Johns Hopkins’ Sridevi V. Sarma, an assistant professor of biomedical engineering, has devised new seizure detection software that, in early testing, significantly cuts the number of unneeded brain-stimulation therapy that an epilepsy patient would receive.
According to Sarma, “These devices use algorithms—a series of mathematical steps—to figure out when to administer the treatment,” Sarma said. “They’re very good at detecting when a seizure is about to happen, but they also produce lots of false positives, sometimes hundreds in one day. If you introduce electric current to the brain too often, we don’t know what the health impacts might be. Also, too many false alarms can shorten the life of the battery that powers the device, which must be replaced surgically.” Continue reading