Tse-Yi Tu

According to our database, Tse-Yi Tu authored at least 6 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Predicting Blood Pressures for Pregnant Women by PPG and Personalized Deep Learning.

Duc Huy Nguyen, Paul Chang-Po Chao, Hiu Fai Yan, Tse-Yi Tu, Chin-Hung Cheng, Tan-Phat Phan

IEEE J. Biomed. Health Informatics, January, 2025

2019

Machine Learning Classification for Assessing the Degree of Stenosis and Blood Flow Volume at Arteriovenous Fistulas of Hemodialysis Patients Using a New Photoplethysmography Sensor Device.

Pei-Yu Chiang, Paul C.-P. Chao, Tse-Yi Tu, Yung-Hua Kao, Chih-Yu Yang, Der-Cherng Tarng, Chin-Long Wey

Sensors, 2019

Quality Evaluation via PPG on the AVFs of Hemodialysis Patients Based on Both Blood Flow Volume and Degree of Stenosis.

Pei-Yu Chiang, Paul C.-P. Chao, Tse-Yi Tu, Yung-Hua Kao, Chih-Yu Yang, Der-Cherng Tarng, Chin-Long Wey, Duc Huy Nguyen

Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019

2018

A Portable, Wireless Photoplethysomography Sensor for Assessing Health of Arteriovenous Fistula Using Class-Weighted Support Vector Machine.

Paul C.-P. Chao, Pei-Yu Chiang, Yung-Hua Kao, Tse-Yi Tu, Chih-Yu Yang, Der-Cherng Tarng, Chin-Long Wey

Sensors, 2018

Estimating Blood Pressure via Artificial Neural Networks Based on Measured Photoplethysmography Waveforms.

K. N. G. Priyanka, Paul C.-P. Chao, Tse-Yi Tu, Yung-Hua Kao, Ming-Hua Yeh, Rajeev Pandey, Fitrah P. Eka

Proceedings of the 2018 IEEE SENSORS, New Delhi, India, October 28-31, 2018, 2018

2016

A new cuffless optical sensor for blood pressure measuring with self-adaptive signal processing.

Yung-Hua Kao, Paul C.-P. Chao, Tse-Yi Tu, Keng-Yueh Chiang, Chin-Long Wey

Proceedings of the 2016 IEEE SENSORS, Orlando, FL, USA, October 30 - November 3, 2016, 2016