Electromyographic complex with goniometric tracking of the degree of muscle

The focus of this research is on the upgrade of the electromyographic system of diagnosing back pain. Back pain is a common ailment that affects people of different classes and differs in its intensity. The evaluation of the condition of the back muscles is carried out according to the results of an electromyographic examination during physical exercise. Electromyographic results are strongly correlated with the degree of tension and flexion of the muscle. The quality of the physical exercise by the patient can be determined by the presence of pain or fear of pain. In this regard, it is proposed to supplement the electromyographic complex with blocks of control of the level of pain, degree of flexion of the back muscles, and sound stimulus to maintain maximal back flexion

[1]  B. Elfving.  Lumbar muscle fatigue and recovery : Evaluation of electromyography in patients with long-term low-back pain and in healthy subjects , 2002 .

[2]  Thilo Hinterberger,et al.  Pain Ratings, Psychological Functioning and Quantitative EEG in a Controlled Study of Chronic Back Pain Patients , 2012, PloS one.

[3]  Waldemar Wójcik,et al.  Physical-mathematical model of optical radiation interaction with biological tissues , 2017, Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (WILGA).

[4]  Mykytenko,et al.  Physical and mathematical model of the digital coherent optical spectrum analyzer , 2017 .

[5]  E. John,et al.  Evaluation of the pain matrix using EEG source localization: a feasibility study. , 2011, Pain medicine.

[6]  Zbigniew Omiotek,et al.  Automated method for structural segmentation of nasal airways based on cone beam computed tomography , 2017, Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (WILGA).

[7]  Aron Burlibay,et al.  Design of decision support system when undertaking medical-diagnostic action , 2015, Optical Fibers and Their Applications.

[8]  L. Kinzl,et al.  Surface electromyography of the paravertebral muscles in patients with chronic low back pain. , 2005, Archives of physical medicine and rehabilitation.

[9]  Ahmad Khaleed AlOmari,et al.  Analysis of Changes of the Hydraulic Diameter and Determination of the Air Flow Modes in the Nasal Cavity , 2011, IP&C.

[10]  Ryszard S. Romaniuk,et al.  Laser photoplethysmography in integrated evaluation of collateral circulation of lower extremities , 2015, Optical Fibers and Their Applications.

[11]  Waldemar Wójcik,et al.  Power supply via optical fibre in home telematic networks , 2008 .

[12]  M. Descarreaux,et al.  Back and hip extensor muscles fatigue in healthy subjects: task-dependency effect of two variants of the Sorensen test , 2008, European Spine Journal.

[13]  A. Haig,et al.  A meta-analytic review of surface electromyography among persons with low back pain and normal, healthy controls. , 2005, The journal of pain : official journal of the American Pain Society.

[14]  Waldemar Wójcik,et al.  Information Technology in Medical Diagnostics II , 2019 .

[15]  Waldemar Wójcik,et al.  Offsetting, relations, and blending with perturbation functions , 2017, Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (WILGA).

[16]  Tatyana Zhemchuzhkina,et al.  To the problem of application of methods of electromyographic signal analysis , 2017 .

[17]  Valentin Kolobrodov,et al.  The diffraction limit of an optical spectrum analyzer , 2015, International Conference on Correlation Optics.

[18]  P. Montoya,et al.  Electroencephalographic Patterns in Chronic Pain: A Systematic Review of the Literature , 2016, PloS one.

[19]  Waldemar Wójcik,et al.  Information Technology in Medical Diagnostics , 2017 .

[20]  Piotr Kisała,et al.  Classification of CT-brain slices based on local histograms , 2015, Optical Fibers and Their Applications.

[21]  Waldemar Wójcik,et al.  Diagnostic efficiency of Mueller-matrix polarization reconstruction system of the phase structure of liver tissue , 2015, Optical Fibers and Their Applications.

[22]  Aliya Kalizhanova,et al.  Principles of computer planning in the functional nasal surgery , 2017 .

[23]  Waldemar Wójcik,et al.  Analysis of microcirculatory disorders in inflammatory processes in the maxillofacial region on based of optoelectronic methods , 2017 .

[24]  Waldemar Wójcik,et al.  ECTL application for carbon monoxide measurements , 2005, SPIE Optics + Optoelectronics.

[25]  Waldemar Wójcik,et al.  EFFICIENCY EVALUATING METHOD FOR THE DEVICES WITH INFRASOUND IMPACT ON THE COMPUTER EQUIPMENT FUNCTIONING , 2018 .

[26]  Aliya Kalizhanova,et al.  Medical expert system for assessment of coronary heart disease destabilization based on the analysis of the level of soluble vascular adhesion molecules , 2017, Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (WILGA).

[27]  Claudia Plant,et al.  Decoding an individual's sensitivity to pain from the multivariate analysis of EEG data. , 2012, Cerebral cortex.