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Keyword: HealthyInvestigating The Detection of Intention Signal During Different Exercise Protocols in Robot-Assisted Hand Movement of Stroke Patients and Healthy Subjects Using EEG-BCI System
Improving the hand motor skills in post-stroke patients through rehabilitation based on movement intention derived signals from the brain in conjunction with robot-assistive technologies are explored. The experimental work is conducted using Electroencephalogram based Brain-Computer Interface (EEG-BCI) system and the AMADEO hand rehabilitation robotic device. Two protocols using visual-cues and then using a 2-Dimensional (2D)…
Read More1-D Wavelet Signal Analysis of the Actuators Nonlinearities Impact on the Healthy Control Systems Performance
The objective of this paper is to investigate the use of the 1-D wavelet analysis to extract several patterns from signals data sets collected from healthy and faulty input-output signals of control systems as a preliminary step in real-time implementation of fault detection diagnosis and isolation strategies. The 1-D wavelet analysis proved that is an…
Read MoreVerify of Left and Right Differences in Sleep Index using the Ring-type Sensor
In this study, two healthy women in their 40s wore Oura Rings on both fingers and verified left and right differences in sleep index. Bed time, sleep time, rem sleep, sleep score, and heart rate had small left and right differences in both subjects, and a high correlation of 0.8 or more was observed(subjectA:P<0.001,subjectB:P<0.01). Subject…
Read MoreEstimating Subjective Appetite based on Cerebral Blood Flow
This study aims to develop and validate a biological food preference task that simultaneously evaluates biological responses to visual stimuli of various food states and subjective evaluations of foods and to examine how these biological responses are related to food preference behavior. We recruited seventeen healthy male and female subjects to observe changes in cerebral…
Read MorePredicting School Children Academic Performance Using Machine Learning Techniques
The study aims to assess the machine learning techniques in predicting students’ associated factors that affect their academic performance. The study sample consisted of 5084 middle and high school students between the ages of 10 and 17, attending public and UNRWA schools in the West Bank. The ‘Health Behaviors School Children’ questionnaire for the 2013-2014…
Read MoreLifestyle in Nursing Students at a University of North Lima
Healthy lifestyles were proposed to improve the health status of the university population, they are a set of behaviors that are reflected according to the type of situation and behavior of each person who performs it during the period of their training, the inappropriate lifestyles provides many problems, which are non-communicable diseases that manifest in…
Read MoreRecognition of Maximal Lift Capacity using the Polylift
Background: Occupational injuries are an issue of huge significance in the United States. After a work injury, health care providers often utilize functional capacity evaluations to determine readiness of a patient to return to work. However, it can be difficult to determine if a patient is providing maximal “effort” during the evaluation. The aim of…
Read MoreModeling Watershed Health Assessment for Five Watersheds in Lampung Province, Indonesia
A healthy watershed is important not only for the ecosystem but also for human socioeconomic activities. Therefore, a compatible assessment model is required to recognize watershed health. In Indonesia, the watershed health assessment is directed by the Ministry of Forestry regulation number 60/2014. A critic might be posed to this directive for not including the…
Read MoreType 2 Diabetes Risk and Physical Activity in outpatients treated in Health Centers in a District of North Lima, 2020
Diabetes Mellitus Type 2 is a chronic disorder that affects the way the body metabolizes sugar (glucose) in the blood and depends on a combination of risk factors, such as genes and lifestyle. Although certain risk factors such as family history, age, or ethnicity cannot be changed, those related to diet, physical activity, and weight…
Read MoreFault-Tolerant Control of Permanent Magnet Synchronous Motor Drive under Open-Phase Fault
This paper presents an integrated solution for a fault-tolerant three-phase permanent magnet synchronous motor (PMSM) field-oriented control drive subjected to an open-phase fault (OPF) integrated with effective fault-tolerant detection methodology. The fault detection methodology is based on model predictive current control (MPCC), which is easy to apply, detect OPF in a range of microseconds, and…
Read MoreA Proposal of Exercise and Performance Learning Assistant System for Self-Practice at Home
Due to pandemic spreads of COVID-19 and increasing populations of se- niors, exercises or performance practices at home have become important to maintain healthy lives around the world. World Health Organization (WHO) has announced the physical health determines the Quality of Life (QoL) of a human. Unfortunately, a lot of people have no exercise and…
Read MoreReview of Orange Juice Extractor Machines
There is some agricultural equipment for post harvesting of Orange fruit Juice, all the machine is geared towards extraction of the fruit juice. Fruit juice extraction is the act of wringing out the juice content of fruits by way of an effective processing and storage which enhance reduction in wastage. Fruit juices which literally have…
Read MoreSupporting Better Physical Activity in a Smart City: a Framework for Suggesting and Supervising Walking Paths
The increase of elderly population creates the need to promote healthy aging, with autonomy and independence, for preserving the functional capacity and quality of life as much as possible. To achieve this goal the recommendations include walking a certain amount of steps daily, given that the exact amount of steps changes with age, lesions, and…
Read MoreComparison of Electrogastrograms in Seated and Supine Positions Using Wayland Algorithm
In previous study, it is difficult to estimate the biological states such as postural ones and aetas in accordance with the previous analysis of electrogastrograms (EGGs), basically the frequency resolution of healthy individuals. In addition, few studies have compared gastric myoelectrical activity in supine and sitting posture. The aim of this study is to evaluate…
Read MoreStress Level Classification Using Heart Rate Variability
The research programme reported in this paper is set within the framework of our research under the theme of ICT support for Active Healthy Ageing (AHA). This longitudinal empirical research is focused on the study of the impact on the management of cardio-vascular disease if supported by sustained health monitoring using wearable connected devices. One…
Read MoreLow-Dimensional Spaces for Relating Sensor Signals with Internal Data Structure in a Propulsion System
Advances in technology have enabled the installation of an increasing number of sensors in various mechanical systems allowing for more detailed equipment health monitoring capabilities. It is hoped the sensor data will enable development of predictive tools to prevent system failures. This work describes continued analysis of sensor data surrounding a seizure of a turbocharger…
Read MoreEvaluating the Effect of Mozart Music and White Noise on Electroencephalography Pattern toward Visual Memory
Listening to auditory stimuli during study can give positive and negative influence on human cognitive processing. Thus, it has attracted researchers to conduct studies using various types of auditory stimuli. Some researchers believe that Mozart music and white noise are able to give positive influence on cognitive performance. However, most of the past studies gave…
Read MoreMultilingual evaluation of voice disability index using pitch rate
We propose the use of the pitch rate of free-form speech recorded by smartphones as an index of voice disability. This research compares the effectiveness of pitch rate, jitter, shimmer, and harmonic-to-noise ratio (HNR) as indices of voice disability in English, German, and Japanese. Normally, the evaluation of these indices is performed using long-vowel sounds;…
Read MoreSchizophrenia Prediction Using Integrated Imaging Genomic Networks
In order to increase the diagnosis accuracy of schizophrenia (SCZ) disease, it is essential to comprehensively employ complementary information from multiple types of data. It is well known that a network is a general method for analyzing relationships between patients, with its nodes representing patients and its edges showing relationships between them. In this study,…
Read MoreEffects of the Metropolitan Civil Resilience Program: Comparison of the SAT Resilience Program and an Exercise Program
Purpose: To conduct preliminary research for developing a program to enhance resilience, a topic that has generated attention of late. Methods: We compared the Structured Association Technique (SAT) resilience program and an exercise program. The citizen’s lecture on stress management occurred 1 month after East Japan Earthquake, and the intervention was carried out in the afternoon of…
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