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Automatic analysis of Archimedes’ spiral for characterization of genetic essential tremor based on Shannon’s entropy and fractal dimension
(MDPI, 2018-07-16)
Among neural disorders related to movement, essential tremor has the highest prevalence; in fact, it is twenty times more common than Parkinson’s disease. The drawing of the Archimedes’ spiral is the ...
Identification and monitoring of Parkinson’s disease dysgraphia based on fractional-order derivatives of online handwriting
(MDPI, 2018-12-11)
Parkinson’s disease dysgraphia affects the majority of Parkinson’s disease (PD) patients and is the result of handwriting abnormalities mainly caused by motor dysfunctions. Several effective approaches ...
Mood state detection in handwritten tasks using PCA–mFCBF and automated machine learning
(MDPI, 2022 Feb 2)
In this research, we analyse data obtained from sensors when a user handwrites or draws on a tablet to detect whether the user is in a specific mood state. First, we calculated the features based on the ...
Reliability and validity of the Polar V800 sports watch for estimating vertical jump height
(JOURNAL SPORTS SCIENCE & MEDICINE, 2021)
This study aimed to assess the reliability and validity of the Polar V800 to measure vertical jump height. Twenty-two physically active healthy men (age: 22.89 ± 4.23 years; body mass: 70.74 ± 8.04 kg; ...
On the analysis of speech and disfluencies for automatic detection of Mild Cognitive Impairment
(Springer Nature, 2018-05-08)
Alzheimer’s disease is characterized by a progressive and irreversible cognitive deterioration. In a previous stage, the so-called Mild Cognitive Impairment or cognitive loss appears. Nevertheless, this ...
Exploiting spectral and cepstral handwriting features on diagnosing Parkinson’s disease
(IEEE, 2021-10-22)
Parkinson’s disease (PD) is the second most frequent neurodegenerative disease associated with several motor symptoms, including alterations in handwriting, also known as PD dysgraphia. Several computerized ...