A Hybrid Wavelet-Based Method for the Peak Detection of Photoplethysmography Signals
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Jiang Wu | Shan Jiang | Suyi Li | Wenji Xiong | Shu Diao | Shanqing Jiang | Shan Jiang | Suyi Li | Wenji Xiong | Shu Diao | Shanqing Jiang | Jiang Wu
[1] J. Vagedes,et al. How accurate is pulse rate variability as an estimate of heart rate variability? A review on studies comparing photoplethysmographic technology with an electrocardiogram. , 2013, International journal of cardiology.
[2] Jung Kim,et al. Artifacts in wearable photoplethysmographs during daily life motions and their reduction with least mean square based active noise cancellation method , 2012, Comput. Biol. Medicine.
[3] Ronald M. Aarts,et al. Reduction of Periodic Motion Artifacts in Photoplethysmography , 2017, IEEE Transactions on Biomedical Engineering.
[4] Stéphane Mallat,et al. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[5] A. Cohen. Ten Lectures on Wavelets, CBMS-NSF Regional Conference Series in Applied Mathematics, Vol. 61, I. Daubechies, SIAM, 1992, xix + 357 pp. , 1994 .
[6] Toshiyo Tamura,et al. Wearable Photoplethysmographic Sensors—Past and Present , 2014 .
[7] Myoungho Lee,et al. Adaptive threshold method for the peak detection of photoplethysmographic waveform , 2009, Comput. Biol. Medicine.
[8] Mehrdad Nourani,et al. A Motion-Tolerant Adaptive Algorithm for Wearable Photoplethysmographic Biosensors , 2014, IEEE Journal of Biomedical and Health Informatics.
[9] Rosalind W. Picard,et al. Motion-tolerant magnetic earring sensor and wireless earpiece for wearable photoplethysmography , 2010, IEEE Transactions on Information Technology in Biomedicine.
[10] T. Fu,et al. Heart Rate Extraction from Photoplethysmogram Waveform Using Wavelet Multi-resolution Analysis , 2008 .
[11] K. Takazawa,et al. Assessment of vascular aging and atherosclerosis in hypertensive subjects: second derivative of photoplethysmogram versus pulse wave velocity. , 2000, American journal of hypertension.
[12] José Vicente,et al. Robust algorithm to locate heart beats from multiple physiological waveforms by individual signal detector voting , 2014, Computing in Cardiology 2014.
[13] K. Chon,et al. Can Photoplethysmography Variability Serve as an Alternative Approach to Obtain Heart Rate Variability Information? , 2008, Journal of Clinical Monitoring and Computing.
[14] Mehmet Recep Bozkurt,et al. An innovative peak detection algorithm for photoplethysmography signals: an adaptive segmentation method , 2016 .
[15] E. Hari Krishna,et al. A Novel Approach for Motion Artifact Reduction in PPG Signals Based on AS-LMS Adaptive Filter , 2012, IEEE Transactions on Instrumentation and Measurement.
[16] Yuan-Ting Zhang,et al. Robust heart beat detection from photoplethysmography interlaced with motion artifacts based on Empirical Mode Decomposition , 2012, Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics.
[17] Xuezhi Zhao,et al. Similarity of signal processing effect between Hankel matrix-based SVD and wavelet transform and its mechanism analysis , 2009 .
[18] Boreom Lee,et al. Improved elimination of motion artifacts from a photoplethysmographic signal using a Kalman smoother with simultaneous accelerometry , 2010, Physiological measurement.
[19] Kang-Ming Chang,et al. Heart rate extraction from photoplethysmogram on fuzzy logic discriminator , 2010, Eng. Appl. Artif. Intell..
[20] Ahmet Resit Kavsaoglu,et al. A novel feature ranking algorithm for biometric recognition with PPG signals , 2014, Comput. Biol. Medicine.
[21] J. N. Watson,et al. Pulse oximetry-derived respiratory rate in general care floor patients , 2014, Journal of Clinical Monitoring and Computing.