Patent ID: 8620591

Claim:
A method for monitoring the health of a human, comprising: obtaining sensor data from a human; generating with a programmed microprocessor a plurality of features from said sensor data, characteristic of physiological health of said human; estimating with a programmed microprocessor values for said features characteristic of normal human physiology using a multivariate model, based on the values of said generated plurality of features; differencing with a programmed microprocessor the estimated values and the generated features to provide a set of residuals for the features, wherein each residual is the difference between the particular feature value expected according to said model, and the corresponding feature value generated from said sensor data; and determining with a programmed microprocessor a likelihood that said set of residuals is representative of a pattern of normal residuals, by using a Gaussian mixture model based on a set of normal residual reference patterns to approximate a probability distribution for normal residual patterns, and to compute said likelihood that said set of residuals belongs to the distribution, whereby said likelihood consolidates the behaviors of the individual residuals for each of the features into one overall index; and applying with a programmed microprocessor a test to said likelihood to render a decision whether the generated features are characteristic of normal physiological behavior to provide an early indication of deviation of the physiological health of said human from normal.