Objective assessment of Parkinson's disease symptoms severity: A review

• Published in: 2015 2nd International Conference on Biomedical Engineering (ICoBE) pp. 1 - 6
• Main Authors: Oung, Q. W., Hariharan, M., Lee, H. L., Basah, S. N., Yaacob, S., Sarillee, M., Lee, C. H.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.03.2015
• Subjects: Accelerometers; Accuracy; Biological neural networks; Correlation; Parkinson's disease; Parkinson's Disease (PD); patients with Parkinson(PWP); Speech; speech signal; Unified Parkinson Disease Rating Scale (UPDRS); wearable sensors
• DOI: 10.1109/ICoBE.2015.7235890

Parkinson's disease (PD) is placed as second supreme neurodegenerative sicknesses after Alzheimer's. It is characterized by dopaminergic deficiencies in the mid brain that impair motor function. Due to rise in proportion of elderly people the number of patients with Parkinson (PWP) are expected to increase for the coming 25 years. Until now, there are still no solutions towards PD, although medication and surgical intervention can temporarily hold back the progression of the symptom. Therefore, early diagnosis is critical in order in improving PWP disease quality of life and prolong longevity, where many of them will be substantially dependent on clinical intervention. The investigators begin exploring motor disorders and the likelihood of applying various types of sensor to measure the significance of clinical involvements on the quality of movement observed while PWP accomplished different tasks. The focus of this review is to provide a discussion of the capabilities of wearable technology and audio sensors in the assessment of PD symptoms severity.