Kartika, Raihan (2024) Rancang Bangun Wearable Continuous Wave Radar Untuk Deteksi Detak Jantung dan Laju Pernapasan Dengan Metode Empirical Mode Decomposition Guna Mengurangi Motion Artifact. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Detak jantung dan laju pernapasan merupakan parameter tanda vital yang penting dalam proses diagnosis medis. Saat ini, metode pemantauan tanda – tanda vital yang umum digunakan seperti elektrokardiogram serta respiration belt memiliki keterbatasan, seperti ketidaknyamanan pada subjek dan ketergantungan pada adanya kontak fisik dengan subjek. Radar telah terbukti dapat mengukur detak jantung dan laju pernapasan tanpa kontak langsung dengan subjek, namun metode ini masih memiliki kendala dalam interfensi dari pergerakan yang tidak diinginkan dan menghasilkan motion artifact. Penelitian ini bertujuan merancang sistem radar wearable untuk mengukur detak jantung dan laju pernapasan dengan meminimalkan motion artifact menggunakan metode Empirical Mode Decomposition. Sistem ini menggunakan Continuous Wave Radar dengan frekuensi 24 GHz yang diletakkan pada dada subjek untuk mendeteksi pergerakan yang diakibatkan oleh siklus pernapasan dan detak jantung. Data yang dihasilkan diolah menggunakan metode arctangent demodulation untuk mendapatkan informasi perubahan fasa, kemudian difiltrasi menggunakan Savitzky-Golay filter, dan selanjutnya didekomposisi menggunakan Empirical Mode Decomposition untuk memisahkan sinyal yang mengandung informasi vital dari noise. Pengujian dilakukan dengan skenario pengambilan data melibatkan subjek duduk diam, menggerakkan kaki, dan berjalan di tempat untuk mengidentifikasi motion artifact. Hasil pengujian menunjukkan bahwa sistem radar wearable ini mampu mengukur detak jantung dan laju pernapasan dengan nilai error yang dapat diterima. Hasilnya menunjukkan bahwa motion artifact dapat diminimalkan secara signifikan dengan penggunaan Empirical Mode Decomposition, yang efektif dalam memisahkan sinyal detak jantung dan laju pernapasan dari noise. Pengujian ini mengkonfirmasi bahwa sistem ini dapat digunakan sebagai alat ukur non-kontak yang efektif untuk deteksi tanda vital, serta mampu mengurangi motion artifact yang mengganggu akurasi pengukuran.
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Heart rate and respiration rate are critical vital signs in the medical diagnostic process. Currently, commonly used vital sign monitoring methods, such as electrocardiograms and respiration belts, have limitations, such as discomfort for the subject and dependency on physical contact with the subject. Radar has been proven to measure heart rate and respiration rate without direct contact with the subject, but this method still faces challenges with interference from unwanted movements, resulting in motion artifacts. This study aims to design a wearable radar system to measure heart rate and respiration rate while minimizing motion artifacts using the Empirical Mode Decomposition method. This system uses a Continuous Wave Radar with a frequency of 24 GHz placed on the subject's chest to detect movements caused by the breathing and heart rate cycles. The data generated is processed using the arctangent demodulation method to obtain phase change information, then filtered using a Savitzky-Golay filter, and subsequently decomposed using Empirical Mode Decomposition to separate vital sign signals from noise. Testing involved data collection scenarios with the subject sitting still, moving a leg, and walking in place to identify motion artifacts. The test results show that this wearable radar system can measure heart rate and respiration rate with acceptable error values. The results indicate that motion artifacts can be significantly minimized with the use of Empirical Mode Decomposition, which is effective in separating heart rate and respiration rate signals from noise. This testing confirms that the system can be used as an effective non-contact measurement tool for detecting vital signs and can reduce motion artifacts that interfere with measurement accuracy.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Empirical Mode Decomposition, Motion Artifact, Radar, Tanda Vital, Vital Sign |
| Subjects: | T Technology > T Technology (General) > T59.7 Human-machine systems. T Technology > TA Engineering (General). Civil engineering (General) > TA1573 Detectors. Sensors T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5102.9 Signal processing. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK6564 Radio transmitter-receivers T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7878 Electronic instruments |
| Divisions: | Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Biomedical Engineering > 11410-(S1) Undergraduate Thesis |
| Depositing User: | Raihan Kartika |
| Date Deposited: | 27 Aug 2024 05:56 |
| Last Modified: | 27 Aug 2024 05:56 |
| URI: | http://repository.its.ac.id/id/eprint/112770 |
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