A method, comprising applying a source separation technique to the time series of neuromuscular signals recorded by the plurality of neuromuscular sensors to obtain a plurality of neuromuscular source signals and corresponding mixing information; aligning the plurality of neuromuscular source signals to a plurality of template neuromuscular source signals, the aligning comprising: determining, using a cost function, a distance between first features and second features, the first features obtained from the plurality of neuromuscular source signals and/or the corresponding mixing information, the second features obtained from the template neuromuscular source signals and/or corresponding template mixing information; and identifying, based on results of the aligning and for each of one or more of the plurality of neuromuscular source signals, an associated set of one or more biological structures.

A computer-implemented method is provided that includes acquiring signals characterizing an operation condition of a first component of a first dynamic system, determining a phase space of the dynamic system by correlating the acquired signals and determining at least one of a time lag and mutual information of the correlated signals, determining features of the phase space of the acquired signals based on performing one of a density based process, an embedded dimension process, or a digital signal phase space topology process, training a fault detection model based on the determined features, and performing, based on the trained fault detection model, diagnostic testing on a second component of a second dynamic system to detect an operation condition fault of the second component.

Method for providing a description, graphical representation, and a graphical identification of specific operating patterns of quasi-periodic cyclic systems, such as, but not limited to, reciprocating combustion engines, rotary machines, or biological organs such as the heart is disclosed. The disclosure also relates to a method for calculating an indicator evaluating the heart health or condition of an individual, as well as for diagnosing and issuing prognoses relating to the functionality, pathology, or standard of health of a machine or organism equipped with a motor or organ that operates cyclically, and to provide a description, a compact graphical representation, and a graphical identification of specific operating patterns of dynamic systems, for example economic systems such as the stock market.

A method of reading a coupon channel that displays a test section pattern after being exposed to a target substance, the method uses a device having a computer readable memory, digital camera, logic assembly and user interface; providing a pixel target intensity profile; placing the coupon in the device and exposing the coupon channel to a test fluid mixture; automatically using the digital camera to take a digital image of the coupon channel test section after the exposure. The improvement in the method includes finding the contiguous set of pixels from the test section of the coupon channel that best matches the intensity profile of the target pattern representation and determining if this best match set of pixels exceeds a similarity threshold and in response to a best match set of pixels passing the similarity threshold, automatically providing a human perceptible indication that the target substance has been detected.

An image processing apparatus includes a first phase difference detector configured to detect two phase differences in a range that contains a phase difference that provides the highest correlation between a pair of image signals, a comparator configured to compare a signal representative of a matching degree when the pair of image signals have a first phase difference among the two phase differences, and a signal representative of a matching degree when the pair of image signals have a second phase difference among the two phase differences, a signal separator configured to separate a pair of signal components relating to a specific object from the pair of image signals, based on a comparison result by the comparator, and a second phase difference detector configured to detect a phase difference that provides the highest correlation between the pair of signal components separated by the signal separator.

Disclosed herein are methods and systems for detection and discrimination of optical signals from a densely packed substrate. There have broad applications for biomolecule detection near or below the diffraction limit of optical systems, including in improving the efficiency and accuracy or polynucleotide sequencing applications.

Systems and methods disclosed herein use one or more auxiliary time series to more accurately identify change points in a target time series. This involves receiving data for the target time series and one or more auxiliary time series, where the one or more auxiliary time series have a relationship with the target time series. A combined auxiliary time series is generated based on the relationship between the target time series and the one or more auxiliary time series and the change point is detected for the target time series based on the target time series and the combined auxiliary time series. In one embodiment, time series data is received on an on-going basis. Recent time series data for the target time series and the one or more auxiliary time series is identified and used to detect the change point. The change point can be detected without using time series data older than the recent time series data.

A gait pathology detection and monitoring system, and method using rotation, scale, and offset invariant dynamic time warping (RSOI-DTW).

Disclosed herein are methods and systems for detection and discrimination of optical signals from a densely packed substrate. These have broad applications for biomolecule detection near or below the diffraction limit of optical systems, including in improving the efficiency and accuracy of polynucleotide sequencing applications.

Systems and techniques for a sensor network for trick classification are described herein. A first data stream may be received from a first sensor array affixed to a first free-moving body of a sporting device. A second data stream may be received from a second sensor array affixed to a second free-moving body of the sporting device. A trick region of a predetermined length of the first data stream corresponding with an occurrence of a trick may be determined using data from the first data stream. The trick may be classified using a first set of data from the first data stream corresponding with the trick region and a second set of data from the second data stream. The second set of data may be obtained by aligning the trick region of the first data stream with the second data stream.