Agonist-Antagonist Myoneural Interface for Functional Limb Restoration After Transtibial Amputation

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BACKGROUND: Loss of limb profoundly impacts a person's health, productivity, independence, and quality of life. However, state-of-the-art medical and prosthesis technologies fall short of offering seamless human-device communication to those who require limb amputation. Ongoing, interactive efforts ...

BACKGROUND: Loss of limb profoundly impacts a person's health, productivity, independence, and quality of life. However, state-of-the-art medical and prosthesis technologies fall short of offering seamless human-device communication to those who require limb amputation. Ongoing, interactive efforts to advance amputation surgery techniques and develop novel "bionic" prostheses and prosthetic control systems are underway in an effort to address this interfacing challenge and thereby improve clinical outcomes within the population of amputees. We recently reported on the results of a first-in-human trial in which a prototype bionic prosthesis was tested in a recipient of a modified transtibial amputation. The modified amputation procedure involved the surgical construction of agonist-antagonist myoneural interfaces (AMIs) within the residual limb, where each AMI comprised two muscles - an agonist and an antagonist - connected in series. To enable the force produced by one muscle to cause stretch of its partner, "pulleys" were also constructed from the medial and lateral tarsal tunnels, including segments of each tunnel's native tendons, that were procured from the distal amputated limb and affixed to the residual limb tibia. The two AMIs were constructed via coaptation of the tibialis anterior and lateral gastrocnemius muscles to either end of the tendon portion passing through the proximally positioned tarsal tunnel, and coaptation of the tibialis posterior and peroneus longus muscles to either end of the tendon passing through the distally positioned tunnel. Following rehabilitation, this first recipient of the "AMI transtibial amputation" tested the feasibility of using his surgically constructed AMIs to control a prototype bionic prosthesis. The bionic prosthesis allowed motion in two degrees of freedom through independent actuation of powered ankle and subtalar joints, and the control algorithm allowed electromyography (EMG)-modulated control over prosthetic joint position and joint impedance. Functional testing involved linking the proximal and distal AMIs within the participant's residual limb to the prosthetic ankle and subtalar joints through the use of surface EMG electrodes, intramuscular fine-wire electrodes, and functional electrical stimulation. The results of performance testing in this first AMI recipient suggested that AMIs can provide a biological tissue interface that can potentially offer a person with an amputation intuitive motor control of the affected limb and a bionic prosthesis while also enabling proprioception. The unique biomimetic tissue architecture of the AMI recapitulates a dynamic, mechanically functional muscle-tendon-muscle linkage that inherently provides mechanoreceptive biological sensors. Consequently, the AMI tissue architecture inherently preserves natural, bi-directional communication between surgically reconstructed limb musculature and the central nervous system, thereby building on and offering advantages over previously described neural interfacing approaches such as targeted muscle reinnervation (TMR), regenerative peripheral nerve interfaces (RPNIs), and peripheral nerve interfaces. Additionally, the surgical design implemented in the AMI transtibial amputation preserves the native innervation and vascularization for each nerve and muscle component, thereby offering a more robust, viable surgical construction than either TMR or RPNI, which instead rely upon the less robust regenerative processes of reinnervation and revascularization for long term viability. Long term functionality of the AMI is facilitated by the incorporation of autologous tarsal tendon and tunnel components, eliminating the need for either allogeneic grafts or synthetic implant materials. By providing a platform for robust efferent decoding of movement intent, as well as usable afferent feedback from a prosthetic joint, the AMI transtibial amputation paradigm has the potential to reinstate the human central nervous system as the primary mediator of prosthetic joint control. STUDY OVERVIEW: The goal of this clinical trial is to evaluate the efficacy of the AMI transtibial amputation. STUDY POPULATION: This study calls for twenty-two healthy, active participants with transtibial amputations: an experimental group of participants who received AMI transtibial amputations, and a control group of participants who received standard transtibial amputations. Each participant in the control group is prospectively matched to a participant in the experimental group to the degree possible based on time since amputation, body habitus, age, and biological sex. As the population of lower limb amputees consists of participants of all genders and ethnicities, and since it is not practical to attempt to match all aspects of this variation in the context of a small study, this study aims to reflect the variation in the population of amputees to the degree possible. EXPERIMENTAL SESSIONS: Biomedical data are collected from study participants in the Biomechatronics space within the MIT Media Lab in Cambridge, MA. Experimental group participants attend five or six sessions, with four sessions lasting approximately 4 hours each and the other one or two session(s) lasting up to 8 hours. Control group participants attend four sessions lasting approximately 4 hours each. HYPOTHESIS: Surgically constructed AMIs within the amputated residuum can afford an improved independent control of joint position and impedance in a multi-degree-of-freedom prosthesis while also reflecting proprioceptive sensation from each prosthetic joint onto the central nervous system. SPECIFIC AIM 1: Motion Control in Free Space Aim 1 investigates if AMIs can improve voluntary free-space prosthetic control. Experimental and control group participants' capabilities for prosthetic control are evaluated and compared based on EMG and biomechanical measurements obtained during free-space voluntary movement tasks. In Aim 1A, data are collected using surface EMG sensors to characterize muscle activation, create maps specific to individual participants, and inform sensor requirements for subsequent aims. The data are obtained from a large number of EMG sensors that are distributed over participants' lower limbs. The participant is asked to move the phantom and/or biological foot through the ankle and subtalar joint spaces during data collection. Aim 1B explores if AMIs can improve motion control of a prosthesis that allows independent actuation of powered ankle and subtalar joint motions and EMG-modulated control over prosthetic joint positions and stiffnesses. Surface EMG data are obtained using a small number of sensors that are placed on participants' lower limbs at locations informed by the results of Aim 1A. Joint state data are collected from sensors on the prosthesis and other noninvasive sensors. Participants are asked to move their phantom ankle joints, in some cases mirroring specified motions of their unaffected limbs, in order to control the prosthesis. Performance tasks include pointing the prosthetic foot toward a specified position and stiffening the prosthetic joint to hold that position for a specified time interval. SPECIFIC AIM 2: Terrain Adaptation Aim 2 determines if AMIs can improve voluntary and involuntary (reflexive) prosthetic terrain adaptations. Experimental and control group participants' capabilities for prosthetic control are evaluated and compared based on EMG, biomechanical, and kinematic measurements that are obtained as they walk and traverse various terrains in a motion capture space. Surface EMG data are obtained using a small number of sensors that are placed on participants' lower limbs at locations informed by the results of Aim 1. Biomechanical data are collected from sensors on the prosthesis and sensors embedded in the terrain equipment. Kinematic data are collected wirelessly using a twelve-camera motion capture system. To facilitate kinematic data collection, reflective markers are affixed to the participant's clothes or skin to enable visualization and tracking of anatomical landmarks. Participants perform level ground walking and terrain adaptation tasks. One task involves navigating an obstacle presented in the participant's path during level ground walking. The task involves eversion of the prosthetic subtalar joint such that the lateral edge of the prosthetic foot contacts a vertically offset block while the medial edge of the prosthetic foot remains at the base height. Other tasks involve either descending or ascending stairs in sequential steps. SPECIFIC AIM 3: Human-Device Communication Aim 3 explores if AMIs can enable new possibilities for bi-directional human-device communication and provides data toward developing closed-loop prosthetic control strategies. Experimental group participants' capabilities to control prosthetic motion and their associated proprioceptive perceptions are investigated. EMG, ultrasound, biomechanical, and psychometric data are collected in the presence of varying levels of functional electrical stimulation (FES). The FES delivers a periodic stream of electrical pulses to target muscles in the participant's affected and unaffected limbs, causing contraction. One performance task involves an experimental pedal-pushing set-up. The participant is blindfolded and asked to plantar flex the phantom ankle joint, which causes the prosthetic ankle joint to press down on a foot pedal against mechanical resistance. Participants are also asked to plantar flex at varying effort levels and, in accordance with prosthetic sensor data resulting from each effort level, FES is applied to specific target muscles. Another task involves applying FES to specific target muscles in the affected limb and asking the participant to describe the perceived motions and forces and mirror these in the unaffected limb. In addition to participant responses, data are collected from fine-wire electrodes, surface EMG and other noninvasive sensors including an ultrasound imaging probe, and sensors on-board the prosthesis. Fine-wire FES and EMG electrodes are included in this study to reduce crosstalk that would interfere with the implementation of the prosthetic control strategy. The fine wire electrodes are placed by an experienced clinician in an acute setting; they do not remain in the limb. FES settings are kept within historically safe limits at all times. The FES begins at low intensity and is slowly increased until either the participant reports that a limit of comfortable stimulation has been reached or the historically safe limit is reached. The lower of these two values is established as a hard-stop reference for the FES setting.

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