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Sandi Wibowo

Showing results (1-10 of 8) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Accurate Ventricular Tachyarrhytmia Beats Detection on Low Sample Rate ECG Patch Signals Using 1D U-NetRadit Smunyahirun, Sandi Wibowo, Chen Hao
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Compressive Sampling Based Multi-Spectrum Deep Learning for Sub-Nyquist Pacemaker ECG AnalysisChen Hao, Sandi Wibowo, Kuldeep Singh Rajput
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Spectro-Temporal Feature Based Multi-Channel Convolutional Neural Network for ECG Beat ClassificationChen Hao, Sandi Wibowo, Maulik Majmudar, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Use of Wearable Sensor Device and Mobile Application for Objective Assessment of Pain in Post-surgical Patients: A Preliminary StudySandi Wibowo, Wei Liang Chaw, Chris Wilson Antuvan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Automatic assessment of patient eligibility by utilizing NLP and rule-based analysisPyae Phyo Tun, Jiawen Luo, Jiecheng Xie, et al.
Journal of Cardiac Failure|March 23, 2025
A Digital Platform to Optimize Guideline-Directed Heart Failure Therapy: Rationale and Design of the AIM-POWER TrialAdam D Devore, Jiecheng Xie, Leigh Etters, et al.
Scientific Reports|February 24, 2021
Observational study on wearable biosensors and machine learning-based remote monitoring of COVID-19 patientsKa-Chun Un, Chun-Ka Wong, Yuk-Ming Lau, et al.
European Heart Journal. Digital Health|January 30, 2023
Daily ambulatory remote monitoring system for drug escalation in chronic heart failure with reduced ejection fraction: pilot phase of DAVID-HF studyChun Ka Wong, Ka Chun Un, Mi Zhou, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Accurate Ventricular Tachyarrhytmia Beats Detection on Low Sample Rate ECG Patch Signals Using 1D U-NetRadit Smunyahirun, Sandi Wibowo, Chen Hao
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Compressive Sampling Based Multi-Spectrum Deep Learning for Sub-Nyquist Pacemaker ECG AnalysisChen Hao, Sandi Wibowo, Kuldeep Singh Rajput
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Spectro-Temporal Feature Based Multi-Channel Convolutional Neural Network for ECG Beat ClassificationChen Hao, Sandi Wibowo, Maulik Majmudar, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Use of Wearable Sensor Device and Mobile Application for Objective Assessment of Pain in Post-surgical Patients: A Preliminary StudySandi Wibowo, Wei Liang Chaw, Chris Wilson Antuvan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Automatic assessment of patient eligibility by utilizing NLP and rule-based analysisPyae Phyo Tun, Jiawen Luo, Jiecheng Xie, et al.
Journal of Cardiac Failure|March 23, 2025
A Digital Platform to Optimize Guideline-Directed Heart Failure Therapy: Rationale and Design of the AIM-POWER TrialAdam D Devore, Jiecheng Xie, Leigh Etters, et al.
Scientific Reports|February 24, 2021
Observational study on wearable biosensors and machine learning-based remote monitoring of COVID-19 patientsKa-Chun Un, Chun-Ka Wong, Yuk-Ming Lau, et al.
European Heart Journal. Digital Health|January 30, 2023
Daily ambulatory remote monitoring system for drug escalation in chronic heart failure with reduced ejection fraction: pilot phase of DAVID-HF studyChun Ka Wong, Ka Chun Un, Mi Zhou, et al.
Pageof 1