Adaptive Filtering for Heart Rate Estimation Using Cepstrum Technique

被引:0
|
作者
Chuang, Cheng-Ta [1 ]
Chang, Tom [2 ]
Chiang, Yi-Te [3 ]
Chang, Fan-Ren [1 ]
机构
[1] Natl Taiwan Univ, Dept Elect Engn, Taipei, Taiwan
[2] Eminent Elect Technol Corp Ltd, Hsinchu, Taiwan
[3] Lee Ming Inst Technol, Dept Elect Engn, New Taipei, Taiwan
关键词
Photoplethysmography; Cepstrum; Motion artifact; Harmonic cancllenction;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
this paper aims to study the heart rate monitoring using Photoplethysmography (PPG) sensor. No additional hardware such as accelerometers has been used in our algorithm. The heart rate has a fundamental and harmonic structure. The cepstrum-based is useful for detecting harmonics. This paper proposes a signal approach based on the cepstrum analysis to enhance the periodic spectral components. The algorithm could effectively improve the quality of the PPG signals. The cepstrum-based method is helpful for distinguishing motion artifacts from PPG signal. The effectiveness of the fundamental and harmonic frequency enhancement in real time is experimentally demonstrated. The experiment results show that the heart rate estimation error can be reduced significantly.
引用
收藏
页数:3
相关论文
共 50 条
  • [1] Heart Rate Estimation of PPG Signals With Simultaneous Accelerometry Using Adaptive Neural Network Filtering
    Puranik, Swapnil
    Morales, Aldo W.
    [J]. IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2020, 66 (01) : 69 - 76
  • [2] Heart Rate Estimation from FBG Sensors using Cepstrum Analysis and Sensor Fusion
    Zhu, Yongwei
    Fook, Victor Foo Siang
    Jianzhong, Emily Hao
    Maniyeri, Jayachandran
    Guan, Cuntai
    Zhang, Haihong
    Jiliang, Eugene Phua
    Biswas, Jit
    [J]. 2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2014, : 5365 - 5368
  • [3] Adaptive mean and trend removal of heart rate variability using Kalman filtering
    Schlögl, A
    Fortin, J
    Habenbacher, W
    Akay, M
    [J]. PROCEEDINGS OF THE 23RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4: BUILDING NEW BRIDGES AT THE FRONTIERS OF ENGINEERING AND MEDICINE, 2001, 23 : 571 - 573
  • [4] Fetal Heart Rate Estimation: Adaptive Filtering Approach vs Time-Frequency Analysis
    Ahmad, Ashraf A.
    Nyitamen, Dominic S.
    Lawan, Sagir
    Wamdeo, Chiroma L.
    [J]. 2019 2ND INTERNATIONAL CONFERENCE OF THE IEEE NIGERIA COMPUTER CHAPTER (NIGERIACOMPUTCONF), 2019, : 82 - 86
  • [5] THE ESTIMATION OF K-INDICES BY COMPUTER USING A DATA-ADAPTIVE FILTERING TECHNIQUE
    HATTINGH, M
    NAGTEGAAL, D
    LOUBSER, L
    [J]. ANNALES GEOPHYSICAE-ATMOSPHERES HYDROSPHERES AND SPACE SCIENCES, 1988, 6 (06): : 611 - 617
  • [6] Baseline Drift Correction and Heart Rate Estimation using Histogram Technique
    Dutta, Ayan
    Kar, Biswajit
    [J]. 2017 INTERNATIONAL CONFERENCE ON INNOVATIONS IN ELECTRONICS, SIGNAL PROCESSING AND COMMUNICATION (IESC), 2017, : 115 - 120
  • [7] ECG and heart rate detection of prenatal cattle foetus using adaptive digital filtering
    Chen, WX
    Nemoto, T
    Kobayashi, T
    Saito, T
    Kasuya, E
    Honda, Y
    [J]. PROCEEDINGS OF THE 22ND ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4, 2000, 22 : 962 - 965
  • [8] Reliability Estimation and Filtering of Heart Rate Measurement Using Inertial Sensor during Exercise
    Yoshikawa, Hiroki
    Hayashi, Masayuki
    Uchiyama, Akira
    Higashino, Teruo
    [J]. SENSORS AND MATERIALS, 2022, 34 (08) : 2985 - 2999
  • [9] Robust heart rate estimation using wrist-type photoplethysmographic signals during physical exercise: an approach based on adaptive filtering
    Fallet, Sibylle
    Vesin, Jean-Marc
    [J]. PHYSIOLOGICAL MEASUREMENT, 2017, 38 (02) : 155 - 170
  • [10] ADAPTIVE FILTERING IN ECG MONITORING OF THE FETAL HEART-RATE
    FRANK, TH
    BLAUMANIS, OR
    GIBBS, RK
    WELLS, RK
    [J]. JOURNAL OF ELECTROCARDIOLOGY, 1987, 20 : 108 - 113