Efficient implementation of Stockwell Transform for real-time embedded processing of physiologic signals

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU126193" target="_blank" >RIV/00216305:26220/17:PU126193 - isvavai.cz</a>
Alternative codes found
RIV/00159816:_____/17:00068431
Result on the web
<a href="http://ieeexplore.ieee.org/document/8037389/" target="_blank" >http://ieeexplore.ieee.org/document/8037389/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EMBC.2017.8037389" target="_blank" >10.1109/EMBC.2017.8037389</a>

Result language
angličtina
Original language name
Efficient implementation of Stockwell Transform for real-time embedded processing of physiologic signals
Original language description
Physiologic monitoring enables scientists and physicians to study both normal and pathologic signals of the body. While wearable technologies are available today, many of these technologies are limited to data collection only. Embedded processors have minimal computational capabilities. We propose an efficient implementation of the Stockwell Transform which can enable real-time time-frequency analysis of biological signals in a microcontroller. The method is built upon the fact that the Stockwell Transform can be implemented as a compact filter bank with pre-computed filter taps. Additionally, due to the long tails of the gaussian windowing function, low amplitude filter taps can be removed. The method was implemented on a TI MSP430 processor. Simulated ECG data was fed into the processor to demonstrate performance and evaluate computational efficiency.
Czech name
—
Czech description
—

Project
<a href="/en/project/GAP102%2F12%2F2034" target="_blank" >GAP102/12/2034: Analysis of Relationship between Electrical Activity and Blood Flow at the Heart Ventricles</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
ISBN
978-1-5090-2809-2
ISSN
1557-170X
e-ISSN
—
Number of pages
4
Pages from-to
„2598“-„2601 “
Publisher name
IEEE
Place of publication
Jeju Island, Korea
Event location
Jeju Island
Event date
Jul 11, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000427085303011

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