These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
180 related articles for article (PubMed ID: 1297013)
81. Electromyography interference pattern decomposition. Joynt RL; Erlandson RF; Wu SJ; Wang CM Arch Phys Med Rehabil; 1991 Jul; 72(8):567-72. PubMed ID: 2059134 [TBL] [Abstract][Full Text] [Related]
82. Three-Dimensional Innervation Zone Imaging from Multi-Channel Surface EMG Recordings. Liu Y; Ning Y; Li S; Zhou P; Rymer WZ; Zhang Y Int J Neural Syst; 2015 Sep; 25(6):1550024. PubMed ID: 26160432 [TBL] [Abstract][Full Text] [Related]
83. Properties of motor unit action potentials recorded with concentric and monopolar needle electrodes: ADEMG analysis. Howard JE; McGill KC; Dorfman LJ Muscle Nerve; 1988 Oct; 11(10):1051-5. PubMed ID: 3185599 [TBL] [Abstract][Full Text] [Related]
84. Assessment of validity of a high-yield surface electromyogram decomposition. Hu X; Rymer WZ; Suresh NL J Neuroeng Rehabil; 2013 Sep; 10():99. PubMed ID: 24059856 [TBL] [Abstract][Full Text] [Related]
85. Error reduction in EMG signal decomposition. Kline JC; De Luca CJ J Neurophysiol; 2014 Dec; 112(11):2718-28. PubMed ID: 25210159 [TBL] [Abstract][Full Text] [Related]
92. 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]
93. 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]
94. DCT domain feature extraction scheme based on motor unit action potential of EMG signal for neuromuscular disease classification. Doulah AB; Fattah SA; Zhu WP; Ahmad MO Healthc Technol Lett; 2014 Jan; 1(1):26-31. PubMed ID: 26609372 [TBL] [Abstract][Full Text] [Related]
95. Intramuscular EMG signal decomposition. Parsaei H; Stashuk DW; Rasheed S; Farkas C; Hamilton-Wright A Crit Rev Biomed Eng; 2010; 38(5):435-65. PubMed ID: 21175408 [TBL] [Abstract][Full Text] [Related]
96. Influence of the motor unit action potential morphology (MUAP) on the EMG signal: theoretical and experimental study. Figini MM; Fabbro M; Barbieri S; Valli G Int J Biomed Comput; 1981 Nov; 12(6):471-82. PubMed ID: 6274808 [TBL] [Abstract][Full Text] [Related]
97. On-Line Recursive Decomposition of Intramuscular EMG Signals Using GPU-Implemented Bayesian Filtering. Yu T; Akhmadeev K; Le Carpentier E; Aoustin Y; Farina D IEEE Trans Biomed Eng; 2020 Jun; 67(6):1806-1818. PubMed ID: 31825856 [TBL] [Abstract][Full Text] [Related]
98. High-density surface EMG decomposition based on a convolutive blind source separation approach. Zhu X; Zhang Y Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():609-12. PubMed ID: 23365966 [TBL] [Abstract][Full Text] [Related]
99. Decomposition of intramuscular EMG signals using a knowledge -based certainty classifier algorithm. Parsaei H; Stashuk DW; Adel TM Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():6208-11. PubMed ID: 23367347 [TBL] [Abstract][Full Text] [Related]
100. Augmenting the decomposition of EMG signals using supervised feature extraction techniques. Parsaei H; Gangeh MJ; Stashuk DW; Kamel MS Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():2615-8. PubMed ID: 23366461 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]