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A Java speech implementation of the Mini Mental Status Exam.

S S Wang¹, J Starren

¹Department of Medical Informatics, Columbia University, New York, New York, USA.

Proceedings. AMIA Symposium

|November 24, 1999

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This study developed an automated Mini Mental Status Exam (MMSE) using Java Speech Application Programming Interface (JSAPI). Preliminary results suggest it

Area of Science:

Medical technology
Computer science
Speech recognition

Background:

The Mini Mental Status Exam (MMSE) is a standard tool for assessing cognitive function.
The Java Speech Application Programming Interface (JSAPI) offers cross-platform speech recognition and synthesis capabilities.

Purpose of the Study:

To evaluate the suitability of JSAPI for interactive patient interview applications.
To develop and test a JSAPI implementation of the MMSE.

Main Methods:

Developed a JSAPI-based MMSE application using Java platform 2.
Integrated the JSAPI with the IBM ViaVoice recognition engine.
Utilized the MMSE's varied question structures to test JSAPI performance.

Main Results:

Related Experiment Videos

The varied question structures of the MMSE served as an effective testbed for JSAPI.
Preliminary usability studies were conducted on the automated MMSE application.

Conclusions:

An automated MMSE, developed using JSAPI, shows potential as a useful screening tool.
This technology could aid in detecting cognitive disorders and changes through interactive interviews.