University of Minnesota SALSA

Free

2.0.1for iPhone, iPad and more

Regents of the University of Minnesota

Developer

15.6 MB

Size

Sep 29, 2022

Update Date

Medical

Category

Age Rating

App Store Developer Website

Age Rating

Apps in this category do not contain restricted content.

Apps in this category may contain mild or occasional cartoon, fantasy or real-life violence, as well as occasional or mild adult, sexually suggestive or horrifying content and may not be suitable for children under 9 years of age.

12+

Apps in this category may contain occasional mild indecent language, frequent or intense cartoon or real-life violence, minor or occasional adult or sexually suggestive material, and simulated gambling, and may be for children under 12 years of age.

17+

You must be at least 17 years old to access this App.

Apps in this category may contain frequent and intense offensive language; Frequent and intense cartoon, fantasy or realistic violence: frequent and intense adult, scary and sexually suggestive subjects: as well as sexual content, nudity, tobacco, alcohol and drugs, may not be suitable for children under 17 years of age.

University of Minnesota SALSA Screenshots

iPad

iPhone

About University of Minnesota SALSA

SALSA (System for Automated Language and Speech Analysis) is an application for administering and collecting the results of cognitive test batteries such as picture description, picture naming, spontaneous narrative, and verbal fluency. The results of such tests can be assistive in assessment of conditions that affect cognition, including neurodegenerative disease and neurotoxic medications.

SALSA is designed for test administrators, and allows for selection of the project, subject, and visit before allowing the test administrator to hand off the device to a subject to respond to visual and audio stimuli.

SALSA uses a web service to administrate projects, subjects, and tests. The web service also receives the recordings made in tests in order to perform processing to determine analysis results.

This work was supported in part by grants from NIH – NINDS (R01NS076665), Alzheimer’s Association (DNCFI-12-242985), Geoffrey Beene Foundation Alzheimer’s Disease Challenge, and the University of Minnesota Academic Health Center Faculty Development Grant.