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Leonardo Sarlabous

Showing results (1-10 of 46) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
EMG-Derived Respiration Signal Using the Fixed Sample Entropy during an Inspiratory Load ProtocolLuis Estrada, Abel Torres, Leonardo Sarlabous, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Respiratory signal derived from the smartphone built-in accelerometer during a Respiratory Load ProtocolLuis Estrada, Abel Torres, Leonardo Sarlabous, et al.
IEEE Journal of Biomedical and Health Informatics|February 27, 2017
Onset and Offset Estimation of the Neural Inspiratory Time in Surface Diaphragm Electromyography: A Pilot Study in Healthy SubjectsLuis Estrada, Abel Torres, Leonardo Sarlabous, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Evaluating respiratory muscle activity using a wireless sensor platformLuis Estrada, Abel Torres, Leonardo Sarlabous, et al.
IEEE Journal of Biomedical and Health Informatics|February 11, 2015
Improvement in Neural Respiratory Drive Estimation From Diaphragm Electromyographic Signals Using Fixed Sample EntropyLuis Estrada, Abel Torres, Leonardo Sarlabous, et al.
Plos One|March 4, 2014
Evidence towards improved estimation of respiratory muscle effort from diaphragm mechanomyographic signals with cardiac vibration interference using sample entropy with fixed tolerance valuesLeonardo Sarlabous, Abel Torres, José A Fiz, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Respiratory rate detection by empirical mode decomposition method applied to diaphragm mechanomyographic signalsLuis Estrada, Abel Torres, Leonardo Sarlabous, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Neural Offset Time Evaluation in Surface Respiratory Signals during Controlled RespirationLuis Estrada, Leonardo Sarlabous, Manuel Lozano-Garcia, et al.
Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology|February 23, 2013
Index for estimation of muscle force from mechanomyography based on the Lempel-Ziv algorithmLeonardo Sarlabous, Abel Torres, José A Fiz, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Evaluation and adaptive attenuation of the cardiac vibration interference in mechanomyographic signalsLeonardo Sarlabous, Abel Torres, Jose Antonio Fiz, et al.
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Showing results (1-10 of 46) with videos related to

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Pageof 5
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
EMG-Derived Respiration Signal Using the Fixed Sample Entropy during an Inspiratory Load ProtocolLuis Estrada, Abel Torres, Leonardo Sarlabous, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Respiratory signal derived from the smartphone built-in accelerometer during a Respiratory Load ProtocolLuis Estrada, Abel Torres, Leonardo Sarlabous, et al.
IEEE Journal of Biomedical and Health Informatics|February 27, 2017
Onset and Offset Estimation of the Neural Inspiratory Time in Surface Diaphragm Electromyography: A Pilot Study in Healthy SubjectsLuis Estrada, Abel Torres, Leonardo Sarlabous, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Evaluating respiratory muscle activity using a wireless sensor platformLuis Estrada, Abel Torres, Leonardo Sarlabous, et al.
IEEE Journal of Biomedical and Health Informatics|February 11, 2015
Improvement in Neural Respiratory Drive Estimation From Diaphragm Electromyographic Signals Using Fixed Sample EntropyLuis Estrada, Abel Torres, Leonardo Sarlabous, et al.
Plos One|March 4, 2014
Evidence towards improved estimation of respiratory muscle effort from diaphragm mechanomyographic signals with cardiac vibration interference using sample entropy with fixed tolerance valuesLeonardo Sarlabous, Abel Torres, José A Fiz, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Respiratory rate detection by empirical mode decomposition method applied to diaphragm mechanomyographic signalsLuis Estrada, Abel Torres, Leonardo Sarlabous, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Neural Offset Time Evaluation in Surface Respiratory Signals during Controlled RespirationLuis Estrada, Leonardo Sarlabous, Manuel Lozano-Garcia, et al.
Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology|February 23, 2013
Index for estimation of muscle force from mechanomyography based on the Lempel-Ziv algorithmLeonardo Sarlabous, Abel Torres, José A Fiz, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Evaluation and adaptive attenuation of the cardiac vibration interference in mechanomyographic signalsLeonardo Sarlabous, Abel Torres, Jose Antonio Fiz, et al.
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