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EMG-Derived Respiration Signal using the Fixed Sample Entropy during an Inspiratory Load Protocol

Author
Estrada, L.; Torres, A.; Sarlabous, L.; Jane, R.
Type of activity
Presentation of work at congresses
Name of edition
37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Date of publication
2015
Presentation's date
2015-08
Book of congress proceedings
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015)
First page
1703
Last page
1706
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/EMBC.2015.7318705 Open in new window
Repository
http://hdl.handle.net/2117/83487 Open in new window
URL
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7318705 Open in new window
Abstract
Extracting clinical information from one single measurement represents a step forward in the assessment of the respiratory muscle function. This attracting idea entails the reduction of the instrumentation and fosters to develop new medical integrated technologies. We present the use of the fixed sample entropy (fSampEn) as a more direct method to non-invasively derive the breathing activity from the diaphragm electromyographic (EMGdi) signal, and thus to extract the respiratory rate, an importa...
Citation
Estrada, L., Torres, A., Sarlabous, L., Jane, R. EMG-Derived Respiration Signal using the Fixed Sample Entropy during an Inspiratory Load Protocol. A: IEEE Engineering in Medicine and Biology Society. "2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015)". Milan: Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 1703-1706.
Keywords
Band-pass filters, Breathing activity, Diaphragm electromyographic signal, EMG-derived respiration signal, Electrocardiography, Electromyography, Entropy, Fixed sample entropy, Inspiratory load protocol, Inspiratory mouth pressure, Lead-I configuration, Mouth, Muscles, Protocols, Respiration waveform, Respiratory muscle electrical activity, Respiratory rate extraction
Group of research
BIOSPIN - Biomedical Signal Processing and Interpretation

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