Demonstration System for a Low-Power Classification Processor

The purpose of this thesis was to develop a self-contained digital system using an ultra low power classification processor for biomedical sensing applications. The initial application for the system was heartbeat detection. The system consists of an analog input from an amplified microphone, a digital test data input, a programming interface to the processor, and a data output interface. The completed system demonstrates that a useful digital signal processing algorithm can be implemented at the desired low power constraints. Further work will show that these power levels can be achieved using an ambient vibrational source