Wearable Assistant for Parkinson's Disease Patients With the Freezing of Gait Symptom

被引:450
作者
Baechlin, Marc [1 ]
Plotnik, Meir [2 ]
Roggen, Daniel [1 ]
Maidan, Inbal [2 ]
Hausdorff, Jeffrey M. [2 ,3 ,4 ]
Giladi, Nir [2 ]
Troester, Gerhard [1 ]
机构
[1] Swiss Fed Inst Technol, Wearable Comp Lab, CH-8092 Zurich, Switzerland
[2] Tel Aviv Sourasky Med Ctr, Lab Gait & Neurodynam, IL-64239 Tel Aviv, Israel
[3] Tel Aviv Univ, Dept Phys Therapy, Sackler Fac Med, Tel Aviv, Israel
[4] Harvard Univ, Sch Med, Boston, MA 02115 USA
来源
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE | 2010年 / 14卷 / 02期
关键词
Assistive cueing; context awareness; freezing of gait (FOG); Parkinson's disease (PD); personal health assistant; QUESTIONNAIRE;
D O I
10.1109/TITB.2009.2036165
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we present a wearable assistant for Parkinson's disease (PD) patients with the freezing of gait ( FOG) symptom. This wearable system uses on-body acceleration sensors to measure the patients' movements. It automatically detects FOG by analyzing frequency components inherent in these movements. When FOG is detected, the assistant provides a rhythmic auditory signal that stimulates the patient to resume walking. Ten PD patients tested the system while performing several walking tasks in the laboratory. More than 8 h of data were recorded. Eight patients experienced FOG during the study, and 237 FOG events were identified by professional physiotherapists in a post hoc video analysis. Our wearable assistant was able to provide online assistive feedback for PD patients when they experienced FOG. The system detected FOG events online with a sensitivity of 73.1% and a specificity of 81.6%. The majority of patients indicated that the context-aware automatic cueing was beneficial to them. Finally, we characterize the system performance with respect to the walking style, the sensor placement, and the dominant algorithm parameters.
引用
收藏
页码:436 / 446
页数:11
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