Characterization of Forearm Muscle Activation in Duchenne Muscular Dystrophy via High-Density Electromyography: A Case Study on the Implications for Myoelectric Control.
Konstantinos Nizamis,Noortje H.M. Rijken,Robbert van Middelaar,João Pedro Neto,Bart F.J.M. Koopman,Massimo Sartori +5 more
Reads0
Chats0
TLDR
The ability of the DMD participants to produce repeatable HD-sEMG patterns was unexpectedly comparable to that of healthy participants, and the same holds true for their offline myocontrol performance, disproving the hypothesis and suggesting a clear potential for the myOControl of wearable exoskeletons.Abstract:
Duchenne muscular dystrophy (DMD) is a genetic disorder that results in progressive muscular degeneration. Although medical advances increased their life expectancy, DMD individuals are still highly dependent on caregivers. Hand/wrist function is central for providing independence, and robotic exoskeletons are good candidates for effectively compensating for deteriorating functionality. Robotic hand exoskeletons require the accurate decoding of motor intention typically via surface electromyography (sEMG). Traditional low-density sEMG was used in the past to explore the muscular activations of individuals with DMD; however, it cannot provide high spatial resolution. This study characterized, for the first time, the forearm high-density (HD) electromyograms of three individuals with DMD while performing seven hand/wrist-related tasks and compared them to eight healthy individuals (all data available online). We looked into the spatial distribution of HD-sEMG patterns by using principal component analysis (PCA) and also assessed the repeatability and the amplitude distributions of muscle activity. Additionally, we used a machine learning approach to assess DMD individuals' potentials for myocontrol. Our analysis showed that although participants with DMD were able to repeat similar HD-sEMG patterns across gestures (similarly to healthy participants), a fewer number of electrodes was activated during their gestures compared to the healthy participants. Additionally, participants with DMD activated their muscles close to maximal contraction level (0.63 ± 0.23), whereas healthy participants had lower normalized activations (0.26 ± 0.2). Lastly, participants with DMD showed on average fewer PCs (3), explaining 90% of the complete gesture space than the healthy (5). However, the ability of the DMD participants to produce repeatable HD-sEMG patterns was unexpectedly comparable to that of healthy participants, and the same holds true for their offline myocontrol performance, disproving our hypothesis and suggesting a clear potential for the myocontrol of wearable exoskeletons. Our findings present evidence for the first time on how DMD leads to progressive alterations in hand/wrist motor control in DMD individuals compared to healthy. The better understanding of these alterations can lead to further developments for the intuitive and robust myoelectric control of active hand exoskeletons for individuals with DMD.read more
Citations
More filters
Journal ArticleDOI
An EMG-Driven Musculoskeletal Model for Estimating Continuous Wrist Motion
TL;DR: An EMG-driven musculoskeletal model that interprets the muscle activation levels from EMG signals is proposed to estimate continuous wrist joint motion and provides an accurate tracking performance based on user’s intention.
Journal ArticleDOI
Converging Robotic Technologies in Targeted Neural Rehabilitation: A Review of Emerging Solutions and Challenges.
TL;DR: In this paper, a review of existing and emerging neural rehabilitation technologies through the perspective of replacing or restoring functions, enhancing, or improving natural neural output, as well as promoting or recruiting dormant neuroplasticity is presented.
Journal ArticleDOI
Critical Appraisal of Surface Electromyography (sEMG) as a Taught Subject and Clinical Tool in Medicine and Kinesiology
TL;DR: The state of the field in Croatia is examined, and its clinical acceptance in several areas of medicine and kinesiology, including neurology, psychology, psychiatry, physiatry, physical medicine and rehabilitation, biomechanics and motor control, and gnathology, is evaluated.
Journal ArticleDOI
Bipolar versus high-density surface electromyography for evaluating risk in fatiguing frequency-dependent lifting activities.
Tiwana Varrecchia,Alberto Ranavolo,Silvia Conforto,Alessandro Marco De Nunzio,Michail Arvanitidis,Francesco Draicchio,Deborah Falla +6 more
TL;DR: In this paper, high-density surface electromyography (HDsEMG) was used to detect risk levels associated with different fatiguing lifting conditions compared to traditional bipolar sEMG.
Journal ArticleDOI
Critical Issues and Imminent Challenges in the Use of sEMG in Return-To-Work Rehabilitation of Patients Affected by Neurological Disorders in the Epoch of Human-Robot Collaborative Technologies.
TL;DR: In this paper, a return-to-work program should consider several recent innovations in the clinical and ergonomic fields, including surface electromyography (sEMG), a multi-channel, non-invasive, wireless, wearable tool, which allows in-depth analysis of motor coordination mechanisms.
References
More filters
Book
Biomechanics and Motor Control of Human Movement
TL;DR: The Fourth Edition of Biomechanics as an Interdiscipline: A Review of the Fourth Edition focuses on biomechanical Electromyography, with a focus on the relationship between Electromyogram and Biomechinical Variables.
Journal ArticleDOI
Development of recommendations for SEMG sensors and sensor placement procedures.
TL;DR: A common body of knowledge has been created on SEMG sensors and sensor placement properties as well as practical guidelines for the proper use of SEMG.
Journal ArticleDOI
Diagnosis and management of Duchenne muscular dystrophy, part 1: diagnosis, and pharmacological and psychosocial management
Katharine Bushby,Richard S. Finkel,David J. Birnkrant,Laura E. Case,Paula R. Clemens,Linda H. Cripe,Ajay Kaul,Kathi Kinnett,Craig M. McDonald,Shree Pandya,James Poysky,Frederic Shapiro,Jean Tomezsko,Carolyn M. Constantin +13 more
TL;DR: These recommendations provide a framework for recognising the multisystem primary manifestations and secondary complications of DMD and for providing coordinated multidisciplinary care.
Journal ArticleDOI
Techniques of EMG signal analysis: detection, processing, classification and applications
TL;DR: The various methodologies and algorithms for EMG signal analysis are illustrated to provide efficient and effective ways of understanding the signal and its nature to help researchers develop more powerful, flexible, and efficient applications.
Journal ArticleDOI
Diagnosis and management of Duchenne muscular dystrophy, part 2: implementation of multidisciplinary care
Katharine Bushby,Richard S. Finkel,David J. Birnkrant,Laura E. Case,Paula R. Clemens,Linda H. Cripe,Ajay Kaul,Kathi Kinnett,Craig M. McDonald,Shree Pandya,James Poysky,Frederic Shapiro,Jean Tomezsko,Carolyn M. Constantin +13 more
TL;DR: A comprehensive set of DMD care recommendations for management of rehabilitation, orthopaedic, respiratory, cardiovascular, gastroenterology/nutrition, and pain issues, as well as general surgical and emergency-room precautions are presented.