| scholarly article | Q13442814 |
| review article | Q7318358 |
| P50 | author | Constantinos S. Pattichis | Q45800501 |
| P2093 | author name string | Schofield I | |
| Merletti R | |||
| Middleton LT | |||
| Pattichis CS | |||
| Parker PA | |||
| P2860 | cites work | Electromyographic evaluation of muscular work pattern as a predictor of trapezius myalgia. | Q38567997 |
| Electrophysiological cross section of the motor unit | Q39235734 | ||
| Macro EMG, a new recording technique | Q39235772 | ||
| ANALYSIS OF ELECTRICAL ACTIVITY IN HEALTHY AND DYSTROPHIC MUSCLE IN MAN. | Q39422867 | ||
| Insertion activity in electromyography with notes on denervated muscle response to constant current | Q39518895 | ||
| AAEE minimonograph #29: automatic quantitative electromyography | Q39528586 | ||
| Electromyography and the study of sports movements: a review | Q40811433 | ||
| A model for diagnosing and explaining multiple disorders | Q41160306 | ||
| A new strategy for multifunction myoelectric control | Q44677278 | ||
| A quantitative and qualitative description of electromyographic linear envelopes for synergy analysis | Q45385754 | ||
| Genetics-based machine learning for the assessment of certain neuromuscular disorders. | Q45967557 | ||
| Effects of muscle fiber type and size on EMG median frequency and conduction velocity | Q47351776 | ||
| Unsupervided pattern recognition for the classification of EMG signals. | Q52179844 | ||
| NNERVE: neural network extraction of repetitive vectors for electromyography--Part I: Algorithm. | Q52213029 | ||
| Medical diagnostic systems: a case for neural networks. | Q52219180 | ||
| Automatic decomposition of selective needle-detected myoelectric signals. | Q52577618 | ||
| Classifying biosignals with wavelet networks [a method for noninvasive diagnosis] | Q57783399 | ||
| New signal processing techniques for the decomposition of EMG signals | Q59586957 | ||
| Principles of high-spatial-resolution surface EMG (HSR-EMG): single motor unit detection and application in the diagnosis of neuromuscular disorders | Q59653541 | ||
| A Modular Neural Network Decision Support System in EMG Diagnosis | Q62748048 | ||
| Neural network models in EMG diagnosis | Q62748067 | ||
| Advances in processing of surface myoelectric signals: Part 1. | Q64921266 | ||
| A surface electrode array for detecting action potential trains of single motor units | Q69382571 | ||
| Automatic decomposition of the clinical electromyogram | Q69803411 | ||
| A procedure for decomposing the myoelectric signal into its constituent action potentials--Part I: Technique, theory, and implementation | Q70371507 | ||
| A procedure for decomposing the myoelectric signal into its constituent action potentials--Part II: Execution and test for accuracy | Q70371510 | ||
| The diagnostic yield of quantified electromyography and quantified muscle biopsy in neuromuscular disorders | Q70410813 | ||
| Multi-MUP EMG analysis — a two year experience in daily clinical work | Q71864739 | ||
| Automatic classification of electromyographic signals | Q72689329 | ||
| Action potential parameters in normal human muscle and their dependence on physical variables | Q73707052 | ||
| Action potential parameters in normal human muscle and their physiological determinants | Q73707055 | ||
| The motor unit potential distribution over the skin surface and its use in estimating the motor unit location | Q74043206 | ||
| The human electromyogram in response to nerve stimulation and the conduction velocity of motor axons; studies on normal and on injured peripheral nerves | Q80290132 | ||
| P433 | issue | 6-7 | |
| P921 | main subject | data analysis | Q1988917 |
| P304 | page(s) | 379-388 | |
| P577 | publication date | 1999-07-01 | |
| P1433 | published in | Medical Engineering and Physics | Q15749231 |
| P1476 | title | Introduction to this special issue. Intelligent data analysis in electromyography and electroneurography | |
| P478 | volume | 21 |
| Q77188448 | Propagation velocity measurement: autocorrelation technique applied to the electromyogram | cites work | P2860 |
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