György M Lévay, Ruichen Yang, Christopher L Hunt, Megan C Hodgson, Rahul R Kaliki, Nitish V Thakor
{"title":"PATTERN SEPARABILITY VISUAL FEEDBACK TO IMPROVE PATTERN RECOGNITION DECODING PERFORMANCE.","authors":"György M Lévay, Ruichen Yang, Christopher L Hunt, Megan C Hodgson, Rahul R Kaliki, Nitish V Thakor","doi":"10.57922/mec.2515","DOIUrl":"10.57922/mec.2515","url":null,"abstract":"<p><p>State-of-the-art myoelectric upper limb prostheses control often utilize pattern recognition (PR) systems that translate electromyograph (EMG) activity to a desired movement. As possible prosthesis movements increase, users have difficulty generating sufficiently separable EMG signals that reliably operate all possible degrees of freedom. Current training regimens attempt to increase the separability of a user's EMG signals through trial-and-error, where a therapist prompts a user to generate EMG signals and provides advice based on the strength and channel distribution of the EMG. In this work, we present a novel visual feedback interface that allows users to observe how their EMG signals affect PR output directly.</p>","PeriodicalId":521135,"journal":{"name":"Myoelectric Controls and Upper Limb Prosthetics Symposium","volume":"2024 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12668413/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145663617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Christopher L Hunt, György M Lévay, Megan C Hodgson, Damini Agarwal, Rahul R Kaliki
{"title":"FEASIBILITY OF THE GLIDE MYOELECTRIC CONTROL ALGORITHM TO PARTIAL HAND PROSTHESIS CONTROL.","authors":"Christopher L Hunt, György M Lévay, Megan C Hodgson, Damini Agarwal, Rahul R Kaliki","doi":"10.57922/mec.2517","DOIUrl":"10.57922/mec.2517","url":null,"abstract":"<p><p>While the number of individuals with partial hand limb loss is ten times greater than all other upper limb amputation categories combined, the state of available technology for this underserved patient population is relatively poor. Even though studies report preference towards myoelectric partial hand prostheses, patient adoption of myoelectric devices has been stunted by the limitations of the only control methodology commercially available, direct control. To address this challenge, we suggest the novel application of the <i>Glide</i> myoelectric control strategy to individuals with partial hand limb loss. In this work, we describe preliminary investigations with two individuals with partial hand limb loss, one with standard, intrinsic musculature of the residual hand and another who has undergone state-of-the-art surgical interventions.</p>","PeriodicalId":521135,"journal":{"name":"Myoelectric Controls and Upper Limb Prosthetics Symposium","volume":"2024 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12863436/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146115504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Miriam R Rafferty, Paulo Aco, Kristi L Turner, Laura A Miller, Blair A Lock, Zachary A Wright
{"title":"BARRIERS AND FACILITATORS TO ADOPTING A CLINICIAN DASHBOARD SUPPORTING UPPER LIMB MYOELECTRIC-CONTROLLED PROSTHESES.","authors":"Miriam R Rafferty, Paulo Aco, Kristi L Turner, Laura A Miller, Blair A Lock, Zachary A Wright","doi":"10.57922/mec.2516","DOIUrl":"10.57922/mec.2516","url":null,"abstract":"<p><p>Integrating the use of myoelectric-controlled upper limb prostheses into daily life can be complex. A dashboard reporting data and insights on real-world prosthetic use and performance could improve information available for clinicians to inform care, as well as communication among end-users (prosthesis wearers) and their clinical care providers. The purpose of this project is to blend implementation science and user-centered design methodology to inform the development and refinement of a dashboard that improves efficiency and supports clinical decision-making related to prosthesis training and clinical support. We used a mixed methods approach with a stakeholder advisory panel, semi-structured interviews, and surveys from occupational therapists, prosthetists, end-users, and other technology stakeholders. Interviews reveal clinician and end-user concern related to design, adaptability of the platform to meet the needs, capability, and opportunity of the clinicians, as well as to address motivation of end-users. The dashboard may improve communication but also could create work infrastructure challenges that make the dashboard have a relative disadvantage over other forms of communication. Surveys suggest good usability, acceptability, appropriateness, and feasibility. However, occupational therapists, the primary target population, have the lowest perceived usability and feasibility scores at the current point of dashboard design and conceptualization. In summary, mixed methods data from clinicians and prosthesis wearers provides valuable information that can drive improved development of a dashboard.</p>","PeriodicalId":521135,"journal":{"name":"Myoelectric Controls and Upper Limb Prosthetics Symposium","volume":"2024 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13374806/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148475800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Troy N Tully, Caleb J Thomson, Gregory A Clark, Jacob A George
{"title":"USER-SPECIFIC MIRROR TRAINING CAN IMPROVE MYOELECTRIC PROSTHESIS CONTROL.","authors":"Troy N Tully, Caleb J Thomson, Gregory A Clark, Jacob A George","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>State-of-the-art transradial prostheses can provide intuitive and proportional myoelectric control by training an algorithm to correlate surface electromyographic signals from the residual forearm muscles to intended movements of the amputated hand. One training paradigm, \"mimicked training,\" relies on amputees mimicking a prosthetic hand with their missing hand such that the corresponding muscle activations are correlated to the preprogrammed kinematics of the prosthetic hand. A second training paradigm, \"mirrored training,\" relies on unilateral amputees mirroring their contralateral hand with their missing hand such that the muscle activations are correlated to the kinematics of the contralateral hand (determined via a motion capture). Prior work with intact participants demonstrated that the kinematics of a given hand are more closely related to that of an individual's contralateral hand as opposed to the preprogrammed kinematics of a prosthesis. This abstract continues our investigation into the training data for myoelectric prostheses by exploring the impact of these training paradigms on real-time prosthetic control with amputees completing a functional task. For one out of three participants, mirrored training significantly improved task performance. These preliminary results demonstrate that mirrored training may provide more dexterous control through task-specific, user-chosen training data. These results can guide myoelectric training for proportional and dexterous control.</p>","PeriodicalId":521135,"journal":{"name":"Myoelectric Controls and Upper Limb Prosthetics Symposium","volume":"2022 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13061059/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147648834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Connor D Olsen, Troy N Tully, Eric S Stone, Nathaniel R Olsen, Gregory A Clark, Jacob A George
{"title":"AN INEXPENSIVE AND ADAPTABLE PROSTHETIC WRIST IMPROVES DEXTERITY AND REDUCES COMPENSATORY MOVEMENTS.","authors":"Connor D Olsen, Troy N Tully, Eric S Stone, Nathaniel R Olsen, Gregory A Clark, Jacob A George","doi":"10.57922/mec.1982","DOIUrl":"10.57922/mec.1982","url":null,"abstract":"<p><p>Many presently available prostheses lack a functional wrist. Here, we highlight the development of an inexpensive prosthetic wrist that can be adapted to work with various sockets and prostheses. Using this prosthetic wrist, we explore the functional and cognitive impact of using a prosthetic wrist to perform activities of daily living. We measured task performance, compensatory movements, and cognitive load while transradial amputees performed a Clothespin Relocation Task (CRT) using a prosthesis attached to the wrist controlled by surface electromyography (EMG). Three transradial amputees performed the task with and without EMG control of the wrist. In aggregate data, the success rate was significantly higher in the wrist condition (61% ± 9% mean, ± standard error) than in the no-wrist condition. Compensatory movements were also better; e.g., the maximum leftward bend at the hip was less in the wrist condition (18.9° ± 1.2°) than in the no-wrist condition (15.0° ± 1.4°). The addition of controlling a prosthetic wrist had no significant impact on cognitive load, as assessed by the NASA Task Load Index survey and the detection response time to a secondary task. This work suggests that using a prosthetic wrist may increase dexterity and reduce joint strain for amputees without requiring a significant increase in cognitive effort compared to that of EMG control of a hand alone. These results can guide future development and prescription of upper-limb prostheses.</p>","PeriodicalId":521135,"journal":{"name":"Myoelectric Controls and Upper Limb Prosthetics Symposium","volume":"2022 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13061090/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147648693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marshall A Trout, Taylor C Hansen, Connor D Olsen, David J Warren, Jacob L Segil, Jacob A George
{"title":"SHARED-CONTROL DECREASES THE PHYSICAL AND COGNITIVE DEMANDS OF MAINTAINING A SECURE GRIP.","authors":"Marshall A Trout, Taylor C Hansen, Connor D Olsen, David J Warren, Jacob L Segil, Jacob A George","doi":"10.57922/mec.1970","DOIUrl":"10.57922/mec.1970","url":null,"abstract":"<p><p>Upper-limb amputees commonly cite difficulty of control as one of the main reasons why they abandon their prostheses. Combining myoelectric control with autonomous sensor-based control could improve prosthesis control. However, the cognitive and physical impact of shared control and semi-autonomous systems on users has yet to be fully explored. In this study we introduce a novel shared-control algorithm that blends proportional position control predicted from electromyography (EMG) with proportional position control predicted from an autonomous machine using infrared sensors embedded in the prosthetic hand's fingers to detect the distance to objects. The user's EMG control is damped in proportion to the machine's prediction of an object's position in relation to a given finger. The shared-control algorithm was validated using three intact individuals completing a holding task where they attempted to hold an object for as long as possible without dropping it. Shared control resulted in fewer object drops, 32% less cognitive demand, and 49% less physical effort (measured by EMG) relative to the participant's EMG control alone. These results indicate that shared control can reduce the physiological burdens on the user as well as increase prosthetic control.</p>","PeriodicalId":521135,"journal":{"name":"Myoelectric Controls and Upper Limb Prosthetics Symposium","volume":"2022 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13061088/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147648734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"PROPORTIONAL ELECTROMYOGRAPHIC CONTROL OF A BIONIC ARM IN A PARTICIPANT WITH CHRONIC HEMIPARESIS, MUSCLE SPASTICITY, AND IMPAIRED RANGE OF MOTION: A CASE STUDY.","authors":"Caleb J Thomson, Jacob A George","doi":"10.57922/mec.1961","DOIUrl":"10.57922/mec.1961","url":null,"abstract":"<p><p>The long-term goal of this research is to restore intuitive and proportional motor control to stroke patients with an assistive exoskeleton. Stroke is the leading cause of disability in the United States, with 80% of stroke-related disability coming in the form of hemiparesis, presented as weakness or paresis on half of the body. Current electromyographic-(EMG)-controlled assistive exoskeletons do not allow for fine force regulation. That is, current control strategies provide only binary, all-or-nothing, control based on a linear threshold of EMG activity. In this case study with one hemiparetic stroke patient, we show that state-of-the-art EMG control algorithms can provide proportional control of a bionic arm despite weak and spastic muscle activity. The participant completed a virtual target-touching exercise with an EMG-controlled bionic arm by attempting to grasp (close) or extend (open) their hand. The participant completed the task under two conditions, with EMG from their paretic arm and with EMG from their healthy, contralateral arm. For grasping, there was no statistical difference in task performance for the paretic and healthy arms, but there was a significant decrease in the EMG signal-to-noise ratio for the paretic arm. For extension, there was a significant decrease in both task performance and EMG signal-to-noise ratio for the paretic arm. Despite these differences, the participant was still able to complete the target-touching task with the paretic arm. These preliminary results show it is possible, for at least some patients, to provide proportional control of assistive devices using weak and spastic EMG. Importantly, information regulating fine force output is still present in EMG despite a visually immobile arm due to hemiparesis. Future work will validate these findings with additional stroke patients with varying presentations of hemiparesis and move into controlling upper-limb exoskeletons.</p>","PeriodicalId":521135,"journal":{"name":"Myoelectric Controls and Upper Limb Prosthetics Symposium","volume":"2022 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13061094/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147648783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abigail R Citterman, Taylor C Hansen, Eric S Stone, Troy N Tully, Christopher M Baschuk, Christopher C Duncan, Jacob A George
{"title":"UNIVERSAL, LOW-COST TRANSRADIAL CHECK SOCKET FOR RAPIDLY VALIDATING MYOELECTRIC CONTROL.","authors":"Abigail R Citterman, Taylor C Hansen, Eric S Stone, Troy N Tully, Christopher M Baschuk, Christopher C Duncan, Jacob A George","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>The validation of myoelectric prosthetic control strategies for individuals experiencing upper-limb loss is hindered by the time and cost affiliated with traditional custom-fabricated sockets. Consequently, researchers often rely on virtual reality or robotic arms to validate novel control strategies, limiting end-user involvement. Here we present a multi-user, low-cost, 3D-printed transradial socket for short-term use that can be custom-fit and donned rapidly, used in conjunction with various electromyography configurations, and adapted for use with various residual limbs and terminal devices. The check socket was fabricated prior to participants' arrival, fitted by the researchers within ten minutes, and donned in under one minute. It accommodated multiple individuals and terminal devices, and its total cost of materials was under $10 USD. Across all participants, the socket did not significantly impede functional task performance or reduce the electromyography signal-to-noise ratio. The socket was comfortable enough for at least two hours of use. The development of this universal transradial check socket constitutes an important step towards increased end-user participation in advanced myoelectric prosthetic research.</p>","PeriodicalId":521135,"journal":{"name":"Myoelectric Controls and Upper Limb Prosthetics Symposium","volume":"2022 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13061031/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147648814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Monika Buczak, Brandon Baum, Connor Olsen, Jacob George
{"title":"DISENTANGLING SENSORY AND MOTOR DEFICITS OF FINE HAND FUNCTION USING AN ELECTRONIC GRIP GAUGE (EGG) TO SIMULATE TRANSFERRING FRAGILE OBJECTS.","authors":"Monika Buczak, Brandon Baum, Connor Olsen, Jacob George","doi":"10.57922/mec.1969","DOIUrl":"10.57922/mec.1969","url":null,"abstract":"<p><p>Evaluating hand dexterity is a critical aspect of assessing novel prosthetic technology and informing patient care. Current upper-limb dexterity assessments primarily target gross motor function and do not directly measure the ability of an individual to finely regulate their grip force. An increasingly popular test of fine motor function among researchers is a fragile-object test, in which participants are instructed to lift and transfer an object while minimizing their applied grip force. Here we present another instantiation of this fragile-object test, dubbed the electronic grip gauge (EGG). We use the EGG to quantify grip force and transfer rate for intact hands and myoelectric prostheses under three distinct conditions: 1) implicit grasping when transferring the object as fast as possible, 2) grasping when participants are instructed to minimize their grip force using endogenous tactile feedback and/or indirect sensory feedback, and 3) grasping when participants are instructed to minimize their grip force and have auditory feedback proportionate to their grip force. We show that a lack of tactile feedback is a significant reason for poor prosthetic control, as evidenced by significantly better prosthetic control with auditory feedback. We also show that even with supplemental auditory feedback, performance of the prosthetic hand was still substantially worse than the performance of the intact hand. These results suggest that artificial sensory feedback can improve prosthetic control, but that improvements in mechanical design and/or real-time control are also needed to replicate the dexterity of intact human hands.</p>","PeriodicalId":521135,"journal":{"name":"Myoelectric Controls and Upper Limb Prosthetics Symposium","volume":"2022 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13061104/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147648737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}