Disclosed is a computer program stored in a computer-readable storage medium for achieving the above-described objects. When the computer program is executed by one or more processors, the computer program causes the one or more processors to perform the following operations of generating video data for diagnosing a health condition and a pathological symptom on the basis of a biosignal. The operations include receiving a biosignal of a user, preprocessing the biosignal to generate a plurality of pieces of video sub-data, and selecting at least two of the plurality of pieces of video sub-data to generate one or more pieces of video data.

To be capable of efficiently transmitting appropriate information on the motion improvement to a person in motion. A motion evaluation system includes a sensor unit, an information processing device, and an information presentation device. The information processing device includes a communication device, a storage device, and an arithmetic device. The arithmetic device acquires motion data acquired by observing a user through the use of a sensor via the communication device, checks the motion data against information about the correctness of motions in the reference information, determines a state of motion of the user, specifies a motion in a state to be improved as an improvement, check the motion data after the motion corresponding to the improvement against information about busy levels of the user to specify a busy level of the user, and outputs, as improvement suggestion information about the improvement, information with different contents at each of multiple times to an information presentation device based on the improvement and a rule predetermined according to each situation of the busy level.

An example device for detecting one or more parameters of a cardiac signal is disclosed herein. The device includes one or more electrodes and sensing circuitry configured to sense a cardiac signal via the one or more electrodes. The device further includes processing circuitry configured to determine an R-wave of the cardiac signal and determine a previous RR interval of the cardiac signal and a current RR interval of the cardiac signal based on the determined R-wave. The processing circuitry is further configured to determine a search window based on one or more of the current RR interval or the previous RR interval, determine a T-wave of the cardiac signal in the search window, and determine a QT interval based on the determined T-wave and the determined R-wave.

An example device for detecting one or more parameters of a cardiac signal is disclosed herein. The device includes one or more electrodes and sensing circuitry configured to sense a cardiac signal via the one or more electrodes. The device further includes processing circuitry configured to determine an R-wave of the cardiac signal and determine whether the R-wave is noisy. Based on the R-wave being noisy, the processing circuitry is configured to determine whether the cardiac signal around a determined T-wave is noisy. Based on the cardiac signal around the determined T-wave not being noisy, the processing circuitry is configured to determine a QT interval or a corrected QT interval based on the determined T-wave and the determined R-wave.

A method for creating a mother wavelet function. The method includes preparing a plurality of vectors, extracting a kernel from the plurality of vectors, and extracting the mother wavelet function from the kernel. The kernel includes a mode value of a vector of the plurality of vectors.

A scoring method for exercise course is provided and includes: playing a course video, obtaining coach exercise data corresponding to the course video, and obtaining a coach window from the coach exercise data; obtaining user exercise data through an inertial measurement unit, and obtaining a user window from the user exercise data in which the length of the user window is longer than that of the coach window; finding a user segment of the user window that is most similar to the coach window; calculating an exercise score according to stabilities of the user segment and the coach window for a first exercise type; and calculating the exercise score based on the difference between the user segment and the coach window by a deduction mechanism for a second exercise type.

A method for detecting and predicting an epileptic seizure. The method includes preparing a plurality of electrical signals, extracting a plurality of patterns from the plurality of electrical signals, extracting a plurality of features from the plurality of electrical signals by applying the plurality of patterns on the plurality of electrical signals, optimizing the plurality of patterns and the plurality of features, and classifying each of the plurality of electrical signals in a plurality of classes by applying a plurality of classifiers on the plurality of features. The plurality of electrical signals include a plurality of samples. The plurality of classes include a seizure class and a non-seizure class, and the plurality of classifiers include a plurality of cascaded AdaBoost classifiers.

An apparatus for correcting an input signal is configured for receiving the input signal, the received input signal comprising a series of input values. The apparatus is configured for matching a series of template values to the series of input values by warping the series of template values and the series of input values relatively to each other so as to assign one or more template values to one or more input values, wherein the series of template values represents an approximation of a noise signal that is expected to be comprised in the input signal. The apparatus is configured for obtaining a series of corrected input values based on a mismatch between the input values and their respective assigned template values. The apparatus is configured for providing a corrected signal based on the series of corrected input values.

A human identifier system capable of distinguishing between multiple known people includes a first antenna and a second antenna. Particularly, the second antenna is operably selects the distance between to allow multiple people to walk, run or move between the antenna pairs. Additionally, the system also includes a radio frequency transmitter for generating multiple radio signals and a radio frequency receiver for receiving the transmitted radio signals. The system also includes a data processor operably connected to the radio frequency receiver with a processing means for processing the received signals from radio frequency receiver to provide output signals to identify a person walking, running or moving between the first antenna and the second antenna.

A system and method for detecting, amplifying, and sorting non-transitory signals stemming from cellular activity of tissue in an extracellular medium is presented herein. Weak signals are difficult to detect, especially when they originate far from the measuring electrode. The invention takes advantage of stochastic resonance, i.e. adding noise to signals to amplify them and make them more detectable, to improve signal detection from a single electrode.