Transhumeral amputation has a significant effect on person's independence and quality of life. Myoelectric prostheses have the potential to restore upper limb function, however their use is currently limited due lack intuitive natural control multiple degrees freedom. The goal this study was evaluate novel transhumeral prosthesis controller that uses combination kinematic electromyographic (EMG) signals recorded from proximal humerus. Specifically, we trained time-delayed artificial neural...

Functional electrical stimulation (FES), the coordinated activation of multiple muscles, has been used to restore arm and hand function in people with paralysis. User interfaces for such systems typically derive commands from mechanically unrelated parts body retained volitional control, are unnatural unable simultaneously command various joints arm. Neural interface systems, based on spiking intracortical signals recorded area motor cortex, have shown ability control computer cursors,...

Upper-limb amputation can cause a great deal of functional impairment for patients, particularly those with at or above the elbow. Our long-term objective is to improve outcomes patients by integrating fully implanted electromyographic (EMG) recording system wireless telemetry that communicates patient's prosthesis. We believe this should generate scheme will allow robustly control multiple degrees freedom simultaneously. The goal study evaluate feasibility predicting dynamic arm movements...

Inertial and magnetic sensors are valuable for untethered, self-contained human movement analysis. Very recently, complete integration of inertial sensors, processing into single packages, has resulted in miniature, low power devices that could feasibly be employed an implantable motion capture system. We developed a wearable sensor system based on commercially available system-in-package sensor. characterized the accuracy measuring 3-D orientation-with without magnetometer-based heading...

Intuitively and efficiently controlling multiple degrees of freedom is a major hurdle in the field upper limb prosthetics. A virtual reality myoelectric transhumeral prosthesis simulator has been developed for cost-effectively testing novel control algorithms devices. The system acquires EMG commands residual kinematics, simulates dynamics, displays combined movements environment that includes force-based interactions with objects. Box Block Test demonstrated. Three normally-limbed subjects...

Abstract Background Modern prosthetic hands are typically controlled using skin surface electromyographic signals (EMG) from remaining muscles in the residual limb. However, electrode performance is limited by changes impedance over time, day-to-day variations placement, and relative motion between electrodes underlying during movement: these limitations require frequent retraining of controllers. In presented study, we used chronically implanted intramuscular to minimize effects thus create...

Implantable motor neuroprostheses can restore functionality to individuals with neurological disabilities by electrically activating paralyzed muscles in coordinated patterns. The typical design of neuroprosthetic systems relies on a single multi-use device, but this limits the number stimulus and sensor channels that be practically implemented. To address limitation, modular neuroprosthesis, "Networked Neuroprosthesis" (NNP), was developed. NNP system is first fully implanted...

Abstract Background Limitations in upper limb prosthesis function and lack of sensory feedback are major contributors to high abandonment rates. Peripheral nerve stimulation intramuscular recording can restore touch relay motor intentions for individuals with loss. Percutaneous systems have enabled significant progress implanted neural interfaces but require chronic lead maintenance unwieldy external equipment. Fully sensorimotor without percutaneous leads crucial advancing neuroprosthetic...

The paralysis resulting from spinal cord injury severely limits voluntary seated-posture control and increases predisposition to a number of health risks.We developed verified musculoskeletal model the hips lumbar spine using published data.We then used select optimal muscles for-and evaluate likely functional recovery benefit of-an 8channel seated-posture-control neuroprosthesis based on electrical stimulation (FES).We found that model-predicted muscle set included erector spinae, oblique...

Abstract Background Current commercial prosthetic hand controllers limit patients’ ability to fully engage high Degree-of-Freedom (DoF) hands. Available feedforward rely on large training data sets for controller setup and a need recalibration upon prosthesis donning. Recently, an intuitive, proportional, simultaneous, regression-based 3-DoF remained stable several months without retraining by combining chronically implanted electromyography (ciEMG) electrodes with K-Nearest-Neighbor (KNN)...

Objective.Brain-machine interfaces (BMIs) have shown promise in extracting upper extremity movement intention from the thoughts of nonhuman primates and people with tetraplegia. Attempts to restore a user's own hand arm function employed functional electrical stimulation (FES), but most work has restored discrete grasps. Little is known about how well FES can control continuous finger movements. Here, we use low-power brain-controlled (BCFES) system volitional positions monkey temporarily...

Implantable motor neuroprosthetic systems can restore function to individuals with significant disabilities, such as spinal cord injury, stroke, cerebral palsy, and multiple sclerosis. Neuroprostheses provide restored functionality by electrically activating paralysed muscles in coordinated patterns that replicate (enable) controlled movement was lost through injury or disease. It is important consider the general topology of implanted system itself. The authors demonstrate wired multipoint...

Abstract Objective . We intend to chronically restore somatosensation and provide high-fidelity myoelectric control for those with limb loss via a novel, distributed, high-channel-count, implanted system. Approach. have developed the Somatosensory Electrical Neurostimulation Sensing (iSens®) system support peripheral nerve stimulation through up 64, 96, or 128 electrode contacts recording from 16, 8, 0 bipolar sites, respectively. The rechargeable central device has Bluetooth® wireless...

As the development of dexterous prosthetic hand and wrist units continues, there is a need for command interfaces that will enable user to operate these multi-joint devices in natural, coordinated manner. In previous work, we have demonstrated it possible simultaneously decode kinematics from myoelectric signals recorded forearm an offline The goal this study was quantify performance interface during real-time control kinematic prosthesis. One subject with intact limbs controlled virtual...

ABSTRACT Brain-machine interfaces have shown promise in extracting upper extremity movement intention from the thoughts of nonhuman primates and people with tetraplegia. Attempts to restore a user’s own hand arm function employed functional electrical stimulation (FES), but most work has restored discrete grasps. Little is known about how well FES can control continuous finger movements. Here, we use low-power brain-controlled (BCFES) system volitional positions monkey temporarily paralyzed...

Objective: A current biomedical engineering challenge is the development of a system that allows fluid control multi-functional prosthetic devices through human-machine interface. Here we probe this by studying two subjects with trans-radial limb loss as they virtual hand and wrist using 6 or 8 chronically implanted intramuscular electromyographic (iEMG) signals. The successfully controlled 4, 5, Degrees Freedom (DoF's) systems to perform target matching task. Approach: Two were evaluated...