Sistem Monitoring Tekanan Darah Menggunakan Dual Radar Continuous Wave (CW)

Candraningtyas, Giovanni Aisyah Putri (2026) Sistem Monitoring Tekanan Darah Menggunakan Dual Radar Continuous Wave (CW). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Tekanan darah merupakan salah satu parameter vital sign yang mencerminkan kondisi sistem kardiovaskular dan hemodinamik tubuh. Menurut World Health Organization (WHO), pada tahun 2024 sekitar 1,4 miliar orang dewasa berusia 30–79 tahun di seluruh dunia hidup dengan hipertensi, namun hanya 21% yang memiliki tekanan darah terkontrol. Kondisi ini menunjukkan perlunya sistem pemantauan tekanan darah yang akurat, nyaman, dan dapat digunakan secara berkelanjutan. Perangkat pengukur tekanan darah konvensional masih memiliki keterbatasan karena memerlukan kontak langsung dengan tubuh, kurang nyaman untuk penggunaan jangka panjang, serta kurang sesuai pada kondisi klinis tertentu. Oleh karena itu, penelitian ini bertujuan mengembangkan sistem pemantauan tekanan darah non-kontak berbasis Dual Radar Continuous Wave (CW). Sinyal in-phase (I) dan quadrature (Q) dari radar diproses menggunakan Adaptive Gain Control (AGC) dan bandpass filter bank untuk mengekstraksi sinyal detak jantung. Setelah proses peak detection, nilai Pulse Transit Time (PTT) dihitung berdasarkan selisih waktu antara sinyal heartbeat yang diperoleh dari radar dada dan radar pergelangan tangan. Nilai PTT kemudian digunakan bersama Heart Rate (HR) sebagai masukan model machine learning untuk mengestimasi tekanan darah sistolik (SBP) dan diastolik (DBP). Sistem dievaluasi pada 23 subjek dengan total 101 trial pengukuran. Hasil evaluasi menunjukkan bahwa konfigurasi terbaik diperoleh menggunakan metode peak-to-peak, windowing 30 detik, dan model Random Forest dengan Mean Absolute Error (MAE) sebesar 4,08 mmHg untuk SBP dan 2.78 mmHg untuk DBP. Hasil tersebut menunjukkan bahwa sistem dual radar CW yang dikembangkan memiliki potensi sebagai solusi pemantauan tekanan darah non-kontak yang akurat, nyaman, higienis, dan mendukung pemantauan kontinu pada lingkungan klinis maupun homecare.
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Blood pressure is one of the vital signs that reflects the condition of the cardiovascular and hemodynamic systems. According to the World Health Organization (WHO), in 2024 approximately 1.4 billion adults aged 30–79 years worldwide were living with hypertension, yet only 21% had their blood pressure under control. This condition highlights the need for a blood pressure monitoring system that is accurate, comfortable, and suitable for continuous use. Conventional blood pressure measurement devices still have several limitations, as they require direct contact with the body, are less comfortable for long-term monitoring, and may be unsuitable for certain clinical conditions. Therefore, this study aims to develop a non-contact blood pressure monitoring system based on dual Continuous Wave (CW) radar. The radar in-phase (I) and quadrature (Q) signals were processed using Adaptive Gain Control (AGC) and a bandpass filter bank to extract heartbeat signals. After the peak detection process, Pulse Transit Time (PTT) was calculated based on the time difference between the heartbeat signals obtained from the chest radar and the wrist radar. The PTT values, together with Heart Rate (HR), were then used as inputs to machine learning models to estimate systolic blood pressure (SBP) and diastolic blood pressure (DBP). The proposed system was evaluated on 23 subjects with a total of 101 measurement trials. The evaluation results showed that the best performance was achieved using the peak-to-peak method, 30-second windowing, and the Random Forest model, yielding a Mean Absolute Error (MAE) of 4.08 mmHg for SBP and 2.78 mmHg for DBP. These results demonstrate that the developed dual CW radar system has strong potential as an accurate, comfortable, hygienic, and non-contact solution for continuous blood pressure monitoring in both clinical and homecare environments.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	pemantauan tekanan darah non-kontak; hipertensi; radar CW; Pulse Transit Time; detak jantung; non-contact blood pressure monitoring; hypertension; CW radar; Pulse Transit Time; heartbeat
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5102.9 Signal processing.
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Biomedical Engineering > 11410-(S1) Undergraduate Thesis
Depositing User:	Giovanni Aisyah Putri Candraningtyas
Date Deposited:	30 Jul 2026 02:24
Last Modified:	30 Jul 2026 02:24
URI:	http://repository.its.ac.id/id/eprint/140247

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