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研制一种触觉性肘痉挛模拟器(HESS),以提高痉挛临床评估的准确性和可靠性。

Development of a Haptic Elbow Spasticity Simulator (HESS) for improving accuracy and reliability of clinical assessment of spasticity.

机构信息

National Institutes of Health, Clinical Center, Rehabilitation Medicine Department, Bethesda, MD 20892, USA.

出版信息

IEEE Trans Neural Syst Rehabil Eng. 2012 May;20(3):361-70. doi: 10.1109/TNSRE.2012.2195330. Epub 2012 May 2.

DOI:10.1109/TNSRE.2012.2195330
PMID:22562769
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3579668/
Abstract

This paper presents the framework for developing a robotic system to improve accuracy and reliability of clinical assessment. Clinical assessment of spasticity tends to have poor reliability because of the nature of the in-person assessment. To improve accuracy and reliability of spasticity assessment, a haptic device, named the HESS (Haptic Elbow Spasticity Simulator) has been designed and constructed to recreate the clinical "feel" of elbow spasticity based on quantitative measurements. A mathematical model representing the spastic elbow joint was proposed based on clinical assessment using the Modified Ashworth Scale (MAS) and quantitative data (position, velocity, and torque) collected on subjects with elbow spasticity. Four haptic models (HMs) were created to represent the haptic feel of MAS 1, 1+, 2, and 3. The four HMs were assessed by experienced clinicians; three clinicians performed both in-person and haptic assessments, and had 100% agreement in MAS scores; and eight clinicians who were experienced with MAS assessed the four HMs without receiving any training prior to the test. Inter-rater reliability among the eight clinicians had substantial agreement (κ = 0.626). The eight clinicians also rated the level of realism ( 7.63 ± 0.92 out of 10) as compared to their experience with real patients.

摘要

本文提出了开发机器人系统的框架,以提高临床评估的准确性和可靠性。由于现场评估的性质,痉挛的临床评估往往可靠性较差。为了提高痉挛评估的准确性和可靠性,设计并构建了一种名为 HESS(触觉肘部痉挛模拟器)的触觉设备,根据基于定量测量的肘部痉挛的临床“感觉”进行重建。根据使用改良 Ashworth 量表(MAS)进行的临床评估以及在患有肘部痉挛的受试者上收集的定量数据(位置、速度和扭矩),提出了代表痉挛肘部关节的数学模型。创建了四个触觉模型(HM)来代表 MAS 1、1+、2 和 3 的触觉感觉。四个 HM 由经验丰富的临床医生进行评估;三位临床医生进行了现场和触觉评估,并且 MAS 评分完全一致;八位经验丰富的 MAS 评估了四个 HM,在测试前没有接受任何培训。八位临床医生之间的评分者间可靠性具有高度一致性(κ=0.626)。八位临床医生还将逼真度评分(满分 10 分,得分为 7.63±0.92)与他们与真实患者的经验进行了比较。

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本文引用的文献

1
Development of an upper limb patient simulator for physical therapy exercise.用于物理治疗锻炼的上肢患者模拟器的开发。
IEEE Int Conf Rehabil Robot. 2011;2011:5975510. doi: 10.1109/ICORR.2011.5975510.
2
Haptic recreation of elbow spasticity.肘部痉挛的触觉再现。
IEEE Int Conf Rehabil Robot. 2011;2011:5975462. doi: 10.1109/ICORR.2011.5975462.
3
Accuracy and reliability of haptic spasticity assessment using HESS (Haptic Elbow Spasticity Simulator).使用HESS(触觉肘部痉挛模拟器)进行触觉痉挛评估的准确性和可靠性。
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:8527-30. doi: 10.1109/IEMBS.2011.6092104.
4
Inter-rater reliability of the Modified Ashworth Scale and modified Modified Ashworth Scale in assessing poststroke elbow flexor spasticity.改良Ashworth量表和改良改良Ashworth量表在评估中风后肘屈肌痉挛方面的评分者间信度。
Int J Rehabil Res. 2011 Mar;34(1):59-64. doi: 10.1097/MRR.0b013e32833d6cdf.
5
Reliability of the Tardieu Scale for assessing spasticity in children with cerebral palsy.Tardieu 量表评估脑瘫儿童痉挛的可靠性。
Arch Phys Med Rehabil. 2010 Mar;91(3):421-8. doi: 10.1016/j.apmr.2009.11.017.
6
Characterization of spasticity in cerebral palsy: dependence of catch angle on velocity.脑瘫痉挛特征分析:捕捉角依赖于速度。
Dev Med Child Neurol. 2010 Jun;52(6):563-9. doi: 10.1111/j.1469-8749.2009.03602.x. Epub 2010 Jan 28.
7
Upper limb motor and sensory impairments in children with hemiplegic cerebral palsy. Can they be measured reliably?偏瘫型脑瘫患儿上肢运动和感觉障碍。它们的测量可靠吗?
Disabil Rehabil. 2010;32(5):409-16. doi: 10.3109/09638280903171469.
8
Modified Ashworth scale reliability for measurement of lower extremity spasticity among patients with SCI.改良 Ashworth 量表评估 SCI 患者下肢痉挛的可靠性。
Spinal Cord. 2010 Mar;48(3):207-13. doi: 10.1038/sc.2009.107. Epub 2009 Sep 29.
9
Stop using the Ashworth Scale for the assessment of spasticity.停止使用 Ashworth 量表评估痉挛。
J Neurol Neurosurg Psychiatry. 2010 Jan;81(1):46-52. doi: 10.1136/jnnp.2009.177071. Epub 2009 Sep 21.
10
Spasticity measurement based on tonic stretch reflex threshold in stroke using a portable device.使用便携式设备基于中风患者的强直性牵张反射阈值进行痉挛测量。
Clin Neurophysiol. 2008 Oct;119(10):2329-37. doi: 10.1016/j.clinph.2008.07.215. Epub 2008 Aug 31.