Reminder: this is today. Please find the zoom meeting details below.
Mykhaylo Tyomkyn is inviting you to a scheduled Zoom meeting.

Topic: Noon seminar
Time: Mar 3, 2022 02:00 PM Budapest

Join Zoom Meeting
https://cesnet.zoom.us/j/98163194532?pwd=VDFMbG5hdmZxVTRuckZiL2FTMnYvQT09

Meeting ID: 981 6319 4532
Passcode: 697354
One tap mobile
+420228882388,,98163194532# Czech Republic
+420239018272,,98163194532# Czech Republic

Dial by your location
         +420 2 2888 2388 Czech Republic
         +420 2 3901 8272 Czech Republic
         +420 5 3889 0161 Czech Republic
Meeting ID: 981 6319 4532
Find your local number: https://cesnet.zoom.us/u/ad9zWV0KOA

On 2022-02-28 17:45, tyomkyn wrote:
Dear all,

This week's noon seminar will (exceptionally) be via zoom. I will send
out the meeting room information on Thursday morning. Please find the
talk details below.

Kind regards,
Misha.
Automated Feature Extraction from Large Cardiac Electrophysiological 
Data Sets
Peter Hinow
University of Wisconsin - Milwaukee
March 3, 2022, 12:20 in Zoom

Abstract
A new multi-electrode array-based application for the long-term
recording of action potentials from electrogenic cells makes possible
exciting cardiac electrophysiology studies in health and disease. With
hundreds of simultaneous electrode recordings being acquired over a
period of days, the main challenge becomes achieving reliable signal
identification and quantification. We set out to develop an algorithm
capable of automatically extracting regions of high-quality action
potentials from terabyte size experimental results and to map the
trains of action potentials into a low-dimensional feature space for
analysis. Our automatic segmentation algorithm finds regions of
acceptable action potentials in large data sets of
electrophysiological readings. We use spectral methods and support
vector machines to classify our readings and to extract relevant
features. We are able to show that action potentials from the same
cell site can be recorded over days without detrimental effects to the
cell membrane. The variability between measurements 24 h apart is
comparable to the natural variability of the features at a single time
point. Our work contributes towards a non-invasive approach for
cardiomyocyte functional maturation, as well as developmental,
pathological, and pharmacological studies. As the human-derived
cardiac model tissue has the genetic makeup of its donor, a powerful
tool for individual drug toxicity screening emerges.

This is joint work with Stacie Kroboth, Viviana Zlochiver (Advocate
Aurora Health) and John Jurkiewicz (UWM).
TCS-l mailing list -- tcs-l@kam.mff.cuni.cz
To unsubscribe send an email to tcs-l-leave@kam.mff.cuni.cz