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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Majalah Forum Teknik UGM Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Ilmiah Tatengkorang Jurnal Teknokes Indonesian Journal of electronics, electromedical engineering, and medical informatics Indonesian Journal of Electrical Engineering and Computer Science International Journal of Advanced Health Science and Technology Frontiers in Community Service and Empowerment Jurnal Teknokes
Endro Yulianto
Jurusan Teknik Elektromedik, Poltekkes Kemenkes Surabaya
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Nursing Public Health Other

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Exploring Digital Filters for Cardiac Monitoring: A Focus on Carotid Pulse and Phonocardiogram Signals Ramadhan, Bahrurrizki; Yulianto, Endro; Luthfiyah, Sari; Caesarendra, Wahyu
Jurnal Teknokes Vol. 17 No. 1 (2024): March
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

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Abstract

Heart defect early detection and correct diagnosis have become important healthcare priorities. Tools for monitoring cardiac problems are constantly being developed, with the PCG (Phonocardiogram) and Cardiac Monitor via Carotid Pulse essential for heart evaluation. Although condenser microphones embedded in electric stethoscopes have been used in past research as PCG sensors, more advancements are still required to reduce received noise. This study investigates how well a Chebyshev type-II digital filter works to reduce noise on the cardiac monitor using PCG and carotid pulse. The PCG sensor is the GY-MAX 9814 module, which is interfaced with an Arduino Uno microcontroller. Matlab, Visual Studio (used as a graph viewer), and Doppler Simulator (used as a phantom cardiac signal) are used. SNR (Signal to Noise Ratio) is used in the analysis to assess the effectiveness of two digital filter orders. The average SNR value for the Doppler Simulator is 0.001404 dB at order 2, however, it climbs dramatically to 18.60023 dB at level 4 according to the results of the SNR analysis. The average SNR value in human signals is 11.50718 dB before the filter, 0.001404 dB after the post-order 2 filter, and 12.0009 dB after the post-order 4 filter. According to the results, the digital filter of order 4 is more effective in reducing noise. This study highlights the possibility of an order 4 digital filter to improve the Cardiac Monitor through PCG and Carotid Pulse. Through enhanced signal quality, the creation of this gadget holds the potential for streamlining the identification of cardiac problems. Future developments in this technology could lead to more precise and trustworthy cardiac exams, which would help with early diagnosis and treatment of cardiovascular health.
Co-Authors ., Sumber Abd Kholiq Abhishek Mishra Ach Jiddan Asrori' Achmad Rizal Adhi Susanto Ahmad Kamil Solihin Ali, Latafat Mikayilzade Andjar Pudji Andri Lazuardi Wahyu Pambudi Anggraeni Dara Pratiwi Anita Miftahul Maghfiroh Aprilina Gayuh Arniningtyas Arifah Putri Caesaria Arniningtyas, Aprilina Gayuh Ashish Bhatt Bahaa Eddine ELBAGHAZAOUI Bambang Guruh Irianto Caesar Febri Nugroho Dimas Adi tya Dwi Herry Andayani Edy Haryanto Fadilla Putri Devito Nur Azizah Fahmi Ardhi Faizal, Ajesh Ferry Kriswandana Ginarsih, Yuni Her Gumiwang Ariswati Herlina Candra Putri Hilmi Yumni I Dewa Gede Hari Wisana Imam Sarwo Indarto, Tri Bowo Ira Puspitasari Irwan Sulistio Isnanto Juliana Christyaningsih K. K. Mujeeb Rahman Kholiq, Abd Lamidi Lamidi Latafat Mikayilzade Ali Levana Forra Wakidi Liliek Soetjiatie Luthfi Rusyadi Luthfiyah, Sari Luthfiyah, Sari Maduka Nosike MINARTI Moh. Amin Nasrullah Muhammad Fauzi Muhammad Iqbal Muhammad Ridha Mak'ruf Muhammad Ridha Mak'ruf Nadiya Garnis Sallyfan Nur Fildzah Hidayati Priyambada Cahya Nugraha Priyambada Cahya Nugraha Pudji, Andjar Putra, Wahyu Ramadhan Raden Duta Ikrar Abadi Rahmawati, Triana Ramadhan, Bahrurrizki Retno Sasongko Wati Rifky Maulana Fuadi Rokhmalia, Fitri Salwa, Umaimah Mitsalia Ummi Sambhrant Srivastava Samekto Wibowo Sandeep Kumar Gupta Sari Luthfiyah Sari, Ira Rahayu Tiyar Sella Octa Ardila Siti Mar'atus Slamet Wardoyo SRI UTAMI Sulistyowati, Dwi Wahyu Wulan sumber sumber Syaifudin Syaifudin Taufiqurrahman Thomas Sri Widodo Torib Hamzah Tri Bowo Indrato Triana Rahmawati Triana Rahmawati Triwiyanto Triwiyanto Vishwajeet Shankhwar Vugar Abdullayev Wahyu Caesarendra Wahyu Pratama Yulia Ningrum, Churie Nurhaeni