Kinesia-D: Ambulatory Parkinson's Disease Dyskinesia Monitor for Drug Therapy Tit

Kinesia-D：用于药物治疗的动态帕金森病运动障碍监测仪

• 批准号: 8371425
• 负责人: Thomas Oliver Mera
• 金额: $ 7.47万
• 依托单位: GREAT LAKES NEUROTECHNOLOGIES
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-02-01 至 2013-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8371425
• 关键词: Activities of Daily Living; Address; Adult; Adverse effects; Adverse event; Affect; Aging; Algorithms; Bradykinesia; Caregivers; Chorea; Chronic; Clinical; Clinical Research; Clinical Trials; Clinical Trials Design; Computer software; Custom; Detection; Development; Diagnosis; Disease; Dopamine; Dose; Dyskinetic syndrome; Early Diagnosis; Elderly; Equilibrium; Evaluation; Exhibits; Feedback; Home environment; Impairment; Incidence; Individual; Involuntary Movements; Levodopa; Life; Measures; Medicare; Methods; Minor; Modification; Monitor; Motion; Motor; Motor Manifestations; Movement; Movement Disorders; Office Visits; Parkinson Disease; Patient Monitoring; Patients; Pattern; Pharmaceutical Preparations; Pharmacotherapy; Phase; Population; Process; Recording of previous events; Regimen; Reporting; Research; Research Personnel; Rural; Self Assessment; Severities; Symptoms; System; Technology; Testing; Therapeutic; Time; Treatment outcome; Tremor; United States; Wireless Technology; abnormal involuntary movement; base; clinical decision-making; cost; cost effective; data exchange; design; diaries; disability; effective therapy; experience; motor control; novel therapeutics; patient population; prototype; public health relevance; sensor; success

项目成果

Deep Learning for Medication Assessment of Individuals with Parkinson's Disease Using Wearable Sensors.

• DOI: 10.1109/embc.2018.8513344
• 发表时间: 2018-07-01
• 期刊: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
• 作者: Hssayeni, Murtadha D;Adams, Jamie L;Ghoraani, Behnaz
• 通讯作者: Ghoraani, Behnaz

Dyskinesia Severity Estimation in Patients with Parkinson's Disease Using Wearable Sensors and A Deep LSTM Network.

使用可穿戴传感器和深度 LSTM 网络估计帕金森病患者的运动障碍严重程度。

• DOI: 10.1109/embc44109.2020.9176847
• 发表时间: 2020
• 期刊: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
• 作者: Hssayeni,MurtadhaD;Jimenez-Shahed,Joohi;Burack,MichelleA;Ghoraani,Behnaz
• 通讯作者: Ghoraani,Behnaz