Wavelet-approximated generalized matched filter for the detection of multisensor extracellular action potentials

Szymanska, Agnieszka A.; Nenadic, Zoran

doi:10.1109/ner.2013.6696058

Cited by 2 publications

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A notable exception is the sensor 3 for which d I = 8. This could be potentially explained by a higher noise level at the sensor 3, as established previously in [21] (see also Fig. 2).…”

Section: B Intrinsic Dimension Of Extracellular Action Potentialsmentioning

confidence: 52%

Intrinsic dimensionality of extracellular action potentials

Scannell

Szymanska

Nenadic

2014

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Self Cite

View full text Add to dashboard Cite

Abstract-Linear approaches to low-dimensional feature extraction may not be appropriate when statistical data are generated by a nonlinear interaction of parameters. Equally inadequate are linear methods for determining the dimension of the feature space. This article estimates the intrinsic dimension of extracellular action potentials (EAPs), which can be viewed as the minimum number of nonlinearly interacting parameters sufficient to describe the data. When combined with nonlinear feature extraction methods, this information may lead to a more faithful, low-dimensional EAP representation. These points are demonstrated using EAPs recorded experimentally by a multisensor electrode.

show abstract

“…A notable exception is the sensor 3 for which d I = 8. This could be potentially explained by a higher noise level at the sensor 3, as established previously in [21] (see also Fig. 2).…”

Section: B Intrinsic Dimension Of Extracellular Action Potentialsmentioning

confidence: 52%

Intrinsic dimensionality of extracellular action potentials

Scannell

Szymanska

Nenadic

2014

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Self Cite

View full text Add to dashboard Cite

show abstract

“…This forces all Σ i,j (j = i) to 0. Although neurophysiological noise exhibits spatial correlations [13], our experience shows that the spatially white noise assumption outperforms fully colored noise in detection.…”

Section: Parameter Estimationmentioning

confidence: 82%

A supervised multi-sensor matched filter for the detection of extracellular action potentials

Szymanska¹,

Doty²,

Scannell³

et al. 2014

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Self Cite

View full text Add to dashboard Cite

Abstract-Multi-sensor extracellular recording takes advantage of several electrode channels to record from multiple neurons at the same time. However, the resulting low signal-tonoise ratio (SNR) combined with biological noise makes signal detection, the first step of any neurophysiological data analysis, difficult. A matched filter was therefore designed to better detect extracellular action potentials (EAPs) from multi-sensor extracellular recordings. The detector was tested on tetrode data from a locust antennal lobe and assessed against three trained analysts. 25 EAPs and noise samples were selected manually from the data and used for training. To reduce complexity, the filter assumed that the underlying noise in the data was spatially white. The detector performed with an average TP and FP rate of 84.62% and 16.63% respectively. This high level of performance indicates the algorithm is suitable for widespread use.

show abstract

Wavelet-approximated generalized matched filter for the detection of multisensor extracellular action potentials

Cited by 2 publications

References 16 publications

Intrinsic dimensionality of extracellular action potentials

Intrinsic dimensionality of extracellular action potentials

A supervised multi-sensor matched filter for the detection of extracellular action potentials

Contact Info

Product

Resources

About