{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,3]],"date-time":"2024-06-03T23:15:13Z","timestamp":1717456513671},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2014,12,3]],"date-time":"2014-12-03T00:00:00Z","timestamp":1417564800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Med Syst"],"published-print":{"date-parts":[[2015,1]]},"DOI":"10.1007\/s10916-014-0167-1","type":"journal-article","created":{"date-parts":[[2014,12,19]],"date-time":"2014-12-19T06:25:38Z","timestamp":1418970338000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Super Wavelet for sEMG Signal Extraction During Dynamic Fatiguing Contractions"],"prefix":"10.1007","volume":"39","author":[{"given":"Mohamed R.","family":"Al-Mulla","sequence":"first","affiliation":[]},{"given":"Francisco","family":"Sepulveda","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2014,12,3]]},"reference":[{"key":"167_CR1","doi-asserted-by":"crossref","first-page":"760","DOI":"10.1109\/TBME.1982.324871","volume":"29","author":"FB Stulen","year":"1982","unstructured":"Stulen, F.B., and De Luca, C.J., Muscle fatigue monitor: a noninvasive device for observing localized muscular fatigue. IEEE Trans. Biomed. Eng. 29:760\u2013768, 1982.","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"167_CR2","doi-asserted-by":"crossref","DOI":"10.1002\/0471678384","volume-title":"Electromyography: physiology, engineering and non-invasive applications","author":"R Merletti","year":"2004","unstructured":"Merletti, R., and Parker, P.A., Electromyography: physiology, engineering and non-invasive applications. New York: John Wiley, 2004."},{"key":"167_CR3","volume-title":"The ABC of EMG: a practical introduction to kinesiological electromyography","author":"P Konrad","year":"2005","unstructured":"Konrad, P., The ABC of EMG: a practical introduction to kinesiological electromyography. USA: Noraxon, Inc., 2005."},{"key":"167_CR4","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1007\/BF00635990","volume":"57","author":"K Jorgensen","year":"1988","unstructured":"Jorgensen, K., Fallentin, N., Krogh-Lund, C., Jensen, B., Electromyography and fatigue during prolonged, low-level static contractions. Eur. J. Appl. Physiol. Occup. Physiol. 57:316\u2013321, 1988.","journal-title":"Eur. J. Appl. Physiol. Occup. Physiol."},{"key":"167_CR5","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1016\/S1050-6411(00)00024-9","volume":"10","author":"A Rainoldi","year":"2000","unstructured":"Rainoldi, A., Nazzaro, M., Merletti, R., Farina, D., Caruso, I., Gaudenti, S., Geometrical factors in surface EMG of the vastus medialis and lateralis muscles. J. Electromyogr. Kinesiol. 10:327\u2013336, 2000.","journal-title":"J. Electromyogr. Kinesiol."},{"key":"167_CR6","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1080\/00140138108924875","volume":"24","author":"M Hagberg","year":"1981","unstructured":"Hagberg, M., Work load and fatigue in repetitive arm elevations. Ergonomics 24:543\u2013555, 1981.","journal-title":"Ergonomics"},{"key":"167_CR7","doi-asserted-by":"crossref","unstructured":"Asghari Osk\u0153i, M., Hu, H., Gan, J.Q.: Manifestation of fatigue in myoelectric signals of dynamic contractions produced during playing PC games, in: Proceedings of the 30th annual international IEEE EMBS conference, IEEE Engineering in Medicine and Biology Society, 2008, pp. 315\u2013318","DOI":"10.1109\/IEMBS.2008.4649153"},{"key":"167_CR8","doi-asserted-by":"crossref","first-page":"1791","DOI":"10.1097\/00007632-199909010-00008","volume":"24","author":"PJ Sparto","year":"1999","unstructured":"Sparto, P.J., Parnianpour, M., Barria, E.A., Jagadeesh, J.M., Wavelet analysis of electromyography for back muscle fatigue detection during isokinetic constant-torque exertions. Spine 24:1791\u20131798, 1999.","journal-title":"Spine"},{"key":"167_CR9","doi-asserted-by":"crossref","first-page":"745","DOI":"10.1109\/10.930899","volume":"48","author":"P Bonato","year":"2001","unstructured":"Bonato, P., Roy, S.H., Knaflitz, M., De Luca, C.J., Time-frequency parameters of the surface myoelectric signal for assessing muscle fatigue during cyclic dynamic contractions. IEEE Trans. Biomed. Eng. 48:745\u2013753, 2001.","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"167_CR10","doi-asserted-by":"crossref","first-page":"670","DOI":"10.1109\/10.764944","volume":"46","author":"S Karlsson","year":"1999","unstructured":"Karlsson, S., Yu, J., Akay, M., Enhancement of spectral analysis of myoelectric signals during static contractions using wavelet methods. IEEE Trans. Biomed. Eng. 46:670\u2013684, 1999.","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"167_CR11","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1080\/03091900500444281","volume":"31","author":"VP Singh","year":"2007","unstructured":"Singh, V.P., Kumar, D.K., Polus, B., Fraser, S., Strategies to identify changes in SEMG due to muscle fatigue during cycling. J. Med. Eng. Technol. 31:144\u2013151, 2007.","journal-title":"J. Med. Eng. Technol."},{"key":"167_CR12","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1249\/00003677-200607000-00006","volume":"34","author":"D Farina","year":"2006","unstructured":"Farina, D., Interpretation of the surface electromyogram in dynamic contractions. Exerc. Sport Sci. Rev. 34: 121\u2013127, 2006.","journal-title":"Exerc. Sport Sci. Rev."},{"key":"167_CR13","doi-asserted-by":"crossref","first-page":"1971","DOI":"10.1249\/01.mss.0000233794.31659.6d","volume":"38","author":"GV Dimitrov","year":"2006","unstructured":"Dimitrov, G.V., Arabadzhiev, T.I., Mileva, K.N., Bowtell, J.L., Crichton, N., Dimitrova, N.A., Muscle fatigue during dynamic contractions assessed by new spectral indices. Med. Sci. Sports Exerc. 38:1971\u20131979, 2006.","journal-title":"Med. Sci. Sports Exerc."},{"key":"167_CR14","unstructured":"Guglielminotti, P., and Merletti, R.: Effect of electrode location on surface myoelectric signal variables: a simulation study, in: 9th international congress of The International Society of Electrophysiological Kinesiology, Florence, Italy (1992)"},{"key":"167_CR15","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1109\/TNSRE.2003.819901","volume":"11","author":"DK Kumar","year":"2003","unstructured":"Kumar, D.K., Pah, N.D., Bradley, A., Wavelet analysis of surface electromyography to determine muscle fatigue. IEEE Trans. Neural Syst. Rehabil. Eng. 11:400\u2013406, 2003.","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"167_CR16","unstructured":"Khezri, M., and Jahed, M.: Real-time intelligent pattern recognition algorithm for surface EMG signals, Biomedical Engineering Online"},{"issue":"3","key":"167_CR17","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1007\/s10916-005-5184-7","volume":"29","author":"N Gler","year":"2005","unstructured":"Gler, N., and Koer, S., Classification of emg signals using pca and fft. J. Med. Syst. 29(3):241\u2013250, 2005. doi: 10.1007\/s10916-005-5184-7 .","journal-title":"J. Med. Syst."},{"issue":"5","key":"167_CR18","doi-asserted-by":"crossref","first-page":"1323","DOI":"10.1007\/s10916-011-9696-z","volume":"35","author":"M Chen","year":"2011","unstructured":"Chen, M., Guan, J., Liu, H., Enabling fast brain-computer interaction by single-trial extraction of visual evoked potentials. Journal of Medical Systems 35(5):1323\u20131331, 2011. doi: 10.1007\/s10916-011-9696-z .","journal-title":"Journal of Medical Systems"},{"key":"167_CR19","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1251\/bpo115","volume":"8","author":"MB Raez","year":"2006","unstructured":"Raez, M.B., Hussain, M.S., Mohd-Yasin, F., Techniques of EMG signal analysis: detection, processing, classification and applications. Biological Proceedings Online 8:11\u201335, 2006.","journal-title":"Biological Proceedings Online"},{"key":"167_CR20","doi-asserted-by":"crossref","first-page":"1255","DOI":"10.1088\/0967-3334\/27\/12\/001","volume":"27","author":"G Wang","year":"2006","unstructured":"Wang, G., Yan, Z., Hu, X., Xie, H., Wang, Z., Classification of surface EMG signals using harmonic wavelet packet transform. Physiol. Meas. 27:1255\u20131267, 2006.","journal-title":"Physiol. Meas."},{"key":"167_CR21","unstructured":"Kattan, A., Al-Mulla, M., Sepulveda, F., Poli, R.: Detecting localised muscle fatigue during isometric contraction using genetic programming., in: IJCCI, 2009, pp. 292\u2013297"},{"key":"167_CR22","doi-asserted-by":"crossref","unstructured":"Al-Mulla, M.R., Sepulveda, F., Colley, M., Kattan, A.: Classification of localized muscle fatigue with genetic programming on sEMG during isometric contraction, Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC (2009)","DOI":"10.1109\/IEMBS.2009.5335368"},{"key":"167_CR23","doi-asserted-by":"crossref","unstructured":"Al-Mulla, M.R.: Evolutionary computation extracts a super semg feature to classify localized muscle fatigue during dynamic contractions, in: Computer Science and Electronic Engineering Conference (CEEC), 2012 4th, 2012, pp. 220\u2013224. doi: 10.1109\/CEEC.2012.6375409","DOI":"10.1109\/CEEC.2012.6375409"},{"issue":"4","key":"167_CR24","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1016\/j.medengphy.2010.11.008","volume":"33","author":"MR Al-Mulla","year":"2011","unstructured":"Al-Mulla, M.R., Sepulveda, F., Colley, M., Evolved pseudo-wavelet function to optimally decompose sEMG for automated classification of localized muscle fatigue. Med. Eng. Phys. 33(4):411\u2013417, 2011.","journal-title":"Med. Eng. Phys."},{"issue":"6","key":"167_CR25","doi-asserted-by":"crossref","first-page":"9489","DOI":"10.3390\/s140609489","volume":"14","author":"MR Al-Mulla","year":"2014","unstructured":"Al-Mulla, M.R., and Sepulveda, F., Novel pseudo-wavelet function for mmg signal extraction during dynamic fatiguing contractions. Sensors 14(6):9489\u20139504, 2014.","journal-title":"Sensors"},{"key":"167_CR26","doi-asserted-by":"crossref","unstructured":"Al-Mulla, M.R., Sepulveda, F., Colley, M., Al-Mulla, F.: Statistical class separation using sEMG features towards automated muscle fatigue detection and prediction, in: International Congress on Image and Signal Processing, 2009, pp. 1\u20135. doi: 10.1109\/CISP.2009.5304091","DOI":"10.1109\/CISP.2009.5304091"},{"key":"167_CR27","unstructured":"Al-Mulla, M.R., and Sepulveda, F.: A Novel Feature Assisting in the Prediction of sEMG Muscle Fatigue Towards a Wearable Autonomous System, Proceedings of the 16th IEEE International Mixed-Signals, Sensors and Systems Test Workshop (IMS3TW\u201910), France"},{"issue":"5","key":"167_CR28","doi-asserted-by":"crossref","first-page":"4838","DOI":"10.3390\/s100504838","volume":"10","author":"MR Al-Mulla","year":"2010","unstructured":"Al-Mulla, M.R., and Sepulveda, F., Novel feature modelling the prediction and detection of semg muscle fatigue towards an automated wearable system. Sensors 10(5):4838\u20134854, 2010. doi: 10.3390\/s100504838 .","journal-title":"Sensors"},{"key":"167_CR29","doi-asserted-by":"crossref","unstructured":"Al-Mulla, M.R., and Sepulveda, F.: Predicting the time to localized muscle fatigue using ANN and evolved sEMG feature, IEEE International Conference on Autonomous and Intelligent Systems, (AIS 2010), Povoa de Varzim, Portugal (2010) 1\u20136","DOI":"10.1109\/AIS.2010.5547025"},{"issue":"4","key":"167_CR30","doi-asserted-by":"crossref","first-page":"777","DOI":"10.1007\/s10916-009-9292-7","volume":"34","author":"A Subasi","year":"2010","unstructured":"Subasi, A., and Kiymik, M., Muscle fatigue detection in emg using timefrequency methods, ica and neural networks. J. Med. Syst. 34(4):777\u2013785, 2010. doi: 10.1007\/s10916-009-9292-7 .","journal-title":"J. Med. Syst."},{"issue":"2","key":"167_CR31","doi-asserted-by":"crossref","first-page":"1542","DOI":"10.3390\/s110201542","volume":"11","author":"MR Al-Mulla","year":"2011","unstructured":"Al-Mulla, M.R., Sepulveda, F., Colley, M., An autonomous wearable system for predicting and detecting localised muscle fatigue. Sensors (Basel) 11(2):1542\u20131557, 2011.","journal-title":"Sensors (Basel)"},{"key":"167_CR32","volume-title":"A primer on wavelets and their scientific applications","author":"JS Walker","year":"2000","unstructured":"Walker, J.S., A primer on wavelets and their scientific applications. Boca Raton Fla: Chapman and Hall\/CRC, 2000."},{"key":"167_CR33","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-662-03315-9","volume-title":"Genetic algorithms + data structures = evolution programs","author":"Z Michalewicz","year":"1996","unstructured":"Michalewicz, Z., Genetic algorithms + data structures = evolution programs. New York: Springer-Verlag, 1996."},{"key":"167_CR34","unstructured":"Sepulveda, F., Meckes, M., Conway, B., Cluster separation index suggests usefulness of non-motor eeg channels in detecting wrist movement direction intention, in: EEE Conference on Cybernetics and Intelligent Systems, pp. 943\u2013947: IEEE Press , 2004."},{"key":"167_CR35","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/S1050-6411(98)00021-2","volume":"9","author":"K Masuda","year":"1999","unstructured":"Masuda, K., Masuda, T., Sadoyama, T., Inaki, M., Katsuta, S., Changes in surface EMG parameters during static and dynamic fatiguing contractions. J. Electromyogr. Kinesiol. 9:39\u201346 , 1999.","journal-title":"J. Electromyogr. Kinesiol."},{"key":"167_CR36","doi-asserted-by":"crossref","first-page":"1486","DOI":"10.1152\/japplphysiol.01070.2003","volume":"96","author":"D Farina","year":"2004","unstructured":"Farina, D., Merletti, R., Enoka, R.M., The extraction of neural strategies from the surface EMG. J. Appl. Physiol. 96:1486\u20131495, 2004.","journal-title":"J. Appl. Physiol."}],"container-title":["Journal of Medical Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-014-0167-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10916-014-0167-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-014-0167-1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,18]],"date-time":"2019-08-18T12:14:31Z","timestamp":1566130471000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10916-014-0167-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,12,3]]},"references-count":36,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2015,1]]}},"alternative-id":["167"],"URL":"https:\/\/doi.org\/10.1007\/s10916-014-0167-1","relation":{},"ISSN":["0148-5598","1573-689X"],"issn-type":[{"value":"0148-5598","type":"print"},{"value":"1573-689X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,12,3]]},"article-number":"167"}}