Maulana, Rizal (2014) Removing Motion Artifact from Heart Rate Signal of Photoplethysmography Using Active Noise Cancellation. Magister thesis, Universitas Brawijaya.
Abstract
Penelitian ini ditujukan untuk mengurangi kesalahan yang disebabkan oleh artefak gerak dalam sistem deteksi detak jantung yang akan diterapkan di perangkat yang dapat dipakai. Sinyal detak jantung diperoleh dengan menggunakan sensor photoplethysmography (PPG). Sensor PPG yang kami rancang terdiri dari modulator PWM, LED inframerah, resistor dependen ringan (LDR), demodulator, filter lintasan tinggi, filter low-pass, dan rangkaian amplifikasi. Fur rmore, sensor accelerometer 3-axis digunakan untuk merasakan gerakan tubuh di situs sensor PPG. Output sensor accelerometer mungkin memiliki korelasi yang cukup besar dengan artefak gerak dalam sinyal denyut jantung. Kedua sinyal detak jantung PPG dan sinyal output accelerometer disampel dan digital melalui sistem akuisisi data komputer pribadi. Pengurangan artefak gerak dan deteksi detak jantung dilakukan oleh program Matlab di komputer. Mengambil sinyal output accelerometer sebagai sinyal referensi, algoritma pembatalan kebisingan aktif (ANC) pulih sinyal detak jantung yang rusak dari artefak gerak. Kinerja pembatalan kebisingan aktif dievaluasi menggunakan sabuk detak jantung komersial sebagai standar emas. Kesalahan deteksi detak jantung dari sistem kami adalah 3,52% dengan gerakan kecil, 8,81% dengan gerakan besar, dan 4,32% dengan gerakan 1-Hz. Hasil percobaan kami membuktikan bahwa metode pembatalan kebisingan aktif cocok untuk menghilangkan artefak gerak dari sinyal detak jantung bahkan jika ada tumpang tindih antara spektrum artefak gerak dan sinyal denyut jantung.
English Abstract
This research was aimed at reducing error caused by motion artifacts in a heart rate detection system to be applied in wearable devices. heart rate signal was obtained by using photoplethysmography (PPG) sensor. PPG sensor we designed consists of a PWM modulator, an infrared LED, a light dependent resistor (LDR), a demodulator, a high-pass filter, a low-pass filter, and an amplification circuit. Fur rmore, a 3-axis accelerometer sensor was used to sense body motion at PPG sensor site. output of accelerometer sensor may have a considerable correlation with motion artifact in heart rate signal. Both PPG heart rate signal and accelerometer output signal were sampled and digitized through a data acquisition system of a personal computer. reduction of motion artifact and heart rate detection were conducted by MATLAB program in computer. Taking accelerometer output signal as reference signal, an active noise cancellation (ANC) algorithm recovered corrupted heart rate signal from motion artifact. performance of active noise cancellation is evaluated using a commercial heart-rate belt as golden standard. heart rate detection error of our system is 3.52% with a small motion, 8.81% with a big motion, and 4.32% with a 1-Hz motion. result of our experiments proves that active noise cancellation method is suitable for removing motion artifact from heart rate signal even if re is overlapping between spectra of motion artifact and heart rate signal.
| Item Type: | Thesis (Magister) |
|---|---|
| Identification Number: | TES/621.381 542/MAU/r/041408106 |
| Subjects: | 600 Technology (Applied sciences) > 621 Applied physics > 621.3 Electrical, magnetic, optical, communications, computer engineering; electronics, lighting |
| Divisions: | S2/S3 > Magister Teknik Elektro, Fakultas Teknik |
| Depositing User: | Endro Setyobudi |
| Date Deposited: | 09 Jan 2015 10:31 |
| Last Modified: | 09 Jan 2015 10:31 |
| URI: | http://repository.ub.ac.id/id/eprint/158676 |
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