Multimodal Quantification of Postural Tremor

The recent decade has seen deadly viruses likeHMPV,SARS-CoV-2 (COVID-19), Ebola Virus etc which can be diagnosed and cured. Also, various preventive medicines and vaccines are invented for pre- venting the virus from affecting the individuals. There are other dis-eases which are predominantly getting increased in geriatric population in the recent years like Alzheimer’s, Parkinson’s, Dementia, Sleep Disor-der. These can be categorized as neurodegenerative diseases. The major challenge in these is that the neurologists are not able to diagnose this disease at an early stage and the progression of disease is quite rapid. When these diseases are detected and diagnosed at an early stage, there is a strong possibility to reduce the death rate and increase the patient’s life span. This paper focuses on analysing the various methodologies and techniques currently available for diagnosing and detecting the major symptoms in Parkinson’s patients termed as Tremor. The tremor can be either Rest tremor or Postural tremor. This is an early symptom of any Parkinson’s patient. When this symptom is detected in an early stage, it can be a great relief to the care takers and also help the patient to lead a smooth life. A compressive survey of the methodologies, challenges and future enhancements are highlighted in this paper. The final results obtained is also analysed using parameters like Precision, Recall and Accuracy.