Stroke is one of the most prevalent health issues that people face today, causing long-term complications such as paresis, hemiparesis, and aphasia. These conditions significantly impact a patient's physical abilities cause financial social hardships. In order to address these challenges, this paper presents groundbreaking solution-a wearable rehabilitation glove. This motorized glove designed provide comfortable effective for patients with paresis. Its unique soft materials compact size...

In this study, the fusion of cortical and muscular activities based on discriminant correlation analysis DCA) is developed to recognize bilateral lower limb movements. Electromyography (EMG) electroencephalography (EEG) signals were concurrently recorded from 28 healthy subjects while performing various ankle joint The two types biosignals fused at feature level, five different classifiers used for purpose movement recognition. performance with multimodal single modality data assessed...

Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) have temporal spatial characteristics that may complement each other and, therefore, pose an intriguing approach for brain-computer interaction (BCI). In this work, the relationship between hemodynamic response brain oscillation activity was investigated using concurrent recording of fNIRS EEG during ankle joint movements. Twenty subjects participated in experiment. The recorded 20 electrodes responses were 32...

Electroencephalography (EEG) signals have a major impact on how well assistive rehabilitation devices work. These become common technique in recent studies to investigate human motion functions and behaviors. However, incorporating EEG motor planning or movement intention could benefit all patients who can plan but are unable execute it. In this paper, the of lower limb was investigated using signal bilateral movements were employed including dorsiflexion plantar flexion right left ankle...

Electroencephalogram (EEG) signals are critical in interpreting sensorimotor activities for predicting body movements. However, their efficacy identifying intralimb movements, such as the dorsiflexion and plantar flexion of foot, remains suboptimal. This study aims to explore whether various EEG signal quantities can effectively recognize movements facilitate development Brain-Computer Interface (BCI) devices foot rehabilitation. research involved twenty-two healthy, right-handed...

EMG based control becomes the core of pros-theses, orthoses and rehabilitation devices in recent research. Though difficulties using as a signal due to complexity nature this signal, researchers employed pattern recognition technique overcome problem. The mainly consists four stages; detection preprocessing feature extraction, dimensionality reduction classification. However, success any depends on extraction stages. In paper time domain (TD) with 6 <sup...

The study of functional connectivity (FC) the brain using resting-state magnetic resonance imaging (rs-fMRI) has gained traction for uncovering FC patterns related to autism spectrum disorder (ASD). It is believed that neurodynamic components neuroimaging data enhance measurement nodes. Hence, methods based on linear correlations rs-fMRI may not accurately represent nodes in ASD patients. In this study, we proposed a new biomarker detection wavelet coherence and singular value decomposition....

This paper presents the implementation of four channel Electromyography (EMG) signal acquisition system for acquiring EMG lower limb muscles during ankle joint movements. Furthermore, some post processing and statistical analysis recorded were presented. Four channels implemented using instrumentation amplifier (INA114) pre-amplification stage then amplified subjected to band pass filter eliminate unwanted signals. Operational (OPA2604) was involved main amplification get output in volts....

Driving fatigue has been shown to increase the risk of accidents and potentially fatal crashes. Fatigue is a serious that some drivers do not take seriously. Previous studies investigated effects driving in Malaysian oil gas transportation industry by employing survey questionnaires. However, they did explain behavior fatigue. Besides, these results required validation more reliable method can describe how occurs.Thus, this study, we used Psychomotor Vigilance Test (PVT-192) short address...

Interruptions to secondary tasks increase cognitive load and emotion. force workers switch jobs. In the two studies, some of these get interrupted, resulting in multiple that must be resumed, known as nested interruptions. We hypothesize interruption mental task levels negative emotions degrade performance. The participant would have encode resumption goals for both primary interrupted working memory. Initially, a preliminary laboratory experiment was conducted on participants using...

Obesity phenomenon has become a significant issue over the world. various negative consequences that might impact not only health but also social and economic issues. Current studies reveal lack of patients' commitment to doctors' instructions. In this paper, we propose new cloud-based model with ultimate aim monitor obese condition behavior constantly under real-time vision caregiver. The proposed provides technical method record, disseminates, share knowledge awareness among patients...

Neuroscientific evidence suggests that weight gain may be associated with changes in brain lobes' volume and function, as well impulsive behaviour related to eating. However, it remains unclear whether impulsivity overweight subjects is linked abnormal activity the resting state. To address this question, we propose a novel method assess relationship between different levels of body mass index (BMI) neural prefrontal cortex (PFC) using electroencephalography (EEG) state data. EEG signals...

In contrast to other brain imaging methods, electroencephalography (EEG) has become a feasible method for investigating activity and is an interesting modality brain-machine interfaces (BMIs) due its portability high temporal resolution. this work, sensorimotor rhythms (SMR) signal was utilized classify ankle joint movements. To achieve goal the EEG in motor cortex area measured using 21 electrodes during execution task of The event-related (de)synchronization (ERD/ ERS) technique quantify...