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：

暂无

中图分类号：

学科分类号：

摘要：

引用

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