Home-Based Functional Electrical Stimulation of Human Permanent Denervated Muscles: A Narrative Review on Diagnostics, Managements, Results and Byproducts Revisited 2020
Abstract
:1. Introduction
2. Diagnostics
2.1. Patients, Assessments of Permanent Denervation, and Tissue Biopsies
2.1.1. Patients
2.1.2. Assessments of Permanent Denervation
2.1.3. Biopsy Harvesting
2.2. Isometric Knee Extension Torque
2.3. Gross Anatomy of the Thigh Muscles and the Extent of Their Atrophy/Degeneration by Quantitative Muscle Color Computed Tomography
3. Managements
hbFES of Permanent Denervated Muscles by Surface Electrical Stimulation
4. Results
4.1. Results of the EU Program: RISE
4.2. Results beyond the EU Program: RISE
4.2.1. Coactivation of the Hamstring Muscles
4.2.2. SCI-Induced Skin Atrophy Recovers after Two Years of hbFES
4.2.3. Rise2-Italy Project: Functional Echomyography
4.3. Advantages of or Limitations to the Outcomes
4.3.1. Advantages
4.3.2. Main limitation
5. Byproducts
5.1. Neuromuscular Electrical Stimulation Appropriate for Elderly People
5.2. Machine Learning Predictive Systems
6. Conclusions
Supplementary Materials
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
- Larsson, L.; Degens, H.; Li, M.; Salviati, L.; Lee, Y.I.; Thompson, W.; Kirkland, J.L.; Sandri, M. Sarcopenia: Aging-Related Loss of Muscle Mass and Function. Physiol. Rev. 2019, 99, 427–511. [Google Scholar] [CrossRef]
- Gava, P.; Giuriati, W.; Ravara, B. Gender difference of aging performance decay rate in normalized Masters World Records of Athletics: Much less than expected. Eur. J. Transl. Myol. 2020, 30, 8869. [Google Scholar] [CrossRef] [Green Version]
- Spillman, B.C.; Lubitz, J. The effect of longevity on spending for acute and long-term care. New Engl. J. Med. 2000, 342, 1409–1415. [Google Scholar] [CrossRef]
- Coletti, D. Chemotherapy-induced muscle wasting: An update. Eur. J. Transl. Myol. 2018, 28, 7587. [Google Scholar] [CrossRef] [Green Version]
- Chandrasekaran, S.; Davis, J.; Bersch, I.; Goldberg, G.; Gorgey, A.S. Electrical stimulation and denervated muscles after spinal cord injury. Neural Regen. Res. 2020, 15, 1397–1407. [Google Scholar] [CrossRef]
- Hopkins, R.O.; Mitchell, L.; Thomsen, G.E.; Schafer, M.; Link, M.; Brown, S.M. Implementing a mobility program to minimize post-intensive care syndrome. AACN Adv. Crit. Care 2016, 27, 187–203. [Google Scholar] [CrossRef]
- Bolotta, A.; Filardo, G.; Abruzzo, P.M.; Astolfi, A.; De Sanctis, P.; Di Martino, A.; Hofer, C.; Indio, V.; Kern, H.; Löfler, S.; et al. Skeletal Muscle Gene Expression in Long-Term Endurance and Resistance Trained Elderly. Int. J. Mol. Sci. 2020, 21, 3988. [Google Scholar] [CrossRef]
- Šarabon, N.; Smajla, D.; Kozinc, Ž.; Kern, H. Speed-power based training in the elderly and its potential for daily movement function enhancement. Eur. J. Transl. Myol. 2020, 30, 8898. [Google Scholar] [CrossRef] [Green Version]
- Choi, Y.; Cho, J.; No, M.H.; Heo, J.W.; Cho, E.J.; Chang, E.; Park, D.H.; Kang, J.H.; Kwak, H.B. Re-Setting the Circadian Clock Using Exercise against Sarcopenia. Int. J. Mol. Sci. 2020, 21, 3106. [Google Scholar] [CrossRef]
- Jones, S.; Man, W.D.; Gao, W.; Higginson, I.J.; Wilcock, A.; Maddocks, M. Neuromuscular electrical stimulation for muscle weakness in adults with advanced disease. Cochrane Database Syst. Rev. 2016, 10, D009419. [Google Scholar] [CrossRef] [Green Version]
- Mastryukova, V.; Arnold, D.; Güllmar, D.; Guntinas-Lichius, O.; Volk, G.F. Can MRI quantify the volume changes of denervated facial muscles? Eur. J. Transl. Myol. 2020, 30, 8918. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Ades, P.A.; Keteyian, S.J.; Wright, J.S.; Hamm, L.F.; Lui, K.; Newlin, K.; Shepard, D.S.; Thomas, R.J. Increasing Cardiac Rehabilitation Participation From 20% to 70%: A Road Map From the Million Hearts Cardiac Rehabilitation Collaborative. Mayo Clin. Proc. 2017, 92, 234–242. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Vorona, S.; Sabatini, U.; Al-Maqbali, S.; Bertoni, M.; Dres, M.; Bissett, B.; Van Haren, F.; Martin, A.D.; Urrea, C.; Brace, D.; et al. Inspiratory Muscle Rehabilitation in Critically Ill Adults: A Systematic Review and Meta-Analysis. Ann. Am. Thorac. Soc. 2018, 15, 735–744. [Google Scholar] [CrossRef] [PubMed]
- Etoom, M. Comments on: Influence of transcutaneous electrical nerve stimulation on spasticity, balance, and walking speed in stroke patients: A systematic review and meta-analysis. J. Rehabil. Med. 2018, 50, 94. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kiper, P.; Turolla, A. Updates and comments on: Influence of transcutaneous electrical nerve stimulation on spasticity, balance, and walking speed in stroke patients: A systematic review and meta-analysis. J. Rehabil. Med. 2019, 51, 317–318. [Google Scholar] [CrossRef]
- Bersch, I.; Tesini, S.; Bersch, U.; Frotzler, A. Functional electrical stimulation in spinal cord injury: Clinical evidence versus daily practice. Artif. Organs 2015, 39, 849–854. [Google Scholar] [CrossRef] [PubMed]
- Lin, S.; Sun, Q.; Wang, H.; Xie, G. Influence of transcutaneous electrical nerve stimulation on spasticity, balance, and walking speed in stroke patients: A systematic review and meta-analysis. J. Rehabil. Med. 2018, 50, 3–7. [Google Scholar] [CrossRef] [Green Version]
- Burgess, L.C.; Immins, T.; Swain, I.; Wainwright, T.W. Effectiveness of neuromuscular electrical stimulation for reducing oedema: A systematic review. J. Rehabil. Med. 2019, 51, 237–243. [Google Scholar] [CrossRef] [Green Version]
- Laubacher, M.; Aksoez, E.A.; Brust, A.K.; Baumberger, M.; Riener, R.; Binder-Macleod, S.; Hunt, K.J. Stimulation of paralysed quadriceps muscles with sequentially and spatially distributed electrodes during dynamic knee extension. J. Neuroeng. Rehabil. 2019, 16, 5. [Google Scholar] [CrossRef]
- Angeli, C.A.; Boakye, M.; Morton, R.A.; Vogt, J.; Benton, K.; Chen, Y.; Ferreira, C.K.; Harkema, S.J. Recovery of Over-Ground Walking after Chronic Motor Complete Spinal Cord Injury. New Engl. J. Med. 2018, 379, 1244–1250. [Google Scholar] [CrossRef]
- Kern, H.; Carraro, U.; Adami, N.; Biral, D.; Hofer, C.; Forstner, C.; Mödlin, M.; Vogelauer, M.; Pond, A.; Boncompagni, S.; et al. Home-based functional electrical stimulation rescues permanently denervated muscles in paraplegic patients with complete lower motor neuron lesion. Neurorehabil. Neural Repair 2010, 24, 709–721. [Google Scholar] [CrossRef] [PubMed]
- Schuhfried Medizintechnik. Available online: https://schuhfriedmed.at/elektro-und-reizstromtherapie/ (accessed on 16 June 2020).
- Carraro, U.; Kern, H.; Albertin, G.; Masiero, S.; Pond, A.L.; Gargiulo, P. Functional Electrical Stimulation of Permanently Denervated Muscles. Bull. Rehabil. Med. 2020, 97, 130–136. [Google Scholar] [CrossRef]
- Ravara, B.; Hofer, C.; Kern, H.; Guidolin, D.; Porzionato, A.; De Caro, R.; Albertin, G. Dermal papillae flattening of thigh skin in Conus Cauda Syndrome. Eur. J. Transl. Myol. 2018, 28, 7914. [Google Scholar] [CrossRef] [PubMed]
- Miglis, M.G.; Muppidi, S. Can skin biopsy differentiate Parkinson disease from multiple system atrophy? And other updates on recent autonomic research. Clin. Auton. Res. 2020. [Google Scholar] [CrossRef]
- Albertin, G.; Ravara, B.; Kern, H.; Hofer, C.; Loefler, S.; Jurecka, W.; Guidolin, D.; Rambaldo, A.; Porzionato, A.; De Caro, R.; et al. Two-years of home based functional electrical stimulation recovers epidermis from atrophy and flattening after years of complete Conus-Cauda Syndrome. Medicine (Baltimore) 2019, 98, e18509. [Google Scholar] [CrossRef]
- Ricciardi, C.; Edmunds, K.J.; Recenti, M.; Sigurdsson, S.; Gudnason, V.; Carraro, U.; Gargiulo, P. Assessing cardiovascular risks from a mid-thigh CT image: A tree-based machine learning approach using radiodensitometric distributions. Sci. Rep. 2020, 10, 2863. [Google Scholar] [CrossRef] [Green Version]
- Gislason, M.K.; Ingvarsson, P.; Gargiulo, P.; Yngvason, S.; Guðmundsdóttir, V.; Knútsdóttir, S.; Helgason, þ. Finite Element Modelling of the Femur Bone of a Subject Suffering from Motor Neuron Lesion Subjected to Electrical Stimulation. Eur. J. Transl. Myol. 2015, 24, 2187. [Google Scholar] [CrossRef]
- Edmunds, K.J.; Gíslason, M.K.; Arnadottir, I.D.; Marcante, A.; Piccione, F.; Gargiulo, P. Quantitative Computed Tomography and Image Analysis for Advanced Muscle Assessment. Eur. J. Transl. Myol. 2016, 26, 6015. [Google Scholar] [CrossRef]
- Kern, H.; Boncompagni, S.; Rossini, K.; Mayr, W.; Fanò, G.; Zanin, M.E.; Podhorska-Okolow, M.; Protasi, F.; Carraro, U. Long-term denervation in humans causes degeneration of both contractile and excitation- contraction coupling apparatus, wich is reversibile by functional electrical stimulation (FES). A role for myofiber regeneration? J. Neuropathol. Exp. Neurol. 2004, 63, 919–931. [Google Scholar] [CrossRef] [Green Version]
- Boncompagni, S.; Pozzer, D.; Viscomi, C.; Ferreiro, A.; Zito, E. Physical and Functional Cross Talk Between Endo-Sarcoplasmic Reticulum and Mitochondria in Skeletal Muscle. Antioxid. Redox. Signal. 2020, 32, 873–883. [Google Scholar] [CrossRef]
- Edmunds, K.J.; Gargiulo, P. Imaging Approaches in Functional Assessment of Implantable Myogenic Biomaterials and Engineered Muscle Tissue. Eur. J. Transl. Myol. 2015, 25, 4847. [Google Scholar] [CrossRef] [PubMed]
- Kern, H.; Carraro, U.; Adami, N.; Hofer, C.; Loefler, S.; Vogelauer, M.; Mayr, W.; Rupp, R.; Zampieri, S. One year of home-based daily FES in complete lower motor neuron paraplegia: Recovery of tetanic contractility drives the structural improvements of denervated muscle. Neurol. Res. 2010, 32, 5–12. [Google Scholar] [CrossRef] [PubMed]
- Zanato, R.; Martino, L.; Carraro, U.; Kern, H.; Rossato, E.; Masiero, S.; Stramare, R. Functional Echomyography: Thickness, ecogenicity, contraction and perfusion of the LMN denervated human muscle before and during h-bFES. Eur. J. Transl. Myol. 2010, 20, 33–40. [Google Scholar] [CrossRef]
- Yang, K.-C.; Liao, Y.-Y.; Chang, K.-V.; Huang, K.-C.; Han, D.-S. The Quantitative Skeletal Muscle Ultrasonography in Elderly with Dynapenia but Not Sarcopenia Using Texture Analysis. Diagnostics 2020, 10, 400. [Google Scholar] [CrossRef]
- Romero-Morales, M.; Martín-Llantino, P.; Calvo-Lobo, C.; San-Antolín, M.; López-López, D.; Blanco-Morales, M.; Rodríguez-Sanz, D. Ultrasound Imaging of the Abdominal Wall and Trunk Muscles in Patients with Achilles Tendinopathy versus Healthy Participants. Diagnostics 2020, 10, 17. [Google Scholar] [CrossRef] [Green Version]
- Hitzig, S.L.; Eng, J.J.; Miller, W.C.; Sakakibara, B.M. An evidence-based review of aging of the body systems following spinal cord injury. Spinal Cord 2011, 49, 684–701. [Google Scholar] [CrossRef] [Green Version]
- Giangregorio, L.; McCartney, N. Bone Loss and Muscle Atrophy in Spinal Cord Injury: Epidemiology, Fracture Prediction, and Rehabilitation Strategies. J. Spinal Cord Med. 2006, 29, 489–500. [Google Scholar] [CrossRef] [Green Version]
- Pandyan, A.; Gregoric, M.; Barnes, M.P.; Wood, D.; Van Wijck, F.; Burridge, J.; Hermens, H.; Johnson, G.R. Spasticity: Clinical perceptions, neurological realities and meaningful measurement. Disabil. Rehabil. 2005, 27, 2–6. [Google Scholar] [CrossRef]
- Kern, H.; Barberi, L.; Löfler, S.; Sbardella, S.; Burggraf, S.; Fruhmann, H.; Carraro, U.; Mosole, S.; Sarabon, N.; Vogelauer, M.; et al. Electrical stimulation counteracts muscle decline in seniors. Front. Aging Neurosci. 2014, 6, 189. [Google Scholar] [CrossRef] [Green Version]
- Mayr, W. Neuromuscular Electrical Stimulation for Mobility Support of Elderly. Eur. J. Transl. Myol. 2015, 25, 263–268. [Google Scholar] [CrossRef] [Green Version]
- Protasi, F. Mitochondria Association to Calcium Release Units is Controlled by Age and Muscle Activity. Eur. J. Transl. Myol. 2015, 25, 257–262. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Sarabon, N.; Löfler, S.; Hosszu, G.; Hofer, C. Mobility Test Protocols for the Elderly: A Methodological Note. Eur. J. Transl. Myol. 2015, 25, 253–256. [Google Scholar] [CrossRef] [Green Version]
- Cvecka, J.; Tirpakova, V.; Sedliak, M.; Kern, H.; Mayr, W.; Hamar, D. Physical Activity in Elderly. Eur. J. Transl. Myol. 2015, 25, 249–252. [Google Scholar] [CrossRef] [PubMed]
- Forcina, L.; Cosentino, M.; Musarò, A. Mechanisms Regulating Muscle Regeneration: Insights into the Interrelated and Time-Dependent Phases of Tissue Healing. Cells 2020, 9, 1297. [Google Scholar] [CrossRef] [PubMed]
- Sajer, S.; Guardiero, G.S.; Scicchitano, B.M. Myokines in Home-Based Functional Electrical Stimulation-Induced Recovery of Skeletal Muscle in Elderly and Permanent Denervation. Eur. J. Transl. Myol. 2018, 28, 7905. [Google Scholar] [CrossRef] [Green Version]
- Scicchitano, B.M.; Sica, G.; Musarò, A. Stem Cells and Tissue Niche: Two Faces of the Same Coin of Muscle Regeneration. Eur. J. Transl. Myol. 2016, 26, 6125. [Google Scholar] [CrossRef] [Green Version]
- Barberi, L.; Scicchitano, B.M.; Musaro, A. Molecular and Cellular Mechanisms of Muscle Aging and Sarcopenia and Effects of Electrical Stimulation in Seniors. Eur. J. Transl. Myol. 2015, 25, 231–236. [Google Scholar] [CrossRef] [Green Version]
- Taylor, M.J.; Fornusek, C.; Ruys, A.J. Reporting for Duty: The duty cycle in Functional Electrical Stimulation research. Part I: Critical commentaries of the literature. Eur. J. Transl. Myol. 2018, 258, 7732. [Google Scholar] [CrossRef]
- Taylor, M.J.; Fornusek, C.; Ruys, A.J. The duty cycle in Functional Electrical Stimulation research. Part II: Duty cycle multiplicity and domain reporting. Eur. J. Transl. Myol. 2018, 258, 7733. [Google Scholar] [CrossRef]
- Taylor, M.J.; Schils, S.; Ruys, A.J. Home FES: An Exploratory Review. Eur. J. Transl. Myol. 2019, 29, 8285. [Google Scholar] [CrossRef] [Green Version]
- Quittan, M.; Sochor, A.; Wiesinger, G.F.; Kollmitzer, J.; Sturm, B.; Pacher, R.; Mayr, W. Strength improvement of knee extensor muscles in patients with chronic heart failure by neuromuscular electrical stimulation. Artif. Organs 1999, 23, 432–435. [Google Scholar] [CrossRef]
- Deley, G.; Denuziller, J.; Babault, N. Functional electrical stimulation: Cardiorespiratory adaptations and applications for training in paraplegia. Sports Med. 2015, 45, 71–82. [Google Scholar] [CrossRef] [PubMed]
- Braz, G.P.; Russold, M.F.; Fornusek, C.; Hamzaid, N.A.; Smith, R.M.; Davis, G.M. Cardiorespiratory and Muscle Metabolic Responses During Conventional Versus Motion Sensor-Assisted Strategies for Functional Electrical Stimulation Standing After Spinal Cord Injury. Artif. Organs 2015, 39, 855–862. [Google Scholar] [CrossRef] [PubMed]
- Crevenna, R.; Wolzt, M.; Fialka-Moser, V.; Keilani, M.; Nuhr, M.; Paternostro-Sluga, T.; Pacher, R.; Mayr, W.; Quittan, M. Long-term transcutaneous neuromuscular electrical stimulation in patients with bipolar sensing implantable cardioverter defibrillators: A pilot safety study. Artif. Organs 2004, 28, 99–102. [Google Scholar] [CrossRef] [PubMed]
- Coste, C.A.; Bergeron, V.; Berkelmans, R.; Martins, E.F.; Fornusek, C.; Jetsada, A.; Hunt, K.J.; Tong, R.; Triolo, R.; Wolf, P. Comparison of strategies and performance of functional electrical stimulation cycling in spinal cord injury pilots for competition in the first ever CYBATHLON. Eur. J. Transl. Myol. 2017, 27, 7219. [Google Scholar] [CrossRef]
- Mitchell, W.K.; Williams, J.; Atherton, P.; Larvin, M.; Lund, J.; Narici, M. Sarcopenia, dynapenia, and the impact of advancing age on human skeletal muscle size and strength; a quantitative review. Front. Physiol. 2012, 3, 260. [Google Scholar] [CrossRef] [Green Version]
- Rommers, N.; RÖssler, R.; Verhagen, E.; Vandecasteele, F.; Verstockt, S.; Vaeyens, R.; Lenoir, M.; D’Hondt, E.; Witvrouw, E. A Machine Learning Approach to Assess Injury Risk in Elite Youth Football Players. Med. Sci. Sports Exerc. 2020, 52, 1745–1751. [Google Scholar] [CrossRef]
- Burgos, N.; Colliot, O. Machine learning for classification and prediction of brain diseases: Recent advances and upcoming challenges. Curr. Opin. Neurol. 2020, 33, 439–450. [Google Scholar] [CrossRef]
- Saxby, D.J.; Killen, B.A.; Pizzolato, C.; Carty, C.P.; Diamond, L.E.; Modenese, L.; Fernandez, J.; Davico, G.; Barzan, M.; Lenton, G.; et al. Machine learning methods to support personalized neuromusculoskeletal modelling. Biomech. Model. Mechanobiol. 2020. [Google Scholar] [CrossRef]
- Lin, A.; Dey, D. CT-based radiomics and machine learning for the prediction of myocardial ischemia: Toward increasing quantification. J. Nucl. Cardiol. 2020. [Google Scholar] [CrossRef]
- Agne, N.A.; Tisott, C.G.; Ballester, P.; Passos, I.C.; Ferrão, Y.A. Predictors of suicide attempt in patients with obsessive-compulsive disorder: An exploratory study with machine learning analysis. Psychol. Med. 2020, 16, 1–11. [Google Scholar] [CrossRef]
- Recenti, M.; Ricciardi, C.; Edmunds, K.; Gislason, M.K.; Gargiulo, P. Machine learning predictive system based upon radiodensitometric distributions from mid-thigh CT images. Eur. J. Transl. Myol. 2020, 30, 8892. [Google Scholar] [CrossRef] [Green Version]
- Harris, T.B.; Launer, L.J.; Eiriksdottir, G.; Kjartansson, O.; Jonsson, P.V.; Sigurdsson, G.; Thorgeirsson, G.; Aspelund, T.; Garcia, M.E.; Cotch, M.F.; et al. Age, Gene/Environment Susceptibility–Reykjavik Study: Multidisciplinary Applied Phenomics. Am. J. Epidemiol. 2007, 165, 1076–1087. [Google Scholar] [CrossRef] [Green Version]
- Edmunds, K.J.; Petersen, H.; Hassan, M.; Yassine, S.; Olivieri, A.; Barollo, F.; Friðriksdóttir, R.; Edmunds, P.; Gíslason, M.K.; Fratini, A.; et al. Cortical recruitment and functional dynamics in postural control adaptation and habituation during vibratory proprioceptive stimulation. J. Neural. Eng. 2019, 16, 026037. [Google Scholar] [CrossRef] [Green Version]
- Molchanova, E.E. Clinical efficiency of dynamic electroneurostimulation in the acute period of the ischemic stroke. Bull. Rehabil. Med. 2015, 65, 33–36. (In Russian) [Google Scholar]
- Evstigneeva, L.P.; Polyanskaya, T.P.; Vlasov, A.A. The role of dynamic electricneurostimulation in reducing pain and improving quality of life of patients with osteoporosis. Bull. Rehabil. Med. 2015, 67, 19–28. (In Russian) [Google Scholar]
- Drobyshev, V.A.; Gerasimenko, O.N.; Romanovskaya, N.S.; Vlasov, A.A.; Shashukov, D.A. Effectiveness of dynamic electrical stimulation in complex treatment in acute period of ischemic stroke. Bull. Rehabil. Med. 2016, 72, 21–26. (In Russian) [Google Scholar]
- Kadochnikova, E.Y.; Vlasov, A.A.; Alekseeva, L.I.; Didikina, I.G.; Ershova, O.B.; Zaitseva, E.M.; Korotkova, T.A.; Popova, T.A.; Sukhareva, M.L.; Taskina, E.A.; et al. The effectiveness of dynamic electroneurostimulation (DENS) in the pain management in knee osteoarthritis (results of a multicenter randomized study). Bull. Rehabil. Med. 2016, 73, 14–22. (In Russian) [Google Scholar]
- Tkachenko, P.V.; Daminov, V.D.; Karpov, O.E. Synchronized application of the exoskeleton with functional electrostimulation in the spinal cord injury patients. Bull. Rehabil. Med. 2017, 85, 123–130. (In Russian) [Google Scholar]
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Kern, H.; Carraro, U. Home-Based Functional Electrical Stimulation of Human Permanent Denervated Muscles: A Narrative Review on Diagnostics, Managements, Results and Byproducts Revisited 2020. Diagnostics 2020, 10, 529. https://doi.org/10.3390/diagnostics10080529
Kern H, Carraro U. Home-Based Functional Electrical Stimulation of Human Permanent Denervated Muscles: A Narrative Review on Diagnostics, Managements, Results and Byproducts Revisited 2020. Diagnostics. 2020; 10(8):529. https://doi.org/10.3390/diagnostics10080529
Chicago/Turabian StyleKern, Helmut, and Ugo Carraro. 2020. "Home-Based Functional Electrical Stimulation of Human Permanent Denervated Muscles: A Narrative Review on Diagnostics, Managements, Results and Byproducts Revisited 2020" Diagnostics 10, no. 8: 529. https://doi.org/10.3390/diagnostics10080529
APA StyleKern, H., & Carraro, U. (2020). Home-Based Functional Electrical Stimulation of Human Permanent Denervated Muscles: A Narrative Review on Diagnostics, Managements, Results and Byproducts Revisited 2020. Diagnostics, 10(8), 529. https://doi.org/10.3390/diagnostics10080529