Muscle fatigue is often a result of unhealthy work practice. It has been known for some time that there significant change in the spectrum electromyography (EMG) muscle when it fatigued. Due to very complex nature this signal however, difficult use information reliably automate process onset determination. If such implementation were feasible, could be used as an indicator reduce chances work-place injury. This research report on effectiveness wavelet transform applied EMG means identifying...

Dysarthria is an early symptom of Parkinson's disease (PD) which has been proposed for detection and monitoring the with potential telehealth. However, inherent differences between voices different people, computerized analysis have not demonstrated high performance that consistent datasets. The aim this study was to improve in detecting PD test This investigated effectiveness three groups phoneme parameters, i.e. voice intensity variation, perturbation glottal vibration, apparent vocal...

Background: Parkinson's disease (PD) is a multi-symptom neurodegenerative generally managed with medications, of which levodopa the most effective. Determining dosage requires regular meetings where motor function can be observed. Speech impairment an early symptom in PD and has been proposed for detection monitoring disease. However, findings from previous research on effect speech have not shown consistent picture. Method: This study investigated medication patients three sustained...

This paper examines the use of wavelets for detection QRS complex in ECG. Wavelets provide temporal and spectral information simultaneously offer flexibility with a choice wavelet functions different properties. research has examined properties to determine effects such as linearity time/frequency localization on accuracy detection. The sum false negatives positives (total error detection) is criterion determining efficacy function. reports significant reduction complexes mean reduced 0.75%....

Parkinson's disease (PD) is a multi-symptom neurodegenerative disease. There are no biomarkers; the diagnosis and monitoring of progression require clinical functional symptom observation. Voice impairment an early PD, computerized analysis voice has been proposed for detection However, there poor reproducibility many studies, which attributed to experimental data having collected under controlled conditions. To overcome limitations earlier works, this study investigated three sustained...

The COVID-19 pandemic has resulted in enormous costs to our society. Besides finding medicines treat those infected by the virus, it is important find effective and efficient strategies prevent spreading of disease. One key factor transmission identify biomarkers that can be used develop an efficient, accurate, noninvasive, self-administered screening procedure. Several variants cause significant respiratory symptoms, thus a voice signal may potential biomarker for infection. This study...

Objective: A large number of people with obstructive sleep apnea (OSA) also suffer from major depressive disorder (MDD), leading to underdiagnosis due overlapping symptoms. Polysomnography has been considered identify MDD. However, limited access clinics makes this challenging. In study, we propose a model detect MDD in OSA using an electrocardiogram (ECG) during sleep. Methods: The single-lead ECG data 32 (OSAD-) and 23 (OSAD+) were investigated. first 60 min their recordings after...

One of the possibilities for developing non-invasive computerized diagnostic tools Parkinson's disease (PD) is to detect changes in voice, known as Parkinsonian dysarthria. Numerous classification models have been developed diagnose PD based on voice features. However, performance and trained only using features extracted from people with healthy might be affected when tested individuals other voice-related pathological conditions. Therefore, we investigated reliability voice-based...

Muscles are responsible for movement of the limbs. Muscle contraction is accompanied by electrical activity that measurable and electromyography (EMG) recording. Due to complex nature signal, detailed analysis classification often difficult, especially if EMG relates movement. This paper reports research determine features multi-channel signal recording correlate with hand subjects. Different processing techniques reported. It demonstrates integral RMS correlates best

Hypokinetic dysarthria is one of the early symptoms Parkinson's disease (PD) and has been proposed for detection also monitoring progression disease. PD reduces control vocal tract muscles such as tongue lips and, therefore length active altered. However, change in due to not investigated. The aim this study was determine difference apparent (AVTL) between people with age-matched healthy people. phoneme, /a/ from UCI Disease Classification Dataset Italian Voice Speech were used AVTL...

Parkinson's disease (PD) is the second-most-common neurodegenerative disorder that affects motor skills, cognitive processes, mood, and everyday tasks such as speaking walking. The voices of people with PD may become weak, breathy, or hoarse sound emotionless, slurred words mumbling. Algorithms for computerized voice analysis have been proposed shown highly accurate results. However, these algorithms were developed on single, limited datasets, participants possessing similar demographics....

This paper reports a new signal classification tool, modified wavelet network called Thresholding Wavelet Networks (TWN). The is designed for the purposes of classifying signals. philosophy technique that often difference between signals may not lie in spectral or temporal region where strength high. Unlike other networks, this does concentrate necessarily on high-energy input iteratively identifies suitable coefficients (scale and translation) best differentiate different provided during...

Quadcopter, a popular Unmanned Aerial Vehicle (UAV), is able to land, take off, hover, and move on 3D trajectory. The ability requires accurate control of the rotors velocity based input from its sensors. One mechanisms altitude control. This paper presents new algorithm identify change quadcopter image processing techniques. designed be simple efficient in terms computation memory usage. identifies by calculating correlation function 10 sampled rows pixels. also some experiments conducted...

Abnormal reactive saccade, with reduced saccadic gain, impaired smooth pursuit, and unwarranted reactions are clinically used to assess people Parkinson's disease (PwPD). However, there inconsistent findings related other saccade parameters such as latency transition times. This study aimed identify differences in the reflexive of early stage PwPD aged-matched control (AMC).