A smartphone-based architecture to detect and quantify freezing of gait in Parkinson’s disease
详细信息 查看全文
- 作者：Marianna Capeccia ; 1 ; m.capecci@univpm.it" class="auth_mail" title="E-mail the corresponding author ; m.g.ceravolo@univpm.it" class="auth_mail" title="E-mail the corresponding author ; Lucia Pepab ; 1 ; l.pepa@univpm.it" class="auth_mail" title="E-mail the corresponding author ; Federica Verdinib ; f.verdini@univpm.it" class="auth_mail" title="E-mail the corresponding author ; Maria Gabriella Ceravoloa
- 关键词：Freezing of gait ; Smartphone ; Accelerometer ; Wearable system ; Parkinson&rsquo ; s disease
- 刊名：Gait & Posture
- 出版年：2016
- 出版时间：October 2016
- 年：2016
- 卷：50
- 期：Complete
- 页码：28-33
- 全文大小：592 K
文摘
- •
A smartphone application for real-time detection of freezing of gait is presented.
- •
The application is tested on 20 patients with Parkinson’s disease and FOG.
- •
An innovative algorithm is compared to a traditional one.
- •
The architecture is highly reliable in FOG detection, even if it occurs at turning.