1146.2012.00866 | 
| [18] | FREY B J and DUECK D. Clustering by passing messages between data points[J]. Science, 2007, 315(5814): 972–976. doi:  10.1126/science.1136800 | 
| [19] | PAN Jiapu and TOMPKINS W J. A real-time QRS detection algorithm[J]. IEEE Transactions on Biomedical Engineering, 1985, BME-32(3): 230–236. doi:  10.1109/TBME.1985.325532 | 
