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Michael Cho
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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.
Honored by Vice Chancellor for Academic Affairs
Recognized by Vice Chancellor Sharon Jones for fellowship achievements at the University of Washington Bothell Student Academic Showcase.
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