151 related articles for article (PubMed ID: 35327182)
1. A Preliminary Study on the Use of HD-sEMG for the Functional Imaging of Equine Superficial Muscle Activation during Dynamic Mobilization Exercises.
Gamucci F; Pallante M; Molle S; Merlo E; Bertuglia A
Animals (Basel); 2022 Mar; 12(6):. PubMed ID: 35327182
[TBL] [Abstract][Full Text] [Related]
2. Design and Characterization of a Textile Electrode System for the Detection of High-Density sEMG.
Cerone GL; Botter A; Vieira T; Gazzoni M
IEEE Trans Neural Syst Rehabil Eng; 2021; 29():1110-1119. PubMed ID: 34097613
[TBL] [Abstract][Full Text] [Related]
3. High-density surface EMG maps from upper-arm and forearm muscles.
Rojas-Martínez M; Mañanas MA; Alonso JF
J Neuroeng Rehabil; 2012 Dec; 9():85. PubMed ID: 23216679
[TBL] [Abstract][Full Text] [Related]
4. High-density surface electromyography: A visualization method of laryngeal muscle activity.
Bracken DJ; Ornelas G; Coleman TP; Weissbrod PA
Laryngoscope; 2019 Oct; 129(10):2347-2353. PubMed ID: 30663053
[TBL] [Abstract][Full Text] [Related]
5. Clinical applications of high-density surface EMG: a systematic review.
Drost G; Stegeman DF; van Engelen BG; Zwarts MJ
J Electromyogr Kinesiol; 2006 Dec; 16(6):586-602. PubMed ID: 17085302
[TBL] [Abstract][Full Text] [Related]
6. Quantifying forearm muscle activity during wrist and finger movements by means of multi-channel electromyography.
Gazzoni M; Celadon N; Mastrapasqua D; Paleari M; Margaria V; Ariano P
PLoS One; 2014; 9(10):e109943. PubMed ID: 25289669
[TBL] [Abstract][Full Text] [Related]
7. HD-sEMG-based research on activation heterogeneity of skeletal muscles and the joint force estimation during elbow flexion.
Zhang C; Chen X; Cao S; Zhang X; Chen X
J Neural Eng; 2018 Oct; 15(5):056027. PubMed ID: 30010094
[TBL] [Abstract][Full Text] [Related]
8. Elbow-flexion force estimation during arm posture dynamically changing between pronation and supination.
Hu R; Chen X; Huang C; Cao S; Zhang X; Chen X
J Neural Eng; 2019 Oct; 16(6):066005. PubMed ID: 31261136
[TBL] [Abstract][Full Text] [Related]
9. A Novel HD-sEMG Preprocessing Method Integrating Muscle Activation Heterogeneity Analysis and Kurtosis-Guided Filtering for High-Accuracy Joint Force Estimation.
Zhang C; Chen X; Cao S; Zhang X; Chen X
IEEE Trans Neural Syst Rehabil Eng; 2019 Sep; 27(9):1920-1930. PubMed ID: 31398123
[TBL] [Abstract][Full Text] [Related]
10. Frenulectomy of the tongue and the influence of rehabilitation exercises on the sEMG activity of masticatory muscles.
Tecco S; Baldini A; Mummolo S; Marchetti E; Giuca MR; Marzo G; Gherlone EF
J Electromyogr Kinesiol; 2015 Aug; 25(4):619-28. PubMed ID: 25979198
[TBL] [Abstract][Full Text] [Related]
11. Core Muscle Activation in Three Lower Extremity Exercises With Different Stability Requirements.
Saeterbakken AH; Stien N; Pedersen H; Andersen V
J Strength Cond Res; 2022 Feb; 36(2):304-309. PubMed ID: 31895283
[TBL] [Abstract][Full Text] [Related]
12. Muscle-tendon units localization and activation level analysis based on high-density surface EMG array and NMF algorithm.
Huang C; Chen X; Cao S; Zhang X
J Neural Eng; 2016 Dec; 13(6):066001. PubMed ID: 27705961
[TBL] [Abstract][Full Text] [Related]
13. Neural adaptations to resistive exercise: mechanisms and recommendations for training practices.
Gabriel DA; Kamen G; Frost G
Sports Med; 2006; 36(2):133-49. PubMed ID: 16464122
[TBL] [Abstract][Full Text] [Related]
14. Extraction of the brachialis muscle activity using HD-sEMG technique and canonical correlation analysis.
Al Harrach M; Afsharipour B; Boudaoud S; Carriou V; Marin F; Merletti R
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():2378-2381. PubMed ID: 28268803
[TBL] [Abstract][Full Text] [Related]
15. Investigation of the HD-sEMG probability density function shapes with varying muscle force using data fusion and shape descriptors.
Al Harrach M; Boudaoud S; Carriou V; Laforet J; Letocart AJ; Grosset JF; Marin F
Comput Biol Med; 2017 Oct; 89():44-58. PubMed ID: 28783537
[TBL] [Abstract][Full Text] [Related]
16. Spatial variability in cortex-muscle coherence investigated with magnetoencephalography and high-density surface electromyography.
Piitulainen H; Botter A; Bourguignon M; Jousmäki V; Hari R
J Neurophysiol; 2015 Nov; 114(5):2843-53. PubMed ID: 26354317
[TBL] [Abstract][Full Text] [Related]
17. Towards standardisation of surface electromyography measurements in the horse: Bipolar electrode location.
Smit IH; Parmentier JIM; Rovel T; van Dieen J; Serra Bragança FM
J Electromyogr Kinesiol; 2024 Jun; 76():102884. PubMed ID: 38593582
[TBL] [Abstract][Full Text] [Related]
18. Quantify work load and muscle functional activation patterns in neck-shoulder muscles of female sewing machine operators using surface electromyogram.
Zhang FR; He LH; Wu SS; Li JY; Ye KP; Wang S
Chin Med J (Engl); 2011 Nov; 124(22):3731-7. PubMed ID: 22340233
[TBL] [Abstract][Full Text] [Related]
19. Towards the Design of an Impedance-Controlled HD-sEMG Amplifier: A Feasibility Study.
Cerone GL; Gazzoni M
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():5773-5776. PubMed ID: 31947164
[TBL] [Abstract][Full Text] [Related]
20. Peak and average rectified EMG measures: which method of data reduction should be used for assessing core training exercises?
Hibbs AE; Thompson KG; French DN; Hodgson D; Spears IR
J Electromyogr Kinesiol; 2011 Feb; 21(1):102-11. PubMed ID: 20655245
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]