179 related articles for article (PubMed ID: 24586436)
1. Evidence towards improved estimation of respiratory muscle effort from diaphragm mechanomyographic signals with cardiac vibration interference using sample entropy with fixed tolerance values.
Sarlabous L; Torres A; Fiz JA; Jané R
PLoS One; 2014; 9(2):e88902. PubMed ID: 24586436
[TBL] [Abstract][Full Text] [Related]
2. Evaluation and adaptive attenuation of the cardiac vibration interference in mechanomyographic signals.
Sarlabous L; Torres A; Fiz JA; Morera J; Jane R
Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():3400-3. PubMed ID: 23366656
[TBL] [Abstract][Full Text] [Related]
3. Improvement in Neural Respiratory Drive Estimation From Diaphragm Electromyographic Signals Using Fixed Sample Entropy.
Estrada L; Torres A; Sarlabous L; Jané R
IEEE J Biomed Health Inform; 2016 Mar; 20(2):476-85. PubMed ID: 25667362
[TBL] [Abstract][Full Text] [Related]
4. Rényi entropy and Lempel-Ziv complexity of mechanomyographic recordings of diaphragm muscle as indexes of respiratory effort.
Torres A; Fiz JA; Jane R; Laciar E; Galdiz JB; Gea J; Morera J
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():2112-5. PubMed ID: 19163113
[TBL] [Abstract][Full Text] [Related]
5. Assessment of the Non-linear Response of the fSampEn on Simulated EMG Signals.
Estrada-Petrocelli L; Lozano-Garcia M; Jane R; Torres A
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():5582-5585. PubMed ID: 34892389
[TBL] [Abstract][Full Text] [Related]
6. Respiratory rate detection by empirical mode decomposition method applied to diaphragm mechanomyographic signals.
Estrada L; Torres A; Sarlabous L; Fiz JA; Jané R
Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():3204-7. PubMed ID: 25570672
[TBL] [Abstract][Full Text] [Related]
7. Noninvasive measurement of inspiratory muscle performance by means of diaphragm muscle mechanomyographic signals in COPD patients during an incremental load respiratory test.
Torres A; Sarlabous L; Fiz JA; Gea J; Martinez-Llorens JM; Morera J; Jane R
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():2493-6. PubMed ID: 21096168
[TBL] [Abstract][Full Text] [Related]
8. Performance Evaluation of Fixed Sample Entropy in Myographic Signals for Inspiratory Muscle Activity Estimation.
Lozano-García M; Estrada L; Jané R
Entropy (Basel); 2019 Feb; 21(2):. PubMed ID: 33266898
[TBL] [Abstract][Full Text] [Related]
9. Surface mechanomyography and electromyography provide non-invasive indices of inspiratory muscle force and activation in healthy subjects.
Lozano-García M; Sarlabous L; Moxham J; Rafferty GF; Torres A; Jané R; Jolley CJ
Sci Rep; 2018 Nov; 8(1):16921. PubMed ID: 30446712
[TBL] [Abstract][Full Text] [Related]
10. Neural Offset Time Evaluation in Surface Respiratory Signals during Controlled Respiration.
Estrada L; Sarlabous L; Lozano-Garcia M; Jane R; Torres A
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():2344-2347. PubMed ID: 31946370
[TBL] [Abstract][Full Text] [Related]
11. Performance Evaluation of Fixed Sample Entropy for Lung Sound Intensity Estimation.
Lozano-Garcia M; Nuhic J; Moxham J; Rafferty GF; Jolley CJ; Jane R
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():2740-2743. PubMed ID: 33018573
[TBL] [Abstract][Full Text] [Related]
12. Interpretation of the approximate entropy using fixed tolerance values as a measure of amplitude variations in biomedical signals.
Sarlabous L; Torres A; Fiz JA; Gea J; Martinez-Llorens JM; Morera J; Jane R
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():5967-70. PubMed ID: 21096950
[TBL] [Abstract][Full Text] [Related]
13. Inspiratory pressure evaluation by means of the entropy of respiratory mechanomyographic signals.
Torres A; Fiz JA; Galdiz JB; Gea J; Morera J; Jané R
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():5735-8. PubMed ID: 17947166
[TBL] [Abstract][Full Text] [Related]
14. EMG-Derived Respiration Signal Using the Fixed Sample Entropy during an Inspiratory Load Protocol.
Estrada L; Torres A; Sarlabous L; Jané R
Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug; 2015():1703-6. PubMed ID: 26736605
[TBL] [Abstract][Full Text] [Related]
15. Application of the empirical mode decomposition method to the analysis of respiratory mechanomyographic signals.
Torres A; Fiz JA; Jané R; Galdiz JB; Gea J; Morera J
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():1566-9. PubMed ID: 18002269
[TBL] [Abstract][Full Text] [Related]
16. Neural Respiratory Drive Estimation in Respiratory sEMG with Cardiac Arrhythmias.
Estrada-Petrocelli L; Jane R; Torres A
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():2748-2751. PubMed ID: 33018575
[TBL] [Abstract][Full Text] [Related]
17. Evaluation of the respiratory muscular function by means of diaphragmatic mechanomyographic signals in COPD patients.
Sarlabous L; Torres A; Fiz JA; Gea J; Martinez-Llorens JM; Jane R
Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():3925-8. PubMed ID: 19964322
[TBL] [Abstract][Full Text] [Related]
18. Evaluation of Correlation Between Surface Diaphragm Electromyography and Airflow Using Fixed Sample Entropy in Healthy Subjects.
Gu X; Ren S; Shi Y; Li X; Guo Z; Zhao X; Mao Z; Cai M; Xie F
IEEE Trans Neural Syst Rehabil Eng; 2022; 30():238-250. PubMed ID: 35041610
[TBL] [Abstract][Full Text] [Related]
19. Index for estimation of muscle force from mechanomyography based on the Lempel-Ziv algorithm.
Sarlabous L; Torres A; Fiz JA; Morera J; Jané R
J Electromyogr Kinesiol; 2013 Jun; 23(3):548-57. PubMed ID: 23428331
[TBL] [Abstract][Full Text] [Related]
20. Onset and Offset Estimation of the Neural Inspiratory Time in Surface Diaphragm Electromyography: A Pilot Study in Healthy Subjects.
Estrada L; Torres A; Sarlabous L; Jane R
IEEE J Biomed Health Inform; 2018 Jan; 22(1):67-76. PubMed ID: 28237936
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]