‘Bionic eye’ helps blind man see again after 33 years (VIDEO)
Larry Hester, 66, was blind for 33 years before scientists at Duke University, in North Carolina, switched on the device.
As the “eye” was switched on, Hester jumped from the shock initially, before his face broke into a persistent smile and his wife, Jerry, rushed over to him to share his joy. “Can you really see?” she said, adding: “Can I give him a kiss?”
Hester became only the seventh person in the US to have the eye – and he expressed his good fortune to his doctors.
“I just wonder how I have been so lucky,” he said. “Why me? But if I can use what I learn from this to help others with RP, it will not just be for my benefit.”
Both Larry and Jerry Hester had lost hope of any improvements in Larry’s eyesight until Jerry found an article in a magazine last year.
“We've lived all these years without having any hope of any change so when I saw it, I was very, very excited,” she said.
He had the “eye” implanted several weeks ago. However, his first “lesson” on how to use it began on Monday morning.
The Argus II Retinal Prosthesis System (‘Argus II’) received FDA
approval in February 2013.
The bionic eye uses wireless technology, through which a sensor is implanted in the eye to pick up light signals sent from a camera mounted on special eyeglasses, Duke University said in a statement.
The mini video-camera in the glasses worn by the patient connects to a sensor which completely bypasses any damaged photoreceptors in the patient’s brain.
The treatment’s success was described upon the granting of FDA approval on the department’s website.
“Results of the clinical study showed that the System helped subjects: identify the location or movement of objects and people; recognize large letters, words, or sentences; and helped in other activities of daily life, such as detecting street curbs and walking on a sidewalk without stepping off,” the FDA noted.
Hester will be receiving follow-up lessons on how to incorporate the device into his day-to-day life to the greatest effect, “learning to discern shapes and objects from the flashes generated by the device,” Duke said in its statement.