JJEM: Special Edition 2 (December 2024)
JJEM: Special Edition 2 (December 2024)
2024-12-08
Parkinson's disease detection.
Sunidhi H Ashwath, Arunkumar K L.
In the current era, everything like our whole lifestyle is dependent on the technology. Similarly, technology in the healthcare department plays an important role, technology is helping in healthcare in many ways to detect the various diseases and symptoms, one of such disease is Parkinson’s disease. Parkinson’s disease (PD) is among the most common age-related neurodegenerative disorders that mainly affects the motion related symptoms. It is caused as an outcome of the degeneration of dopamine-producing neurons which leads to the symptoms like having tremors while at rest, slow movements in the body, not having a stable posture or like having the rigidity in the muscles. Other symptoms such as non-motor symptoms include cognitive impairment, disturbances in sleep, disorders in mood. This is progressive in nature which affects the nervous system and the body parts which are controlled by the nerves. The disease does not have a cure but some medications can be used to get rid of few symptoms that occurs by the disease. This work focuses on distinguishing an individual between the Parkinson’s disease people and normal people. This discrimination is done on the basis of the body posture of an individual. So, it is much preferable and necessary to detect the disease and it could be avoided at its progress. In this project Parkinson’s Disease can be detected using deep learning (DL) and YOLO (You Only Look Once) algorithm which helps to distinguish between PD people and normal people.
Parkinson’s disease, deep learning, YOLO