soft robotics

A Soft Robotic Actuator System for in vivo Modeling of Normal Pressure Hydrocephalus

A Soft Robotic Actuator System for in vivo Modeling of Normal Pressure Hydrocephalus
A Soft Robotic Actuator System for in vivo Modeling of Normal Pressure Hydrocephalus 740 416 IEEE Transactions on Biomedical Engineering (TBME)
This article demonstrates how soft robotic systems can be used to manipulate intracranial pressure and recapitulate pathological dynamics of cerebrospinal fluid to research brain disease such as hydrocephalus. read more
3-D Path-Following Control for Steerable Needles with Fiber Bragg Gratings in Multi-Core Fibers

3-D Path-Following Control for Steerable Needles with Fiber Bragg Gratings in Multi-Core Fibers
3-D Path-Following Control for Steerable Needles with Fiber Bragg Gratings in Multi-Core Fibers 789 444 IEEE Transactions on Biomedical Engineering (TBME)
This is the first study to demonstrate the safety and performance benefits of fiber Bragg gratings in multi-core fibers for autonomous steerable needle navigation, implemented here within a biologically inspired neurosurgical system. read more
HAILO: A Sensorised Hand Splint for the Exploration of Interface Forces

HAILO: A Sensorised Hand Splint for the Exploration of Interface Forces
HAILO: A Sensorised Hand Splint for the Exploration of Interface Forces 776 444 IEEE Transactions on Biomedical Engineering (TBME)
This study presents a wearable device for the monitoring of pressure and shear interaction between the hand and a thumb splint, enabling the assessment of disease characteristics in hand arthritis. read more

Brain-Computer Interface-based Soft Robotic Glove Rehabilitation for Stroke
Author(s)3: Nicholas Cheng, Kok Soon Phua, Hwa Sen Lai, Pui Kit Tam, Ka Yin Tang, Kai Kei Cheng, Raye Chen-Hua Yeow, Kai Keng Ang, Jeong Hoon Lim
Brain-Computer Interface-based Soft Robotic Glove Rehabilitation for Stroke 170 177 IEEE Transactions on Biomedical Engineering (TBME)
This paper presents the results of a study involving the use of a Brain-Computer Interface-based Soft Robotic Glove as a novel strategy in stroke rehabilitation. The technology uses the electroencephalogram signals from stroke patients to drive the assistive actions of the soft robotic glove to assist them in physically carrying out activities of daily living. The two-arm study showed prolonged improvements in FMA and ARAT scores although no significant intergroup differences were observed during the study. In addition, all of the patients in the BCI-SRG group also experienced a vivid kinesthetic illusion lasting beyond the active intervention period. read more
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