Taebi Lab
At Taebi Lab, we are committed to developing cutting-edge sensing systems and computational methods for early noninvasive diagnosis and personalized treatment of cardiovascular diseases, with a focus on health equity. These medical conditions continue to claim lives at an alarming rate, with one death every 34 seconds in the United States alone. With timely diagnoses facilitated by our innovative methods, patients will receive earlier referrals to medical teams, leading to improved outcomes and a higher quality of life. Our research primarily centers on the analysis of body vibrations, with the aim of transforming our solutions into powerful bedside or cost-effective home monitoring tools through close collaboration with clinical and industrial partners. Our ultimate goal is to reduce mortality rates, optimize medical therapy, reduce hospital stays, and improve the lives of patients affected by cardiovascular diseases.
TaebiLab Podcast, Ep 09: MSCardio seismocardiography dataset
TaebiLab Podcast, Ep 08: Computational Modeling of Cardiovascular‐Induced Chest Vibrations
TaebiLab Podcast, Ep 07: Assessing hemodynamic changes in cerebral aneurysms post coil embolization
TaebiLab Podcast, Ep 06: From video to vital signs | a new method for contactless multichannel SCG
How are critical congenital heart diseases diagnosed?
What are critical congenital heart diseases?
TaebiLab Podcast, Ep 05: Variation of SCG-Derived Cardiac Time Intervals and HRV Across the Sternum
TaebiLab Podcast, Ep 04: Variations of Middle Cerebral Artery Hemodynamics Due to Aneurysm Clipping
TaebiLab Podcast, Ep 03: Deep Learning for Computational Hemodynamics - A Review of Recent Advances
Extracting Cardiovascular-Induced Chest Vibrations from Ordinary Chest Videos: A Comparative Study
Parent-Centered Design: A Preliminary Usability Study on Newborn Home Cardiac Monitoring
TaebiLab Podcast, Ep 02: Body acoustics for noninvasive diagnosis of medical conditions
TaebiLab Podcast, Ep 01: Non-contact heart vibration measurement via vision-based seismocardiography
Toward personalized assistive robotics: How to give robots human-like intuitions about movements
Engagement-free and Continuous Health and Activity Monitoring via Passive Seismic Sensing
Data-driven and physics-based approaches to develop predictive models for cardiovascular diseases
Wearable Acoustic & Vibration Sensing and Machine Learning for Human Health & Performance
Intelligent Critical Care: Opportunities & Challenges
Population Coding in the Cerebellum
Patient-Specific Modeling for Virtual Treatment Planning in Cardiovascular Disease
Daily variations of brain connectivity patterns: A graph-based analysis
Seismocardiography - Machine Learning for Variability Reduction and Improved Cardiac Monitoring
یک مصاحبه خوب برای پروسه اپلای از عینک یک استاد دانشگاه
یک رزومه خوب برای پروسه اپلای از عینک یک استاد دانشگاه
ایمیل زدن به اساتید - اشتباهات متداول در پروسه اپلای از عینک یک استاد دانشگاه
اپلای کردن - اشتباهات متداول از عینک یک استاد دانشگاه
0D modeling of valves in the cardiovascular system
Synapse and transduction - Nervous system
Neuron anatomy - Dendrite, cell body, axon, and terminal
Action Potential - The role of sodium channels, potassium channels, and sodium-potassium pumps