Taipei Medical University

Medical Electronic Devices & Biosensors Lab

Yen-Ling Sung
https://debbysong20000.wixsite.com/website

Research Field

Medical Engineering

Introduction

Dr. Yen-Ling Sung received the B.S. degree from the Department of Biotechnology, Kaohsiung Medical University, Kaohsiung, Taiwan, in 2014, and the Ph.D. degree from the Department of Electrical and Computer Engineering, National Chiao Tung University, in 2020. She served as a Postdoctoral researcher at National Taiwan University Hosptial Hsinchu Branch, Hsinchu, Taiwan and Department of Cardiology, Cedars Sinai Medical Center, Los Angeles, California, USA.

Our research interests include biomedical device, biosensor, biomaterials, optogenetic therapy, and cardiac electrophysiology.


Research Topics
  • Cardiac chips for tumor-induced arrhythmias in oncocardiology
  • Implanted device and ECG/EEG/SKNA monitoring
  • Innovative depression prediction and treatment
  • Pulmonary embolism detection
  • Optogenetics for arrhythmia
  • Diabetes and obesity SGLT2i
  • Transcranial magnetic stimulation for arrhythmia
  • Sensor development
  • Artificial intelligence (AI) machine learning

Honor
  • 15th Asian Conference on Chemical Sensors (ACCS) (2024 Invited Speaker)
  • 245th ECS Meeting (2024 Invited Speaker)
  • IEEE-NANOMED (2024 Invited Speaker)
  • Postdoctoral Research Abroad Program (2022 Ministry of Science and Technology)
  • Young Investigator Award (2019 Asia Pacific Heart Rhythm Society)

 


Educational Background

Dr. Yen-Ling Sung received the B.S. degree from the Department of Biotechnology, Kaohsiung Medical University, Kaohsiung, Taiwan, in 2014, and the Ph.D. degree from the Department of Electrical and Computer Engineering, National Chiao Tung University, in 2020. 


Job Description

Depending on the intern’s background, tasks may include one or more of the following:

Assist with ex vivo ECG recording and/or Langendorff isolated heart perfusion workflows (setup, calibration, data logging).

Support heart optical mapping using high speed CMOS cameras, including basic signal or image preprocessing and quality checks.

Contribute to wireless ECG monitoring or animal physiological measurement system experiments (protocol adherence, troubleshooting notes).

Perform biosignal analysis (ECG/EEG/SKNA), feature extraction, and basic AI/ML model prototyping for classification or prediction tasks (arrhythmia or related endpoints).

Literature review and weekly reporting of progress, including reproducible code and clean figures for internal discussion.

Preferred Intern Educational Level

Senior undergraduate / Master’s student preferred (Biomedical Engineering, Electrical Engineering, Bioinformatics, Applied Physics, or related fields).

Skill sets or Qualities

Strong initiative, reliable communication, careful data hygiene, and willingness to learn interdisciplinary cardiac electrophysiology workflows.

Job Description

Depending on the intern’s background and training progress, responsibilities may include:

Assisting with Langendorff isolated heart perfusion experiments, including system setup, perfusion monitoring, and basic troubleshooting.

Supporting ex vivo cardiac electrophysiology recordings, such as electrode placement, signal acquisition, and experimental documentation.

Participating in cardiac optical mapping experiments using high-speed CMOS cameras, including dye handling, illumination setup, and image acquisition.

Performing basic signal and image preprocessing, such as filtering, activation time extraction, and quality assessment, under guidance.

Assisting with experimental preparation, reagent handling, equipment calibration, and post-experiment cleanup.

Conducting literature review related to cardiac electrophysiology and summarizing experimental findings in weekly progress reports.

Preferred Intern Educational Level

enior undergraduate or Master’s student preferred, especially from Biomedical Engineering, Life Sciences, Electrical Engineering, Applied Physics, or related disciplines. Applicants with prior laboratory exposure are strongly encouraged.

Skill sets or Qualities

Strong sense of responsibility and laboratory safety

Good communication skills and ability to work within an interdisciplinary research team

Motivation to learn experimental cardiac electrophysiology techniques in a research environment