Efficient implementation of Stockwell Transform for real-time embedded processing of physiologic signals
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F17%3A00484539" target="_blank" >RIV/68081731:_____/17:00484539 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/EMBC.2017.8037389" target="_blank" >http://dx.doi.org/10.1109/EMBC.2017.8037389</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EMBC.2017.8037389" target="_blank" >10.1109/EMBC.2017.8037389</a>
Alternative languages
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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20601 - Medical engineering
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Engineering in Medicine and Biology Society (EMBC 2017). 39th Annual International Conference of the IEEE
ISBN
978-1-5090-2810-8
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
2598-2601
Publisher name
IEEE
Place of publication
Piscataway
Event location
Jeju Island
Event date
Jul 11, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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