Recording/Sensing Neurotechnology for Medical Applications

Recording/Sensing Neurotechnology for Medical Applications To better diagnose and treat medical conditions it is often helpful to access and measure the state of the brain and the nervous system. For the case of neural recording, there are different types of signals that can be measured and that have been identified as viable proxies of brain and nervous system activity: namely, …

Transcranial Focal Stimulation Using Concentric Ring Electrodes.


October 2019

Walter G. Besio

• Statement of the challenge/opportunity: gaps, opportunities, and drivers

About 12 in 100 people worldwide, or 800 million, are suffering from neurological disorders such as epilepsy (having multiple recurrent seizures which are uncontrollable electrical activity of the brain), chronic pain, Parkinson’s Disease, etc. [1]. Around 450 million people worldwide are affected by psychiatric disorders [1]. Despite decades of research, new drugs, and advances in surgical therapy, 30% or more of the patients with epilepsy or psychiatric disorders do not respond to medical treatment or suffer from its severe side effects [2]. Epilepsy surgery and devices can control seizures in some patients with drug-resistant epilepsy but require advanced and often invasive diagnostic neurophysiology techniques. New solutions are needed for alternatives to drugs and to more invasive and expensive surgeries.

BIO(BRAIN)-X International Summer School.


October 2019

The 18th International Summer School on BIO(BRAIN)-X: Biocomplexity, Biodesign, Bioinnovation, Biomanufacturing and Bioentrepreneurship, sponsored by the NSF, the University of Houston Biomedical Engineering Department and technically co-sponsored by the IEEE Brain Initiative and the IEEE Engineering in Medicine and Biology Society, was held at the Chania Academy, Crete, June 9-15, 2019. This summer school was a continuation of previous summer schools. Twenty-five students and eight distinguished faculty attended the 18th summer school. The NSF, the IEEE Brain Initiative and the University of Houston co-sponsored 25 students.