Prototyping an End-to-End Multi-Modal Tiny-CNN for Cardiovascular Sensor Patches

ArXi:2510.18668v2 Announce Type: replace The vast majority of cardiovascular diseases may be preventable if early signs and risk factors are detected. Cardiovascular monitoring with body-worn sensor devices like sensor patches allows for the detection of such signs while preserving the freedom and comfort of patients. However, the analysis of the sensor data must be robust, reliable, efficient, and highly accurate. Deep learning methods can automate data interpretation, reducing the workload of clinicians.