Machine learning for the diagnosis of Parkinson's disease: a review of literature
Diagnosis of Parkinson's disease (PD) is commonly based on medical observations and
assessment of clinical signs, including the characterization of a variety of motor symptoms …
assessment of clinical signs, including the characterization of a variety of motor symptoms …
Trends in audio signal feature extraction methods
G Sharma, K Umapathy, S Krishnan - Applied Acoustics, 2020 - Elsevier
Audio signal processing algorithms generally involves analysis of signal, extracting its
properties, predicting its behaviour, recognizing if any pattern is present in the signal, and …
properties, predicting its behaviour, recognizing if any pattern is present in the signal, and …
Multi-modal deep learning diagnosis of parkinson's disease—A systematic review
V Skaramagkas, A Pentari… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
Parkinson's Disease (PD) is among the most frequent neurological disorders. Approaches
that employ artificial intelligence and notably deep learning, have been extensively …
that employ artificial intelligence and notably deep learning, have been extensively …
[PDF][PDF] Examining the learning efficiency by a brain-computer interface system
PEBBINGHAUS test it was 52.41% on all samples. Conclusion: The developed BCI system
has a significant correlation with PCORSI and PEBBINGHAUS cognitive neuroscience tests …
has a significant correlation with PCORSI and PEBBINGHAUS cognitive neuroscience tests …
[PDF][PDF] The evaluation of bci and pebl-based attention tests
New technological advances of the 20th and 21st Centuries provide several new
opportunities for engineers in the future. Modern engineering methods feasible by these …
opportunities for engineers in the future. Modern engineering methods feasible by these …
A review of machine learning and deep learning algorithms for Parkinson's disease detection using handwriting and voice datasets
Parkinson's Disease (PD) is a prevalent neurodegenerative disorder with sig-nificant clinical
implications. Early and accurate diagnosis of PD is crucial for timely intervention and …
implications. Early and accurate diagnosis of PD is crucial for timely intervention and …
[PDF][PDF] Automatic analysis of emotions from the voices/speech in Spanish tv debates
The goal of this work is to automatically analyze the emotional status of speakers, in human-
human interactions, carried out in TV debates, where controversial topics are often …
human interactions, carried out in TV debates, where controversial topics are often …
A large-scale uav audio dataset and audio-based uav classification using cnn
The increased popularity and accessibility of UAVs may create potential threats.
Researchers have been developing UAV detection and classification systems with different …
Researchers have been developing UAV detection and classification systems with different …
[PDF][PDF] Cognitive aspects of spatial orientation
M Macik - Acta Polytechnica Hungarica, 2018 - v3c.cz
This manuscript focuses on cognitive aspects of spatial mental modeling. We examine
possibilities for merging methods for sensing and modeling of cognitive capabilities and …
possibilities for merging methods for sensing and modeling of cognitive capabilities and …
Computational Intelligence-Based Disease Severity Identification: A Review of Multidisciplinary Domains
Disease severity identification using computational intelligence-based approaches is
gaining popularity nowadays. Artificial intelligence and deep-learning-assisted approaches …
gaining popularity nowadays. Artificial intelligence and deep-learning-assisted approaches …