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Neural Offset Time Evaluation in Surface Respiratory Signals during Controlled Respiration

文献类型： 会议论文

第一作者： Luis Estrada

作者： Luis Estrada 1 ; Leonardo Sarlabous 1 ; Manuel Lozano-García 1 ; Raimon Jané 1 ; Abel Torres 1 ;

作者机构： 1.the Institut de Bioenginyeria de Catalunya (IBEC), the Barcelona Institute of Science and Technology (BIST) and the Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN). c/. Baldiri Reixac 4, 08028, Barcelona, Spain

关键词： Neural Offset Time;Surface Respiratory Signals;Controlled Respiration

会议名称： International Conference of the IEEE Engineering in Medicine and Biology Society

主办单位：

页码： 2344-2347

摘要： The electrical activity of the diaphragm measured by surface electromyography (sEMGdi) provides indirect information on neural respiratory drive. Moreover, it allows evaluating the ventilatory pattern from the onset and offset (ntoff) estimation of the neural inspiratory time. sEMGdi amplitude variation was quantified using the fixed sample entropy (fSampEn), a less sensitive method to the interference from cardiac activity. The detection of the ntoff is controversial,since it is located in an intermediate point between the maximum value and the cessation of sEMGdi inspiratory activity,evaluated by the fSampEn. In this work ntoff detection has been analyzed using thresholds between 40% and 100 % of the fSampEn peak. Furthermore, fSampEn was evaluated analyzing the r parameter from 0.05 to 0.6, using a m equal to 1 and a sliding window size equal to 250 ms. The ntoff has been compared to the offset time (toff) obtained from the airflow during a controlled respiratory protocol varying the fractional inspiratory time from 0.54 to 0.18 whilst the respiratory rate was constant at 16 bpm. Results show that the optimal threshold values were between 66.0 % to 77.0 % of the fSampEn peak value. r values between 0.25 to 0.50 were found suitable to be used with the fSampEn.

分类号： r318-532

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