Entries by Azita Emami

Neural Interfaces

Neural interfaces are generally categorized as systems which enable direct communication between the cortex and an external device. Such systems could be used for monitoring and treating neurological disorders like epilepsy, studying and treating neurodegenerative disorders and also for allowing tetraplegic patients to control neuroprosthetic devices. Neural Interfaces will play a vital role in restoring sensory function, communications, and control in impaired humans. Designing low-power circuits and efficient algorithms are essential parts of making these systems robust and wearable.

Adaptive Deep Brain Stimulation for Parkinson Disease

Team Members: Taige Wang, Maha Shoaran, Benyamin A. Haghi Parkinson’s disease (PD) is the second most common neurodegenerative disorder after Alzheimer’s, with a growing patient population of over 6 million globally. PD mainly affects the motor system, resulting in movement impairments such as muscle rigidity, resting tremor and akinesia. In the early stage, levodopa medication […]

Closed-Loop Seizure Control

Team Members: Mahsa Shoaran, Benyamin A. Haghi, Milad Taghavi, Masoud Farivar Epilepsy is a common neurological disorder affecting over 50 million people in the world. Approximately one third of epileptic patients exhibit seizures that are not controlled by medication. Despite substantial innovations in anti-seizure drug therapy, the proportion of patients with uncontrolled epilepsy has not […]

Brain-Machine Interfaces

Team Members: Benyamin A. Haghi, Sahil Shah, Spencer Kellis from Richard Andersen’s lab. In the United States, there are about 17,700 new cases per year of Spinal Cord Injury (SCI). SCI results in a partial or total loss of motor function. Brain-Machine Interfaces (BMI) have the potential to increase independence and improve quality of life […]