Strategic Reduction of Area and Power in FIR Filter Architecture for ECG Signal Acquisition

Optimizing Parallel FIR Filter Architecture for Time-Sensitive Applications: A Design Approach for High-Throughput and Area Efficiency

“…Various FIR filter architectures have been developed by researchers to address the issues related to FIR filter design [1][2][3][4], the major huddle in the design of FIR filter is the multiplier unit [5], as the FIR filter needs higher order for near ideal response and hence the computational complexity increases, thereby the number of multipliers required also increases [1,14]. Multiplication is one of the fundamental operations in all DSP applications therefore extra care is to be taken while designing the FIR filter [3,10].…”

“…[4] as compared in case studies 1 -3. The reduction in area metric is observed as dipping in the slice requirement by 31%, 47%, and 110% and dipping in the LUT requirement by 58%, 66%, and 65%, further, the delay metric is improved by 49%, 80%, and 67% when compared with MIMO-based parallel architecture of [1] on the same platforms suggested in [2][3][4] respectively.…”

“…The multiplier dependency on the change in the level of parallelism is eliminated as no duplication of resources is required in the proposed design; further, with the use of symmetric coefficients, the multiplier requirement can be reduced by half the number of the multiplier as required originally. The impact of the proposed parallel FIR filter architecture is measured with conventional MIMO-based parallel architecture [1] and the benchmark existing studies [2][3][4] on a uniform FPGA platform under the same conditions as identified in the literature [2][3][4].…”

ASIC implementation of ECG denoising FIR filter by using hybrid Vedic–Wallace tree multiplier

“…5 Such devices are often battery-operated and need to be compact, imposing tight constraints on the area and power consumption of all the sub-system blocks. 6 An ECG wave during a typical cardiac cycle along with the features is shown in Figure 1. As observed from Figure 1, the ECG signals contain a lot of pathological and physiological information which can be interpreted only by the study of its morphological and interval features.…”

“…Therefore, in recent times, interest has grown for out‐of‐the‐hospital continuous ECG monitoring devices 5 . Such devices are often battery‐operated and need to be compact, imposing tight constraints on the area and power consumption of all the sub‐system blocks 6 …”