Arrhythmia Classification Using Reconfigurable All-Pass Filter in FPGA Devices.

A Field Programmable Gate Array (FPGA) is a semiconductor device based around a Configurable Logic Blocks (CLB) matrix connected by programmable interconnects. FPGA has numerous applications in biomedical signal processing due to its flexible programming and low power consumption. An Electrocardiogram (ECG) is a medical test used to determine heart rates, cardiac activity, and classify arrhythmias. All pass filters have Low Pass Filter (LPF), High Pass Filter (HPF), Band Stop Filter (BSF), and Band Pass Filter (BPF) to produce the exact amplitude in peak detection. However, the separate coefficient for individual filters increases the area in traditional all-pass filters. To overcome this issue, a Reconfigurable All-Pass Filter (RAPF) which considers a single coefficient for all filters and minimizes memory usage, consuming less area and power is employed. The LPF coefficient is utilized to perform the LPF operation, and then the two's complement of this LPF coefficient is computed to produce the HPF coefficient. Next, the two's complement is fed into the Hilbert Transform (HT) to produce the BSF coefficient and determine BSF operations. A RAPF is designed to perform these operations effectively. The RAPF performance is determined using Register, Look Up Table (LUT), Global Buffer (BUFG), Digital Signal Processing (DSP), Power, and Flip Flop (FF). RAPF consumes lesser power of 34 mW for Artix 7 XC7A200TFBG676-2 FPGA device, as opposed to the existing technique, Single Node Reservoir Computing (SNRC) using cumulative mean filter. [ABSTRACT FROM AUTHOR]