{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,15]],"date-time":"2024-09-15T05:53:40Z","timestamp":1726379620818},"reference-count":55,"publisher":"Springer Science and Business Media LLC","issue":"22","license":[{"start":{"date-parts":[[2018,11,24]],"date-time":"2018-11-24T00:00:00Z","timestamp":1543017600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,11,24]],"date-time":"2018-11-24T00:00:00Z","timestamp":1543017600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"crossref","award":["51575407","51575338","51575412","51505349","61733011"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"National Defense Pre-Research Foundation of Wuhan University of Science and Technology","award":["GF201705"]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2020,11]]},"DOI":"10.1007\/s00521-018-3909-z","type":"journal-article","created":{"date-parts":[[2018,11,24]],"date-time":"2018-11-24T02:14:44Z","timestamp":1543025684000},"page":"16795-16806","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":91,"title":["Surface EMG data aggregation processing for intelligent prosthetic action recognition"],"prefix":"10.1007","volume":"32","author":[{"ORCID":"http:\/\/orcid.org\/0000-0003-4982-349X","authenticated-orcid":false,"given":"Chengcheng","family":"Li","sequence":"first","affiliation":[]},{"given":"Gongfa","family":"Li","sequence":"additional","affiliation":[]},{"given":"Guozhang","family":"Jiang","sequence":"additional","affiliation":[]},{"given":"Disi","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Honghai","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,11,24]]},"reference":[{"issue":"22","key":"3909_CR1","first-page":"1","volume":"49","author":"A Mai","year":"2016","unstructured":"Mai A, Commuri S (2016) Intelligent control of a prosthetic ankle joint using gait recognition. Control Eng Pract 49(22):1\u201313","journal-title":"Control Eng Pract"},{"issue":"5","key":"3909_CR2","first-page":"28","volume":"69","author":"MZ Tong","year":"2017","unstructured":"Tong MZ (2017) Plasticity of brain. Science 69(5):28\u201331","journal-title":"Science"},{"issue":"5","key":"3909_CR3","doi-asserted-by":"crossref","first-page":"1221","DOI":"10.1007\/s10514-016-9591-z","volume":"41","author":"W Choi","year":"2017","unstructured":"Choi W, Won J, Lee J et al (2017) Low stiffness design and hysteresis compensation torque control of SEA for active exercise rehabilitation robots. Auton Robots 41(5):1221\u20131242","journal-title":"Auton Robots"},{"key":"3909_CR4","unstructured":"Xue J, Zou Z, Wei X et al (2011) Investigation and reflection on the current situation of rehabilitation therapy education in China. In: National conference on rehabilitation therapy of China Rehabilitation Medical Association, pp 1149\u20131151"},{"issue":"3","key":"3909_CR5","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1007\/s13246-011-0079-z","volume":"34","author":"P Geethanjali","year":"2011","unstructured":"Geethanjali P, Ray KK (2011) Identification of motion from multi-channel EMG signals for control of prosthetic hand. Australas Phys Eng Sci Med 34(3):419\u2013427","journal-title":"Australas Phys Eng Sci Med"},{"issue":"1","key":"3909_CR6","first-page":"71","volume":"1","author":"A Phinyomark","year":"2009","unstructured":"Phinyomark A, Limsakul C, Phukpattaranont P (2009) A novel feature extraction for robust EMG pattern recognition. J Comput 1(1):71\u201380","journal-title":"J Comput"},{"key":"3909_CR7","unstructured":"Cipriani C, Controzzi M, Carrozza MC (2009) Towards the development of the smart hand transradial prosthesis. In: Proceeding of IEEE 11th international conference on rehabilitation robotics, Kyoto, Kyoto, vol 35, pp 682\u2013687"},{"issue":"2","key":"3909_CR8","doi-asserted-by":"crossref","first-page":"45","DOI":"10.2478\/v10048-011-0009-y","volume":"11","author":"A Phinyomark","year":"2011","unstructured":"Phinyomark A, Limsakul C, Phukpattaranont P (2011) Application of wavelet analysis in EMG feature extraction for pattern classification. Meas Sci Rev 11(2):45\u201352","journal-title":"Meas Sci Rev"},{"issue":"4","key":"3909_CR9","doi-asserted-by":"crossref","first-page":"4058","DOI":"10.1016\/j.eswa.2010.09.068","volume":"38","author":"J Rafiee","year":"2011","unstructured":"Rafiee J, Rafiee MA, Yavari F et al (2011) Feature extraction of forearm EMG signals for prosthetics. Expert Syst Appl 38(4):4058\u20134067","journal-title":"Expert Syst Appl"},{"issue":"2","key":"3909_CR10","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1109\/TBCAS.2014.2309252","volume":"8","author":"ABMSU Doulah","year":"2014","unstructured":"Doulah ABMSU, Fattah SA, Zhu WP et al (2014) DCT domain feature extraction scheme based on motor unit action potential of EMG signal for neuromuscular disease classification. IEEE Trans Biomed Circuits Syst 8(2):155\u2013164","journal-title":"IEEE Trans Biomed Circuits Syst"},{"issue":"11","key":"3909_CR11","doi-asserted-by":"crossref","first-page":"2232","DOI":"10.1109\/TBME.2006.883695","volume":"53","author":"JU Chu","year":"2006","unstructured":"Chu JU, Moon I, Mun MS (2006) A real-time EMG pattern recognition system based on linear-nonlinear feature projection for a multifunction myoelectric hand. IEEE Trans Biomed Eng 53(11):2232\u20132239","journal-title":"IEEE Trans Biomed Eng"},{"issue":"1","key":"3909_CR12","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1475-925X-6-45","volume":"6","author":"M Khezri","year":"2007","unstructured":"Khezri M, Jahed M (2007) Real-time intelligent pattern recognition algorithm for surface EMG signals. BioMed Eng OnLine 6(1):1\u201312","journal-title":"BioMed Eng OnLine"},{"issue":"5","key":"3909_CR13","doi-asserted-by":"crossref","first-page":"1250","DOI":"10.1109\/TBME.2012.2232293","volume":"60","author":"AJ Young","year":"2013","unstructured":"Young AJ, Smith LH, Rouse EJ et al (2013) Classification of simultaneous movements using surface EMG pattern recognition. IEEE Trans Biomed Eng 60(5):1250\u20131258","journal-title":"IEEE Trans Biomed Eng"},{"issue":"5","key":"3909_CR14","first-page":"1","volume":"55","author":"MS Al-Quraishi","year":"2016","unstructured":"Al-Quraishi MS, Ishak AJ, Ahmad SA et al (2016) Classification of ankle joint movements based on surface electromyography signals for rehabilitation robot applications. Med Biol Eng Comput 55(5):1\u201312","journal-title":"Med Biol Eng Comput"},{"issue":"11","key":"3909_CR15","doi-asserted-by":"crossref","first-page":"1260","DOI":"10.1016\/j.medengphy.2016.09.009","volume":"38","author":"L Kahl","year":"2016","unstructured":"Kahl L, Hofmann UG (2016) Comparison of algorithms to quantify muscle fatigue in upper limb muscles based on sEMG signals. Med Eng Phys 38(11):1260\u20131269","journal-title":"Med Eng Phys"},{"issue":"1","key":"3909_CR16","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1109\/TCYB.2014.2386856","volume":"46","author":"Y Na","year":"2017","unstructured":"Na Y, Choi C, Lee HD et al (2017) A study on estimation of joint force through isometric index finger abduction with the help of SEMG Peaks for biomedical applications. IEEE Trans Cybern 46(1):2\u20138","journal-title":"IEEE Trans Cybern"},{"key":"3909_CR17","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1007\/978-3-642-40852-6_41","volume":"8102","author":"Y Fang","year":"2013","unstructured":"Fang Y, Zhu X, Liu H (2013) Development of a surface EMG acquisition system with novel electrodes configuration and signal representation. Lect Notes Comput Sci 8102:405\u2013414","journal-title":"Lect Notes Comput Sci"},{"issue":"3","key":"3909_CR18","doi-asserted-by":"crossref","first-page":"652","DOI":"10.1109\/TRO.2016.2558193","volume":"32","author":"CH Xiong","year":"2016","unstructured":"Xiong CH, Chen WR, Sun BY et al (2016) Design and implementation of an anthropomorphic hand for replicating human grasping functions. IEEE Trans Robot 32(3):652\u2013671","journal-title":"IEEE Trans Robot"},{"issue":"1","key":"3909_CR19","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/S0753-9053(86)80053-9","volume":"5","author":"A Kapandji","year":"1986","unstructured":"Kapandji A (1986) Clinical test of apposition and counter-apposition of the thumb. Ann Chir Main 5(1):67\u201373","journal-title":"Ann Chir Main"},{"key":"3909_CR20","doi-asserted-by":"crossref","first-page":"61","DOI":"10.2147\/OARRR.S128675","volume":"9","author":"E Velasco","year":"2017","unstructured":"Velasco E, Ribera MV, Pi J (2017) Single-arm open-label study of Durolane (NASHA nonanimal hyaluronic acid) for the treatment of osteoarthritis of the thumb. Open Access Rheumatol 9:61\u201366","journal-title":"Open Access Rheumatol"},{"issue":"12","key":"3909_CR21","doi-asserted-by":"crossref","first-page":"4832","DOI":"10.1016\/j.eswa.2013.02.023","volume":"40","author":"A Phinyomark","year":"2013","unstructured":"Phinyomark A, Quaine F, Charbonnier S et al (2013) EMG feature evaluation for improving myoelectric pattern recognition robustness. Expert Syst Appl Int J 40(12):4832\u20134840","journal-title":"Expert Syst Appl Int J"},{"issue":"4","key":"3909_CR22","doi-asserted-by":"crossref","first-page":"106","DOI":"10.3390\/e18040106","volume":"18","author":"X Zhang","year":"2016","unstructured":"Zhang X, Ren X, Gao X et al (2016) Complexity analysis of surface EMG for overcoming ECG interference toward proportional myoelectric control. Entropy 18(4):106","journal-title":"Entropy"},{"key":"3909_CR23","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-018-6293-x","author":"G Li","year":"2018","unstructured":"Li G, Zhang L, Sun Y, Kong J (2018) Towards the sEMG hand: Internet of Things sensors and haptic feedback application. Multimed Tools Appl. \nhttps:\/\/doi.org\/10.1007\/s11042-018-6293-x","journal-title":"Multimed Tools Appl"},{"key":"3909_CR24","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-018-1844-5","author":"D Jiang","year":"2018","unstructured":"Jiang D, Zheng Z, Li G, Sun Y, Kong J, Jiang G, Xiong H, Tao B, Xu S, Liu H, Ju Z (2018) Gesture recognition based on binocular vision. Cluster Comput. \nhttps:\/\/doi.org\/10.1007\/s10586-018-1844-5","journal-title":"Cluster Comput"},{"issue":"1","key":"3909_CR25","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1007\/s11223-018-9955-z","volume":"50","author":"Y He","year":"2018","unstructured":"He Y, Li G, Zhao Y, Sun Y, Jiang G (2018) Numerical simulation-based optimization of contact stress distribution and lubrication conditions in the straight worm drive. Strength Mater 50(1):157\u2013165","journal-title":"Strength Mater"},{"issue":"2","key":"3909_CR26","first-page":"659","volume":"63","author":"W Chang","year":"2018","unstructured":"Chang W, Li G, Kong J, Sun Ying, Jiang G, Liu H (2018) Thermal mechanical stress analysis of ladle lining with integral brick joint. Arch Metall Mater 63(2):659\u2013666","journal-title":"Arch Metall Mater"},{"key":"3909_CR27","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-017-1435-x","author":"G Li","year":"2017","unstructured":"Li G, Tang H, Sun Y, Kong J, Jiang G, Jiang D, Tao B, Xu S, Liu H (2017) Hand gesture recognition based on convolution neural network. Cluster Comput. \nhttps:\/\/doi.org\/10.1007\/s10586-017-1435-x","journal-title":"Cluster Comput"},{"key":"3909_CR28","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-017-1237-1","author":"Y He","year":"2018","unstructured":"He Y, Li G, Liao Y, Sun Y, Kong J, Jiang G, Jiang D, Liu H (2018) Gesture recognition based on an improved local sparse representation classification algorithm. Cluster Comput. \nhttps:\/\/doi.org\/10.1007\/s10586-017-1237-1","journal-title":"Cluster Comput"},{"key":"3909_CR29","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-017-1231-7","author":"B Li","year":"2017","unstructured":"Li B, Sun Y, Li G, Kong J, Jiang G, Jiang D, Liu H (2017) Gesture recognition based on modified adaptive orthogonal matching pursuit algorithm. Cluster Comput. \nhttps:\/\/doi.org\/10.1007\/s10586-017-1231-7","journal-title":"Cluster Comput"},{"issue":"2","key":"3909_CR30","doi-asserted-by":"crossref","first-page":"253","DOI":"10.3390\/s17020253","volume":"17","author":"D Chen","year":"2017","unstructured":"Chen D, Li G, Sun Y, Kong J, Jiang G, Tang H, Ju Z, Yu H, Liu H (2017) An interactive image segmentation method in hand gesture recognition. Sensors 17(2):253","journal-title":"Sensors"},{"issue":"7","key":"3909_CR31","doi-asserted-by":"crossref","first-page":"1491","DOI":"10.3390\/s17071491","volume":"17","author":"Y Liao","year":"2017","unstructured":"Liao Y, Sun Y, Li G, Kong J, Jiang G, Jiang D, Cai H, Ju Z, Yu H, Liu H (2017) Simultaneous calibration: a joint optimization approach for multiple kinect and external cameras. Sensors 17(7):1491","journal-title":"Sensors"},{"issue":"3","key":"3909_CR32","first-page":"238","volume":"14","author":"W Miao","year":"2015","unstructured":"Miao W, Li G, Jiang G, Fang Y, Ju Z, Liu H (2015) Optimal grasp planning of multi-fingered robotic hands: a review. Appl Comput Math 14(3):238\u2013247","journal-title":"Appl Comput Math"},{"issue":"2","key":"3909_CR33","first-page":"1550011-1-13","volume":"12","author":"Yinfeng Fang","year":"2015","unstructured":"Fang Yinfeng, Liu Honghai, Li Gongfa, Zhu Xiangyang (2015) A multichannel surface EMG system for hand motion recognition. Int J Humanoid Robot 12(2):1550011-1-13","journal-title":"Int J Humanoid Robot"},{"issue":"6","key":"3909_CR34","first-page":"1415","volume":"8","author":"Qian Yin","year":"2015","unstructured":"Yin Qian, Li Gongfa, Guozhang Jiang (2015) Research on the method of step feature extraction for EOD robot based on 2D laser radar. Discrete Contin Dyn Syst Ser S 8(6):1415\u20131421","journal-title":"Discrete Contin Dyn Syst Ser S"},{"issue":"4","key":"3909_CR35","doi-asserted-by":"crossref","first-page":"797","DOI":"10.1007\/s11036-018-1008-0","volume":"23","author":"Y Sun","year":"2018","unstructured":"Sun Y, Li C, Li G, Jiang G, Jiang D, Liu H, Zheng Z, Shu W (2018) Gesture recognition based on kinect and sEMG signal fusion. Mob Netw Appl 23(4):797\u2013805","journal-title":"Mob Netw Appl"},{"key":"3909_CR36","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11227-018-2255-3","volume":"1","author":"Y Sun","year":"2018","unstructured":"Sun Y, Hu J, Li G, Jiang G, Xiong H, Tao B, Zheng Z, Jiang D (2018) Gear reducer optimal design based on computer multimedia simulation. J Supercomput 1:1. \nhttps:\/\/doi.org\/10.1007\/s11227-018-2255-3","journal-title":"J Supercomput"},{"issue":"4","key":"3909_CR37","doi-asserted-by":"crossref","first-page":"168781401557598","DOI":"10.1177\/1687814015575988","volume":"7","author":"G Li","year":"2015","unstructured":"Li G, Liu J, Jiang G, Liu H (2015) Numerical simulation of temperature field and thermal stress field in the new type of ladle with the nanometer adiabatic material. Adv Mech Eng 7(4):1687814015575988","journal-title":"Adv Mech Eng"},{"issue":"6","key":"3909_CR38","doi-asserted-by":"crossref","first-page":"168781401558966","DOI":"10.1177\/1687814015589667","volume":"7","author":"G Li","year":"2015","unstructured":"Li G, Liu Z, Jiang G, Xiong H, Liu H (2015) Numerical simulation of the influence factors for rotary kiln in temperature field and stress field and the structure optimization. Adv Mech Eng 7(6):1687814015589667","journal-title":"Adv Mech Eng"},{"issue":"6","key":"3909_CR39","first-page":"1223","volume":"8","author":"G Li","year":"2015","unstructured":"Li G, Miao W, Jiang G, Fang Y, Ju Z, Liu H (2015) Intelligent control model and its simulation of flue temperature in coke oven. Discrete Contin Dyn Syst Ser S (DCDS-S) 8(6):1223\u20131237","journal-title":"Discrete Contin Dyn Syst Ser S (DCDS-S)"},{"issue":"3","key":"3909_CR40","doi-asserted-by":"crossref","first-page":"1051","DOI":"10.12785\/amis\/070324","volume":"7","author":"G Li","year":"2013","unstructured":"Li G, Gu Y, Kong J, Jiang G, Xie L, Wu Z, Li Z, He Y, Gao P (2013) Intelligent control of air compressor production process. Appl Math Inf Sci 7(3):1051\u20131058","journal-title":"Appl Math Inf Sci"},{"issue":"3","key":"3909_CR41","doi-asserted-by":"crossref","first-page":"1043","DOI":"10.12785\/amis\/070323","volume":"7","author":"G Li","year":"2013","unstructured":"Li G, Qu P, Kong J, Jiang G, Xie L, Gao P, Wu Z, He Yuan (2013) Coke oven intelligent integrated control system. Appl Math Inf Sci 7(3):1043\u20131050","journal-title":"Appl Math Inf Sci"},{"issue":"2","key":"3909_CR42","doi-asserted-by":"crossref","first-page":"439","DOI":"10.12785\/amis\/070203","volume":"7","author":"G Li","year":"2013","unstructured":"Li G, Qu P, Kong J, Jiang G, Xie L, Wu Z, Gao P, He Yuan (2013) Influence of working lining parameters on temperature and stress field of ladle. Appl Math Inf Sci 7(2):439\u2013448","journal-title":"Appl Math Inf Sci"},{"issue":"11","key":"3909_CR43","first-page":"4487","volume":"15","author":"G Li","year":"2012","unstructured":"Li G, Kong J, Jiang G, Xie L, Jiang Z, Zhao G (2012) Air-fuel ratio intelligent control in coke oven combustion process. Inf Int Interdiscip J 15(11):4487\u20134494","journal-title":"Inf Int Interdiscip J"},{"issue":"1","key":"3909_CR44","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.ejor.2016.07.030","volume":"257","author":"H Xiong","year":"2017","unstructured":"Xiong H, Fan H, Jiang G, Li Gongfa (2017) A simulation-based study of dispatching rules in a dynamic job shop scheduling problem with batch release and extended technical precedence constraints. Eur J Oper Res 257(1):13\u201324","journal-title":"Eur J Oper Res"},{"issue":"9","key":"3909_CR45","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1177\/1687814015604546","volume":"7","author":"H Xiong","year":"2015","unstructured":"Xiong H, Fan H, Li G, Jiang Guozhang (2015) Research on steady-state simulation in dynamic job shop scheduling problem. Adv Mech Eng 7(9):1\u201311","journal-title":"Adv Mech Eng"},{"key":"3909_CR46","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.sigpro.2018.01.015","volume":"147","author":"F Han","year":"2018","unstructured":"Han F, Dong HL, Wang ZD, Li G, Alsaadi FE (2018) Improved Tobit Kalman filtering for systems with random parameters via conditional expectation. Signal Process 147:35\u201345","journal-title":"Signal Process"},{"issue":"5","key":"3909_CR47","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1080\/03081079.2018.1476949","volume":"47","author":"XY Bu","year":"2018","unstructured":"Bu XY, Dong HL, Han F, Li GF (2018) Event-triggered distributed filtering over sensor networks with deception attacks and partial measurements. Int J Gen Syst 47(5):395\u2013407","journal-title":"Int J Gen Syst"},{"key":"3909_CR48","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.bspc.2017.09.007","volume":"40","author":"T Garikayi","year":"2018","unstructured":"Garikayi T, Heever DVD, Matope S (2018) Analysis of surface electromyography signal features on osteomyoplastic transtibial amputees for pattern recognition control architectures. Biomed Signal Process Control 40:10\u201322","journal-title":"Biomed Signal Process Control"},{"issue":"C","key":"3909_CR49","doi-asserted-by":"crossref","first-page":"558","DOI":"10.1016\/j.pisc.2016.06.019","volume":"8","author":"M Khan","year":"2016","unstructured":"Khan M, Jahan M (2016) Sub-vocal speech pattern recognition of Hindi alphabet with surface electromyography signal. Perspect Sci 8(C):558\u2013560","journal-title":"Perspect Sci"},{"key":"3909_CR50","first-page":"1","volume":"2017","author":"OW Samuel","year":"2017","unstructured":"Samuel OW, Zhou H, Li X et al (2017) Pattern recognition of electromyography signals based on novel time domain features for amputees\u2019 limb motion classification. Comput Electr Eng 2017:1\u201310","journal-title":"Comput Electr Eng"},{"key":"3909_CR51","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-018-6748-0","author":"D Jiang","year":"2018","unstructured":"Jiang D, Li G, Sun Y et al (2018) Gesture recognition based on skeletonization algorithm and CNN with ASL database. Multimed Tools Appl. \nhttps:\/\/doi.org\/10.1007\/s11042-018-6748-0","journal-title":"Multimed Tools Appl"},{"key":"3909_CR52","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-018-3775-8","author":"W Cheng","year":"2018","unstructured":"Cheng W, Sun Y, Li G et al (2018) Jointly network: a network based on CNN and RBM for gesture recognition. Neural Comput Appl. \nhttps:\/\/doi.org\/10.1007\/s00521-018-3775-8","journal-title":"Neural Comput Appl"},{"key":"3909_CR53","first-page":"1512","volume":"5","author":"SA Ahmad","year":"2011","unstructured":"Ahmad SA, Ishak AJ, Ali SH et al (2011) Review of electromyography control systems based on pattern recognition for prosthesis control application. J Appl Sci Res 7(8):1512","journal-title":"J Appl Sci Res"},{"issue":"6","key":"3909_CR54","doi-asserted-by":"crossref","first-page":"1779","DOI":"10.1007\/s10439-011-0265-x","volume":"39","author":"G Li","year":"2011","unstructured":"Li G, Li Y, Yu L et al (2011) Conditioning and sampling issues of EMG signals in motion recognition of multifunctional myoelectric prostheses. Ann Biomed Eng 39(6):1779\u20131787","journal-title":"Ann Biomed Eng"},{"issue":"2","key":"3909_CR55","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1109\/TLA.2017.7854610","volume":"15","author":"CA Calderon","year":"2017","unstructured":"Calderon CA, Ramirez C, Barros V et al (2017) Design and deployment of grasp control system applied to robotic hand prosthesis. IEEE Latin Am Trans 15(2):181\u2013188","journal-title":"IEEE Latin Am Trans"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-018-3909-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-018-3909-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-018-3909-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,22]],"date-time":"2020-10-22T10:05:14Z","timestamp":1603361114000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-018-3909-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11,24]]},"references-count":55,"journal-issue":{"issue":"22","published-print":{"date-parts":[[2020,11]]}},"alternative-id":["3909"],"URL":"http:\/\/dx.doi.org\/10.1007\/s00521-018-3909-z","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,11,24]]},"assertion":[{"value":"24 September 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 November 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 November 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}
