Correlation-based spike sorting of multivariate data
Automated classification of waveforms is an important method of data processing used in various fields of science, such as neuroscience, biomedical engineering, etc. This work shows the possibility of sorting special waveforms i.e. spikes recorded with multichannel electrode arrays by using principl...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2019-09-01
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| Series: | Current Directions in Biomedical Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/cdbme-2019-0029 |
| _version_ | 1811246869463957504 |
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| author | Larionov Pavel Juergens Tom Schanze Thomas |
| author_facet | Larionov Pavel Juergens Tom Schanze Thomas |
| author_sort | Larionov Pavel |
| collection | DOAJ |
| description | Automated classification of waveforms is an important method of data processing used in various fields of science, such as neuroscience, biomedical engineering, etc. This work shows the possibility of sorting special waveforms i.e. spikes recorded with multichannel electrode arrays by using principles of correlation and data-driven reference. A new method to estimate the number of k-means clusters by using a Monte Carlo method is introduced. To demonstrate the performance of the algorithm, generated signals were used, which are created to mimic multichannel recording of the extra-cellular neuronal signals. |
| first_indexed | 2024-04-12T14:59:38Z |
| format | Article |
| id | doaj.art-105a492c20474729b11350923be5fb92 |
| institution | Directory Open Access Journal |
| issn | 2364-5504 |
| language | English |
| last_indexed | 2024-04-12T14:59:38Z |
| publishDate | 2019-09-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Current Directions in Biomedical Engineering |
| spelling | doaj.art-105a492c20474729b11350923be5fb922022-12-22T03:28:06ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042019-09-015111311610.1515/cdbme-2019-0029cdbme-2019-0029Correlation-based spike sorting of multivariate dataLarionov Pavel0Juergens Tom1Schanze Thomas2IBMT, FB Life Science Engineering (LSE), Technische Hochschule Mittelhessen (THM), Wiesenstr. 14,Giessen, GermanyIBMT, FB Life Science Engineering (LSE), Technische Hochschule Mittelhessen (THM),Giessen, GermanyIBMT, FB Life Science Engineering (LSE), Technische Hochschule Mittelhessen (THM),Giessen, GermanyAutomated classification of waveforms is an important method of data processing used in various fields of science, such as neuroscience, biomedical engineering, etc. This work shows the possibility of sorting special waveforms i.e. spikes recorded with multichannel electrode arrays by using principles of correlation and data-driven reference. A new method to estimate the number of k-means clusters by using a Monte Carlo method is introduced. To demonstrate the performance of the algorithm, generated signals were used, which are created to mimic multichannel recording of the extra-cellular neuronal signals.https://doi.org/10.1515/cdbme-2019-0029spike sortingclusteringbiosignalsmultivariate signal processingk-meansscree plot |
| spellingShingle | Larionov Pavel Juergens Tom Schanze Thomas Correlation-based spike sorting of multivariate data Current Directions in Biomedical Engineering spike sorting clustering biosignals multivariate signal processing k-means scree plot |
| title | Correlation-based spike sorting of multivariate data |
| title_full | Correlation-based spike sorting of multivariate data |
| title_fullStr | Correlation-based spike sorting of multivariate data |
| title_full_unstemmed | Correlation-based spike sorting of multivariate data |
| title_short | Correlation-based spike sorting of multivariate data |
| title_sort | correlation based spike sorting of multivariate data |
| topic | spike sorting clustering biosignals multivariate signal processing k-means scree plot |
| url | https://doi.org/10.1515/cdbme-2019-0029 |
| work_keys_str_mv | AT larionovpavel correlationbasedspikesortingofmultivariatedata AT juergenstom correlationbasedspikesortingofmultivariatedata AT schanzethomas correlationbasedspikesortingofmultivariatedata |