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Michael Cho
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Seismocardiography Pig Hypovolemia Dataset for Signal Quality Indexing and Validated Cardiac Timings
Nature Scientific Data publication. This study introduces a validated dataset porcine seismocardiogram heartbeats, expertly annotated for cardiac timings and signal quality to benchmark non-invasive monitoring. These high-quality labels address a critical data scarcity, enabling the training of supervised deep learning models to automate signal denoising, feature extraction, and fiducial point detection.
IEEE Body Sensor Networks Presentation Los Angeles
Presented research on the quantification of opioid withdrawal through seismocardiogram variability from wearable CardioTag devices.
Quantifying Opioid Withdrawal through Cardio-mechanical Variability using Multi-modal Wearable Sensors
IEEE BSN conference. This study demonstrates a significant correlation between cardio-mechanical variability (SCG signals) and subjective withdrawal severity, proposing a new objective biomarker for monitoring recovery.
Seven ECE Graduates Receive NSF Research Fellowship
Featured in an article by Georgia Tech's School of Electrical and Computer Engineering highlighting the recipients of the prestigious NSF Research Fellowship.
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