Motor Ingredients Derived from a Wearable Sensor-Based Virtual Reality System for Frozen Shoulder Rehabilitation
المؤلفون المشاركون
Chen, Shih-Yin
Lee, Si-Huei
Yeh, Shih-Ching
Chan, Rai-Chi
Yang, Geng
Zheng, Li-Rong
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-08-23
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Objective.
This study aims to extract motor ingredients through data mining from wearable sensors in a virtual reality goal-directed shoulder rehabilitation (GDSR) system and to examine their effects toward clinical assessment.
Design.
A single-group before/after comparison.
Setting.
Outpatient research hospital.
Subjects.
16 patients with frozen shoulder.
Interventions.
The rehabilitation treatment involved GDSR exercises, hot pack, and interferential therapy.
All patients first received hot pack and interferential therapy on the shoulder joints before engaging in the exercises.
The GDSR exercise sessions were 40 minutes twice a week for 4 weeks.
Main Measures.
Clinical assessments included Constant and Murley score, range of motion of the shoulder, and muscle strength of upper arm as main measures.
Motor indices from sensor data and task performance were measured as secondary measures.
Results.
The pre- and posttest results for task performance, motor indices, and the clinical assessments indicated significant improvement for the majority of the assessed items.
Correlation analysis between the task performance and clinical assessments revealed significant correlations among a number of items.
Stepwise regression analysis showed that task performance effectively predicted the results of several clinical assessment items.
Conclusions.
The motor ingredients derived from the wearable sensor and task performance are applicable and adequate to examine and predict clinical improvement after GDSR training.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Lee, Si-Huei& Yeh, Shih-Ching& Chan, Rai-Chi& Chen, Shih-Yin& Yang, Geng& Zheng, Li-Rong. 2016. Motor Ingredients Derived from a Wearable Sensor-Based Virtual Reality System for Frozen Shoulder Rehabilitation. BioMed Research International،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1098678
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Lee, Si-Huei…[et al.]. Motor Ingredients Derived from a Wearable Sensor-Based Virtual Reality System for Frozen Shoulder Rehabilitation. BioMed Research International No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1098678
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Lee, Si-Huei& Yeh, Shih-Ching& Chan, Rai-Chi& Chen, Shih-Yin& Yang, Geng& Zheng, Li-Rong. Motor Ingredients Derived from a Wearable Sensor-Based Virtual Reality System for Frozen Shoulder Rehabilitation. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1098678
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1098678
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر