Live demonstration: A support vector machine based hardware platform for blood pressure prediction

In this demonstration, a cuffless blood pressure prediction device using photoplethysmography (PPG) and electrocardiogram (ECG) as inputs is presented. The system implemented a support vector machine (SVM) based prediction model in a heterogeneous DSP and FPGA platform. In the system, the complicated data pre-processing tasks are implemented in a Digital Signal Processor TMDX5535EXDSP. The SVM prediction model is implemented as a hardware accelerator in an Artix-7 FPGA. To verify the model performance and observe the results, we also develop a software GUI for the platform. The users can observe their estimated blood pressures and heart rate on the OLED screen in FPGA board, and the corresponding PPG and ECG waveforms in a desktop PC.