TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

On computation of calcium cycling anomalies in cardiomyocytes data

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
Otsikko2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
KustantajaInstitute of Electrical and Electronics Engineers Inc.
Sivut1444-1447
Sivumäärä4
ISBN (elektroninen)9781424479290
DOI - pysyväislinkit
TilaJulkaistu - 2 marraskuuta 2014
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
Tapahtuma2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 - Chicago, Yhdysvallat
Kesto: 26 elokuuta 201430 elokuuta 2014

Conference

Conference2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
MaaYhdysvallat
KaupunkiChicago
Ajanjakso26/08/1430/08/14

Tiivistelmä

Induced pluripotent stem cell (iPSC) lines derived from skin fibroblasts of patients suffering from cardiac disorders were differentiated to cardiomyocytes and used to generate a data set of Ca2+ transients of 136 recordings. The objective was to separate normal signals for later medical research from abnormal signals. We constructed a signal analysis procedure to detect peaks representing calcium cycling in signals and another procedure to classify them into either normal or abnormal peaks. Using machine learning methods we classified signals into normal or abnormal signals on the basis of peak findings in them. We compared classification results obtained to those made visually by an expert biotechnologist who assessed the signals independent of the computer method. Classification accuracies of around 85% indicated high congruence between two modes denoting the high capability and usefulness of computer based processing for the present data.