- Analyzed chest-worn ECG and acceleration data from wearable physiological studies.
- Performed ECG filtering, R-wave detection, R-R interval correction, and HRV feature generation.
- Calibrated and reoriented 3D acceleration data for posture/activity classification.
- Supported wearable-data feature extraction for environmental stress and fall-risk/frailty modeling.
Work evidence
Data Analyst
Built a foundation in noisy human wearable data, ECG/HRV feature extraction, accelerometer calibration, labeling, and predictive modeling support.
iCAMP Research Group, University of Arizona · Sep 2014 – Jan 2017
Role focusEarly physiological-sensing role focused on chest-worn ECG/accelerometer data, environmental stress, fall-risk/frailty studies, calibration, labeling, and prediction workflows.
Projects1 documented projects
Responsibilities
What this role covered.
Achievements
Evidence from the work.
- Extracted ECG, HRV, posture, and activity features from 800+ hours of chest-worn wearable data across 31 subjects.
- Built wearable physiological-data workflows spanning filtering, feature generation, calibration, labeling, and prediction support.
Technical range
Tools, systems, and engineering areas.
Physiological sensingECG / HRVAccelerometersData labelingCalibrationFeature engineeringPrediction workflowsTime-series analysis
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