Use of Signal Processing Methods to Aid in Clinical Decision-Making
Date:
Signal processing methods can be used to obtain information from noninvasive monitoring, such as electrocardiogram (ECG) and photoplethysmogram (PPG). The information gained can be used as input for machine learning methods, which can provide computer-assisted support to clinicians. This presentation discusses applications of signal processing, such as using a wearable device to assess sleep quality, and using multi-lead ECG to aid in risk stratification for sepsis-induced organ dysfunction.
