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Design of a nearly linear-phase IIR filter and JPEG compression ECG signal in real-time system

Bui Interdisciplinary Program of Biomedical Mechanical and Electrical Engineering, Pukyong National University, Busan, 48513, South Korea|
Junghwan (55730193800) | Byung-Gak (57205689950); Oh | Yeon-Hee (57211890653); Kim | Thi Mai Thien (57209102964); Kang | Jaeyeop (57205687978); Vo College of Future Convergence, Pukyong National University, Busan, 48513, South Korea| Sumin (57216209599); Choi (BK21 Plus) Marine-Integrated Biomedical Technology Program, Pukyong National University, Busan, 48513, South Korea| Thi My Tien (57220036501); Park Department of Biomedical Engineering, Pukyong National University, Busan, 48513, South Korea| Ngoc Thang (57213994140); Nguyen Department of Pediatrics at the Hospital for Tropical Diseases, 764 Vo Van Kiet Street, Ward 1, District 5, Ho Chi Minh City, Viet Nam|

Biomedical Signal Processing and Control Số , năm 2021 (Tập 67, trang -)

ISSN: 17468094

ISSN: 17468094

DOI: 10.1016/j.bspc.2021.102431

Tài liệu thuộc danh mục:

Article

English

Từ khóa: Adaptive algorithms; Biomedical signal processing; Digital storage; Electrocardiography; Firmware; Image compression; Impulse response; Interactive computer systems; Microcontrollers; One dimensional; Personal computers; Real time systems; Software testing; Compression algorithms; Data transmission time; Electrocardiogram signal; Infinite impulse response; Joint photographic experts group; Linear phase IIR filters; Microprocessor platforms; One dimensional signal; algorithm; Article; comparative study; controlled study; data compression; data processing; electrocardiogram; heart rate; human; lossless compression; lossy compression; muscle contraction; operation duration; power supply; priority journal; processing speed; IIR filters
Tóm tắt tiếng anh
This paper presents the design of an Electrocardiogram (ECG) signal acquisition system based on 32-bit microprocessor platform. In hardware design, we present a complete design similar to the wearable devices used to monitor heart rates over the long term. The firmware is applied by an adaptive data compression method to increase storage space and reduces data transmission time between hardware devices and personal computer (PC). This adaptive algorithm is a combination of Joint Photographic Experts Group (JPEG) compression. The ECG signal was applied to the nearly-linear infinite impulse response (IIR) filter to eliminate noise from ECG signals. There are advantages of nearly-linear IIR filter over traditional IIR that the signal pass through filter is not distorted. Improvements in the JPEG compression algorithm make them suitable for one dimensional signals with a resolution greater than 8 bits and optimize the operation of the Huffman compression as well as the microcontroller unit (MCU) system with low processing speed. Placing the IIR filter at the end of the system promotes the ability to filter while reducing signal distortion after the decompression process. We tested the system with 8 records from the MIT/BIH cardiac arrhythmic database before and after we applied the compression algorithm to the firmware and software in the system that shows the effectiveness of these algorithms. The test results show that the system reached a maximum compression ratio of 8,8. The system deployed on the 32bit MCU (PIC32MZ2048), ECG analog front-end ADS1293 and operation time of ECG device up to 110 h (4.5 days). � 2021

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