How nonlinear-type time-frequency analysis can help in sensing instantaneous heart rate and instantaneous respiratory rate from photoplethysmography in a reliable way
作者： Antonio Cicone , Hau-Tieng Wu
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摘要: Despite the population of noninvasive, economic, comfortable, and easy-to-install photoplethysmography (PPG), it is still lacking a mathematically rigorous stable algorithm which able to simultaneously extract from single-channel PPG signal instantaneous heart rate (IHR) respiratory (IRR). In this paper, novel called deppG provided tackle challenge. composed two theoretically solid nonlinear-type time-frequency analyses techniques, de-shape short time Fourier transform synchrosqueezing transform, allows us physiological information in reliable way. To test its performance, addition validating by simulated discussing meaning "instantaneous", applied publicly available batch databases, Capnobase ICASSP 2015 processing cup. The former contains signals relative spontaneous or controlled breathing static patients, latter made up collected subjects doing intense physical activities. accuracies estimated IHR IRR are compared with ones obtained other methods, represent state-of-the-art field research. results suggest potential acquired widely wearable devices, even when subject carries out
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core.ac.uk 参考文章(51)
Yangsong Zhang, Benyuan Liu, Zhilin Zhang, Combining ensemble empirical mode decomposition with spectrum subtraction technique for heart rate monitoring using wrist-type photoplethysmography Biomedical Signal Processing and Control. ,vol. 21, pp. 119- 125 ,(2015) , 10.1016/J.BSPC.2015.05.006
Tim Schack, Christian Sledz, Michael Muma, Abdelhak M. Zoubir, A new method for heart rate monitoring during physical exercise using photoplethysmographic signals european signal processing conference. pp. 2666- 2670 ,(2015) , 10.1109/EUSIPCO.2015.7362868
Marco A. F. Pimentel, Peter H. Charlton, David A. Clifton, Probabilistic Estimation of Respiratory Rate from Wearable Sensors Springer International Publishing. pp. 241- 262 ,(2015) , 10.1007/978-3-319-18191-2_10
Daniel Wedekind, Hagen Malberg, Sebastian Zaunseder, Frederik Gaetjen, Klaus Matschke, Stefan Rasche, Automated identification of cardiac signals after blind source separation for camera-based photoplethysmography ieee international conference on electronics and nanotechnology. pp. 422- 427 ,(2015) , 10.1109/ELNANO.2015.7146950
Biao Sun, Zhilin Zhang, Photoplethysmography-Based Heart Rate Monitoring Using Asymmetric Least Squares Spectrum Subtraction and Bayesian Decision Theory IEEE Sensors Journal. ,vol. 15, pp. 7161- 7168 ,(2015) , 10.1109/JSEN.2015.2473697
Navaneet K Lakshminarasimha Murthy, Pavan C Madhusudana, Pradyumna Suresha, Vijitha Periyasamy, Prasanta Kumar Ghosh, None, Multiple Spectral Peak Tracking for Heart Rate Monitoring from Photoplethysmography Signal During Intensive Physical Exercise IEEE Signal Processing Letters. ,vol. 22, pp. 2391- 2395 ,(2015) , 10.1109/LSP.2015.2486681
M. D. Peláez-Coca, M. Orini, J. Lázaro, R. Bailón, E. Gil, Cross Time-Frequency Analysis for Combining Information of Several Sources: Application to Estimation of Spontaneous Respiratory Rate from Photoplethysmography Computational and Mathematical Methods in Medicine. ,vol. 2013, pp. 631978- 631978 ,(2013) , 10.1155/2013/631978
K Venu Madhav, M Raghu Ram, E Hari Krishna, Nagarjuna Reddy Komalla, K Ashoka Reddy, None, Robust Extraction of Respiratory Activity From PPG Signals Using Modified MSPCA IEEE Transactions on Instrumentation and Measurement. ,vol. 62, pp. 1094- 1106 ,(2013) , 10.1109/TIM.2012.2232393
Thomas Oberlin, Sylvain Meignen, Valerie Perrier, Second-Order Synchrosqueezing Transform or Invertible Reassignment? Towards Ideal Time-Frequency Representations IEEE Transactions on Signal Processing. ,vol. 63, pp. 1335- 1344 ,(2015) , 10.1109/TSP.2015.2391077
J. Lee, K. H. Chon, Respiratory Rate Extraction Via an Autoregressive Model Using the Optimal Parameter Search Criterion Annals of Biomedical Engineering. ,vol. 38, pp. 3218- 3225 ,(2010) , 10.1007/S10439-010-0080-9