Technology-based Systems to Measure Dual-task (moto-cognitive) Performance as a Biomarker for Early Detection of Alzheimer’s disease

About This Study

The long-term goal of this study is to develop a sensor-based assessment (SBA) system that can assess cognitive decline and detect early stages of mild cognitive impairment (MCI) during individuals’ free-living condition. Such an SBA could enable an early intervention or prevention strategies to slow or even halt the progression of MCI to Alzheimer’s disease. The objective here is to develop accurate data analysis approaches of such SBA system to translate body movement and speech data to biomarkers that can identify individuals at risk for MCI.

Participation Eligibility

Age 21 or older from the general public
No cognitive impairment
Subjective cognitive impairment
Mild cognitive impairment
Any cause of dementia or neurodegenerative disease

Participation and questions regarding this study, contact:

Behnaz Ghoraani Ph.D.
Senior member of the Institute of Electrical and Electronics Engineers
bghoraani@fau.edu