Detection of hidden rhythms in surface EMG signals with a non-linear time-series tool

scientific article published in July 1999

Detection of hidden rhythms in surface EMG signals with a non-linear time-series tool is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1016/S1350-4533(99)00073-9
P698PubMed publication ID10624740
P5875ResearchGate publication ID12689033

P50authorFrancesco FeliciQ43281775
P2093author name stringFilligoi G
P2860cites workDynamical assessment of physiological systems and states using recurrence plot strategiesQ34340625
Interpretation of EMG spectral alterations and alteration indexes at sustained contractionQ35536138
Some theoretic results on a digital EMG signal processorQ39352461
Chaos and physiology: deterministic chaos in excitable cell assembliesQ40808536
Influence of isometric loading on biceps EMG dynamics as assessed by linear and nonlinear toolsQ48540274
Multiple site electromyograph amplitude estimation.Q52351152
Advances in processing of surface myoelectric signals: Part 1.Q64921266
Comparison of different estimators of electromyographic spectral shifts during work when applied on short test contractionsQ67890209
The clinical use of multichannel surface electromyographyQ68264259
Myoelectric manifestations of fatigue in voluntary and electrically elicited contractionsQ68651233
Electromyogram power spectra frequencies associated with motor unit recruitment strategiesQ68788569
Motor unit power spectrum and firing rateQ69726872
Conduction velocity and EMG power spectrum changes in fatigue of sustained maximal effortsQ70975547
Advances in processing of surface myoelectric signals: Part 2Q72039291
Surface EMG modifications after eccentric exerciseQ84762224
P433issue6-7
P304page(s)439-448
P577publication date1999-07-01
P1433published inMedical Engineering and PhysicsQ15749231
P1476titleDetection of hidden rhythms in surface EMG signals with a non-linear time-series tool
P478volume21

Reverse relations

cites work (P2860)
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Q44624466Desynchronisation of spontaneously recurrent experimental seizures proceeds with a single rhythm.
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Q56648784Evaluation of muscle fatigue of wheelchair basketball players with spinal cord injury using recurrence quantification analysis of surface EMG
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Q30449049Non-Linear EMG Parameters for Differential and Early Diagnostics of Parkinson's Disease
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Q35915298Pathological tremor prediction using surface electromyogram and acceleration: potential use in 'ON-OFF' demand driven deep brain stimulator design
Q39675997Prediction of Muscle Fatigue during Minimally Invasive Surgery Using Recurrence Quantification Analysis
Q48391630Recurrence quantification analysis of surface EMG detects changes in motor unit synchronization induced by recurrent inhibition
Q48271860Recurrence quantification analysis of surface electromyogram supports alterations in motor unit recruitment strategies by anodal transcranial direct current stimulation
Q39692596Reducing power line interference in digitised electromyogram recordings by spectrum interpolation
Q75194988Surface electromyography and mechanomyography recording: a new differential composite probe
Q30480504The effect of accelerometer location on the classification of single-site forearm mechanomyograms.
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Q51956486Vector quantization as a method for integer EMG signal compression.

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