DESAIN DAN OPTIMASI DENOISING FILTER UNTUK INTEGRASI ECG ANALYZER
DOI:
https://doi.org/10.32722/pt.v16i2.1004Abstract
ABSTRACT
Electro Cardyogram (ECG) is signal that produced by Medical Equipment named Electrocardyograph. Reading and Intepretation of ECG Record used manually by Paramedics as a main tool to diagnose heart abnormality and other disfunction internal body part. ECG Analyzer is digitally reading ECG by electronic. When applied with signal processing and Expert System, it will get accureate reading and intepretationn For ECG Electronic signal processing (such as ECG Analyzer), need Noise-Free ECG Signal. For this purpose, Denoising Filter as pre conditioning signal processing strongly recommend.
Purpose of this paper is to get denoising filter (Transfer Function and Electronic Circuit). This Result can be integrated with ECG Analyzer in the future. Approach for denoising filter design in this paper using Butterworth Approximation (s-domain). To get ideal coefficient of Denoising Filter, this paper used Particle Swarm Optimization (PSO) as Optimization iteration. Matlab used for Filter Design and Optimization. Proteus applied for Electronic Circuit Simulation. ECG Offline Data tested as sample input to see the response. As a result, already got Transfer Function and Electronic Circuit Prototype as per ECG Free-Noise requirement.
Keywords : Electro Cardio Gram (ECG), Denoising Filter, Analog Filter, Particle Swarm Optimization
ABSTRAK
Sinyal ECG (Electro Cardiogram) adalah sinyal yang dihasilkan Peralatan Medis yang bernama Electrocardyograph. Bacaan dan Intepretasi record ECG secara manual, digunakan sebagai alat bantu utama paramedis dalam mendiagnosa ketidaknormalan jantung dan organ tubuh yang lain. ECG Analyzer adalah digitalisasi bacaan ECG secara elektronik. Dimana melalui pengolahan sinyal (Signal processing) dan Algoritma Expert System, nantinya akan didapat intepretasi bacaan yang akurat. Untuk analisa bacaan sinyal ECG secara elektronik (ECG Analyzer), diperlukan sinyal ECG yang bebas derau (noise). Untuk keperluan itu, diperlukan blok denoising filter yang merupakan pre-conditioning sinyal elektronik.
Tujuan riset ini adalah untuk mendapatkan denoising filter berupa Transfer Function dan rangkaian elektronik teroptimasi. Yang bisa digunakan selanjutnya untuk pengintegrasian dengan ECG Analyzer. Pendekatan untuk desain denoising filter ini adalah Aproksimasi Analog (Butterworth Approximation). Sedang untuk optimasi (mendapatkan koefisien koefisien filter ideal) digunakan algoritma optimasi Particle Swarm Optimization (PSO). Digunakan Matlab untuk desain dan optimasi Denoising Filter dan Proteus untuk simulasi electronic circuitnya. Data ECG Offline diujikan sebagai sample input. Dari desain dan optimasi akhir telah didapat Transfer Function dan prototype rangkaian elektronika analog yang bebas noise dan siap untuk diintegrasikan dengan ECG Analyzer baik secara analog maupun digital nantinya
Kata kunci: Electro Cardio Gram (ECG), Filter Denoising, Filter Analog, Optimasi Penyebaran Partikel
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