| abstract |
A device (e.g. a mobile phone, smart watch, or wearable device such as glasses) monitors a subject e.g. by video Super-Pulse information is extracted, possibly using a decision tree, representing the best possible pulse wave excluding noise aberrations. The Super-Pulses are stable and repeatable digital volume pulses, characteristic of an individual and similar to a finger print. The Super-Pulse may be characterised by Gaussian coefficients, using minimisation of the difference between it and a suitable Gaussian, giving a unique vector value related for example to variable heart rate or vascular stiffness. A neural network may be trained to determine data from the Super-Pulse. Other bio-markers may be determined such as blood glucose, insulin resistance or blood pressure and the system is non-invasive. The effect of medications, functional foods, vitamins or exercise on baseline glucose or insulin resistance, or the efficacy of a prescribed routine, may be monitored. |