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Machine learning, a subdiscipline in the field of artificial intelligence (AI), focuses on algorithms capable of learning and/or adapting their structure (e.g., parameters) based on a set of observed data, with adaptation done by optimizing over an objective or cost function. OleaSense™ utilizes advanced machine learning and statistical pattern recognition technologies which have been the subject of tremendous interest in the biomedical community because they offer promise for improving the sensitivity and/or specificity of detection and diagnosis of disease, while at the same time increasing the objectivity of the decision-making process.

 

The OleaSense™ demo displays our advanced software development platform which processes real-time data from the OS-3010 detailing the use of real-time cardiac signal processing, advanced peak detection algorithms, real-time respiration signal processing and extracts vital sign statistics such as real-time heart-rate variability. Below is a mobile-friendly video of the OleaSense™ Demo.