Cae Inc.

Cae Healthcare Canada Inc.

Laurent Desmet

Maxime Ayotte

Marc-Andre Giguere

Yannick Perron

A training platform, a method and a computer-readable medium for evaluating users in capturing images of an internal anatomical region for the analysis of organs. Automated machine learning models, trained on a dataset of labelled training images associated with different imaging device positions, are used. The one or more automated machine learning models are used to process an image resulting from a user positioning an imaging device at various imaging device positions relative to a training manikin, a human or an animal, to determine whether the generated image corresponds to a predefined view required for the analysis of the organ features shown therein. An output indicative of whether the generated image corresponds to the predefined view expected for organ analysis and measurements is provided.

System and method for evaluating the performance of a user in capturing an ultrasound image of an anatomical region

A method for generating sound within a predetermined environment, the method comprising: emitting a first audio signal from a first location; and concurrently emitting a second audio signal from a second location, wherein: the first location and second location are distinct within the environment; the first audio signal and second audio signal have the same frequency; and the first audio signal and second audio signal have a phase difference that varies as a function of time to limit the time-averaged interference fluctuation across the environment.

Method and system for limiting spatial interference fluctuations between audio signals

A method for determining an actual position of a microphone, comprising: sequentially emitting a first sound signal via a first speaker positioned and a second sound signal via a second speaker positioned; measuring a first elapsed time between the emission of the first sound signal and a detection of the first sound signal by the microphone, and a second elapsed time between the emission of the second sound signal and a detection of the second sound signal by the microphone; determining a first distance between the first speaker and the microphone using the first elapsed time, and a second distance between the second speaker and the microphone using the second elapsed time; determining the actual position of the microphone using the first and second distances and the positions of the first and second speaker; and outputting the actual position.

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Saint-Laurent, Canada

Laurent Desmet