Time series modeling of surface EMG based hand manipulation identification via expectation maximization algorithm
In this paper, we focus on the method of employing the expectation maximization (EM) algorithm to the modeling of surface electromyography (sEMG) signals based on hand manipulations via available time series of the measured data. The model for the sEMG is developed as a hidden Markov model (HMM) fra...
Saved in:
| Published in | Neurocomputing (Amsterdam) Vol. 168; pp. 661 - 668 |
|---|---|
| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
30.11.2015
|
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | In this paper, we focus on the method of employing the expectation maximization (EM) algorithm to the modeling of surface electromyography (sEMG) signals based on hand manipulations via available time series of the measured data. The model for the sEMG is developed as a hidden Markov model (HMM) framework. In order to represent dynamical characteristics of sEMG when multichannel observation sequence are given, a stochastic dynamic process is included in it based on the maximum likelihood estimation (MLE) principle. By using the EM algorithm, the hidden model parameters and the feature of the signal can be identified easily. Ten people of different time series data sets of different hand grasps and in-hand manipulations captured from different subjects are collected. The two different classifiers were used to recognize these hand manipulation signal. Compared with time and time–frequency domains and their combination feature, the proposed algorithm of the inferred model gains better performance and demonstrates the effectiveness. The average identification accuracy rate is 93% and the maximum classification ratio is 100%. |
|---|---|
| AbstractList | In this paper, we focus on the method of employing the expectation maximization (EM) algorithm to the modeling of surface electromyography (sEMG) signals based on hand manipulations via available time series of the measured data. The model for the sEMG is developed as a hidden Markov model (HMM) framework. In order to represent dynamical characteristics of sEMG when multichannel observation sequence are given, a stochastic dynamic process is included in it based on the maximum likelihood estimation (MLE) principle. By using the EM algorithm, the hidden model parameters and the feature of the signal can be identified easily. Ten people of different time series data sets of different hand grasps and in-hand manipulations captured from different subjects are collected. The two different classifiers were used to recognize these hand manipulation signal. Compared with time and time–frequency domains and their combination feature, the proposed algorithm of the inferred model gains better performance and demonstrates the effectiveness. The average identification accuracy rate is 93% and the maximum classification ratio is 100%. |
| Author | Liu, Honghai Lu, Yang Ju, Zhaojie Liu, Yurong Shen, Yuxuan |
| Author_xml | – sequence: 1 givenname: Yang orcidid: 0000-0001-9887-7078 surname: Lu fullname: Lu, Yang email: luyanga@sina.com organization: College of Information Technology, Heilongjiang Bayi Agricultural University, Daqing 163319, PR China – sequence: 2 givenname: Zhaojie surname: Ju fullname: Ju, Zhaojie email: zhaojie.ju@port.ac.uk organization: Intelligent System & Biomedical Robotics Group, School of Computing, University of Portsmouth, Portsmouth PO1 3HE, UK – sequence: 3 givenname: Yurong surname: Liu fullname: Liu, Yurong email: liuyurong@gmail.com organization: Department of Mathematics, Yangzhou University, Yangzhou, Jiangsu 225002, PR China – sequence: 4 givenname: Yuxuan surname: Shen fullname: Shen, Yuxuan email: shenyuxuan5973@163.com organization: College of Electrical and Information Engineering, Northeast Petroleum University, Daqing 163318, China – sequence: 5 givenname: Honghai surname: Liu fullname: Liu, Honghai email: honghai.liu@port.ac.uk organization: Intelligent System & Biomedical Robotics Group, School of Computing, University of Portsmouth, Portsmouth PO1 3HE, UK |
| BookMark | eNqFkM1KAzEUhYNUsK2-gYu8wIxJ5qczLgQptQoVN3UdMslNe8tMpibTUn16O4wrFwoHLmfxHbjfhIxc64CQW85iznh-t4sdHHTbxILxLGZ9igsy5sVMRIUo8hEZs1JkkUi4uCKTEHaM8RkX5Zh8rLEBGsAjBNq0Bmp0G9paGg7eKg108bqklQpg6FY5QxvlcH-oVYeto2jAdWhRD_WIisJpD7obeqNO2ODXUFS9aT122-aaXFpVB7j5uVPy_rRYz5-j1dvyZf64inQqRBelAIzZKilLYxlnNhXaKkhNmetKpGWZQ8V1DjafKZYbkRor0iSBhJmsym2mkilJh13t2xA8WLn32Cj_KTmTvTa5k4M22WuTrE9xxu5_YRqHfzqvsP4PfhhgOD92RPAyaASnwaA_a5Gmxb8HvgGZ1ZFg |
| CitedBy_id | crossref_primary_10_1016_j_aej_2020_01_007 crossref_primary_10_1016_j_neucom_2016_11_101 crossref_primary_10_3390_s18082402 crossref_primary_10_3390_sym12040541 crossref_primary_10_1155_2018_3016343 |
| Cites_doi | 10.1109/5.18626 10.1109/TBME.2013.2260160 10.1080/21642583.2014.985804 10.1016/j.automatica.2015.02.024 10.1109/TBME.2011.2118756 10.1155/2013/646059 10.1080/21642583.2014.987359 10.1016/j.neucom.2012.01.010 10.1109/TAC.2011.2176362 10.1109/TNANO.2011.2171193 10.1080/21642583.2014.912571 10.1109/TCSI.2012.2185330 10.1109/TSP.2011.2135854 10.1109/TBME.2011.2163069 10.1080/21642583.2014.880827 10.1109/TSP.2012.2232660 10.1109/JSEN.2013.2259051 10.1109/ROBOT.2008.4543291 10.1109/TNSRE.2014.2316547 10.1109/TITB.2009.2035050 10.1109/JBHI.2013.2261311 10.1023/A:1024758415877 10.1109/IEMBS.2006.259329 10.1080/03081079.2014.892251 10.1109/TNB.2008.2000149 10.1109/TSMC.1975.5408479 10.1016/j.neucom.2014.03.052 10.1109/TNSRE.2007.897025 10.1111/j.1467-9892.1982.tb00349.x 10.1016/j.automatica.2014.10.026 10.1023/A:1024706431807 10.1023/A:1009715923555 10.1080/03081079.2014.973729 10.1109/TIE.2012.2213553 10.1109/TBME.2007.894827 10.1109/TIE.2010.2053334 10.1080/21642583.2013.879543 10.1109/LSP.2014.2313880 10.1109/TAC.2012.2190179 10.1251/bpo115 |
| ContentType | Journal Article |
| Copyright | 2015 Elsevier B.V. |
| Copyright_xml | – notice: 2015 Elsevier B.V. |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.neucom.2015.05.058 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| EISSN | 1872-8286 |
| EndPage | 668 |
| ExternalDocumentID | 10_1016_j_neucom_2015_05_058 S0925231215007390 |
| GroupedDBID | --- --K --M .DC .~1 0R~ 123 1B1 1~. 1~5 4.4 457 4G. 53G 5VS 7-5 71M 8P~ 9JM 9JN AABNK AACTN AADPK AAEDT AAEDW AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAXLA AAXUO AAYFN ABBOA ABCQJ ABFNM ABJNI ABMAC ABYKQ ACDAQ ACGFS ACRLP ACZNC ADBBV ADEZE AEBSH AEKER AENEX AFKWA AFTJW AFXIZ AGHFR AGUBO AGWIK AGYEJ AHHHB AHZHX AIALX AIEXJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD AXJTR BKOJK BLXMC CS3 DU5 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 F5P FDB FIRID FNPLU FYGXN G-Q GBLVA GBOLZ IHE J1W KOM LG9 M41 MO0 MOBAO N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 RIG ROL RPZ SDF SDG SDP SES SPC SPCBC SSN SSV SSZ T5K ZMT ~G- 29N AAQXK AATTM AAXKI AAYWO AAYXX ABWVN ABXDB ACNNM ACRPL ACVFH ADCNI ADJOM ADMUD ADNMO AEIPS AEUPX AFJKZ AFPUW AGCQF AGQPQ AGRNS AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP ASPBG AVWKF AZFZN BNPGV CITATION FEDTE FGOYB HLZ HVGLF HZ~ R2- SBC SEW SSH WUQ XPP |
| ID | FETCH-LOGICAL-c422t-4ee00fb399df010f42cfae4d96cb24996eb1c6ef67a06d24df2433e30d5b6f5a3 |
| IEDL.DBID | .~1 |
| ISSN | 0925-2312 |
| IngestDate | Thu Apr 24 23:06:47 EDT 2025 Thu Jul 03 08:19:28 EDT 2025 Fri Feb 23 02:28:30 EST 2024 |
| IsDoiOpenAccess | false |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Hidden Markov model Surface electromyography recognition Expectation maximization algorithm Time series data |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c422t-4ee00fb399df010f42cfae4d96cb24996eb1c6ef67a06d24df2433e30d5b6f5a3 |
| ORCID | 0000-0001-9887-7078 |
| OpenAccessLink | https://researchportal.port.ac.uk/portal/en/publications/time-series-modeling-of-surface-emg-based-hand-manipulation-identification-via-expectation-maximization-algorithm(f817c5af-5edd-4c82-9a0b-1a456e6edcbe).html |
| PageCount | 8 |
| ParticipantIDs | crossref_primary_10_1016_j_neucom_2015_05_058 crossref_citationtrail_10_1016_j_neucom_2015_05_058 elsevier_sciencedirect_doi_10_1016_j_neucom_2015_05_058 |
| PublicationCentury | 2000 |
| PublicationDate | 2015-11-30 |
| PublicationDateYYYYMMDD | 2015-11-30 |
| PublicationDate_xml | – month: 11 year: 2015 text: 2015-11-30 day: 30 |
| PublicationDecade | 2010 |
| PublicationTitle | Neurocomputing (Amsterdam) |
| PublicationYear | 2015 |
| Publisher | Elsevier B.V |
| Publisher_xml | – name: Elsevier B.V |
| References | Burges (bib3) 1998; 2 Dong, Wang, Gao (bib11) 2013; 60 T. Kitamura, N. Tsujiuchi, T. Koizumi, Hand motion estimation by EMG signals using linear multiple regression models, in: Proceedings of the 28th IEEE In Engineering in Medicine and Biology Society Annual International Conference, New York, USA, 2008, pp. 1339–1342. Chiang, Wang, McKeown (bib7) 2008; 56 Kato, Taniguchi, Honda (bib19) 2006; 54 Inoussa, Peng, Wu (bib15) 2012; 86 Kermani, Sakly (bib41) 2014; 2 Zeng, Wang, Li, Du, Cao, Liu (bib34) 2013; 60 Brockwell, Davis (bib1) 2009 Khezri, Jahed (bib21) 2011; 58 Jaoude (bib44) 2015; 3 Dong, Wang, Ding, Gao (bib47) 2014; 50 Dideriksen, Gianfelici, Maneski, Farina (bib8) 2011; 58 Vapnik (bib33) 1995 Hu, Wang, Shen, Gao (bib49) 2013; 61 Bu, Fukuda, Tsuji (bib2) 2003; 21 Ouyang, Zhu, Ju, Liu (bib25) 2014; 18 control for discrete time-varying systems with randomly occurring nonlinearities and fading measurements, IEEE Trans. Autom. Control, in press Monsifrot, le Carpentier, Aoustin, Farina (bib24) 2014; 22 Khan, Dutt (bib20) 2007; 54 Dong, Wang, Ho, Gao (bib10) 2011; 59 Dideriksen, Enoka, Farina (bib9) 2011; 58 Zivanovic (bib35) 2014; 21 Zeng, Wang, Li, Du, Liu (bib37) 2012; 11 L. Rabiner, A tutorial on hidden Markov models and selected applications in speech recognition, Proc. IEEE 77(2) (1989) 257–286. . Ding, Wang, Shen, Dong (bib38) 2015; 55 Mukhopadhyay, Goswami (bib48) 2014; 2 Dong, Wang, Gao (bib12) 2012; 59 Wang, Eatock, McClean, Liu, Liu, Young (bib28) 2013; 4 C. Castellini, P. van der Smagt, G. Sandini, G. Hirzinger, Surface EMG for force control of mechanical hands, in: Proceedings of the IEEE International Conference on Robotics and Automation, Pasadena, CA, USA, pp. 725–730, 2008. Singh, Taheri (bib36) 2015; 3 J. Hu, Z. Wang, H. Dong, H. Gao, Recent advances on recursive filtering and sliding mode design for networked nonlinear stochastic systems: a survey, Math. Probl. Eng., vol. 2013, 12 pp. (Article ID 646059). Jiang, Dosen, Müller, Farina (bib16) 2012; 29 Shumway, Stoffer (bib32) 1982; 3 Reaz, Hussain, Mohd-Yasin (bib27) 2006; 8 Graupe, Cline (bib14) 1975; 5 Luo, Wei, Liu, Ding (bib45) 2015; 44 Samanta (bib46) 2014; 2 Wang, Zineddin, Liang, Zeng, Li, Du, Cao, Liu (bib30) 2014; 142 Chen, Wang, Xie, Yu (bib6) 2007; 15 Ghasemzadeh, Jafari, Prabhakaran (bib13) 2010; 14 Soares, Andrade, Lamounier, Carrijo (bib31) 2006; 21 Karlk (bib18) 2014; 4 A.D.C. Chan, G.C. Green, Myoelectric control development toolbox, in: Proceedings of the 30th Conference of the Canadian Medical & Biological Engineering Society, Toronto, CA, USA, 2007. Shen, Wang, Liu (bib43) 2012; 57 Hu, Chen, Du (bib40) 2014; 43 Wang, Yang, Ho, Swift, Tucker, Liu (bib29) 2008; 7 Kuczma (bib23) 2008 D. Ding, Z. Wang, J. Lam, B. Shen, Finite-horizon H Wang, Shen, Shu, Wei (bib42) 2012; 57 Ju, Ouyang, Wilamowska-Korsak, Liu (bib17) 2013; 13 Inoussa (10.1016/j.neucom.2015.05.058_bib15) 2012; 86 Dong (10.1016/j.neucom.2015.05.058_bib47) 2014; 50 Dong (10.1016/j.neucom.2015.05.058_bib11) 2013; 60 Wang (10.1016/j.neucom.2015.05.058_bib42) 2012; 57 Reaz (10.1016/j.neucom.2015.05.058_bib27) 2006; 8 Singh (10.1016/j.neucom.2015.05.058_bib36) 2015; 3 Wang (10.1016/j.neucom.2015.05.058_bib29) 2008; 7 Chiang (10.1016/j.neucom.2015.05.058_bib7) 2008; 56 Wang (10.1016/j.neucom.2015.05.058_bib28) 2013; 4 Ju (10.1016/j.neucom.2015.05.058_bib17) 2013; 13 Kato (10.1016/j.neucom.2015.05.058_bib19) 2006; 54 Samanta (10.1016/j.neucom.2015.05.058_bib46) 2014; 2 Graupe (10.1016/j.neucom.2015.05.058_bib14) 1975; 5 Kermani (10.1016/j.neucom.2015.05.058_bib41) 2014; 2 Jiang (10.1016/j.neucom.2015.05.058_bib16) 2012; 29 Dong (10.1016/j.neucom.2015.05.058_bib10) 2011; 59 Karlk (10.1016/j.neucom.2015.05.058_bib18) 2014; 4 Monsifrot (10.1016/j.neucom.2015.05.058_bib24) 2014; 22 Zeng (10.1016/j.neucom.2015.05.058_bib37) 2012; 11 Chen (10.1016/j.neucom.2015.05.058_bib6) 2007; 15 Dideriksen (10.1016/j.neucom.2015.05.058_bib9) 2011; 58 10.1016/j.neucom.2015.05.058_bib50 Kuczma (10.1016/j.neucom.2015.05.058_bib23) 2008 Soares (10.1016/j.neucom.2015.05.058_bib31) 2006; 21 Jaoude (10.1016/j.neucom.2015.05.058_bib44) 2015; 3 Mukhopadhyay (10.1016/j.neucom.2015.05.058_bib48) 2014; 2 Wang (10.1016/j.neucom.2015.05.058_bib30) 2014; 142 10.1016/j.neucom.2015.05.058_bib26 Bu (10.1016/j.neucom.2015.05.058_bib2) 2003; 21 Burges (10.1016/j.neucom.2015.05.058_bib3) 1998; 2 Brockwell (10.1016/j.neucom.2015.05.058_bib1) 2009 Hu (10.1016/j.neucom.2015.05.058_bib40) 2014; 43 Vapnik (10.1016/j.neucom.2015.05.058_bib33) 1995 10.1016/j.neucom.2015.05.058_bib22 10.1016/j.neucom.2015.05.058_bib5 Zeng (10.1016/j.neucom.2015.05.058_bib34) 2013; 60 Ouyang (10.1016/j.neucom.2015.05.058_bib25) 2014; 18 10.1016/j.neucom.2015.05.058_bib4 Zivanovic (10.1016/j.neucom.2015.05.058_bib35) 2014; 21 Shumway (10.1016/j.neucom.2015.05.058_bib32) 1982; 3 Dideriksen (10.1016/j.neucom.2015.05.058_bib8) 2011; 58 Hu (10.1016/j.neucom.2015.05.058_bib49) 2013; 61 Dong (10.1016/j.neucom.2015.05.058_bib12) 2012; 59 Khezri (10.1016/j.neucom.2015.05.058_bib21) 2011; 58 Luo (10.1016/j.neucom.2015.05.058_bib45) 2015; 44 Shen (10.1016/j.neucom.2015.05.058_bib43) 2012; 57 10.1016/j.neucom.2015.05.058_bib39 Khan (10.1016/j.neucom.2015.05.058_bib20) 2007; 54 Ghasemzadeh (10.1016/j.neucom.2015.05.058_bib13) 2010; 14 Ding (10.1016/j.neucom.2015.05.058_bib38) 2015; 55 |
| References_xml | – year: 2009 ident: bib1 article-title: Time Series: Theory and Methods – volume: 59 start-page: 3048 year: 2011 end-page: 3057 ident: bib10 article-title: Robust publication-title: IEEE Trans. Signal Process. – volume: 54 start-page: 3414 year: 2006 end-page: 3425 ident: bib19 article-title: Statistical analysis for multiplicatively modulated nonlinear autoregressive model and its applications to electrophysiological signal analysis in humans publication-title: IEEE Trans. Biomed. Eng. – volume: 58 start-page: 2911 year: 2011 end-page: 2921 ident: bib8 article-title: EMG-based characterization of pathological tremor using the iterated Hilbert transform publication-title: IEEE Trans. Biomed. Eng. – year: 1995 ident: bib33 article-title: The Nature of Statistical Learning Theory – volume: 21 start-page: 692 year: 2014 end-page: 696 ident: bib35 article-title: Time-varying multicomponent signal modeling for analysis of surface EMG data publication-title: IEEE Signal Process. Lett. – reference: control for discrete time-varying systems with randomly occurring nonlinearities and fading measurements, IEEE Trans. Autom. Control, in press, – volume: 60 start-page: 4665 year: 2013 end-page: 4672 ident: bib11 article-title: Distributed publication-title: IEEE Trans. Ind. Electron. – volume: 14 start-page: 198 year: 2010 end-page: 206 ident: bib13 article-title: A body sensor network with electromyogram and inertial sensors publication-title: IEEE Trans. Inf. Technol. Biomed. – volume: 50 start-page: 3182 year: 2014 end-page: 3189 ident: bib47 article-title: Finite-horizon estimation of randomly occurring faults for a class of nonlinear time-varying systems publication-title: Automatica – volume: 59 start-page: 2354 year: 2012 end-page: 2362 ident: bib12 article-title: Fault detection for Markovian jump systems with sensor saturations and randomly varying nonlinearities publication-title: IEEE Trans. Circuits Syst. I: Reg. Pap. – volume: 2 start-page: 61 year: 2014 end-page: 73 ident: bib46 article-title: Analysis of a delayed hand-foot-mouth disease epidemic model with pulse vaccination publication-title: Syst. Sci. Control Eng.: Open Access J. – volume: 22 start-page: 1030 year: 2014 end-page: 1040 ident: bib24 article-title: Sequential decoding of intramuscular EMG signals via estimation of a Markov model publication-title: IEEE Trans. Neural Syst. Rehab. Eng. – volume: 60 start-page: 3418 year: 2013 end-page: 3424 ident: bib34 article-title: Time series modeling of nano-gold immunochromatographic assay via expectation maximization algorithm publication-title: IEEE Trans. Biomed. Eng. – volume: 57 start-page: 2644 year: 2012 end-page: 2650 ident: bib43 article-title: Sampled-data synchronization control of complex dynamical networks with stochastic sampling publication-title: IEEE Trans. Autom. Control – volume: 3 start-page: 253 year: 1982 end-page: 264 ident: bib32 article-title: An approach to time series smoothing and forecasting using the EM algorithm publication-title: J. Time Ser. Anal. – volume: 5 start-page: 252 year: 1975 end-page: 259 ident: bib14 article-title: Functional separation of EMG signals via ARMA identification methods for prosthesis control purposes publication-title: IEEE Trans. Syst. Man Cybern. – volume: 2 start-page: 368 year: 2014 end-page: 378 ident: bib48 article-title: Economic production quantity models for imperfect items with pollution costs publication-title: Syst. Sci. Control Eng.: Open Access J. – volume: 21 start-page: 127 year: 2006 end-page: 141 ident: bib31 article-title: The development of a virtual myoelectric prosthesis controlled by an EMG pattern recognition system based on neural networks publication-title: J. Intell. Inf. Syst. – volume: 2 start-page: 80 year: 2014 end-page: 89 ident: bib41 article-title: Stability analysis for a class of switched nonlinear time-delay systems publication-title: Syst. Sci. Control Eng.: Open Access J. – reference: A.D.C. Chan, G.C. Green, Myoelectric control development toolbox, in: Proceedings of the 30th Conference of the Canadian Medical & Biological Engineering Society, Toronto, CA, USA, 2007. – volume: 21 start-page: 113 year: 2003 end-page: 126 ident: bib2 article-title: EMG-based motion discrimination using a novel recurrent neural network publication-title: J. Intell. Inf. Syst. – reference: C. Castellini, P. van der Smagt, G. Sandini, G. Hirzinger, Surface EMG for force control of mechanical hands, in: Proceedings of the IEEE International Conference on Robotics and Automation, Pasadena, CA, USA, pp. 725–730, 2008. – volume: 18 start-page: 257 year: 2014 end-page: 265 ident: bib25 article-title: Dynamical characteristics of surface EMG signals of hand grasps via recurrence plot publication-title: IEEE J. Biomed. Health Inform. – volume: 58 start-page: 1952 year: 2011 end-page: 1960 ident: bib21 article-title: A neuro-fuzzy inference system for sEMG-based identification of hand motion commands publication-title: IEEE Trans. Ind. Electron. – reference: D. Ding, Z. Wang, J. Lam, B. Shen, Finite-horizon H – volume: 4 year: 2013 ident: bib28 article-title: Modeling throughput of emergency departments via time series publication-title: ACM Trans. Manag. Inf. Syst. – volume: 2 start-page: 121 year: 1998 end-page: 167 ident: bib3 article-title: A tutorial on support vector machines for pattern recognition publication-title: Data Min. Knowl. Discov. – volume: 56 start-page: 4069 year: 2008 end-page: 4081 ident: bib7 article-title: A hidden Markov, multivariate autoregressive (HMM-mAR) network framework for analysis of surface EMG data publication-title: IEEE Trans. Biomed. Eng. – reference: T. Kitamura, N. Tsujiuchi, T. Koizumi, Hand motion estimation by EMG signals using linear multiple regression models, in: Proceedings of the 28th IEEE In Engineering in Medicine and Biology Society Annual International Conference, New York, USA, 2008, pp. 1339–1342. – volume: 57 start-page: 1431 year: 2012 end-page: 1444 ident: bib42 article-title: Quantized publication-title: IEEE Trans. Autom. Control – volume: 15 start-page: 266 year: 2007 end-page: 272 ident: bib6 article-title: Characterization of surface EMG signal based on fuzzy entropy publication-title: IEEE Trans. Neural Syst. Rehab. Eng. – volume: 54 start-page: 1191 year: 2007 end-page: 1198 ident: bib20 article-title: An expectation-maximization algorithm based Kalman smoother approach for event-related desynchronization (ERD) estimation from EEG publication-title: IEEE Trans. Biomed. Eng. – volume: 8 start-page: 11 year: 2006 end-page: 35 ident: bib27 article-title: Techniques of EMG signal analysis publication-title: Biol. Proced. Online – volume: 29 start-page: 149 year: 2012 end-page: 152 ident: bib16 article-title: Myoelectric control of artificial limbs. Is there a need to change focus? publication-title: IEEE Signal Process. Mag. – volume: 4 start-page: 189 year: 2014 end-page: 194 ident: bib18 article-title: Machine learning algorithms for characterization of EMG signals publication-title: Int. J. Inf. Electron. Eng. – volume: 86 start-page: 59 year: 2012 end-page: 74 ident: bib15 article-title: Nonlinear time series modeling and prediction using functional weights wavelet neural network-based state-dependent AR model publication-title: Neurocomputing – volume: 11 start-page: 321 year: 2012 end-page: 327 ident: bib37 article-title: Time series modeling of nano-gold immunochromatographic assay via expectation maximization algorithm publication-title: IEEE Trans. Nanotechnol. – reference: J. Hu, Z. Wang, H. Dong, H. Gao, Recent advances on recursive filtering and sliding mode design for networked nonlinear stochastic systems: a survey, Math. Probl. Eng., vol. 2013, 12 pp. (Article ID 646059). – reference: L. Rabiner, A tutorial on hidden Markov models and selected applications in speech recognition, Proc. IEEE 77(2) (1989) 257–286. – volume: 61 start-page: 1230 year: 2013 end-page: 1238 ident: bib49 article-title: Gain-constrained recursive filtering with stochastic nonlinearities and probabilistic sensor delays publication-title: IEEE Trans. Signal Process. – volume: 142 start-page: 408 year: 2014 end-page: 418 ident: bib30 article-title: cDNA microarray adaptive segmentation publication-title: Neurocomputing – volume: 58 start-page: 2178 year: 2011 end-page: 2185 ident: bib9 article-title: A model of the surface electromyogram in pathological tremor publication-title: IEEE Trans. Biomed. Eng. – volume: 3 start-page: 39 year: 2015 end-page: 61 ident: bib36 article-title: Estimation of tire-road friction coefficient and its application in chassis control systems publication-title: Syst. Sci. Control Eng.: Open Access J. – volume: 7 start-page: 44 year: 2008 end-page: 55 ident: bib29 article-title: Stochastic dynamic modeling of short gene expression time series data publication-title: IEEE Trans. Nanobiosci. – year: 2008 ident: bib23 article-title: An Introduction to the Theory of Functional Equations and Inequalities: Cauchy׳s Equation and Jensen׳s Inequality – reference: . – volume: 3 start-page: 81 year: 2015 end-page: 98 ident: bib44 article-title: Analytic and linear prognostic model for a vehicle suspension system subject to fatigue publication-title: Syst. Sci. Control Eng.: Open Access J. – volume: 55 start-page: 37 year: 2015 end-page: 45 ident: bib38 article-title: Envelope-constrained H publication-title: Automatica – volume: 43 start-page: 387 year: 2014 end-page: 401 ident: bib40 article-title: State estimation for a class of discrete nonlinear systems with randomly occurring uncertainties and distributed sensor delays publication-title: Int. J. Gen. Syst. – volume: 44 start-page: 155 year: 2015 end-page: 168 ident: bib45 article-title: Reliable publication-title: Int. J. Gen. Syst. – volume: 13 start-page: 3302 year: 2013 end-page: 3311 ident: bib17 article-title: Surface EMG based hand manipulation identification via nonlinear feature extraction and classification publication-title: IEEE Sens. J. – ident: 10.1016/j.neucom.2015.05.058_bib26 doi: 10.1109/5.18626 – volume: 54 start-page: 3414 issue: 9 year: 2006 ident: 10.1016/j.neucom.2015.05.058_bib19 article-title: Statistical analysis for multiplicatively modulated nonlinear autoregressive model and its applications to electrophysiological signal analysis in humans publication-title: IEEE Trans. Biomed. Eng. – volume: 60 start-page: 3418 issue: 12 year: 2013 ident: 10.1016/j.neucom.2015.05.058_bib34 article-title: Time series modeling of nano-gold immunochromatographic assay via expectation maximization algorithm publication-title: IEEE Trans. Biomed. Eng. doi: 10.1109/TBME.2013.2260160 – volume: 3 start-page: 39 issue: 1 year: 2015 ident: 10.1016/j.neucom.2015.05.058_bib36 article-title: Estimation of tire-road friction coefficient and its application in chassis control systems publication-title: Syst. Sci. Control Eng.: Open Access J. doi: 10.1080/21642583.2014.985804 – volume: 55 start-page: 37 year: 2015 ident: 10.1016/j.neucom.2015.05.058_bib38 article-title: Envelope-constrained H∞ filtering with fading measurements and randomly occurring nonlinearities publication-title: Automatica doi: 10.1016/j.automatica.2015.02.024 – volume: 58 start-page: 2178 issue: 8 year: 2011 ident: 10.1016/j.neucom.2015.05.058_bib9 article-title: A model of the surface electromyogram in pathological tremor publication-title: IEEE Trans. Biomed. Eng. doi: 10.1109/TBME.2011.2118756 – ident: 10.1016/j.neucom.2015.05.058_bib50 doi: 10.1155/2013/646059 – ident: 10.1016/j.neucom.2015.05.058_bib39 – volume: 3 start-page: 81 issue: 1 year: 2015 ident: 10.1016/j.neucom.2015.05.058_bib44 article-title: Analytic and linear prognostic model for a vehicle suspension system subject to fatigue publication-title: Syst. Sci. Control Eng.: Open Access J. doi: 10.1080/21642583.2014.987359 – volume: 56 start-page: 4069 issue: 8 year: 2008 ident: 10.1016/j.neucom.2015.05.058_bib7 article-title: A hidden Markov, multivariate autoregressive (HMM-mAR) network framework for analysis of surface EMG data publication-title: IEEE Trans. Biomed. Eng. – volume: 29 start-page: 149 issue: 5 year: 2012 ident: 10.1016/j.neucom.2015.05.058_bib16 article-title: Myoelectric control of artificial limbs. Is there a need to change focus? publication-title: IEEE Signal Process. Mag. – volume: 86 start-page: 59 issue: 1–2 year: 2012 ident: 10.1016/j.neucom.2015.05.058_bib15 article-title: Nonlinear time series modeling and prediction using functional weights wavelet neural network-based state-dependent AR model publication-title: Neurocomputing doi: 10.1016/j.neucom.2012.01.010 – volume: 57 start-page: 1431 issue: 6 year: 2012 ident: 10.1016/j.neucom.2015.05.058_bib42 article-title: Quantized H∞ control for nonlinear stochastic time-delay systems with missing measurements publication-title: IEEE Trans. Autom. Control doi: 10.1109/TAC.2011.2176362 – volume: 11 start-page: 321 issue: 2 year: 2012 ident: 10.1016/j.neucom.2015.05.058_bib37 article-title: Time series modeling of nano-gold immunochromatographic assay via expectation maximization algorithm publication-title: IEEE Trans. Nanotechnol. doi: 10.1109/TNANO.2011.2171193 – ident: 10.1016/j.neucom.2015.05.058_bib5 – volume: 2 start-page: 368 issue: 1 year: 2014 ident: 10.1016/j.neucom.2015.05.058_bib48 article-title: Economic production quantity models for imperfect items with pollution costs publication-title: Syst. Sci. Control Eng.: Open Access J. doi: 10.1080/21642583.2014.912571 – volume: 59 start-page: 2354 issue: 10 year: 2012 ident: 10.1016/j.neucom.2015.05.058_bib12 article-title: Fault detection for Markovian jump systems with sensor saturations and randomly varying nonlinearities publication-title: IEEE Trans. Circuits Syst. I: Reg. Pap. doi: 10.1109/TCSI.2012.2185330 – volume: 59 start-page: 3048 issue: 7 year: 2011 ident: 10.1016/j.neucom.2015.05.058_bib10 article-title: Robust H∞ filtering for Markovian jump systems with randomly occurring nonlinearities and sensor saturation publication-title: IEEE Trans. Signal Process. doi: 10.1109/TSP.2011.2135854 – volume: 58 start-page: 2911 issue: 10 year: 2011 ident: 10.1016/j.neucom.2015.05.058_bib8 article-title: EMG-based characterization of pathological tremor using the iterated Hilbert transform publication-title: IEEE Trans. Biomed. Eng. doi: 10.1109/TBME.2011.2163069 – volume: 2 start-page: 61 issue: 1 year: 2014 ident: 10.1016/j.neucom.2015.05.058_bib46 article-title: Analysis of a delayed hand-foot-mouth disease epidemic model with pulse vaccination publication-title: Syst. Sci. Control Eng.: Open Access J. doi: 10.1080/21642583.2014.880827 – volume: 61 start-page: 1230 issue: 5 year: 2013 ident: 10.1016/j.neucom.2015.05.058_bib49 article-title: Gain-constrained recursive filtering with stochastic nonlinearities and probabilistic sensor delays publication-title: IEEE Trans. Signal Process. doi: 10.1109/TSP.2012.2232660 – volume: 13 start-page: 3302 issue: 9 year: 2013 ident: 10.1016/j.neucom.2015.05.058_bib17 article-title: Surface EMG based hand manipulation identification via nonlinear feature extraction and classification publication-title: IEEE Sens. J. doi: 10.1109/JSEN.2013.2259051 – ident: 10.1016/j.neucom.2015.05.058_bib4 doi: 10.1109/ROBOT.2008.4543291 – volume: 22 start-page: 1030 issue: 5 year: 2014 ident: 10.1016/j.neucom.2015.05.058_bib24 article-title: Sequential decoding of intramuscular EMG signals via estimation of a Markov model publication-title: IEEE Trans. Neural Syst. Rehab. Eng. doi: 10.1109/TNSRE.2014.2316547 – volume: 14 start-page: 198 issue: 2 year: 2010 ident: 10.1016/j.neucom.2015.05.058_bib13 article-title: A body sensor network with electromyogram and inertial sensors publication-title: IEEE Trans. Inf. Technol. Biomed. doi: 10.1109/TITB.2009.2035050 – volume: 18 start-page: 257 issue: 1 year: 2014 ident: 10.1016/j.neucom.2015.05.058_bib25 article-title: Dynamical characteristics of surface EMG signals of hand grasps via recurrence plot publication-title: IEEE J. Biomed. Health Inform. doi: 10.1109/JBHI.2013.2261311 – volume: 21 start-page: 127 issue: 2 year: 2006 ident: 10.1016/j.neucom.2015.05.058_bib31 article-title: The development of a virtual myoelectric prosthesis controlled by an EMG pattern recognition system based on neural networks publication-title: J. Intell. Inf. Syst. doi: 10.1023/A:1024758415877 – volume: 4 issue: 16 year: 2013 ident: 10.1016/j.neucom.2015.05.058_bib28 article-title: Modeling throughput of emergency departments via time series publication-title: ACM Trans. Manag. Inf. Syst. – ident: 10.1016/j.neucom.2015.05.058_bib22 doi: 10.1109/IEMBS.2006.259329 – volume: 43 start-page: 387 issue: 3–4 year: 2014 ident: 10.1016/j.neucom.2015.05.058_bib40 article-title: State estimation for a class of discrete nonlinear systems with randomly occurring uncertainties and distributed sensor delays publication-title: Int. J. Gen. Syst. doi: 10.1080/03081079.2014.892251 – volume: 7 start-page: 44 issue: 1 year: 2008 ident: 10.1016/j.neucom.2015.05.058_bib29 article-title: Stochastic dynamic modeling of short gene expression time series data publication-title: IEEE Trans. Nanobiosci. doi: 10.1109/TNB.2008.2000149 – volume: 5 start-page: 252 issue: 2 year: 1975 ident: 10.1016/j.neucom.2015.05.058_bib14 article-title: Functional separation of EMG signals via ARMA identification methods for prosthesis control purposes publication-title: IEEE Trans. Syst. Man Cybern. doi: 10.1109/TSMC.1975.5408479 – volume: 142 start-page: 408 year: 2014 ident: 10.1016/j.neucom.2015.05.058_bib30 article-title: cDNA microarray adaptive segmentation publication-title: Neurocomputing doi: 10.1016/j.neucom.2014.03.052 – year: 1995 ident: 10.1016/j.neucom.2015.05.058_bib33 – volume: 15 start-page: 266 issue: 2 year: 2007 ident: 10.1016/j.neucom.2015.05.058_bib6 article-title: Characterization of surface EMG signal based on fuzzy entropy publication-title: IEEE Trans. Neural Syst. Rehab. Eng. doi: 10.1109/TNSRE.2007.897025 – volume: 3 start-page: 253 issue: 4 year: 1982 ident: 10.1016/j.neucom.2015.05.058_bib32 article-title: An approach to time series smoothing and forecasting using the EM algorithm publication-title: J. Time Ser. Anal. doi: 10.1111/j.1467-9892.1982.tb00349.x – volume: 50 start-page: 3182 issue: 12 year: 2014 ident: 10.1016/j.neucom.2015.05.058_bib47 article-title: Finite-horizon estimation of randomly occurring faults for a class of nonlinear time-varying systems publication-title: Automatica doi: 10.1016/j.automatica.2014.10.026 – volume: 21 start-page: 113 issue: 2 year: 2003 ident: 10.1016/j.neucom.2015.05.058_bib2 article-title: EMG-based motion discrimination using a novel recurrent neural network publication-title: J. Intell. Inf. Syst. doi: 10.1023/A:1024706431807 – volume: 2 start-page: 121 issue: 2 year: 1998 ident: 10.1016/j.neucom.2015.05.058_bib3 article-title: A tutorial on support vector machines for pattern recognition publication-title: Data Min. Knowl. Discov. doi: 10.1023/A:1009715923555 – volume: 4 start-page: 189 issue: 3 year: 2014 ident: 10.1016/j.neucom.2015.05.058_bib18 article-title: Machine learning algorithms for characterization of EMG signals publication-title: Int. J. Inf. Electron. Eng. – volume: 44 start-page: 155 issue: 2 year: 2015 ident: 10.1016/j.neucom.2015.05.058_bib45 article-title: Reliable H∞ state estimation for 2-D discrete systems with infinite distributed delays and incomplete observations publication-title: Int. J. Gen. Syst. doi: 10.1080/03081079.2014.973729 – year: 2009 ident: 10.1016/j.neucom.2015.05.058_bib1 – volume: 60 start-page: 4665 issue: 10 year: 2013 ident: 10.1016/j.neucom.2015.05.058_bib11 article-title: Distributed H∞ filtering for a class of Markovian jump nonlinear time-delay systems over lossy sensor networks publication-title: IEEE Trans. Ind. Electron. doi: 10.1109/TIE.2012.2213553 – volume: 54 start-page: 1191 issue: 7 year: 2007 ident: 10.1016/j.neucom.2015.05.058_bib20 article-title: An expectation-maximization algorithm based Kalman smoother approach for event-related desynchronization (ERD) estimation from EEG publication-title: IEEE Trans. Biomed. Eng. doi: 10.1109/TBME.2007.894827 – year: 2008 ident: 10.1016/j.neucom.2015.05.058_bib23 – volume: 58 start-page: 1952 issue: 5 year: 2011 ident: 10.1016/j.neucom.2015.05.058_bib21 article-title: A neuro-fuzzy inference system for sEMG-based identification of hand motion commands publication-title: IEEE Trans. Ind. Electron. doi: 10.1109/TIE.2010.2053334 – volume: 2 start-page: 80 issue: 1 year: 2014 ident: 10.1016/j.neucom.2015.05.058_bib41 article-title: Stability analysis for a class of switched nonlinear time-delay systems publication-title: Syst. Sci. Control Eng.: Open Access J. doi: 10.1080/21642583.2013.879543 – volume: 21 start-page: 692 issue: 6 year: 2014 ident: 10.1016/j.neucom.2015.05.058_bib35 article-title: Time-varying multicomponent signal modeling for analysis of surface EMG data publication-title: IEEE Signal Process. Lett. doi: 10.1109/LSP.2014.2313880 – volume: 57 start-page: 2644 issue: 10 year: 2012 ident: 10.1016/j.neucom.2015.05.058_bib43 article-title: Sampled-data synchronization control of complex dynamical networks with stochastic sampling publication-title: IEEE Trans. Autom. Control doi: 10.1109/TAC.2012.2190179 – volume: 8 start-page: 11 issue: 1 year: 2006 ident: 10.1016/j.neucom.2015.05.058_bib27 article-title: Techniques of EMG signal analysis publication-title: Biol. Proced. Online doi: 10.1251/bpo115 |
| SSID | ssj0017129 |
| Score | 2.1653097 |
| Snippet | In this paper, we focus on the method of employing the expectation maximization (EM) algorithm to the modeling of surface electromyography (sEMG) signals based... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 661 |
| SubjectTerms | Expectation maximization algorithm Hidden Markov model Surface electromyography recognition Time series data |
| Title | Time series modeling of surface EMG based hand manipulation identification via expectation maximization algorithm |
| URI | https://dx.doi.org/10.1016/j.neucom.2015.05.058 |
| Volume | 168 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LS8NAEF5KvXjxLdZH2YPX2HSzm8exlNaqtBct9BY22V2NtGntQzz5251JNqIgCkIIbNiBMDuZbzY78w0hl54HQQbEyY4QKnK4SDwnCfGG7HeA98pnWI08HPmDMb-diEmNdKtaGEyrtL6_9OmFt7ZPWlabrUWWte7diMEuCtkRiuMm3LdzHqCVX71_pnm0gzYr-faYcHB2VT5X5HjleoM5IwCCouDvxMbvP8HTF8jp75EdGyvSTvk6-6Sm8wOyW_VhoPazPCQvWMdB0Zb0ihatbQCP6NzQ1WZpZKppb3hNEa4Uxf_kFCkvqrZdNFM2X6gcvmaSIut_Wh7Rw9y3bGZrNamcPs6X2fppdkTG_d5Dd-DYVgpOyhlbO1xr1zUJRCPKwA7McJYaqbmK_DSBDVjkg8tOfW38QLq-YlwZWCpPe64SiW-E9I5JPZ_n-oTQSKWhUQD7YehxJiGe0SAhkxBPcIWRDeJVGoxTyzOO7S6mcZVQ9hyXeo9R77GLV9ggzqfUouTZ-GN-UC1O_M1eYoCCXyVP_y15RrZxVBI_npP6ernRFxCSrJNmYXNNstW5uRuMPgC5IuMK |
| linkProvider | Elsevier |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1LT9tAEB6lcGgvUFpQU1rYQ3t0Y9a7jn3ggCAhaR6XBombu_buUiNIaOLwuPRP8QeZsdeolSoqVUKyLNnesdazo3l4Z74B-BQE6GSgn-xJqWNPyDTw0ohOhH6H9l6HnKqRR-OwdyK-nsrTBtzXtTCUVul0f6XTS23t7rQcN1tXed765sccoyhCRyi3m3yXWTkwdzcYty32-0e4yJ8573Ymhz3PtRbwMsF54QljfN-maJ21xYjECp5ZZYSOwyzFgCQOUYVlobFhW_mh5kJbnHpgAl_LNLRSBfjeF7AqUF1Q24Qvvx7zSvbae7wC-OPSo-nV9XplUtnULClJBa2uLAFDqdP83-zhbzau-xrWnHPKDqrv34CGmb6B9brxA3N64C38pMIRRsJrFqzspYMGkM0sWyznVmWGdUbHjOyjZvRjnhHGRt0njOXaJShVl9e5YtRmIKtyAnDsbX7pikOZujibzfPix-UmnDwLg7dgZTqbmnfAYp1FVqOfEUWB4AodKIMUKo1oy1ha1YSg5mCSOWBz6q9xkdQZbOdJxfeE-J74dERN8B6pripgj3-Mb9eLk_whoAnanicp3_835S687E1Gw2TYHw-24RU9qVAnP8BKMV-aj-gPFelOKX8Mvj-3wD8AgnQf7Q |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Time+series+modeling+of+surface+EMG+based+hand+manipulation+identification+via+expectation+maximization+algorithm&rft.jtitle=Neurocomputing+%28Amsterdam%29&rft.au=Lu%2C+Yang&rft.au=Ju%2C+Zhaojie&rft.au=Liu%2C+Yurong&rft.au=Shen%2C+Yuxuan&rft.date=2015-11-30&rft.issn=0925-2312&rft.volume=168&rft.spage=661&rft.epage=668&rft_id=info:doi/10.1016%2Fj.neucom.2015.05.058&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_neucom_2015_05_058 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0925-2312&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0925-2312&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0925-2312&client=summon |