The BSN application and realization of FPGA system with a rapid signal compression algorithm

Abstract

In recent years, with the rapid progressing of the healthcare technology and the increasing of public demand for personal health management, there's a great evolution of the IOT (Internet of Things) in the world [1]. As a special branch of the IOT and the wireless sensor network [2], BSN has been widely employed in the Abstr act. The applications of BSN (Body Sensor Network) require the wearable computing system's power consumption as low as possible. Compared to other components, the wireless communication link is the most power demanding part of the BSN. While effective compression algorithm can sharply cut the data volume down and then reduce the wireless transmitting consumption. Based on this consideration, we studied the improved rapid LADT (Linear Approximation Distance Threshold) algorithm and develop a BSN platform based on FPGA (FieldProgrammable Gate Array) to detect process, compress, record and transmit the ECG (Electrocardiograph) signals. Experiments showed that the improved rapid LADT algorithm can reduce the total number of occupied slices in FPGA system and efficiently compress signal data without change the feature of the ECG signals.