Analysis of EMG and ECG Signals on the Muscles of Water Polo Athletes using MLPNN, A cognitive, Practical and Rehabilitation Approach
Main Article Content
Keywords
Electromyogram (EMG), Electrocardiogram (ECG), ANN, Filtering, Water Polo Athletes, Sport
Abstract
Today, a large number of athletes perform many tests to increase the performance of their abilities related to muscle strength. One of these tests is to examine their electromyogram signal or EMG for short. In this research, advanced processes for evaluating the feature space for water polo athletes have been studied. To support the aforementioned issue, we have recorded the EMG and ECG signals from 20 athletes. For this purpose, after recording the the EMG from the muscles of Trapezius, Pectoralis, Deltoid, Triceps as well as signal processing and feature extraction, the feature space is evaluated, and finally, using MLP neural network, we have classified these four muscles for practical applications applied for Rehabilitation Purposes. After that, we first distinguished the two motion classes, Flexion & Extension, from each other, and then differentiated the extension, supination, and pronation movements from each other and then examined the third channel called the goniometer. Then, after filtering the processed data and using the KNN classifier, the percentage of accuracy of the MLP neural network used in this study demonstrated 89.93%, which indicates that using the EMG signal for athletes, the performance of the damaged muscle as well as enhancement regarding rehabilitation in cases of injuries has improved and can be expected
References
Luís Augusto Nagasaki Costa , Célio Maschio , Denis José Schiozer. (4102). Application of artificial neural networks in a history matching process. Journal of Petroleum Science and Engineering, Vol. 043, 31–22.
Vitaly Moiseevich Bernshtein, Ulitsa Vavilova, korpus, and Efim Pinkhasovich Polyan.(0791) . Artificial hand for prostheses with bioelectrical control, Ulitsa Morisa Toreza 4660, kv. 267, all of Moscow, USSR.
Holmgaard, S. , Ning Jiang , Englehart, K. Enhanced.(4117) EMG signal processing for simultaneous and proportional myoelectric control . Engineering in Medicine and Biology Society. Sudarsan , Dr.
E. Chandra Sekaran. (4104). Design and Development of EMG Controlled Prosthetics Limb, Procedia Engineering, Vol. 33, 3229–3220.
Xuance Zhou , Carmel Majidi, Oliver M. O’Reilly. (4102). Improving Industrial Design through Handson Experimentation. International Journal of Solids and Structures, Vol. 62–62, 022–062.
Ivan Virgala , Michal Kelemen, Martin Varga, Piotr Kuryło.(4102). Analyzing, Modeling and Simulation of Humanoid Robot Hand Motion, Procedia Engineering, Vol. 76, 237–277.
S.M. Mane , R.A. Kambli, F.S. Kazi, N.M. Singh. (4102). Hand Motion Recognition from Single Channel Surface EMG Using Wavelet & Artificial Neural Network. Procedia Computer Science, Vol. 27, 23–62.
Ulvi Baspinar , Huseyin Selcuk Varol, Volkan Yusuf Senyurek. (4103). Performance Comparison of Artificial Neural Network and Gaussian Mixture Model in Classifying Hand Motions by Using sEMG Signals. Biocybernetics and Biomedical Engineering.Vol. 33, I. 0, 33–
G. Di Pino , E. Guglielmelli , P.M. Rossini.( 4117). Neuroplasticity in amputees: Main implications on bidirectional interfacing of cybernetic hand prostheses. Progress in Neurobiology, Vol. 33, I. 4, 002–046.
Albert B. Colman. (0769). A mechanical hand with automatic proportional control of prehension, Medical and biological engineering, Vol. 2, I. 2, 212-200.
Alizadeh, S., Bagheri, I., Jarma, M. B., Vahedi, M., & Irankhah, E. Lane Weaving and Vehicle Plate Detection based on CNN. (2020).
Bagheri, I., Alizadeh, S., & Irankhah, E. Design and Implementation of Wireless IMU-based Posture Correcting Biofeedback System. (2020).
F. Romero, F.J. Alonso, J. Cubero, G. Galán-Marín. (4102). An automatic SSA-based de-noising and smoothing technique for surface electromyography signals, Biomedical Signal Processing and Control, Vol. 03, 309-342.
Aurell, Erik, et al. "Refined second law of thermodynamics for fast random processes." Journal of statistical physics 147.3 (2012): 487-505.
G. Gudnason, E. Bruun, and M. Haugland, “A chip for an implantable neural stimulator,” . 2000.
K. Arabi and M. Sawan, “Implantable multiprogrammable microstimulator dedicated to bladder control,” Medical and Biological Engineering and Computing, 1996.
Q. Xu, J. Li, W. Han, and H. Zhou, “A fully implantable stimulator with wireless power and data transmission for experimental use in epidural spinal cord stimulation,” IEEE EMBS, 2011
V. Valente, A. Demosthenous, and R. Bayford, “A tripolar currentsteering stimulator ASIC for field shaping in deep brain stimulation,” IEEE .2012.
H. McDermott, “An advanced multiple channel cochlear implant,” IEEE . 1989.
L. S. Y. Wong, S. Hossain, A. Ta, J. Edvinsson, D. H. Rivas, and H. Naas, “A very low-power CMOS mixed-signal IC for implantable pacemaker applications,” IEEE .2004.
M. Ortmanns, A. Rocke, M. Gehrke, and H. Tiedtke, “A 232-channel epiretinal stimulator ASIC,” IEEE .2007.
M. Ghovanloo and K. Najafi, “A wireless implantable multichannel microstimulating systemon-a-chip with modular architecture,” IEEE , 2007.
M. Sivaprakasam, W. T. Liu, M. S. Humayun, and J. D. Weiland, “A variable range bi-phasic current stimulus driver circuitry for an implantable retinal prosthetic device,” IEEE , 2005.
N. Dommel, Y. T. Wong, T. Lehmann, C. W. Dodds, N. H. Lovell, and G. J. Suaning, “A CMOS retinal neurostimulator capable of focused, simultaneous stimulation,” Journal of Neural Engineering, 2009.
Werin, M., Maenhout, A., Icket, J., Jacxsens, N., Kempkes, E., & Cools, A. (2021). Does the activity in scapular muscles during plyometric exercises change when the kinetic chain is challenged? An EMG study. Journal of strength and conditioning research.
T. Stieglitz, T. Boretius, J. Ordonez, C. Hassler, C. Henle, W. Meier, D. Plachta, and M. Schuettler, “Miniaturized neural interfaces and implants,” in SPIE Conference on Microfluidics, BioMEMS, and Medical Microsystems, 2012
T. Guenter, C. E. D. Dodds, N. H. Lovell, and G. J. Suaning, “Chip-scale hermetic feedthroughs for implantable bionics,” IEEE, 2011
L. H. Jung, N. Shany, , T. Lehmann, P. Preston, N. H. Lovell, and G. J. Suaning, “Towards a chip scale neurostimulator: System architecture of a current-driven 98 channel neurostimulator via a two-wire interface,” IEEE , 2011
S. Guo and H. Lee, “An efficiency-enhanced CMOS rectifier with unbalanced-biased comparators for transcutaneous-powered high-current implants,” IEEE , 2009.
A. Z. Alex and T. Lehmann, “Highly efficient AC power transfer in distributed biomedical implants using silicon-on-sapphire technology,” IEEE , 2011, 61
S. Rajapandian, K. L. Shepard, P. Hazucha, , and T. Karnik, “Highvoltage power delivery through charge recycling,” IEEE , 2006.
Ehrmann, G., Blachowicz, T., Homburg, S. V., & Ehrmann, A. (2022). Measuring Biosignals with Single Circuit Boards. Bioengineering, 9(2), 84.
Y. Yang and T. Lehmann, “Current recycling in linear regulators for biomedical implants,” IEEE , 2010,
M. Ghovanloo and K. Najafi, “A high-rate frequency shift keying demodulator chip for wireless biomedical implants,” IEEE , 2003,
L. H. Jung, P. Byrnes-Preston, R. Hessler, T. Lehmann, G. J. Suaning, and N. H. Lovell, “Dual band wireless power and FSK data telemetry for biomedical implants,” 29th IEEE , 2007
L. H. Jung, T. Lehmann, G. J. Suaning, and N. H. Lovell, “A novel semistatic thresholdtriggered delay element for low power applications,” in IEEE , 2011
S. Atluri and M. Ghovanloo, “Incorporating back telemetry in a fullwave CMOS rectifier for RFID and biomedical applications,” IEEE , 2007
D. R. Merrill, M. Bikson, and J. G. R. Jefferys, “Electrical stimulation of excitable tissue” Journal of Neuroscience Methods, , 2005.
H. Chun, T. Lehmann, and Y. Yang, “Implantable stimulator for bipolar stimulation without charge balancing circuits,” IEEE , 2010.
Y. Moghe and T. Lehmann, “A novel safety system concept and implementation for implantable stimulators: A universal DC tissue leakage current detector,” IEEE , 2008
M. Ghovanloo and S. Atluri, “A Wide-Band Power-Efficient Inductive Wireless Link for Implantable Microelectronic Devices Using Multiple Carriers,” IEEE ، 2007.
U.-M. Jow and M. Ghovanloo, “Design and Optimization of Printed Spiral Coils for Efficient Transcutaneous Inductive Power Transmission,” IEEE ، 2007.
K. M. Silay, C. Dehollain, and M. Declercq, “Improvement of Power Efficiency of Inductive Links for Implantable Devices,” , 2008.
T. H. Lee, The Design of CMOS Radio-Frequency Integrated Circuits, Cambridge University Press, 2004.
H. M. Greenhouse, “Design of Planar Rectangular Microelectronic Inductors,” IEEE،1974.
K. Kang, J. Shi, W. Y. Yin, L. W. Li, S. Zouhdi, S. C. Rustagi and K. Mouthaan, “Analysis of Frequency- and Temperature-Dependent Substrate Eddy Currents in On-chip Spiral Inductors Using the Complex Image Method,” IEEE ،2007.
Y. Eo and W. R. Eisenstadt, “High-speed VLSI interconnect modeling based on S-parameter measurements,” IEEE . 1993.
Vitaly Moiseevich Bernshtein, Ulitsa Vavilova, korpus, and Efim Pinkhasovich Polyan.(0791) . Artificial hand for prostheses with bioelectrical control, Ulitsa Morisa Toreza 4660, kv. 267, all of Moscow, USSR.
Holmgaard, S. , Ning Jiang , Englehart, K. Enhanced.(4117) EMG signal processing for simultaneous and proportional myoelectric control . Engineering in Medicine and Biology Society. Sudarsan , Dr.
E. Chandra Sekaran. (4104). Design and Development of EMG Controlled Prosthetics Limb, Procedia Engineering, Vol. 33, 3229–3220.
Xuance Zhou , Carmel Majidi, Oliver M. O’Reilly. (4102). Improving Industrial Design through Handson Experimentation. International Journal of Solids and Structures, Vol. 62–62, 022–062.
Ivan Virgala , Michal Kelemen, Martin Varga, Piotr Kuryło.(4102). Analyzing, Modeling and Simulation of Humanoid Robot Hand Motion, Procedia Engineering, Vol. 76, 237–277.
S.M. Mane , R.A. Kambli, F.S. Kazi, N.M. Singh. (4102). Hand Motion Recognition from Single Channel Surface EMG Using Wavelet & Artificial Neural Network. Procedia Computer Science, Vol. 27, 23–62.
Ulvi Baspinar , Huseyin Selcuk Varol, Volkan Yusuf Senyurek. (4103). Performance Comparison of Artificial Neural Network and Gaussian Mixture Model in Classifying Hand Motions by Using sEMG Signals. Biocybernetics and Biomedical Engineering.Vol. 33, I. 0, 33–
G. Di Pino , E. Guglielmelli , P.M. Rossini.( 4117). Neuroplasticity in amputees: Main implications on bidirectional interfacing of cybernetic hand prostheses. Progress in Neurobiology, Vol. 33, I. 4, 002–046.
Albert B. Colman. (0769). A mechanical hand with automatic proportional control of prehension, Medical and biological engineering, Vol. 2, I. 2, 212-200.
Alizadeh, S., Bagheri, I., Jarma, M. B., Vahedi, M., & Irankhah, E. Lane Weaving and Vehicle Plate Detection based on CNN. (2020).
Bagheri, I., Alizadeh, S., & Irankhah, E. Design and Implementation of Wireless IMU-based Posture Correcting Biofeedback System. (2020).
F. Romero, F.J. Alonso, J. Cubero, G. Galán-Marín. (4102). An automatic SSA-based de-noising and smoothing technique for surface electromyography signals, Biomedical Signal Processing and Control, Vol. 03, 309-342.
Aurell, Erik, et al. "Refined second law of thermodynamics for fast random processes." Journal of statistical physics 147.3 (2012): 487-505.
G. Gudnason, E. Bruun, and M. Haugland, “A chip for an implantable neural stimulator,” . 2000.
K. Arabi and M. Sawan, “Implantable multiprogrammable microstimulator dedicated to bladder control,” Medical and Biological Engineering and Computing, 1996.
Q. Xu, J. Li, W. Han, and H. Zhou, “A fully implantable stimulator with wireless power and data transmission for experimental use in epidural spinal cord stimulation,” IEEE EMBS, 2011
V. Valente, A. Demosthenous, and R. Bayford, “A tripolar currentsteering stimulator ASIC for field shaping in deep brain stimulation,” IEEE .2012.
H. McDermott, “An advanced multiple channel cochlear implant,” IEEE . 1989.
L. S. Y. Wong, S. Hossain, A. Ta, J. Edvinsson, D. H. Rivas, and H. Naas, “A very low-power CMOS mixed-signal IC for implantable pacemaker applications,” IEEE .2004.
M. Ortmanns, A. Rocke, M. Gehrke, and H. Tiedtke, “A 232-channel epiretinal stimulator ASIC,” IEEE .2007.
M. Ghovanloo and K. Najafi, “A wireless implantable multichannel microstimulating systemon-a-chip with modular architecture,” IEEE , 2007.
M. Sivaprakasam, W. T. Liu, M. S. Humayun, and J. D. Weiland, “A variable range bi-phasic current stimulus driver circuitry for an implantable retinal prosthetic device,” IEEE , 2005.
N. Dommel, Y. T. Wong, T. Lehmann, C. W. Dodds, N. H. Lovell, and G. J. Suaning, “A CMOS retinal neurostimulator capable of focused, simultaneous stimulation,” Journal of Neural Engineering, 2009.
Werin, M., Maenhout, A., Icket, J., Jacxsens, N., Kempkes, E., & Cools, A. (2021). Does the activity in scapular muscles during plyometric exercises change when the kinetic chain is challenged? An EMG study. Journal of strength and conditioning research.
T. Stieglitz, T. Boretius, J. Ordonez, C. Hassler, C. Henle, W. Meier, D. Plachta, and M. Schuettler, “Miniaturized neural interfaces and implants,” in SPIE Conference on Microfluidics, BioMEMS, and Medical Microsystems, 2012
T. Guenter, C. E. D. Dodds, N. H. Lovell, and G. J. Suaning, “Chip-scale hermetic feedthroughs for implantable bionics,” IEEE, 2011
L. H. Jung, N. Shany, , T. Lehmann, P. Preston, N. H. Lovell, and G. J. Suaning, “Towards a chip scale neurostimulator: System architecture of a current-driven 98 channel neurostimulator via a two-wire interface,” IEEE , 2011
S. Guo and H. Lee, “An efficiency-enhanced CMOS rectifier with unbalanced-biased comparators for transcutaneous-powered high-current implants,” IEEE , 2009.
A. Z. Alex and T. Lehmann, “Highly efficient AC power transfer in distributed biomedical implants using silicon-on-sapphire technology,” IEEE , 2011, 61
S. Rajapandian, K. L. Shepard, P. Hazucha, , and T. Karnik, “Highvoltage power delivery through charge recycling,” IEEE , 2006.
Ehrmann, G., Blachowicz, T., Homburg, S. V., & Ehrmann, A. (2022). Measuring Biosignals with Single Circuit Boards. Bioengineering, 9(2), 84.
Y. Yang and T. Lehmann, “Current recycling in linear regulators for biomedical implants,” IEEE , 2010,
M. Ghovanloo and K. Najafi, “A high-rate frequency shift keying demodulator chip for wireless biomedical implants,” IEEE , 2003,
L. H. Jung, P. Byrnes-Preston, R. Hessler, T. Lehmann, G. J. Suaning, and N. H. Lovell, “Dual band wireless power and FSK data telemetry for biomedical implants,” 29th IEEE , 2007
L. H. Jung, T. Lehmann, G. J. Suaning, and N. H. Lovell, “A novel semistatic thresholdtriggered delay element for low power applications,” in IEEE , 2011
S. Atluri and M. Ghovanloo, “Incorporating back telemetry in a fullwave CMOS rectifier for RFID and biomedical applications,” IEEE , 2007
D. R. Merrill, M. Bikson, and J. G. R. Jefferys, “Electrical stimulation of excitable tissue” Journal of Neuroscience Methods, , 2005.
H. Chun, T. Lehmann, and Y. Yang, “Implantable stimulator for bipolar stimulation without charge balancing circuits,” IEEE , 2010.
Y. Moghe and T. Lehmann, “A novel safety system concept and implementation for implantable stimulators: A universal DC tissue leakage current detector,” IEEE , 2008
M. Ghovanloo and S. Atluri, “A Wide-Band Power-Efficient Inductive Wireless Link for Implantable Microelectronic Devices Using Multiple Carriers,” IEEE ، 2007.
U.-M. Jow and M. Ghovanloo, “Design and Optimization of Printed Spiral Coils for Efficient Transcutaneous Inductive Power Transmission,” IEEE ، 2007.
K. M. Silay, C. Dehollain, and M. Declercq, “Improvement of Power Efficiency of Inductive Links for Implantable Devices,” , 2008.
T. H. Lee, The Design of CMOS Radio-Frequency Integrated Circuits, Cambridge University Press, 2004.
H. M. Greenhouse, “Design of Planar Rectangular Microelectronic Inductors,” IEEE،1974.
K. Kang, J. Shi, W. Y. Yin, L. W. Li, S. Zouhdi, S. C. Rustagi and K. Mouthaan, “Analysis of Frequency- and Temperature-Dependent Substrate Eddy Currents in On-chip Spiral Inductors Using the Complex Image Method,” IEEE ،2007.
Y. Eo and W. R. Eisenstadt, “High-speed VLSI interconnect modeling based on S-parameter measurements,” IEEE . 1993.
Article Sidebar
Published
Nov 4, 2023
Article Details
How to Cite
Mahdi Bayat, Faeze Molaee, Iman Bagheri. (2023). Analysis of EMG and ECG Signals on the Muscles of Water Polo Athletes using MLPNN, A cognitive, Practical and Rehabilitation Approach . Journal of Population Therapeutics and Clinical Pharmacology, 30(14), (430–445. https://doi.org/10.53555/jptcp.v30i14.3322
Section
Articles
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
All articles published in JPTCP are licensed under Copyright Creative Commons Attribution-NonCommercial 4.0 International License.