• DocumentCode
    710946
  • Title

    Multi-sensory system for monitoring dyskinesia in movement disorders

  • Author

    Lennon, Thomas ; Bernier, Trevor ; Tamayo, Daniel ; Goldberg, Cody ; Mankodiya, Kunal

  • Author_Institution
    Dept. of Electr., Comput. & Biomed. Eng, Univ. of Rhode Island, Kingston, RI, USA
  • fYear
    2015
  • fDate
    17-19 April 2015
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Movement disorders such as Parkinson´s disease, ADHD, essential tremor disorder and restless leg syndrome can be difficult to treat due to the complexity of monitoring medication efficacy. Using our multi-sensory system for monitoring dyskinesia disorders, physicians can get insight into the everyday symptoms of their patients. The system we have designed includes an intelligent wristband that has motion sensors to collect and send high quality data of dyskinesia to an application on an Android mobile phone where our signal processing algorithms process the data to be used by physicians for remote healthcare management.
  • Keywords
    biomechanics; biomedical equipment; health care; intelligent sensors; medical disorders; medical signal processing; motion measurement; patient monitoring; smart phones; telemedicine; ADHD; Android mobile phone; Parkinson´s disease; dyskinesia monitoring; essential tremor disorder; high-quality data; intelligent wristband; medication efficacy; motion sensors; movement disorders; multisensory system; remote healthcare management; restless leg syndrome; signal processing algorithms; Complexity theory; Decision support systems; Monitoring; Parkinson´s disease; Smart phones; Android; Parkinson´s disease; mobile health; wearable;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering Conference (NEBEC), 2015 41st Annual Northeast
  • Conference_Location
    Troy, NY
  • Print_ISBN
    978-1-4799-8358-2
  • Type

    conf

  • DOI
    10.1109/NEBEC.2015.7117226
  • Filename
    7117226