ASPIRE Asthma Sensing Predictive Intuitive Respiratory Ealert Monitor

Project Abstract:

There is an unmet need for a device to automatically detect the onset of an asthma attack Current monitoring technologies are manual subjective and not continuous Moreover while inhaled corticosteroids are the preferred longterm treatment for asthma these drugs have known significant adverse effects especially in children Surprisingly there is currently no way to monitor the effectiveness of medication with the goal to adjust for the minimal dosage required The ability to reduce the number and severity of incidences of asthma attacks that would require an inhaler doctor or hospital visit would result in significant cost savings to insurers and patients We have developed a proprietary sensor plus app and crowd sourced mapping solution to detect monitor and prevent asthma attacks Because asthma is the most common chronic disease of children and 75 of asthmatic attacks occur at night an automated and continuous monitor that would detect an attack at its earliest onset before it gets progressively worse would save lives and significant health care costs

Program:

NCAI

Disease Area:

Lung

Project Completion Status:

Completed

Center Hub:

UC-CAI

Indication:

Asthma

University/Institution:

UC Irvine

Technology:

Health information technology

Startup Name:

Contact:

Elvira Liclican [email protected]