Abstract Background The electroencephalography (EEG) signals are known to involve the firings of neurons in brain. P300 wave is a high potential caused by an event-related stimulus. detection P300s included measured EEG widely investigated. difficulties detecting them that they mixed with other generated over large brain area and their amplitudes very small due distance resistivity differences transmittance. Methods A novel real-time feature extraction method for waves combining adaptive...

Robots have made significant contributions across various industries due to their efficiency and effectiveness. However, indoor navigation remains challenging complex environments sensor signal interference. Changes in conditions the limited range of GPS signals necessitate development an accurate efficient robot system. This study aims create autonomous system for medical robots using sensors such as Marvelmind, LiDAR, IMU, odometer, along with Time Elastic Band (TEB) local planning...

Methadone is a synthetic opioid that commonly employed in substitution therapy (OST) to reduce withdrawal symptoms and suppress cravings individuals with use disorder. While its pharmacological effects are well-documented, the neurophysiological changes it induces—especially during acute administration—remain underexplored. This study aims address gap by investigating methadone-induced alterations brain oscillatory activity through electroencephalography (EEG). Specifically, examines theta...

Abstract Excessive consumption of non-green products contributes to increasing levels environmental damage. One effort overcome this problem is influence consumer behavior in a more environment-friendly direction. Therefore, it necessary identify factors that environment-green behavior. The main aim research build comprehensive model inductively using artificial intelligence algorithms. This aims based on questionnaire instruments and interviews as data collection methods. Questionnaires...

ERP method is chosen to identify whether a person lying or not. It comprises of three steps and utilizes signal P300 as marker. For the sake simplicity, Matlab based program constructed take over processes. Eleven males whose age between 20 27 were subject experiment. The gathered data then divided into training test produce several models. They narrowed down using SVM on accuracy computation time. Despite being relatively low in accuracy, resulting model that used proved be able discern all...

In recording the EEG signals are often contamination signal called artifacts. There different kinds of artifacts such as power line noise, electromyogram (EMG), electrocardiogram (ECG) and electrooculogram (EOG). This research will compare two methods for removing artifacts, i.e. ICA PCA methods. recorded on three conditions, which is normal closed eyes, blinked eyes. After processing, dominant frequency obtained in range 12-14 Hz (alpha-beta) either From processing with found that method...

Electroencephalogram (EEG) recordings provide an important means of brain-computer communication, but their classification accuracy and transfer rate are limited by unexpected signal variations due to artifacts noises. In this paper, a nonlinear independent component analysis (NICA) extraction method for brain based EEG-P300 proposed. The performance the proposed is investigated through comparison well known methods (i.e., AAR, JADE, SOBI algorithms). Finally, promising results reported here...

Drug addiction poses a serious problem to our species. The worry that significant family might be involved in drug use and are concerned know how detect use. Examinations of thirty taped EEG recordings were performed. subjects consist three group: addictive, methadone treatment (rehabilitation), control (normal) which 10 for each group. Statistical analysis was performed the relative frequency wave bands. higher average amplitude is obtained from subjects. In comparison with signals source,...

In this paper, a wireless system for human heart monitoring/Electrocardiograph (ECG) based on Android Smartphones was proposed. The Cardiac signals recorded from three electrodes and attached to subject's body that connected the ECG amplifier module. module, were pre-prosessed sending result smartphone via Bluetooth. Next step, of stored in database (computer server) SD card smartphones. Furthermore, synchronized with Cloud Server through Internet using Rest API as Final Data. final data...

Electroencephalogram (EEG) recordings provide an important means of brain-computer communication, but their classification accuracy is limited by unforeseeable signal variations due to artifacts or recognizer-subject feedback. In this paper, we propose a comparison processing method (i.e., NPCA, JADE, and SOBI) entailing time-series EEG signals. Finally, the promising results reported here (up 94% average 36.4% improvement maximum transfer rate) reflect considerable potential for continuous...

An electrocardiogram is a potential bioelectric record that occurs as result of cardiac activity. QRS Detection with zero crossing calculation one method can precisely determine peak R wave part arrhythmia detection. In this paper, two experimental scheme (2 minutes duration different activities: relaxed and, typing) were conducted. From the experiments it obtained: accuracy, sensitivity, and positive predictivity about 100% each for first experiment 79%, 93%, 83% second experiment,...

Abstract In last 5 years Physical Computing has been a constant discussion in the whole world. With so many turned into wearable technology. We are trying to take one of thousands example, this case ECG processing, and put it test. tried expand all features pin point exact PQRST ECG. also tested three state condition, which is: sitting-rest, walking, fast-paced walk see how our program would perform that particular varies activity. From analysis conducted, can be concluded output proposed...

Abstract The sustainable development goals (SDGs) are a UN agenda that has been approved by all member states. SDGs have 17 targets, one of which is to eliminate hunger. In 2050, the world’s population expected reach 9.7 billion people. Improved soil and water management, according World Resources Institute, options for feeding 10 people sustainably 2050. comparison conventional farming, smart precision farming produces higher productivity at lower cost. Based on search literature studies...

In this paper, a sequential quadratic programming method for determining the optimal damping coefficients of semi-active suspension system is investigated. Two objective functions (i.e., mean squares sprung-mass absolute acceleration and dynamic load) are minimised under four constraints. By splitting road frequency range into regions, in individual regions obtained. Simulation results three cases (passive, with static coefficients, coefficients) show that significantly improve ride comfort,...

Electroencephalogram (EEG) recordings signal provide an important function of brain-computer communication, but the accuracy their classification is very limited in unforeseeable variations relating to artifacts. In this paper, we propose a method entailing time-series EEG-P300 signals using backpropagation neural networks predict qualitative properties subject’s mental tasks by extracting useful information from highly multivariate non-invasive brain activity. To test improvement...

Abstract Strawberry plant is a fruit plants that have high enough value. contains amounts of fiber, vitamin C, folic acid, potassium and antioxidants. Cultivating strawberries an easy task because strawberry are often affected by both micro-organisms, pests bacteria. To reduce the spread disease in plants, initial introduction will be carried out using digital image processing. Digital images leaf processed to determine health status plant. The process on includes improvement, color...

This study will explore the differences in brain wave activity while a person is either telling truth or being deceptive. A subject activities based EEG-P300 component be monitored they first respond truthfully and then falsely to questions regards mock theft scenario. Eleven males whose age are around 24 ± 3 years old were experiment. For extraction classification, an independent analysis support vector machine methods adopted. The gathered data divided into training test produce several...

In this paper, an extraction for brain-controlled wheelchair by applying nonlinear adaptive filter on EEG-SSVEP is proposed. A four-choice signal paradigm with differents frequencies (i.e., from 6 to 9 Hz left, right, bottom, and top, respectively) used stimulate the four subjects (about 25±1 years old) in experiment. The experimental results show that application of method achieves a very significant statistical improvement extracting peak amplitude features.