Featured image of post project 「 Spike Sorting 」 Multivariate Data

project 「 Spike Sorting 」 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 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.

Larionov, P., Juergens, T. & Schanze, T. (2019). Correlation-based spike sorting of multivariate data. Current Directions in Biomedical Engineering, 5(1), pp. 113-116. Retrieved 2 Oct. 2019, doi:10.1515/cdbme-2019-0029

my role

Main author and developer, project leader.

where / with whom

Co-created in collaboration with Tom Jürgens.
Institute of the Biomedical Technology, IBMT, University of Applied Sciences.
Scientific group of Prof. Dr. Thomas Schanze.



so what?

Publication was presented by me during the scientific conference “Current Direction in Biomedical Engineering”.

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