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
Link To Document :
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