Robotic Glove Invented by NUS Team Helps Patients Restore Hand Movements
Robotic Glove Invented by NUS Team Helps Patients Restore Hand Movements
PR63070
SINGAPORE, Jan. 13, 2016 /PRNewswire=KYODO JBN/ --
Patients who have lost their hand functions due to injuries or nerve-related
conditions, such as stroke and muscular dystrophy, now have a chance of
restoring their hand movements by using a new lightweight and smart
rehabilitation device called EsoGlove developed by a research team from the
National University of Singapore (NUS).
The NUS team comprises Asst Prof Yeow, his clinical collaborator Dr Lim Jeong
Hoon from the NUS Department of Medicine, as well as PhD candidate Mr Yap Hong
Kai and undergraduate student Mr Benjamin Ang Wee Keong, who are both from the
NUS Department of Biomedical Engineering.
Greater comfort and convenience
Conventional robotic devices for hand rehabilitation consist of rigid
electromechanical components, which are heavy and uncomfortable for patients.
"EsoGlove is unique as it is made entirely of soft components and does not
require complicated mechanical setups. The main body of the glove is made of
fabric, with soft actuators embedded. It also has adjustable Velcro straps to
cater to different hand sizes," Asst Prof Yeow said.
EsoGlove is connected to a pump-valve control system that modulates the air
pressure which directs the soft actuators. When the actuators are pressurised
by air, they apply distributed forces along the length of the finger to promote
finger movements, such as bending, extending and twisting, to support different
hand motions. This novel method does not constrain the finger's natural
movements, unlike conventional devices that make use of rigid links and joints.
Each actuator also functions independently, providing assistance to each finger
separately.
The robotic glove can be applied in a table-top version for bedridden patients,
as well as a waist-belt version for patients who are mobile and recovering at
home.
Smart control and assistance
EsoGlove uses an intuitive control mechanism that involves the coupling of
electromyography and radio-frequency identification technologies. With this
feature, the robotic glove can detect a patient's intent to perform a hand
action on a particular object, such as picking up a pen or holding a mug. By
interpreting the muscle signals of the wearer, the robotic glove can help the
patient move the fingers to accomplish the specific tasks, involving objects of
various shapes and sizes, in an intuitive manner.
Said Dr Lim, who is also a Senior Consultant at the National University
Hospital's Division of Neurology, "With this unique approach, we can develop
therapeutic tools using safe and wearable robotic technology. Patients can take
the initiative in their own rehabilitative process, rather than being passive
recipients of therapists' intervention."
"As the soft actuators in the EsoGlove are made from non-ferromagnetic
materials, they are suitable for use in functional magnetic resonance imaging
studies. We hope that the robotic glove can contribute towards investigating
the brain's activity in relation to motor performance during hand
rehabilitation, and unravel the functional effects of soft rehabilitation
robotics on brain stimulation," added Mr Yap, who is also from the NUS Graduate
School for Integrative Sciences and Engineering.
Clinical studies and commercialisation
Asst Prof Yeow and his team plan to start pilot clinical studies at the
National University Hospital in February 2016 to validate the device's
performance, as well as to obtain patient and clinical feedback so as to
further refine the design of the device. The studies will take about six
months, involving 30 patients.
The team has also filed a patent for EsoGlove, and will start a spin-off
company to commercialise the device.
More information about the study:
https://news.nus.edu.sg/press-releases/9885-robotic-glove-by-nus
MEDIA CONTACT:
Carolyn FONG
National University of Singapore
DID: +65-6516-5399
Email: carolyn@nus.edu.sg
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SOURCE: National University of Singapore
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