Adaptive stimulus artifact cancellation in gastric myoelectrical signals

Lin, Zhiyue; McCallum, Richard W.

doi:10.1109/iembs.1998.747220

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…Stimulation artifact removal techniques within recorded data has been a thriving field, where linear and non-linear filtering (Sennels et al, 1997 ; Parsa et al, 1998 ; Gnadt et al, 2003 ; Whittington et al, 2003 , 2005 ) or artifact template subtraction utilizing a number of methods (Zhiyue and McCallum, 1998 ; Hashimoto et al, 2002 ; ter Braack et al, 2013 ) have been employed with mixed results.…”

Section: Introductionmentioning

confidence: 99%

When the Ostrich-Algorithm Fails: Blanking Method Affects Spike Train Statistics

et al. 2018

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Modern electroceuticals are bound to employ the usage of electrical high frequency (130–180 Hz) stimulation carried out under closed loop control, most prominent in the case of movement disorders. However, particular challenges are faced when electrical recordings of neuronal tissue are carried out during high frequency electrical stimulation, both in-vivo and in-vitro. This stimulation produces undesired artifacts and can render the recorded signal only partially useful. The extent of these artifacts is often reduced by temporarily grounding the recording input during stimulation pulses. In the following study, we quantify the effects of this method, “blanking,” on the spike count and spike train statistics. Starting from a theoretical standpoint, we calculate a loss in the absolute number of action potentials, depending on: width of the blanking window, frequency of stimulation, and intrinsic neuronal activity. These calculations were then corroborated by actual high signal to noise ratio (SNR) single cell recordings. We state that, for clinically relevant frequencies of 130 Hz (used for movement disorders) and realistic blanking windows of 2 ms, up to 27% of actual existing spikes are lost. We strongly advice cautioned use of the blanking method when spike rate quantification is attempted.Impact statementBlanking (artifact removal by temporarily grounding input), depending on recording parameters, can lead to significant spike loss. Very careful use of blanking circuits is advised.

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Section: Introductionmentioning

confidence: 99%

When the Ostrich-Algorithm Fails: Blanking Method Affects Spike Train Statistics

et al. 2018

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Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Zhang¹

2003

Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.0

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Stimulus artifact cancellation in the serosal recordings of gastric myoelectric activity using wavelet transform

Liang

Lin

2002

IEEE Trans. Biomed. Eng.

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Previous studies have shown that electrical stimulation of the stomach (i.e., gastric pacing) with appropriate parameters is a promising method for treatment of gastroparetic patients. The recording of gastric myoelectric activity (GMA) by serosal electrodes is often used to evaluate the effect of stimulation. However, the major problem with the measurement of GMA during gastric pacing is the stimulus artifacts which are often superimposed on the serosal recording and make analysis difficult. The frequency-domain adaptive filter has been used to reduce the stimulus artifacts but only with limited success. This paper describes a wavelet transform-based method for the reduction of stimulus artifacts in the serosal recordings of GMA. The key of this method lies in the use of the fuzzy set theory to select the stimulus artifact-related modulus maxima in the wavelet domain. Both quantitative and qualitative measures show that significant stimulus artifact cancellation was achieved through a series of computer simulations. Results from both single- and multichannel serosally recorded myoelectric signals during gastric pacing are presented to demonstrate the efficiency of the proposed method for the cancellation of stimulus artifacts.

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Adaptive stimulus artifact cancellation in gastric myoelectrical signals

Cited by 3 publications

References 4 publications

When the Ostrich-Algorithm Fails: Blanking Method Affects Spike Train Statistics

When the Ostrich-Algorithm Fails: Blanking Method Affects Spike Train Statistics

Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Stimulus artifact cancellation in the serosal recordings of gastric myoelectric activity using wavelet transform

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