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Elghoul, Anthony Ziad

A5093280339 | I1330342723

Mayo Clinic

Mayo Clinic

Citations 2

Smart Driving Technology for Non-Invasive Detection of Age-Related Cognitive Decline

Sensors | December 18, 2024 | Volume: 24 | Issue: 24 | Pages: 8062

10.3390/s24248062 | PMID 39771798

Alzheimer’s disease (AD) and Alzheimer’s Related Dementias (ADRD) are projected to affect 50 million people globally in the coming decades. Clinical research suggests that Mild Cognitive Impairment (MCI), a precursor to dementia, offers a critical window of opportunity for lifestyle interventions to delay or prevent the progression of AD/ADRD. Previous research indicates that lifestyle changes, including increased physical exercise, reduced caloric intake, and mentally stimulating activities, can reduce the risk of MCI. Early detection of MCI is challenging due to subtle and often unnoticed cognitive decline and is traditionally monitored through infrequent clinical tests. In this research, the Smart Driving System, a novel, unobtrusive, and economical technology to detect early stages of neurodegenerative diseases, is presented. The system comprises a multi-modal biosensing array (MMS) and AI algorithms, including driving performance and driver’s biometrics, offering insights into a driver’s cognitive function. This publication is the first work reported towards the ultimate goal of developing the Smart Driving Device and App, integrating it into vehicles, and validating its effectiveness in detecting MCI through comprehensive pilot studies.
An aerosol barrier system as an emerging technology for reducing airborne pathogens during singing

No container title available | November 17, 2023 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-3617743/v1

Abstract In the initial stages of the COVID-19 pandemic, it became evident that singing carried a substantial risk of virus transmission. Consequently, new regulations were implemented to safeguard the population, and the adoption of singing masks emerged as a pivotal measure to curb the spread of COVID-19 during vocal performances. However, the discomfort and impediment to sensory expression caused by these masks posed significant challenges, particularly for individuals whose passions or professions revolved around singing. This study shows a novel solution to address these issues: the Aerosol Barrier System for Singing. The system features a transparent screen with an Impactor-Fan-Filter. The Impactor-Fan-Filter (IFF) is integrated into the transparent screen and strategically positioned within 1.5 feet of the singer's face. We demonstrated that the system effectively reduces the dispersion of aerosols generated during singing by over 99%. In addition, comparative sound analysis indicated that the system minimizes interference with sound waves, ensuring the preservation of sound quality. Furthermore, the transparent screen offers an unobstructed view of the singer, enhancing the overall performance experience. Our system adheres to several crucial criteria for an effective solution tailored to the needs of singers: it prioritizes safety and comfort, upholds sound quality, and facilitates an unrestricted view of the singer's entire face for the benefit of the audience, conductors, and ensemble members.