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一种用于测量痉挛性肌肉紧张性牵张反射反应的改进方法。

An improved approach for measuring the tonic stretch reflex response of spastic muscles.

作者信息

Silva Maristella Borges, Silva Andrei Nakagawa, Naves Eduardo Lázaro Martins, Palomari Evanisi Teresa, Soares Alcimar Barbosa

机构信息

Biomedical Engineering Laboratory, Faculty of Electrical Engineering, Federal University of Uberlandia, Brazil.

Department of Structural and Functional Biology, Institute of Biology, Campinas State University, Brazil.

出版信息

Comput Biol Med. 2017 Jan 1;80:166-174. doi: 10.1016/j.compbiomed.2016.12.001. Epub 2016 Dec 2.

Abstract

We propose a new method for detecting the onset of the stretch reflex response for assessment of spasticity based on the Tonic Stretch Reflex Threshold (TSRT). Our strategy relies on a three-stage approach to detect the onset of the reflex EMG activity: (i) Reduction of baseline activity by means of Empirical Mode Decomposition; (ii) Extraction of the complex envelope of the EMG signal by means of Hilbert Transform (HT) and; iii) A double threshold decision rule. Simulated and real EMG data were used to evaluate and compare our method (TSRT-EHD) against three other popular methods described in the literature to assess TSRT ('Kim', 'Ferreira' and 'Blanchette'). Four different groups of signals containing simulated evoked stretch reflex EMG activities were generated: groups A and B without spontaneous EMG activity at rest and signal-to-noise ratio (SNR) of 10dB and 20dB respectively; groups C and D with spontaneous EMG activity at rest, as observed frequently in spastic muscles, and SNR of 10dB and 20dB respectively. The results with simulated data showed a significantly higher accuracy of TSRT-EHD for detecting the onset of the reflex EMG activity in groups C and D when compared to the other methods. Analyses using real data from five post stroke spastic subjects demonstrated that the TSRTs generated by each method were dramatically different from one another. Nevertheless, only TSRT-EHD provided valid measures across all subjects.

摘要

我们提出了一种基于强直伸展反射阈值(TSRT)检测伸展反射反应起始以评估痉挛的新方法。我们的策略依赖于一种三阶段方法来检测反射肌电图活动的起始:(i)通过经验模态分解降低基线活动;(ii)通过希尔伯特变换(HT)提取肌电图信号的复包络;以及(iii)双阈值决策规则。使用模拟和真实的肌电图数据来评估和比较我们的方法(TSRT-EHD)与文献中描述的其他三种评估TSRT的常用方法(“Kim”、“Ferreira”和“Blanchette”)。生成了四组不同的包含模拟诱发伸展反射肌电图活动的信号:A组和B组在静息时无自发肌电图活动,信噪比(SNR)分别为10dB和20dB;C组和D组在静息时有自发肌电图活动,这在痉挛肌肉中经常观察到,信噪比分别为10dB和20dB。模拟数据的结果表明,与其他方法相比,TSRT-EHD在检测C组和D组反射肌电图活动起始方面具有显著更高的准确性。对五名中风后痉挛患者的真实数据进行分析表明,每种方法生成的TSRT彼此差异很大。然而,只有TSRT-EHD在所有受试者中都提供了有效的测量结果。

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