Role of data measurement characteristics in the accurate detection of Parkinson’s disease symptoms using wearable sensors

被引：0
|
作者：
Nicholas Shawen
Megan K. O’Brien
Sanjeev Venkatesan
Luca Lonini
Tanya Simuni
Jamie L. Hamilton
Roozbeh Ghaffari
John A. Rogers
Arun Jayaraman
机构：
[1] Shirley Ryan AbilityLab,Max Nader Lab for Rehabilitation Technologies and Outcomes
[2] Northwestern University,Feinberg School of Medicine
[3] Northwestern University,Department of Physical Medicine and Rehabilitation
[4] University of Illinois at Urbana-Champagne,Department of Computer Science
[5] Northwestern University,Department of Neurology
[6] The Michael J. Fox Foundation for Parkinson’s Research,Center for Bio
[7] Northwestern University,Integrated Electronics, Departments of Materials Science and Engineering, Biomedical Engineering, Chemistry, Mechanical Engineering, Electrical Engineering and Computer Science, Neurological Surgery, Simpson Querrey Institute for Na
[8] Northwestern University,Department of Physical Therapy and Human Movement Sciences
来源：
Journal of NeuroEngineering and Rehabilitation | / 17卷
关键词：
Parkinson’s disease; Wearable sensors; Soft wearables; Machine learning; Symptom detection; Tremor; Bradykinesia; Daily activities;
D O I：
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学科分类号：
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