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Voice detection and automatic language selection for automated External Defibrillators

IP.com Disclosure Number: IPCOM000250148D
Publication Date: 2017-Jun-06
Document File: 1 page(s) / 84K

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Abstract

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TITLE: Voice detection and automatic language selection for automated External Defibrillators

Abstract

Voice detection and automatic language selection for automated External Defibrillators

The success rate of an Automated External Defibrillators (AED) heavily depends on time needed to

handle the device and understand the instructions given by it. In state of the art AED devices the

instructions are given in local language and on international airports mostly in English. A manual

language selection is more or less complex and used for configuration before taking the device into

operation.

This way it cannot be guaranteed that the instruction are understood easily and correct by the operator

which is a medical ordinary person in an extreme situation. The correct usage of an AED device improves

the actuarial survival rate by 35%.

Disclosed a novel system using an automatic language identification by analyzing the noise around the

device and detecting the language spoken. In case of different languages are detected it determines a

probability to be understood by the operator according a set of parameters (e.g. loudness, how many

different voices with the same language have been detected). Using this probability prioritization it asks

a simple question in the decided language like "Are you able to follow instructions in this language,

please answer Yes". In case of a positive answer the language for the following instructions is now

adjusted to the language spoken by the operato...