AIMC Topic: Quadriplegia
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Depth-sensor-based shared control assistance for mobility and object manipulation: toward long-term home-use of BCI-controlled assistive robotic devices.
Journal of neural engineering
Feb 14, 2025
Assistive robots can be developed to restore or provide more autonomy for individuals with motor impairments. In particular, power wheelchairs can compensate lower-limb impairments, while robotic manipulators can compensate upper-limbs impairments. R...
Remote Tongue-Based Control of a Wheelchair Mounted Assistive Robotic Manipulator and the Effect of Adaptive Semi-Automation.
IEEE transactions on bio-medical engineering
Jan 15, 2025
Increasing the independence of individuals with tetraplegia is a challenging task. One potential solution is to allow for use of an assistive robotic manipulator (ARM), when solving tasks in personal and remote space. There is a lack in available con...
Identification of Spared and Proportionally Controllable Hand Motor Dimensions in Motor Complete Spinal Cord Injuries Using Latent Manifold Analysis.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Oct 9, 2024
The loss of bilateral hand function is a debilitating challenge for millions of individuals that suffered a motor-complete spinal cord injury (SCI). We have recently demonstrated in eight tetraplegic individuals the presence of highly functional spar...
A Multimodal Assistive-Robotic-Arm Control System to Increase Independence After Tetraplegia.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jun 7, 2024
Following tetraplegia, independence for completing essential daily tasks, such as opening doors and eating, significantly declines. Assistive robotic manipulators (ARMs) could restore independence, but typically input devices for these manipulators r...
Robotic locomotor training in a low-resource setting: a randomized pilot and feasibility trial.
Disability and rehabilitation
Aug 22, 2023
PURPOSE: Activity-based Training (ABT) represents the current standard of neurological rehabilitation. Robotic Locomotor Training (RLT), an innovative technique, aims to enhance rehabilitation outcomes. This study aimed to conduct a randomized pilot ...
Short report: surgery for implantable brain-computer interface assisted by robotic navigation system.
Acta neurochirurgica
May 23, 2022
We present an implantable brain-computer interface surgical case assisted by robotic navigation system in an elderly patient with tetraplegia caused by cervical spinal cord injury. Left primary motor cortex was selected for implantation of microelect...
Development and feasibility of a soft pneumatic-robotic glove to assist impaired hand function in quadriplegia patients: A pilot study.
Journal of bodywork and movement therapies
Apr 2, 2021
One of the common disorders in people with quadriplegia is having a weak grip strength that can affect activities of daily living (ADL). This study presents the design of a soft robotic glove via pneumatic actuators and feasibility according to a ran...
Performance Analysis of a Head and Eye Motion-Based Control Interface for Assistive Robots.
Sensors (Basel, Switzerland)
Dec 14, 2020
Assistive robots support people with limited mobility in their everyday life activities and work. However, most of the assistive systems and technologies for supporting eating and drinking require a residual mobility in arms or hands. For people with...
A system for bedside assistance that integrates a robotic bed and a mobile manipulator.
PloS one
Oct 16, 2019
Various situations, such as injuries or long-term disabilities, can result in people receiving physical assistance while in bed. We present a robotic system for bedside assistance that consists of a robotic bed and a mobile manipulator (i.e., a wheel...
SpikeDeeptector: a deep-learning based method for detection of neural spiking activity.
Journal of neural engineering
Jul 23, 2019
OBJECTIVE: In electrophysiology, microelectrodes are the primary source for recording neural data (single unit activity). These microelectrodes can be implanted individually or in the form of arrays containing dozens to hundreds of channels. Recordin...
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