Nainggolan, Tia Yohana (2026) Analisis Piezoelectric Crystal Dalam Akuisisi Electrocardiogram Menggunakan Algoritma Symbiotic Organism Search Untuk Sistem Pemantauan Kardiovaskular Multimodal. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Penyakit kardiovaskular adalah penyebab utama mortalitas di seluruh dunia, sehingga menuntut adanya teknologi diagnosis dini dan pemantauan yang andal. Penelitian ini bertujuan untuk mengembangkan sebuah sistem pemantauan kardiovaskular multimodal yang mengintegrasikan sinyal elektrokardiogram (ECG), fonokardiogram (PCG), dan denyut arteri karotis secara simultan. Inovasi utama sistem ini terletak pada pemanfaatan sensor berbasis piezoelectric crystal, yaitu kristal kuarsa untuk akuisisi ECG yang sangat sensitif dan stabil. Untuk meningkatkan kualitas sinyal dan menentukan frekuensi operasional optimal, penelitian ini mengimplementasikan algoritma optimasi Symbiotic Organism Search (SOS). Hasil penelitian menunjukkan bahwa algoritma SOS berhasil menentukan frekuensi resonansi optimal untuk sensor Quartz Piezoelectric Crystal (QPC) pada 16,000 Hz dengan nilai combined fitness sebesar 0,764. Sistem pemantauan multimodal telah berhasil dibangun dan mampu mengintegrasikan tiga kanal akuisisi secara simultan melalui antarmuka website yang menampilkan data secara real-time. Namun, evaluasi menunjukkan bahwa kemiripan antara sinyal ECG dari QPC dengan elektroda standar tergolong rendah (0,019–0,028) karena perbedaan prinsip transduksi antara aktivitas listrik dan getaran mekanis. Selain itu, pengujian rangkaian mengungkap adanya penyimpangan pada nilai penguatan dan frekuensi cut-off, sehingga morfologi sinyal hasil akuisisi belum sepenuhnya menampilkan pola fisiologi asli.
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Cardiovascular disease is the leading cause of mortality worldwide, necessitating reliable early diagnosis and monitoring technologies. This study aims to develop a multimodal cardiovascular monitoring system that integrates Electrocardiogram (ECG), Phonocardiogram (PCG), and carotid artery pulse signals simultaneously. The system's key innovation lies in the use of piezoelectric crystal-based sensors, specifically quartz crystals, for highly sensitive and stable ECG acquisition. To improve signal quality and determine the optimal operational frequency, this study implements the Symbiotic Organism Search (SOS) optimization algorithm. The results show that the SOS algorithm successfully determined the optimal resonance frequency for the Quartz Piezoelectric Crystal (QPC) sensor at 16.000 Hz with a combined fitness value of 0.764. The multimodal monitoring system was successfully built and can integrate three acquisition channels simultaneously through a website interface that displays real-time data. However, evaluations indicate that the similarity between the ECG signal from the QPC and the standard electrode is low (0.019–0.028) due to the difference in transduction principles between electrical activity and mechanical vibration. Additionally, circuit testing revealed deviations in gain values and filter cut-off frequencies, resulting in acquired signal morphologies that do not yet fully represent original physiological patterns.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | ECG, Pemantauan Kardiovaskular, Piezoelectric Crystal, Sistem Multimodal, Symbiotic Organism Search, Cardiovascular Monitoring, ECG, Multimodal System, Piezoelectric Crystal, Symbiotic Organism Search |
| Subjects: | Q Science > QA Mathematics > QA402.5 Genetic algorithms. Interior-point methods. Q Science > QA Mathematics > QA9.58 Algorithms R Medicine > RC Internal medicine > RC683.5.E5 Electrocardiography R Medicine > RC Internal medicine > RC78 Diagnosis, Radioscopic--Examinations, questions, etc. |
| Divisions: | Faculty of Vocational > Instrumentation Engineering |
| Depositing User: | Tia Yohana Nainggolan |
| Date Deposited: | 06 Aug 2026 07:21 |
| Last Modified: | 06 Aug 2026 07:22 |
| URI: | http://repository.its.ac.id/id/eprint/144180 |
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