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Early Detection of Parkinson’s Disease Using Deep Learning and Machine Learning | IEEE Journals & Magazine | IEEE Xplore

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Parkinson’s disease (PD) is becoming an important degenerative disease of the central nervous system, affecting the quality of lives of millions of seniors worldwide [1]. Symptoms of PD can progress differently from one person to another because of the variety of the disease. Patients with Parkinson may show symptoms including tremors mainly at rest. Different types of tremors are possible: tremors in hands, limb rigidity, and gait and balance problems. Generally, two types of symptoms of PD can be distinguished: movement-related (i.e., motor) and unrelated to movement (non-motor). In fact, patients showing non-motor symptoms are more affected than whose main symptoms are motor. Non-motor symptoms may include depression, sleep behavior disorders, loss of sense of smell, and cognitive impairment. It has been reported by the Centers for Disease Control and Prevention (CDC) that PD complications are ranked as the 14th leading causes of death in the United States. To date, the cause of PD

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