A mobile-based tremor detector application for patients with Parkinson's disease

Pang Xin Yi, Maryati Mohd. Yusof, Kalaivani Chelappan

Research output: Contribution to journalArticle

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.

Original languageEnglish
Pages (from-to)129-135
Number of pages7
JournalInternational Journal of Advanced Computer Science and Applications
Volume10
Issue number7
Publication statusPublished - 1 Jan 2019

Fingerprint

Detectors
Smartphones
Studios
Mobile phones
Accelerometers
Software engineering

Keywords

  • Agile
  • Mhealth
  • Mobile application
  • Parkinson
  • Tremor detector

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

A mobile-based tremor detector application for patients with Parkinson's disease. / Yi, Pang Xin; Mohd. Yusof, Maryati; Chelappan, Kalaivani.

In: International Journal of Advanced Computer Science and Applications, Vol. 10, No. 7, 01.01.2019, p. 129-135.

Research output: Contribution to journalArticle

@article{f8a300ad4b524952bc373fe5e1b7a533,
title = "A mobile-based tremor detector application for patients with Parkinson's disease",
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.",
keywords = "Agile, Mhealth, Mobile application, Parkinson, Tremor detector",
author = "Yi, {Pang Xin} and {Mohd. Yusof}, Maryati and Kalaivani Chelappan",
year = "2019",
month = "1",
day = "1",
language = "English",
volume = "10",
pages = "129--135",
journal = "International Journal of Advanced Computer Science and Applications",
issn = "2158-107X",
publisher = "Science and Information Organization",
number = "7",

}

TY - JOUR

T1 - A mobile-based tremor detector application for patients with Parkinson's disease

AU - Yi, Pang Xin

AU - Mohd. Yusof, Maryati

AU - Chelappan, Kalaivani

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

AB - 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.

KW - Agile

KW - Mhealth

KW - Mobile application

KW - Parkinson

KW - Tremor detector

UR - http://www.scopus.com/inward/record.url?scp=85070101901&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85070101901&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:85070101901

VL - 10

SP - 129

EP - 135

JO - International Journal of Advanced Computer Science and Applications

JF - International Journal of Advanced Computer Science and Applications

SN - 2158-107X

IS - 7

ER -