Measuring hand-arm steadiness for post-stroke and Parkinson's Disease patients using SIERRA framework

机译：使用SIERRA框架测量中风后和帕金森氏病患者的手臂稳定性

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In this paper, we highlight the problem of measuring hand steadiness for the patients with Parkinson's Disease or those who need a rehabilitation program such as brain post-stroke patients. Using the accelerometer, we measure the accelerations against both the body motion and gravity, which is very useful for measuring postural orientations and body movement. In this paper, we present another method for hand steadiness measurement using three-axis accelerometer. A framework named SIERRRA is developed for this purpose to obtain and evaluate the hand reach movements.

机译：在本文中，我们重点介绍了测量帕金森氏病患者或需要康复计划的患者（例如脑卒中后患者）的手部稳定性的问题。使用加速度计，我们可以测量针对身体运动和重力的加速度，这对于测量姿势方向和身体运动非常有用。在本文中，我们提出了另一种使用三轴加速度计进行手稳定性测量的方法。为此，开发了一个名为SIERRRA的框架，以获取和评估手部的移动。

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来源
《2010 IEEE International Workshop on Medical Measurements and Applications Proceedings》|2010年|P.6-9|共4页
会议地点 Ottawa(CA);Ottawa(CA)
作者
Alhamid Mohammed F.; Alamri Atif; El Saddik Abdulmotaleb;
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作者单位

Multimedia Communications Research Laboratory - MCRlab, School of Information Technology and Engineering - University of Ottawa, Canada;

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会议组织
原文格式 PDF
正文语种 eng
中图分类医药卫生器械;
关键词
Augmented Reality; hand based rehabilitation; hand steadiness; tremor;

机译：增强现实;基于手的康复;稳定的手;震颤;

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专利

1. Post-stroke totally recovery of tremor in a patient with Parkinson’s disease [J] . Halil Onder, Esen Saka Neurological sciences . 2017,第6期

机译：中风在帕金森病的患者中完全恢复了震颤
2. A Machine Learning Framework for Gait Classification Using Inertial Sensors: Application to Elderly, Post-Stroke and Huntington’s Disease Patients [J] . Andrea Mannini, Diana Trojaniello, Andrea Cereatti, Sensors . 2016,第1期

机译：使用惯性传感器进行步态分类的机器学习框架：应用于老年人，中风和亨廷顿舞蹈病患者
3. A Machine Learning Framework for Gait Classification Using Inertial Sensors: Application to Elderly, Post-Stroke and Huntington’s Disease Patients [J] . Andrea Mannini, Diana Trojaniello, Andrea Cereatti, Sensors . 2016,第1期

机译：使用惯性传感器进行步态分类的机器学习框架：应用于老年人，中风和亨廷顿舞蹈病患者
4. Measuring hand-arm steadiness for post-stroke and Parkinson's Disease patients using SIERRA framework [C] . IEEE International Workshop on Medical Measurements and Applications Proceedings . 2010

机译：使用塞拉框架测量后冲程和帕金森病患者的手臂稳定性
5. Comparison of selected measures of the functional independence measure (FIM) with a technique used to quantify physical activity with patients post-stroke [D] . Reeves, Wendi S. 2004

机译：功能独立性量度（FIM）的选定量度与用于量化中风后患者身体活动的技术的比较
6. A Machine Learning Framework for Gait Classification Using Inertial Sensors: Application to Elderly Post-Stroke and Huntington’s Disease Patients [O] . Andrea Mannini, Diana Trojaniello, Andrea Cereatti, 2016

机译：使用惯性传感器进行步态分类的机器学习框架：应用于老年人中风和亨廷顿舞蹈病患者
7. PND21 SYMPTOM SEVERITY IN PARKINSON'S DISEASE SCALE (SSPDS): A NEW PATIENT-REPORTED OUTCOME MEASURE OF PARKINSON'S DISEASE SEVERITY [O] . Schröder S, Schaefer M, Martus P 2008

机译：PND21帕金森病严重程度（SSPDS）的症状严重程度：帕金森病严重程度的患者报告新结局

Measuring hand-arm steadiness for post-stroke and Parkinson's Disease patients using SIERRA framework

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