Abstract: Data samples derived from raw physiological data captured by sensors of a wearable medical device monitoring a patient's heart, such as a first ECG channel data sample, a second ECG channel data sample, and/or a cardio-vibrational data sample, are applied to a multi-tier machine learning engine to determine a cardiac condition measure traditionally calculated based upon information typically derived in a laboratory or clinical setting. A first tier of the multi-tier machine learning engine may analyze the physiological data sample(s) using first machine learning classifier(s) to obtain a first result. The first result may then be applied to second machine learning classifier(s) of a second tier of the machine learning engine, along with physiological metrics and/or patient clinical information, to determine the cardiac condition measure.

Abstract: A monster detection assembly includes a detection unit that may be coupled to a support surface, such as a wall or a ceiling in a child's bedroom. The detection unit selectively emits light outwardly therefrom to simulate a detection sequence for monsters and other fictional characters in the child's bedroom. A remote unit is provided and the remote unit is manipulated by a child when the child is in bed. The remote unit is in wireless communication with the detection unit. The detection unit generates the detection sequence when the remote unit is manipulated. Additionally, the remote unit selectively emits audible sounds when the detection unit generates the detection sequence. In this way the remote unit confirms to the child that no monsters were detected thereby soothing the child.

Abstract: A method and system for setting image analysis parameters to control image analysis operations. The method and system include collecting set of digital training images including a set of states for the set of digital training images. An objective function is defined to determine a relative quality of plural different parameter sets used for digital image analysis. Values for the plural different parameter sets that maximize (or minimize) the objective function are determined. The method and system increases a usability of high content screening technologies by reducing a required level of expertise required to configure digital image processing.

Abstract: The invention provides a method for a method for determining a best initial focal position estimate for a current sample location on a substrate comprising multiple sample locations, comprising determining the best initial focal position estimate by using a result from one or more techniques selected from the group consisting of linear regression analysis of focal positions determined for at least two other sample locations on the substrate and quadratic regression analysis of focal positions determined for at least three other sample locations on the substrate.

Abstract: The invention provides a method for a method for determining a best initial focal position estimate for a current sample location on a substrate comprising multiple sample locations, comprising determining the best initial focal position estimate by using a result from one or more techniques selected from the group consisting of linear regression analysis of focal positions determined for at least two other sample locations on the substrate and quadratic regression analysis of focal positions determined for at least three other sample locations on the substrate.