It’s Only Common Sense: AI Makes Preparation Easier and Excuses Harder
Happy’s Tech Talk #50: Start Your Digitalization Strategy With Automation
The Chemical Connection: A Few Things That Still Scare Me
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.
Page 2 of 2
