![]() At T1, neither strength loss nor modification of the basal ANS patterns were found. Contralateral handgrip strength and ANS parameters, such as heart rate variability, impedance cardiography values, and respiratory sinus arrythmia, were measured 24 h before (T0) and 10 days after (T1) the ultrasound (US)-guided BoNT-A injection. We enrolled 15 hemiparetic stroke survivors affected by PSS already addressed to BoNT-A treatment. Stroke itself is a cause of motor disability and ANS impairment therefore, it is mandatory to prevent any source of additional loss of strength and adjunctive ANS disturbance. Due to its mechanism of action and the administration method, some authors raised concern about its possible systemic diffusion leading to contralateral muscle weakness and autonomic nervous system (ANS) alterations. This, in turn, implies that the difference in estimation of the diagnostic-relevant parameters is small, which suggests that the method can automatically provide precise clinical information.īotulinum Neurotoxin type-A (BoNT-A) is the treatment of choice for focal post-stroke spasticity (PSS). We find high correlations between the results obtained from the algorithm and annotated by an expert. The developed algorithm is based on Empirical Mode Decomposition (EMD)-an effective technique for processing and analyzing various types of non-stationary signals. The aim of this study is to propose a novel method that allows us to overcome these limitations. The solution to this problem is, however, quite challenging with regard to the high sensitivity of the ICG technique to the noise and varying morphology of the acquired signals. It is, therefore, necessary to find an algorithm that is able to assess their positions with great precision. Abstract: The accurate detection of fiducial points in the impedance cardiography signal (ICG) has a decisive impact on the proper estimation of diagnostic parameters such as stroke volume or cardiac output. A New Method of Identifying Characteristic Points in the Impedance Cardiography Signal Based on Empirical Mode Decomposition.
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