Parkinson’s disease diagnosis using electroencephalographic (EEG) signal processing and machine learning techniques

Parkinson’s disease diagnosis using electroencephalographic (EEG) signal processing and machine learning techniques

Parkinson’s disease is the second most common neurological disorder after Alzheimer, inflicted by an increase of brain cells death, i.e., the neurons. Its primary symptoms are an unstable posture, slow movements, and tremors; leading to a decrease in the quality of life of the individuals under this...

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Bibliographic Details
Main Author: Pozo Ruiz, Santiago Alexis (author)
Format: bachelorThesis
Language:eng
Published: 2021
Subjects:
Electroencefalografícas
Aprendizaje automático
Procesamiento de señales
Ingeniería de datos
Enfermedad de parkinson
Electroencephalographic
Machine learning
Signal processing
Data engineering
Parkinson’s disease
Online Access:http://repositorio.yachaytech.edu.ec/handle/123456789/311
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