Fiducial points of photoplethysmogram (PPG), first derivative PPG (VPG), and second (APG) are essential in extracting numerous parameters to diagnose cardiovascular disease. However, the fiducial were usually detected using complex mathematical algorithms. Inflection from derivatives waveforms not thoroughly studied, whereas they can significantly assist peak detection. This study is performed investigate use them detect important peaks PPG, VPG, APG. PPGs with different morphologies 43...

Epilepsy is a chronic neurological disorder caused by abnormal neuronal activity that diagnosed visually analyzing electroencephalography (EEG) signals. Background: Surgical operations are the only option for epilepsy treatment when patients refractory to treatment, which highlights role of classifying focal and generalized syndrome. Therefore, developing model be used diagnosing automatically important. Methods: A classification based on longitudinal bipolar montage (LB), discrete wavelet...

This study was conducted to investigate the utility and efficacy of finger photoplethysmogram pulse amplitude (PPG-AC) in comparison with standard Doppler ultrasound assessing an endothelial function via flow-mediated dilation (FMD). High-resolution B-mode scanning right brachial artery (BA) 31 healthy subjects aged 39.7 +/- 11.3 (range 22-64) years 52 risk 47.7 10.8 30-65) were performed before after 4 min upper arm occlusion. Concurrent measurement (where color imaging used enhance...

Cardiovascular disease (CVD) is the leading cause of deaths worldwide. In 2017, CVD contributed to 13,503 in Malaysia. The current approaches for prediction are usually invasive and costly. Machine learning (ML) techniques allow an accurate by utilizing complex interactions among relevant risk factors. This study presents a case–control involving 60 participants from Malaysian Cohort, which prospective population-based project. Five parameters, namely, R–R interval root mean square...

Photoplethysmograph (PPG) is a simple and cost effective method to assess cardiovascular related parameters such as heart rate, arterial blood oxygen saturation pressure. PPG signal consists of not only synchronized beats, but also the rhythms respiration. The sensor, which infrared light-emitting diodes (LEDs) photodetector, allows simple, reliable low-cost means monitoring pulse rate. In this project, signals are acquired through customized data acquisition process using Arduino board...

Heart disease remains the main leading cause of death globally and around 50% patients died due to sudden cardiac (SCD). Early detection prediction SCD have become an important topic research it is crucial for patient’s survival. Electrocardiography (ECG) has always been first screening method patient with complaints proven as predictor SCD. ECG parameters such RR interval, QT duration, QRS complex curve, J-point elevation T-wave alternan are found effective in differentiating normal...

Data gathering in wireless sensor networks (WSNs) is vital for deploying and enabling WSNs with the Internet of Things (IoTs). In various applications, network deployed a large-scale area, which affects efficiency data collection, subject to multiple attacks that impact reliability collected data. Hence, collection should consider trust sources routing nodes. This makes an additional optimization objective addition energy consumption, traveling time, cost. Joint goals requires conducting...

This paper describes the development of a noninvasive blood pressure measurement (NIBP) device based on oscillometric principle. The is composed an arm cuff, air-pumping motor, solenoid valve, transducer, and 2×16 characters LCD display module microcontroller which acts as central controller processor for hardware. In stage, auxiliary instrumentation signal acquisition digital processing using LabVIEW, also known virtual instrument (VI), incorporated learning experimentation purpose. Since...

Abnormal vital signs often predict a serious condition of acutely ill hospital patients in 24 hours. The notable fluctuations respiratory rate (RR) are highly predictive deteriorations among the measured. Traditional methods detecting RR performed by directly measuring air flow or out lungs indirectly changes chest volume. These require use cumbersome devices, which may interfere with natural breathing, uncomfortable, have frequently moving artifacts, and extremely expensive. This study aims...

Obsessive-compulsive disorder (OCD) is a mental illness causing patients to suffer from recurring undesirable thoughts (obsessions) conducting do affairs repetitively (compulsions). Brain signals recorded by Electroencephalogram (EEG) can be analyzed in order present diagnostic procedure considering the localization approach. In this study, acquired EEG have been three groups; two case with severe obsessive symptoms and compulsive symptoms, one healthy control group. signal processing...

BACKGROUND: Among vital signs of acutely ill hospital patients, respiratory rate (RR) is a highly accurate predictor health deterioration. OBJECTIVE: This study proposes system that consists passive and non-invasive single-lead electrocardi

Purpose: Routine electroencephalogram (EEG) examinations uses intermittent photic stimulation (IPS) for investigation of the visual cortex EEG responses during resting time. This study aimed to discover brain dynamics effects IPS in 28 generalized epilepsy patients and healthy subjects. Methodology: Signal processing techniques were used feature extraction by Fast Fourier transform (FFT), dimension reduction t-test (significant, p<0.05) classification nearest neighbor (k-NN) support...

Analysis of the electroencephalogram (EEG) signal is a popular method for brain activity tracing. However, precise experiment design required in ensuring accuracy and reliability recorded signals. This includes eye state whether to be closed or open position based on requirement. In this study, we have demonstrated significant difference between EC EO terms sub-band frequencies using discrete wavelet transform (DWT). The average percentage energy DWT coefficients related delta theta waves...

Various epileptic discharge detection studies have been conducted however, not many clinically significant outcomes achieved in developing reliable algorithm using nonlinear measurement techniques. Study has reported that some of the linear techniques performances better than technique detecting terms accuracy, sensitivity and specificity. The reliability issue addressed techniques, by introducing Multiresolution analysis (MRA). MRA with approximate entropy are most common combination used...

Rapid transmission of the coronavirus disease via droplets and particles has led to a global pandemic. Expeditious detection SARS-Cov-2 RNA in environment is attainable by using Bio-FET sensors. This work proposes sensor interface module with IoT implementation amplify signals from for monitoring. The was programmed read micro-controller process information determine presence SARS-Cov-2. proposed also set transmit data Cloud W-Fi be stored displayed on dashboard. prototype simulated PSpice...

Blood pressure (BP) is a vital health parameter that varies throughout the day. As single reading of high BP may not indicate hypertension, continuous monitoring usually recommended by medical doctors to confirm diagnosis hypertension. In last few decades, researchers have investigated cuff-less and measurements based on pulse transit time (PTT). The main purpose this research develop an autoregressive (ARX) system identification (SI)-based PTT calculation model using two PPG signals...

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