Generalized Deep Neural Network Model for Cuffless Blood Pressure Estimation with Photoplethysmogram Signal Only
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Yung-Hui Li | Latifa Nabila Harfiya | Ching-Chun Chang | Yan-Cheng Hsu | Yung-hui Li | Ching-Chun Chang | Yan-Cheng Hsu | Yung-Hui Li
[1] Yuan-Ting Zhang,et al. Continuous Cuffless Blood Pressure Estimation Using Pulse Transit Time and Photoplethysmogram Intensity Ratio , 2016, IEEE Transactions on Biomedical Engineering.
[2] Yuan-Ting Zhang,et al. Long-term blood pressure prediction with deep recurrent neural networks , 2017, 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).
[3] Haneen Farah,et al. Heart Rate Analysis for Human Factors: Development and Validation of an Open Source Toolkit for Noisy Naturalistic Heart Rate Data , 2018 .
[4] Yu Sun,et al. Photoplethysmography Revisited: From Contact to Noncontact, From Point to Imaging , 2016, IEEE Transactions on Biomedical Engineering.
[5] Douglas G. Altman,et al. Measurement in Medicine: The Analysis of Method Comparison Studies , 1983 .
[6] G Parati,et al. Blood pressure measuring devices: recommendations of the European Society of Hypertension , 2001, BMJ : British Medical Journal.
[7] Yanjun Li,et al. Characters available in photoplethysmogram for blood pressure estimation: beyond the pulse transit time , 2014, Australasian Physical & Engineering Sciences in Medicine.
[8] D. Zheng,et al. Blood Pressure Estimation Using Photoplethysmography Only: Comparison between Different Machine Learning Approaches , 2018, Journal of healthcare engineering.
[9] Mohammad Sohel Rahman,et al. PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms , 2020, Bioengineering.
[10] Victor Hugo C. de Albuquerque,et al. Advances in Photopletysmography Signal Analysis for Biomedical Applications , 2018, Sensors.
[11] Haruki Kawanaka,et al. Cuffless blood pressure estimation using only photoplethysmography based on cardiovascular parameters , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[12] Fan Yang,et al. An End-to-End Neural Network Model for Blood Pressure Estimation Using PPG Signal , 2020 .
[13] Rabab Ward,et al. Toward Generating More Diagnostic Features from Photoplethysmogram Waveforms , 2018, Diseases.
[14] Travis E. Oliphant,et al. Guide to NumPy , 2015 .
[15] Ying Xing,et al. A Novel Neural Network Model for Blood Pressure Estimation Using Photoplethesmography without Electrocardiogram , 2018, Journal of healthcare engineering.
[16] E. O’Brien,et al. The British Hypertension Society protocol for the evaluation of automated and semi-automated blood pressure measuring devices with special reference to ambulatory systems. , 1990, Journal of hypertension.
[17] A. Hill,et al. The Velocity of the Pulse Wave in Man , 1922 .
[18] Guanglin Li,et al. Investigating the physiological mechanisms of the photoplethysmogram features for blood pressure estimation , 2020, Physiological measurement.
[19] Hoda Mohammadzade,et al. Cuff-less high-accuracy calibration-free blood pressure estimation using pulse transit time , 2015, 2015 IEEE International Symposium on Circuits and Systems (ISCAS).
[20] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[21] Mahdi Shabany,et al. Cuffless Blood Pressure Estimation Algorithms for Continuous Health-Care Monitoring , 2017, IEEE Transactions on Biomedical Engineering.
[22] C.C.Y. Poon,et al. A Health-Shirt using e-Textile Materials for the Continuous and Cuffless Monitoring of Arterial Blood Pressure , 2006, 2006 3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors.
[23] Nino Isakadze,et al. How useful is the smartwatch ECG? , 2019, Trends in cardiovascular medicine.
[24] Nikolaos Stergiopulos,et al. Snapshots of Hemodynamics , 2004, Springer International Publishing.
[25] Mitja Lustrek,et al. Blood Pressure Estimation from Photoplethysmogram Using a Spectro-Temporal Deep Neural Network , 2019, Sensors.
[26] Giorgos Tatsis,et al. A Prototype Photoplethysmography Electronic Device that Distinguishes Congestive Heart Failure from Healthy Individuals by Applying Natural Time Analysis , 2019, Electronics.
[27] M. Elgendi. On the Analysis of Fingertip Photoplethysmogram Signals , 2012, Current cardiology reviews.
[28] Domenico Grimaldi,et al. A Neural Network-based method for continuous blood pressure estimation from a PPG signal , 2013, 2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).
[29] Md. Kamrul Hasan,et al. Cuffless blood pressure estimation from electrocardiogram and photoplethysmogram using waveform based ANN-LSTM network , 2018, Biomed. Signal Process. Control..
[30] Ni Zhao,et al. Feature Exploration for Knowledge-guided and Data-driven Approach Based Cuffless Blood Pressure Measurement , 2019 .
[31] R.G. Mark,et al. A signal abnormality index for arterial blood pressure waveforms , 2006, 2006 Computers in Cardiology.
[32] Alexei Botchkarev,et al. A New Typology Design of Performance Metrics to Measure Errors in Machine Learning Regression Algorithms , 2019, Interdisciplinary Journal of Information, Knowledge, and Management.
[33] Viv Bewick,et al. Statistics review 7: Correlation and regression , 2003, Critical care.