Abstract
Parkinson’s disease affects millions of people worldwide and its frequency is steadily increasing. No cure is currently available for Parkinson’s disease patients, and most medications only treat the symptoms. This treatment depends on the quantification of Parkinson’s symptoms, such as hand tremors. The most commonly used method to measure human tremors is a severity scale, which lacks accuracy because it is based on the subjectivity of neurologist review. Furthermore, the use of severity scales prevents the extraction of information from tremor activity, such as speed, amplitude, and frequency. Therefore, a mobile application was developed to measure the hand tremor level of Parkinson’s patients using a mobile phone-based accelerometer. Agile method was used to develop this application, and Android Studio and Android Software Development Kit were utilized. The application runs on an Android smartphone. This application allows patients to identify their tremor activity and subsequently seek relevant medical advice. In addition, a neurologist can monitor tremor activity of patients by analyzing the records generated from this application.
Highlights
The increasing number of patients with Parkinson’s disease has resulted in the prevalence of many symptoms, such as tremors, stiffness, bradykinesia, foot cramps, and postural alteration [1]
Neurologists can obtain readings on frequency, amplitude, and speed from the tremor activity of a patient generated from this app
The app was designed for three types of user: Parkinson’s disease patients, neurologists, and regular users
Summary
The increasing number of patients with Parkinson’s disease has resulted in the prevalence of many symptoms, such as tremors, stiffness, bradykinesia (slowness of movement), foot cramps, and postural alteration [1]. Procedures for monitoring tremor of patients are quite challenging because they require patients to undergo tests, and neurologists must obtain a detailed history of patient’s symptoms prior to their analysis [2]. In response to the aforementioned problems, several quantitative methods were developed by previous researchers. These methods include electromagnetic detector device [3], mechanical linkage devices for fingertips [4], electromyography [5], wearable sensors [6], miniature gyroscopes [7], digitizer tablets [8], tremor pens [9], and accelerators [10]. A mobile application for detecting tremors for patients with Parkinson’s disease was developed at an affordable cost and can be downloaded onto a user’s smartphone.
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