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...

• Autore principale: Pozo Ruiz, Santiago Alexis (author)
• Natura: bachelorThesis
• Lingua: eng
• Pubblicazione: 2021
• Soggetti: Electroencefalografícas; Aprendizaje automático; Procesamiento de señales; Ingeniería de datos; Enfermedad de parkinson; Electroencephalographic; Machine learning; Signal processing; Data engineering; Parkinson’s disease
• Accesso online: http://repositorio.yachaytech.edu.ec/handle/123456789/311