A Universal Hardware Scheduler for Human Body Signals Acquisition

Embedded systems are becoming extremely important technology in biomedical applications such as automatic clinical analysis and patient monitoring. The proposed device will benefit multilevel end users from collaborative medical diagnostic teams, to the patient private use at home. In this research, for heterogeneous multi-channel human body signals, different sampling rates are identified for each channel, and optimized for best data quality with minimal storage requirement. Performance evaluations show that the speed of the proposed Scheduler-on-Chip (SchoC) is 24% faster than a comparable software-based scheduler. The proposed SchoC reduces the amount of data being acquired by up to 59%, which in turn decreases memory requirements.