114 related articles for article (PubMed ID: 29060640)
1. Simulations of high-density surface electromyograms in dynamic muscle contractions.
Glaser V; Farina D; Holobar A
Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():3453-3456. PubMed ID: 29060640
[TBL] [Abstract][Full Text] [Related]
2. Motor Unit Identification From High-Density Surface Electromyograms in Repeated Dynamic Muscle Contractions.
Glaser V; Holobar A
IEEE Trans Neural Syst Rehabil Eng; 2019 Jan; 27(1):66-75. PubMed ID: 30571641
[TBL] [Abstract][Full Text] [Related]
3. On the impact of spike segmentation on motor unit identification in dynamic surface electromyograms.
Glaser V; Holobar A
Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():430-433. PubMed ID: 29059902
[TBL] [Abstract][Full Text] [Related]
4. Motor unit filter prelearning strategies for decomposition of compound muscle action potentials in high-density surface electromyograms.
Holobar A; Francic A
Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():3465-3468. PubMed ID: 33018749
[TBL] [Abstract][Full Text] [Related]
5. On the Impact of Muscle Shortening on Non-Negative Matrix Factorization of Dynamic Surface Electromyograms.
Savc M; Glaser V; Holobar A
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():5970-5973. PubMed ID: 30441696
[TBL] [Abstract][Full Text] [Related]
6. Estimation of Muscle Co-Activations in Wrist Rehabilitation After Stroke is Sensitive to Motor Unit Distribution and Action Potential Shapes.
Potocnik B; Divjak M; Urh F; Francic A; Kranjec J; Savc M; Cikajlo I; Matjacic Z; Zadravec M; Holobar A
IEEE Trans Neural Syst Rehabil Eng; 2020 May; 28(5):1208-1215. PubMed ID: 32203023
[TBL] [Abstract][Full Text] [Related]
7. Real-time motor unit identification from high-density surface EMG.
Glaser V; Holobar A; Zazula D
IEEE Trans Neural Syst Rehabil Eng; 2013 Nov; 21(6):949-58. PubMed ID: 23475379
[TBL] [Abstract][Full Text] [Related]
8. Estimating motor unit discharge patterns from high-density surface electromyogram.
Holobar A; Farina D; Gazzoni M; Merletti R; Zazula D
Clin Neurophysiol; 2009 Mar; 120(3):551-62. PubMed ID: 19208498
[TBL] [Abstract][Full Text] [Related]
9. A simulation study on the relation between the motor unit depth and action potential from multi-channel surface electromyography recordings.
He J; Luo Z
J Clin Neurosci; 2018 Aug; 54():146-151. PubMed ID: 29805080
[TBL] [Abstract][Full Text] [Related]
10. Firing rates of motor units during strong dynamic contractions.
Del Valle A; Thomas CK
Muscle Nerve; 2005 Sep; 32(3):316-25. PubMed ID: 15973658
[TBL] [Abstract][Full Text] [Related]
11. Automated way to obtain motor units' signatures and estimate their firing patterns during voluntary contractions using HD-sEMG.
Gligorijević I; De Vos M; Blok JH; Mijović B; van Dijk JP; Van Huffel S
Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():4090-3. PubMed ID: 22255239
[TBL] [Abstract][Full Text] [Related]
12. Improved Assessment of Muscle Excitation From Surface Electromyograms in Isometric Muscle Contractions.
Kranjec J; Holobar A
IEEE Trans Neural Syst Rehabil Eng; 2019 Jul; 27(7):1483-1491. PubMed ID: 31199261
[TBL] [Abstract][Full Text] [Related]
13. Progressive FastICA Peel-Off and Convolution Kernel Compensation Demonstrate High Agreement for High Density Surface EMG Decomposition.
Chen M; Holobar A; Zhang X; Zhou P
Neural Plast; 2016; 2016():3489540. PubMed ID: 27642525
[TBL] [Abstract][Full Text] [Related]
14. Correlation-based decomposition of surface electromyograms at low contraction forces.
Holobar A; Zazula D
Med Biol Eng Comput; 2004 Jul; 42(4):487-95. PubMed ID: 15320457
[TBL] [Abstract][Full Text] [Related]
15. Accurate identification of motor unit discharge patterns from high-density surface EMG and validation with a novel signal-based performance metric.
Holobar A; Minetto MA; Farina D
J Neural Eng; 2014 Feb; 11(1):016008. PubMed ID: 24654270
[TBL] [Abstract][Full Text] [Related]
16. Topographical characteristics of motor units of the lower facial musculature revealed by means of high-density surface EMG.
Lapatki BG; Oostenveld R; Van Dijk JP; Jonas IE; Zwarts MJ; Stegeman DF
J Neurophysiol; 2006 Jan; 95(1):342-54. PubMed ID: 16000526
[TBL] [Abstract][Full Text] [Related]
17. Motor unit properties of biceps brachii during dynamic contractions in chronic stroke patients.
Kallenberg LA; Hermens HJ
Muscle Nerve; 2011 Jan; 43(1):112-9. PubMed ID: 20928907
[TBL] [Abstract][Full Text] [Related]
18. Simulation of concentric needle EMG motor unit action potentials.
Nandedkar SD; Sanders DB; Stålberg EV; Andreassen S
Muscle Nerve; 1988 Feb; 11(2):151-9. PubMed ID: 3343991
[TBL] [Abstract][Full Text] [Related]
19. A new method for the extraction and classification of single motor unit action potentials from surface EMG signals.
Gazzoni M; Farina D; Merletti R
J Neurosci Methods; 2004 Jul; 136(2):165-77. PubMed ID: 15183268
[TBL] [Abstract][Full Text] [Related]
20. Single channel surface electromyogram deconvolution to explore motor unit discharges.
Mesin L
Med Biol Eng Comput; 2019 Sep; 57(9):2045-2054. PubMed ID: 31350669
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]