Prawito Prajitno

Stroke diminishes someone’s quality of life since post-stroke symptoms can make some limbs do not function normally-in most cases, feet-thus the stroke patients’ mobility will be limited. However, the brain wave of stroke patients was observed as normal, thus in this study, the normal brainwaves were utilized to rehabilitate post-stroke patient and were expected to help their mobility through wheelchairs with brain waves control so that post-stroke patients can improve their quality of ...

Laser is a light that has a coherent and high intensity compared to other light sources. If the rough surface is illuminated by a laser beam, speckle patterns will be formed, this occurs because of the laser light scattering. The speckle laser pattern holds a lot of information, one of which is the level of roughness of a surface. This research study aims to measure the level of surface roughness in a metal plate. For that purpose, a simple system has been developed to acquire laser ...

Every human movement is controlled by the brain, that can read in the form of EEG signals. The classification in EEG signals is very difficult, this is because the data is dissimilar. Neural Network has become one of the most dominant ways to increase the classification accuracy of these signals. The purpose of this study is to discover an appropriate combination for the best classification accuracy of right-hand grasp movement based on EEG headset. There is three movement ...

Mental health issue is growing rapidly in these recent years. Teenagers and young adult aged of 16–30 years old are the most common victims. Mental health is a really serious issue concerning emotional health. One of the causes on emotional health issues is a lack of self-awareness, which is the key cornerstone on maintaining emotional state. In this study, EEG Neurostyle of 24 channels was used to obtain brain electrical signals. The mental emotions of the subjects were obtained from ...

Locked-in syndrome (LIS) has to be aware of, even though it is rare in the world. However, this disease has been reported to have ten years survival rates as high as 80 %. The physical appearance of the syndrome is a total paralysis but with preservation of consciousness. Consciousness indicates that the patient’s brain is still able to work quite well. Brain Computer Interfaces (BCI) is a technology that allow users to directly have control on computers or external devices by focusing ...

Electrical Impedance Tomography (EIT) is an imaging method that is able to estimate electrical impedance distribution inside an object. This EIT system is developed by using 32 electrodes and microcontroller based module. From a pair of electrodes, sinusoidal current of 3 mA is injected and the voltage differences between other pairs of electrodes are measured. Voltage measurement data are then sent to MATLAB and EIDORS software; the data are used to reconstruct two dimensions image. The ...

Using photovoltaic module, electrical energy obtained by converting energy from the irradiation of the sun. However, the disadvantages using photovoltaic module is when irradiation from the sun changes which moves the maximum power point in P- V curve resulting in output power obtained become not at its maximum power. The method to extract maximum power available from changing energy source in example solar photovoltaic module are known as Maximum Power Point Tracking (MPPT). One of MPPT ...

Brain-computer interface (BCI) or also its advancement, hybrid brain-computer interface (hBCI), is a technology that is vastly developed. This technology has been used in many fields. BCI is a system that directly changes a human’s mind into data that can be extracted to information that can be meaningful to people. The development of this technology has applications as a rehabilitation aid for someone suffering from an inability to move his limbs, such as the arms. Through this ...

Electroencephalography (EEG) is an electrical signal data that can describe brain activity in which the signal contains important information that can be used to detect several diseases. One of the diseases that can be detected by EEG signals is stroke. The most common type of stroke is the acute ischemic stroke (AIS) due to blockage of blood supply to the brain which can generate the tissue damage in the brain EEG signal recording uses several electrodes where the more electrodes used ...

Acute Ischemic Stroke (AIS) is one kind of stroke that occurs the most. Stroke itself is the number one cause of death that can reduce blood flow and deprive the oxygen into the brain. Early diagnosis can help patients getting faster medical treatment thus avoid unwanted damage to the brain. Electroencephalogram (EEG) is an alternative tool for diagnosing AIS to the standard tools as in MRI or CT-scan. In this research, we try to classify stroke severity with 1 dimensional CNN ...

In this research, two dimensional gamma ray computed tomography (CT) hardware system design based on of PIN photodiode detector had been done. The developed hardware is first generation of CT which consists of single PIN photodiode detector (Teviso RD3024) and collimated source of gamma radiation (Cs-137), radiation counter system (built based-on timer and counter units of a microcontroller), and mechanical control system (to control motor steppers) to move the test material by rotation ...

Environmental radiation monitoring based gamma spectroscopy require a multichannel analyzer (MCA) which functions to record and analyze nuclear radiation spectrum data. There are currently many studies related to MCA based on field programmable gate array (FPGA). But, the scope of these published research is complex and fragmented. This systematic literature review (SLR) main objective to analyze research trends and emerging themes research of MCA based on FPGA for gamma spectroscopy ...

The diagnosis of lung organ requires accurate analysis and interpretation. Abnormal parts such as nodules are sometimes covered by other complex lung tissue that is normal tissue. Therefore innovation is needed in analyzing and classifying normal tissue and the nodule. This study developed a Computer-Aided Diagnosis (CAD) for radiographic of pediatric lung using segmentation Particle Swarm Optimization (PSO) method to detect the abnormality in lung image. Particle Swarm Optimization ...

Lung cancer is the most common and the deadliest cancer in the world. Lung cancer staging usually was done by radiologist by detecting mediastinal lymph node (LN) enlargement. Mediastinal LN is difficult to be detected visually due to its low contrast to the surrounding tissues, various size and shape, and sparse location. Therefore, computer-aided detection (CADe) system has been developed as a tool for radiologist to detect mediastinal LN automatically. The state of the art mediastinal ...