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All Journal Indonesian Journal on Computing (Indo-JC) Indonesian Journal of Cardiology
Miftah Pramudyo
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Computer Science & IT Health Professions Medicine & Pharmacology

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Study of Denoising Method to Detect Valvular Heart Disease Using Phonocardiogram (PCG) Muhammad Yaumil Ihza Ihza; Satria Mandala; Miftah Pramudyo
Indonesia Journal on Computing (Indo-JC) Vol. 7 No. 1 (2022): April, 2022
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2022.7.1.610

Abstract

Heart sound is a very weak acoustic signal, very susceptible to external acoustic signals and electrical disturbances, especially friction caused by the subject's breathing or body movements. The heart sound signal will be recorded in a phonocardiogram (PCG) and produce heart sounds, noise, and extra sounds. The purpose of this work is to denoise the signal from the heart sounds recorded on the PCG and determine valvular heart disease (VHD). Several methods have been proposed for denoising heart sound signals, both in the time domain and in the frequency domain. Most of these methods still have problems for denoising results. In this paper, the techniques used to denoise the heart sound signal are Discrete Wavelet Transform (DWT), Short Term Fourier Transform (STFT), and Low-Pass filter.
Study of Machine Learning Algorithm on Phonocardiogram Signals for Detecting of Coronary Artery Disease Satria Mandala; Miftah Pramudyo; Ardian Rizal; Maurice Fikry
Indonesia Journal on Computing (Indo-JC) Vol. 5 No. 3 (2020): December, 2020
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2020.5.3.536

Abstract

Several methods of detecting coronary artery disease (CAD) have been developed, but they are expensive and generally use an invasive catheterization method. This research provides a solution to this problem by developing an inexpensive and non-invasive digital stethoscope for detecting CAD. To prove the effectiveness of this device, twenty-one subjects consisting of 11 CAD patients and 10 healthy people from Hasan Sadikin Hospital Bandung were selected as validation test participants. In addition, auscultation was carried out at four different locations around their chests, such as the aorta, pulmonary, tricuspid, and mitral. Then the phonocardiogram data taken from the stethoscope were analyzed using machine learning. To obtain optimal detection accuracy, several types of kernels such as radial basis function kernel (RBF), polynomial kernel and linear kernel of Support Vector Machine (SVM) have been analyzed. The experimental results show that the linear kernel outperforms compared to others; it provides a detection accuracy around 66%. Followed by RBF is 56% and Polynomial is 46%. In addition, the observation of phonocardiogram signals around the aorta is highly correlated with CAD, giving an average detection accuracy for the kernel of 66%; followed by 44% tricuspid and 43% pulmonary.
Performance Analysis of PPG Signal Denoising Method Using DWT and EMD for Detection of PVC and AF Arrhytmias: Analisis Performansi Metode Denoising Sinyal PPG Menggunakan DWT dan EMD untuk deteksi Aritmia PVC dan AF Muhammad Aniq Wafa; Satria Mandala; Miftah Pramudyo
Indonesia Journal on Computing (Indo-JC) Vol. 7 No. 2 (2022): August, 2022
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2022.7.2.648

Abstract

In the cardiac arrhythmia detection system using a Photoplethysmography (PPG) sensor, noise is often found in the PPG signal due to internal and external factors in the signal retrieval process. So it is necessary to do a denoising process to remove noise before the signal is used. This study aims to test the Discrete wavelet transform (DWT) and Empirical Mode Decomposition (EMD) methods in removing noise from the PPG signal and to test the denoising signal on the Premature Arrhythmia Verticular Contractions (PVC) and Atrial Fibrillation (AF) detection systems. The parameters used to compare the performance of the denoising method are Mean Square Error (MSE), Signal to Noise Ratio (SNR), Accuracy, F1, Precision, and Recall. The method with the highest SNR, Accuracy, F1, Precision, and Recall values ​​and the lowest MSE values ​​is the best denoising method.
Management of Decongestion in Acute Heart Failure: Time for a New Approach? Miftah Pramudyo
Jurnal Kardiologi Indonesia Vol 43 No 2 (2022): Indonesian Journal of Cardiology: April - June 2022
Publisher : The Indonesian Heart Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30701/ijc.1381

Abstract

As the primary cause of hospitalization in acute heart failure (AHF) patients, congestion was responsible for a higher risk of mortality, rehospitalization, and renal dysfunction in AHF patients. Although loop diuretic was routinely used as the mainstay of AHF therapy, it is still ineffective to obtain the euvolemic state in most hospitalized AHF patients. Therefore, a higher loop diuretic dose was often required to increase the decongestion effect. However, consequently, it can cause several detrimental complications, including renal dysfunction, neurohormonal activation, hyponatremia, hypokalaemia, and reduced blood pressure, which eventually result in poor prognosis. Hence, the new approach may be proposed to optimize decongestion in acute phase, including the use of arginine vasopressin V2 receptor antagonist – Tolvaptan. As an additive therapy to loop diuretic in AHF patients, it can be considered due to its several beneficial effects, including greater decongestion effect, lowered worsening renal function incidence, counteract neurohormonal activation, neutralized hyponatraemic state, no alteration of potassium metabolism, stabilize the blood pressure, and reduced requirement of a higher dose of loop diuretic to achieve an equal or even greater decongestion effect compared to a high dose of loop diuretic alone. Tolvaptan provided favourable outcomes in several specific populations and was considered safe with several mild adverse effects. Several guidelines across countries have approved the use of Tolvaptan in AHF patients with or without hyponatremia. The initial dose of Tolvaptan was 7.5 to 15 mg and can be titrated up to 30 mg. However, further studies were still required to determine the timing dose and optimal dose of Tolvaptan in general and elderly populations with AHF, respectively.
Management of Acute Coronary Syndrome Indonesia : Insight from One ACS Multicenter Registry Dafsah Arifa Juzar; Akhtar Fajar Muzakkir; Yose Ramda Ilhami; Nahar Taufiq; Tri Astiawati; I Made Junior R A; Miftah Pramudyo; Andria Priyana; Afdhalun Hakim; Setyasih Anjarwani; Jusup Endang; Bambang Widyantoro
Jurnal Kardiologi Indonesia Vol 43 No 2 (2022): Indonesian Journal of Cardiology: April - June 2022
Publisher : The Indonesian Heart Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30701/ijc.1406

Abstract

Background Acute coronary syndrome (ACS) is a life-threatening disorder which contributes to high morbidity and mortality in the world. Registry of ACS offers a great guidance for improvement and research. We collated a multicentre registry to gain information about demographic, management, and outcomes of ACS in Indonesia. Methods IndONEsia Acute Coronary Syndrome Registry (One ACS Registry) was a prospective nationwide multicenter registry with 14 hospitals participating in submitting data of ACS via standardized electronic case report form (eCRF). Between July 2018 and June 2019, 7634 patients with ACS were registered. This registry recorded baseline characteristics; onset, awareness, and transfer time; physical examination and additional test; diagnosis; in-hospital medications and intervention; complications; and in-hospital outcomes. Results Nearly half of patients (48.8%) were diagnosed with STE-ACS. Most prevalent risk factors were male gender, smoking, hypertension. Patients with NSTE-ACS tended to have more concomitant diseases including diabetes mellitus, dyslipidemia, prior AMI, HF, PCI, and CABG. Majority of ACS patients in our registry (89.4%) were funded by national health coverage. Antiplatelet, anticoagulant, antihypertensive, and statins were prescribed as 24-hours therapy and discharge therapy; however presription of potent P2Y12 inhibitor was low. More STE-ACS patients underwent reperfusion therapy than non-reperfusion (65.2% vs. 34.8%), and primary PCI was the most common method (45.7%). Only 21.8% STE-ACS patients underwent reperfusion strategy within 0-3 hours of onset. Invasive strategy performed in 17.6% of NSTE-ACS patients, and only 6.7% performed early (within <24 hours). Patients underwent early invasive strategy had a shorter median LoS than late invasive strategy (P<0.001). A shorter median LoS also found in intermediate and low risk patients. Mortality rate in our ACS patients was 8.9%; STE-ACS patients showed higher mortality than NSTE-ACS (11.7 vs. 6.2%). Conclusion Our registry showed a comparable proportion between STE- and NSTE-ACS patients, with male gender predominant in middle age. Both STE- and NSTE-ACS sharing the same risk factors. We need an improvement in referral time, especially in patients with STE-ACS. Evidence from our registry showed that there are two issues that need to be addressed in order to improve ACS outcomes: optimal and adequate medical treatment and invasive strategy.
Co-Authors Afdhalun Hakim Akhtar Fajar Muzakkir Andria Priyana Ardian Rizal Bambang Widyantoro Dafsah Arifa Juzar I Made Junior R A Jusup Endang Maurice Fikry Muhammad Aniq Wafa Muhammad Yaumil Ihza Ihza Nahar Taufiq Satria Mandala Setyasih Anjarwani Tri Astiawati Yose Ramda Ilhami