A5007320871- Muscle activation and electromyography studies
- EEG and Brain-Computer Interfaces
- Neuroscience and Neural Engineering
- Tactile and Sensory Interactions
- Motor Control and Adaptation
Shanghai Jiao Tong University
2022-2024
Abstract Current bionic hands lack the ability of fine force manipulation for grasping fragile objects due to missing human neuromuscular compliance in control. This incompatibility between prosthetic devices and sensorimotor system has resulted a high abandonment rate hand prostheses. To tackle this challenge, we employed neuromorphic modeling approach, biorealistic control, regain human-like ability. The control restored muscle regulation stiffness adaptation using reflex units, which was...
Abstract Current bionic hands lack the ability of fine force manipulation for grasping fragile objects due to missing human neuromuscular compliance in control. This incompatibility between prosthetic devices and sensorimotor system has resulted a high abandonment rate hand prostheses. To tackle this challenge, we employed neuromorphic modeling approach, biorealistic control, regain human-like ability. The control restored muscle regulation stiffness adaptation using reflex units, which was...
Background Advanced prosthetic hands may embed nanosensors and microelectronics in their cosmetic skin. Heat influx cause damage to these delicate structures. Protecting the integrity of hand becomes critical necessary ensure sustainable function. This study aims mimic sensorimotor control strategy human perceiving nociceptive stimuli triggering self-protective mechanisms investigate how similar neuromorphic implemented can allow amputees both volitionally release a hot object upon warning...
Sensory feedback provides critical interactive information for the effective use of hand prostheses. Non-invasive neural interfaces allow convenient access to sensory system, but they communicate a limited amount information. This study examined novel approach that leverages direct and natural afferent pathway, enables an evoked tactile sensation (ETS) multiple digits in projected finger map (PFM) participants with forearm amputation non-invasively. A bidirectional prosthetic interface was...
Objective: Human neuromuscular reflex control provides a biological model for compliant hand prosthesis. Here we present computational approach to understanding the emerging human-like compliance, force and position control, stiffness adaptation in prosthetic with replica of human reflex. Methods: A virtual twin was constructed MuJoCo environment tendon-driven anthropomorphic structure. Biorealistic mathematic models muscle, spindle, spiking-neurons monosynaptic were implemented neuromorphic...
In this paper, a novel prototype of cable-driven prosthetic hand with biorealisitic muscle property was developed. A pair antagonistic muscles controlled the flexion and extension index finger. Biorealistic properties were emulated using neuromorphic model reflex in real time. The output coupled to servo motor that tracked computed force. able track within frequency range from 0 8.29 (Hz) phase shift 2 205 (deg). Surface electromyography signals collected amputee's forearm used as α commands...
The ability of a novel biorealistic hand prosthesis for grasp force control reveals improved neural compatibility between the human-prosthetic interaction. primary purpose here was to validate virtual training platform amputee subjects and evaluate respective roles visual tactile information in fundamental tasks. We developed digital twin tendon-driven prosthetic MuJoCo environment. Biorealistic controllers emulated pair antagonistic muscles controlling index finger by surface...
This study develops biomimetic strategies for slip prevention in prosthetic hand grasps. The system is driven by a novel sensor, followed perception and preventive control. Here, we show that biologically inspired sensorimotor pathways can be restored between the users. A Ruffini endings-like sensor used to detect shear forces identify events directly. information grip force are encoded into bi-state sensory coding evokes vibration buzz tactile sensations subjects with transcutaneous...
Grasping hot objects may be harmful, and a warning of nociceptive temperature should provided to prevent prosthetic hands from damage. This study developed fast algorithm predict the steady state grasped based on thermoresistant sensor, verified bi-state sensory encoding strategy inform either contact force or at finger. Below threshold, buzz percept was used encode fingertip force, above tingling pain sensation induced warn harmful temperature. mechanism tested in one able-bodied subject...
In this paper, the ability of precision control fingertip forces was investigated in an antagonistic cable-driven prosthetic hand with neuromorphic twin muscles. Surface electromyography (sEMG) signals collected from able-bodied subjects' forearm were processed and used as alpha motor commands to drive muscle models. A pair muscles cascaded by two servo motors index finger. Force performance tested pressing a spring fixed stiffness using fingertip, where varying target levels regulated...