Making sense of personal data in clinical settings

This contribution addresses clinical data, but acquired outside hospital walls, to improve the quality of care and/or to reduce the cost of healthcare delivery. Such data must meet the clinical quality requirements for one to leverage current best practices with minimal changes to clinical workflows. We present signal-processing solutions for acquiring electrocardiogram (ECG) signals outside hospital walls and validate them against current gold standards in clinical settings. We show that the proposed approaches enable wired ECG quality and resting state ECG quality in the presence of packet losses and motions artifacts, with low sensor power to enable wearable form factors.