[Methodologic studies in dynamic EMG mapping based on the Hilbert transformation].

H Witte, N P Schumann, G Griessbach, H C Scholle, P Eskelinen
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引用次数: 0

Abstract

On the basis of Discrete Hilbert Transformation spectral parameters for dynamic EMG analysis can be introduced. Within analysis intervals which are used in the same manner as in spectral analysis, the momentary power of EMG frequency bands can be computed as time series of the same interval duration. A close connection exists between momentary power and the current phenomenology of power spectral analysis because the momentary power of a defined frequency band can be seen as the exact dynamic equivalent of the corresponding mean power value deduced from the power spectrum. A multichannel EMG recording (greater than or equal to 16 channels) makes the representation of the topographical distribution of the spectral parameter by a coloured map possible. Additionally, the momentary power can be used to calculate map sequences. In this way, changes of EMG activity can be quantified by map sequences of an arbitrary time resolution. By calculation of momentary frequency via DHT an artefact detection scheme for ECG interference can be suggested. A completion of this methodology can be carried out by applications of adaptive filtration procedures. Using this concept of EMG processing, a new and common methodical basis of EMG power spectral analysis can be introduced.

[基于Hilbert变换的动态肌电图映射方法研究]。
在离散希尔伯特变换的基础上,引入动态肌电分析的频谱参数。在与频谱分析相同的分析间隔内,肌电频段的瞬时功率可以计算为相同间隔持续时间的时间序列。瞬时功率与当前功率谱分析的现象学之间存在着密切的联系,因为定义频带的瞬时功率可以看作是从功率谱中推导出的相应平均功率值的精确动态等效。多通道肌电信号记录(大于或等于16通道)使得用彩色地图表示频谱参数的地形分布成为可能。此外,瞬时功率可用于计算映射序列。这样,肌电活动的变化可以通过任意时间分辨率的图序列来量化。通过DHT计算瞬时频率,提出了心电干扰的伪影检测方案。这种方法的完善可以通过应用自适应过滤程序来实现。利用这种肌电信号处理的概念,可以为肌电信号功率谱分析提供一种新的、通用的方法基础。
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