Publications
Papers
[*] stands for corresponding author
Po-Ya Hsu, Yi-Chung Hsu, Hsin-Li Liu, Wei Fong Kao, & Kuan-Yu Lin* “An Acute Kidney Injury Prediction Model for 24-hour Ultramarathon Runners” [Journal of Human Kinetics (in press)]
Deborah L Harrington, Po-Ya Hsu [co-first author], Rebecca J Theilmann, Annemarie Angeles-Quinto, Ashley Robb-Swan, Sharon Nichols, Tao Song, Lu Le, Carl Rimmele, Scott Matthews, Kate A Yurgil, Angela Drake, Zhengwei Ji, Jian Guo, Chung-Kuan Cheng, Roland R Lee, Dewleen G Baker, Mingxiong Huang*. “Detection of chronic blast-related mild traumatic brain injury with diffusion tensor imaging and support vector machines” [Diagnostics 12 (4), 987, 2022]
Po-Ya Hsu*, Po-Han Hsu, Hsin-Li Liu, Kuan-Yu Lin, & Tsung-Han Lee. “Motion Artifact Resilient Cuff-Less Blood Pressure Monitoring Using a Fusion of Multi-Dimensional Seismocardiograms” [selected oral presentation, IEEE EMBC 2021]
Po-Ya Hsu*, Po-Han Hsu, Hsin-Li Liu, Chi-Te Lin, Hung-Tao Chou, Yu-Fang Tseng & Tsung-Han Lee. “Star-ECG: Visualization of Electrocardiograms for Arrhythmia and Heart Rate Variability” [selected oral presentation, IEEE EMBC 2021]
Po-Ya Hsu, Po-Han Hsu, Tsung-Han Lee & Hsin-Li Liu*. “Heart Rate and Respiratory Rate Monitoring Using Seismocardiography” [selected oral presentation, IEEE EMBC 2021]
Po-Ya Hsu, Po-Han Hsu, Tsung-Han Lee & Hsin-Li Liu*. “Motion Artifact Resilient SCG-based Biometric Authentication Using Machine Learning” [selected oral presentation, IEEE EMBC 2021]
Beril Polat, Laura Becerra, Po-Ya Hsu, Vineel Kaipu, Patrick Mercier, Cheng-Kuan Cheng & Darren Lipomi*. “Epidermal Graphene Sensors and Machine Learning for Estimating Swallowed Volume” [ACS Applied Nano Materials 4 (8), 8126-8134, 2021 Editor’s Choice]
Po-Ya Hsu*, Po-Han Hsu & Hsin-Li Liu “Exploring Seismocardiogram Biometrics with Wavelet Transform” [ICPR 2020/2021]
Po-Ya Hsu*, Po-Han Hsu, Tsung-Han Lee & Hsin-Li Liu “Multi-Label Arrhythmia Classification from 12-Lead Electrocardiograms” [selected poster presentation, CinC 2020]
Po-Ya Hsu* and Chung-Kuan Cheng “Arrhythmia Classification Using Deep Learning and Machine Learning with Features Extracted from Waveform-Based Signal Processing” [selected oral presentation, IEEE EMBC 2020]
Po-Ya Hsu* and Chung-Kuan Cheng “R-peak Detection Using a Hybrid of Gaussian and Threshold Sensitivity” [selected oral presentation, IEEE EMBC 2020]
Po-Ya Hsu, Kuan-Yu Lin, Po-Han Hsu, Wei Fong Kao, Yi-Chung Hsu, & Hsin-Li Liu* “Prediction of Acute Kidney Injury during the Prerace Stage of a 48-hour Ultramarathon” [Journal Translational Sports Medicine 3 (6), 599-606, 2020]
Po-Ya Hsu*, Po-Han Hsu, & Hsin-Li Liu “Fold Electrocardiogram Into a Fingerprint” [presented at IEEE CVPR 2020 Biometrics Workshop]
Chang, E., Cheng*, C. K., Gupta, A., Hsu, P. Y., Moffitt, A., Ren, A., Tsaur, I., & Wang, S. “Empirical study on sufficient numbers of minimum cuts in strongly connected directed random graphs” [Journal Networks, 2020, authors are listed in alphabetical order of family name]
Po-Ya Hsu* and Chester Holtz, “A Comparison of Machine Learning Tools for Early Prediction of Sepsis from ICU Data” [presented at Computing in Cardiology Conference (CinC) 2019]
Chang, E., Cheng, C. K., Gupta, A., Hsu, P. H., Hsu*, P. Y., Liu, H. L. Moffitt, A., Ren, A., Tsaur, I., & Wang, S. “Cuff-less Blood Pressure Monitoring with A Three-Axis Accelerometer” [selected oral presentation at IEEE EMBC 2019, authors are listed in alphabetical order of family name]
Hsu*, P. Y., Hsu, P. H., & Liu, H. L. “Real Time Blood Pressure Monitoring: A Three-Dimensional Acceleration-based Cuff-Less Noninvasive Approach” [selected poster presentation at IEEE EMBC 2019, short paper]
Hsu, Po-Ya*, Chun-Han Yao*, Yuwei Wang, and Chung-Kuan Cheng*. "Adaptive sensitivity analysis with nonlinear power load modeling." [In Proceedings of the 20th System Level Interconnect Prediction Workshop, p. 5. ACM, 2018, presented at DAC workshop]
Presentations
[Selected Virtual Oral Presentation in IEEE EMBC 2021] "Motion Artifact Resilient Cuff-Less Blood Pressure Monitoring Using a Fusion of Multi-Dimensional Seismocardiograms" (Oct. 2021)
[Selected Virtual Oral Presentation in IEEE EMBC 2021] "Star-ECG: Visualization of Electrocardiograms for Arrhythmia and Heart Rate Variability" (Oct. 2021)
[Selected Virtual Oral Presentation in IEEE EMBC 2021] "Heart Rate and Respiratory Rate Monitoring Using Seismocardiography" (Oct. 2021)
[Selected Virtual Oral Presentation in IEEE EMBC 2021] "Motion Artifact Resilient SCG-based Biometric Authentication Using Machine Learning" (Oct. 2021)
[Selected Virtual Poster Presentation in ICPR 2020/2021] "Exploring Seismocardiogram Biometrics with Wavelet Transform" (Jan. 2021)
[Selected Virtual Poster Presentation in CinC 2020] "Multi-Label Arrhythmia Classification from 12-Lead Electrocardiograms" (Sep. 2020)
[Selected Virtual Oral Presentation in IEEE EMBC 2020] "Arrhythmia Classification Using Deep Learning and Machine Learning with Features Extracted from Waveform-Based Signal Processing" (Jul. 2020)
[Selected Virtual Oral Presentation in IEEE EMBC 2020] "R-peak Detection Using a Hybrid of Gaussian and Threshold Sensitivity" (Jul. 2020)
[Selected Virtual Oral Presentation in IEEE CVPR 2020 Biometrics Workshop] "Fold Electrocardiogram Into a Fingerprint" (Jun. 2020)
[Invited Oral Presentation] "Non-invasive Blood Pressure Monitoring - A Body Sensor Network Approach" in Center of Wearable Sensors Summit UC San Diego (May 2020)
[Selected Poster Presentation in IEEE Sponsored CinC 2019] "A Comparison of Machine Learning Tools for Early Prediction of Sepsis from ICU Data" (Sep. 2019)
[Selected Oral Presentation in IEEE EMBC 2019] "Cuff-Less Blood Pressure Monitoring with A Three-Axis Accelerometer" (Jul. 2019)
[Selected Poster Presentation in IEEE EMBC 2019] "Real Time Blood Pressure Monitoring: A Three-Dimensional Acceleration-based Cuff-Less Noninvasive Approach" (to appear in Jul. 2019)
[Poster Presentation in UCSD Research EXPO] "Cuff-Less Blood Pressure Monitoring with A Three-Axis Accelerometer" (Apr. 2019)
[Unicorn Runner-Up Awarded Poster Presentation in UCSD CSE Research House] "Cuff-Less Blood Pressure Monitoring with A Three-Axis Accelerometer" (Jan. 2019)
[Invited Poster Presentation] "Cuff-Less Blood Pressure Monitoring with A Three-Axis Accelerometer" in Center of Wearable Sensors Summit UC San Diego (Nov. 2018)
[Selected Poster Presentation in Society of Neuroscience Conference 2018] "Blast-related Mild Traumatic Brain Injury in Chronic Phase: A Diffusion Tensor Imaging Study with Machine Learning" (Nov. 2018)
[Invited Talk in National Chung-Hsin University] "3D imaging data processing techniques and applicable machine learning methods in diffusion MRI for disease identification" (Sep. 2018)
[Oral Presentation in DAC workshop] "Adaptive sensitivity analysis with nonlinear power load modeling" (Jun. 2018)
[Selected Speaker in the Frontiers of Innovation Scholar Program] "Discovery of Mild Traumatic Brain Injury using a Support Vector Machine approach" (Oct. 2017)
Others
My Dissertation: "Computational Methodologies for Cardiac Signal Applications: Arrhythmia Classification, Biometric Identification, and Blood Pressure Estimation" Hsu, Po-Ya* (Dec. 2021)
My Research Exam Survey: "Dynamic Parameter Estimation of Brain Mechanisms" Hsu, Po-Ya* (Sep. 2019) [arXiv]