Fernando Mora Ciangherotti | St. George's University (original) (raw)

Fernando Mora Ciangherotti

I am an educator, researcher, writer with a basic training in engineering and graduate degrees in Biomedical Engineering. Through the years I have pursued others fields such as information management, digital health, sociology and theology.

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Papers by Fernando Mora Ciangherotti

Research paper thumbnail of Knowledge-based approach to the management of serious arrhythmia in the CCU

Medical and Biological …, Jan 1, 1991

Research paper thumbnail of MONITORING INTELLIGENT ET UNITE DE SOINS INTENSIFS POUR CORONARIENS: CONNAISSANCES ET INTERFACES

Research paper thumbnail of Applying vowel sounds to command support systems for motor-impaired people

Medical and Biological …, Jan 1, 1987

Abstract A novel approach to low-cost microprocessor-based speech analysis and processing has bee... more Abstract A novel approach to low-cost microprocessor-based speech analysis and processing has been developed. Real-time Spanish vowel recognition accuracy of 98-76 per cent with an average time response of 200 ms in a noisy room is possible with very simple hardware and software. The voice-recognition method can be implemented in any commercially available 8-bit microprocessors. Also, the adjustment of the system to match other users vocal characteristics is easily performed. The voicerecognition system has ...

Research paper thumbnail of Knowledge-based approach to the management of serious arrhythmia in the CCU

Medical and Biological …, Jan 1, 1991

Research paper thumbnail of MONITORING INTELLIGENT ET UNITE DE SOINS INTENSIFS POUR CORONARIENS: CONNAISSANCES ET INTERFACES

Research paper thumbnail of Applying vowel sounds to command support systems for motor-impaired people

Medical and Biological …, Jan 1, 1987

Abstract A novel approach to low-cost microprocessor-based speech analysis and processing has bee... more Abstract A novel approach to low-cost microprocessor-based speech analysis and processing has been developed. Real-time Spanish vowel recognition accuracy of 98-76 per cent with an average time response of 200 ms in a noisy room is possible with very simple hardware and software. The voice-recognition method can be implemented in any commercially available 8-bit microprocessors. Also, the adjustment of the system to match other users vocal characteristics is easily performed. The voicerecognition system has ...

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