{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T11:30:24Z","timestamp":1768908624730,"version":"3.49.0"},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2015,11,7]],"date-time":"2015-11-07T00:00:00Z","timestamp":1446854400000},"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":[[2016,1]]},"DOI":"10.1007\/s10916-015-0394-0","type":"journal-article","created":{"date-parts":[[2015,11,7]],"date-time":"2015-11-07T11:18:48Z","timestamp":1446895128000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Analysis of Muscle Fatigue Progression using Cyclostationary Property of Surface Electromyography Signals"],"prefix":"10.1007","volume":"40","author":[{"given":"P. A.","family":"Karthick","sequence":"first","affiliation":[]},{"given":"G.","family":"Venugopal","sequence":"additional","affiliation":[]},{"given":"S.","family":"Ramakrishnan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,11,7]]},"reference":[{"key":"394_CR1","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1113\/jphysiol.2007.139477","volume":"586","author":"RM Enoka","year":"2008","unstructured":"Enoka, R. M., and Duchateau, J., Muscle fatigue: What, why and how it influences muscle function. J. Physiol. 586:11\u201323, 2008.","journal-title":"J. Physiol."},{"key":"394_CR2","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1016\/j.rehab.2011.01.001","volume":"54","author":"S Boyas","year":"2011","unstructured":"Boyas, S., and Guevel, A., Neuromuscular fatigue in healthy muscle: Underlying factors and adaptation mechanisms. Ann. Phys. Rehabil. Med. 54:88\u2013108, 2011.","journal-title":"Ann. Phys. Rehabil. Med."},{"key":"394_CR3","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1016\/j.medengphy.2010.11.008","volume":"33","author":"RAM Mohamed","year":"2011","unstructured":"Mohamed, R. A. M., Francisco, S., and Colley, M., Evolved pseudo-wavelet function to optimally decompose sEMG for automated classification of localized muscle fatigue. Med. Eng. Phys. 33:411\u2013417, 2011.","journal-title":"Med. Eng. Phys."},{"key":"394_CR4","doi-asserted-by":"crossref","first-page":"978","DOI":"10.1016\/S0140-6736(04)15794-2","volume":"363","author":"A Chaudhuri","year":"2004","unstructured":"Chaudhuri, A., and Behan, P. O., Fatigue in neurological disorder \u2013Review. Lancet 363:978\u2013988, 2004.","journal-title":"Lancet"},{"key":"394_CR5","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1007\/s00702-013-0969-1","volume":"120","author":"PC Falup","year":"2013","unstructured":"Falup, P. C., Fatigue assessment of Parkinson\u2019s disease patient in clinic: Specific versus holistic. J. Neural Transm. 120:577\u2013581, 2013.","journal-title":"J. Neural Transm."},{"key":"394_CR6","first-page":"55","volume":"28","author":"AG Carolyn","year":"2009","unstructured":"Carolyn, A. G., and David, A. J., Muscle physiology. Surgery 28:55\u201359, 2009.","journal-title":"Surgery"},{"key":"394_CR7","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.ergon.2010.11.005","volume":"41","author":"M Liang","year":"2011","unstructured":"Liang, M., Damien, C., Fouad, B., Wei, Z., Bo, H., and Fran\u00e7ois, G., A novel approach for determining fatigue resistances of different muscle groups in static cases. Int. J. Ind. Ergon. 41:10\u201318, 2011.","journal-title":"Int. J. Ind. Ergon."},{"key":"394_CR8","doi-asserted-by":"crossref","first-page":"3","DOI":"10.3233\/IFS-2009-0411","volume":"20","author":"JH Song","year":"2009","unstructured":"Song, J. H., Jung, J. W., and Zeungnam, B., Robust EMG pattern recognition to muscular fatigue effect for human- machine interaction. J. Intell. Fuzzy Syst. 20:3\u201312, 2009.","journal-title":"J. Intell. Fuzzy Syst."},{"key":"394_CR9","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1111\/j.1525-1594.2005.29076.x","volume":"9","author":"A Thrasher","year":"2005","unstructured":"Thrasher, A., Graham, G. M., and Popovic, M. R., Reducing muscle fatigue due to functional electrical stimulation using random modulation of stimulation parameters. Artif. Organs 9:453\u2013458, 2005.","journal-title":"Artif. Organs"},{"key":"394_CR10","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1016\/j.clinbiomech.2009.01.010","volume":"24","author":"M Vladimir","year":"2009","unstructured":"Vladimir, M., Stanko, T., and Sasa, O., Surface EMG based muscle fatigue evaluation in biomechanics. Clin. Biomech. 24:327\u2013340, 2009.","journal-title":"Clin. Biomech."},{"key":"394_CR11","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1251\/bpo115","volume":"8","author":"MBI Reaz","year":"2006","unstructured":"Reaz, M. B. I., Hussain, M. S., and Mohd Yasin, F., Techniques of EMG signal analysis: Detection, processing, classification and applications. Biol. Proced. Online 8:11\u201335, 2006.","journal-title":"Biol. Proced. Online"},{"key":"394_CR12","doi-asserted-by":"crossref","unstructured":"Merletti, R., and Parker, P. Electromyography: physiology, engineering, and non-invasive applications: Wiley, p. 11, 2004.","DOI":"10.1002\/0471678384"},{"key":"394_CR13","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1016\/j.medengphy.2011.07.017","volume":"34","author":"LS Geoffrey","year":"2012","unstructured":"Geoffrey, L. S., Application of time-varying analysis to diagnostic needle electromyography. Med. Eng. Phys. 34:249\u2013255, 2012.","journal-title":"Med. Eng. Phys."},{"key":"394_CR14","doi-asserted-by":"crossref","first-page":"1173","DOI":"10.1016\/j.clinph.2005.12.018","volume":"117","author":"A Fuglsang-Frederiksen","year":"2006","unstructured":"Fuglsang-Frederiksen, A., The role of different EMG methods in evaluating myopathy. Clin. Neurophysiol. 117:1173\u20131189, 2006.","journal-title":"Clin. Neurophysiol."},{"key":"394_CR15","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1016\/S1350-4533(99)00073-9","volume":"21","author":"G Filligoi","year":"1999","unstructured":"Filligoi, G., and Felici, F., Detection of hidden rhythms in surface EMG signals with a non-linear time-series tool. Med. Eng. Phys. 21:439\u2013448, 1999.","journal-title":"Med. Eng. Phys."},{"key":"394_CR16","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.neucli.2005.03.001","volume":"35","author":"J-Y Hogrel","year":"2005","unstructured":"Hogrel, J.-Y., Clinical applications of surface electromyography in neuromuscular disorders. Clin. Neurophysiol. 35:59\u201371, 2005.","journal-title":"Clin. Neurophysiol."},{"key":"394_CR17","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., and 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":"394_CR18","doi-asserted-by":"crossref","unstructured":"Karthick, P. A., and Ramakrishnan, S. Analysis of fatigue conditions in biceps brachii muscles using surface electromyography signals and strip spectral correlation IEEE 19th International Conference on In Digital Signal Processing 190\u2013194, 2014.","DOI":"10.1109\/ICDSP.2014.6900826"},{"key":"394_CR19","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1016\/S1050-6411(98)00010-8","volume":"8","author":"SH Roy","year":"1998","unstructured":"Roy, S. H., Bonato, P., and Knaflitz, M., EMG assessment of back muscle function during cyclical lifting. J. Electromyogr. Kinesiol. 8:233\u2013245, 1998.","journal-title":"J. Electromyogr. Kinesiol."},{"key":"394_CR20","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., and Bradley, B., 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":"394_CR21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1142\/S021951941540028X","volume":"15","author":"PA Karthick","year":"2015","unstructured":"Karthick, P. A., Venugopal, G., and Ramakrishnan, S., Analysis of surface EMG signals under fatigue and non-fatigue conditions using B-distribution based quadratic time frequency distribution. J. Mech. Med. Biol. 15:1\u20136, 2015.","journal-title":"J. Mech. Med. Biol."},{"key":"394_CR22","doi-asserted-by":"crossref","first-page":"832","DOI":"10.1016\/j.medengphy.2011.09.025","volume":"34","author":"L Ke","year":"2012","unstructured":"Ke, L., Hogrel, J.-Y., Jacques, D., and David, J. H., Analysis of fatigue and tremor during sustained maximal grip contractions using Hilbert-Huang Transformation. Med. Eng. Phys. 34:832\u2013840, 2012.","journal-title":"Med. Eng. Phys."},{"key":"394_CR23","author":"S Mihandoost","year":"2014","unstructured":"Mihandoost, S., and Amirani, M. C., EEG signal analysis using spectral correlation function & GARCH model. SIViP, 2014. doi: 10.1007\/s11760-013-0600-9 .","journal-title":"SIViP"},{"key":"394_CR24","doi-asserted-by":"crossref","first-page":"607","DOI":"10.1016\/j.compbiomed.2013.03.002","volume":"43","author":"T Li","year":"2013","unstructured":"Li, T., Qiu, T., and Tang, H., Optimum heart sound signal selection based on the cyclostationary property. Comput. Biol. Med. 43:607\u2013612, 2013.","journal-title":"Comput. Biol. Med."},{"key":"394_CR25","doi-asserted-by":"crossref","first-page":"1831","DOI":"10.1016\/j.medengphy.2013.05.004","volume":"35","author":"T Li","year":"2013","unstructured":"Li, T., Tang, H., Qiu, T., and Park, Y., Heart sound cancellation from lung sound record using cyclostationarity. Med. Eng. Phys. 35:1831\u20131836, 2013.","journal-title":"Med. Eng. Phys."},{"key":"394_CR26","author":"CN Gupta","year":"2007","unstructured":"Gupta, C. N., and Palaniappan, R., Enhanced detection of visual-evoked potentials in brain-computer interface using genetic algorithm and cyclostationary analysis. Comput. Intell. Neurosci. 2007. doi: 10.1155\/2007\/28692 .","journal-title":"Comput. Intell. Neurosci."},{"key":"394_CR27","unstructured":"Roussel, J., Haritopoulos, M., Ravier, P., and Buttelli, O. Cyclostationary analysis of electromyographic signal 21th European Signal Processing Conference, Morocco, 2013."},{"key":"394_CR28","unstructured":"Schnur, S. R. Identification and classification of OFDM based signals using preamble correlation and cyclostationary feature extraction, PhD thesis, Naval Postgraduate School, 2009."},{"key":"394_CR29","unstructured":"Da Costa, E. L. (1996) Detection and Identification of Cyclostationary Signals, Master\u2019s Thesis, March."},{"key":"394_CR30","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1007\/s13534-014-0135-1","volume":"4","author":"G Venugopal","year":"2014","unstructured":"Venugopal, G., and Ramakrishnan, S., Analysis of progressive changes associated with muscle fatigue in dynamic contraction of biceps brachii muscle using surface EMG signals and bispectrum features. Biomed. Eng. Lett. 4:269\u2013276, 2014.","journal-title":"Biomed. Eng. Lett."},{"key":"394_CR31","doi-asserted-by":"crossref","first-page":"2652","DOI":"10.1016\/j.eswa.2013.11.009","volume":"41","author":"G Venugopal","year":"2014","unstructured":"Venugopal, G., Navaneethakrishna, M., and Ramakrishnan, S., Extraction and analysis of multiple time window features associated with muscle fatigue conditions using sEMG signals. Expert Syst. Appl. 41:2652\u20132659, 2014.","journal-title":"Expert Syst. Appl."},{"key":"394_CR32","first-page":"10320","volume":"50","author":"S Sachin","year":"2012","unstructured":"Sachin, S., and Gaurav, K., Wavelet analysis based feature extraction for pattern classification from single channel acquired EMG signal. Elixir Control. Eng. 50:10320\u201310324, 2012.","journal-title":"Elixir Control. Eng."},{"issue":"3","key":"394_CR33","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/0165-1684(91)90016-C","volume":"22","author":"GD \u017divanovi\u0107","year":"1991","unstructured":"\u017divanovi\u0107, G. D., and Gardner, W. A., Degrees of cyclostationarity and their application to signal detection and estimation. Signal Process. 22(3):287\u2013297, 1991.","journal-title":"Signal Process."},{"key":"394_CR34","doi-asserted-by":"crossref","unstructured":"Roussel, J., Haritopoulos, M., Ravier, P., and Buttelli, O. A new cyclostationarity-based blind approach for motor unit\u2019s firing rate automated detection in electromyographic signals International Conference on Biomedical and Health Informatics, pp. 656\u2013659, 2014.","DOI":"10.1109\/BHI.2014.6864449"},{"key":"394_CR35","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1249\/00003677-198101000-00002","volume":"9","author":"B Bigland-Ritchie","year":"1981","unstructured":"Bigland-Ritchie, B., EMG\/force relations and fatigue of human voluntary contractions. Exerc. Sport Sci. Rev. 9:75\u2013117, 1981.","journal-title":"Exerc. Sport Sci. Rev."},{"key":"394_CR36","doi-asserted-by":"crossref","unstructured":"Naik, G.R., Kumar, D.K., Yadav, V., Wheeler, K., and Arjunan, S. Testing of motor unit synchronization model for localized muscle fatigue 31st Annual International Conference of Engineering in Medicine and Biology Society, pp. 360\u2013363, 2009.","DOI":"10.1109\/IEMBS.2009.5332486"},{"key":"394_CR37","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1007\/BF00636598","volume":"58","author":"L Arendt-Nielsen","year":"1988","unstructured":"Arendt-Nielsen, L., and Mills, K. R., Muscle fibre conduction velocity, mean power frequency, mean EMG voltage and force during submaximal fatiguing contractions of human quadriceps. Eur. J. Appl. Physiol. 58:20\u201325, 1988.","journal-title":"Eur. J. Appl. Physiol."}],"container-title":["Journal of Medical Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-015-0394-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10916-015-0394-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-015-0394-0","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,11]],"date-time":"2020-09-11T03:14:59Z","timestamp":1599794099000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10916-015-0394-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,11,7]]},"references-count":37,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2016,1]]}},"alternative-id":["394"],"URL":"https:\/\/doi.org\/10.1007\/s10916-015-0394-0","relation":{},"ISSN":["0148-5598","1573-689X"],"issn-type":[{"value":"0148-5598","type":"print"},{"value":"1573-689X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,11,7]]},"article-number":"28"}}