An adaptive bio-signal feature combining apparatus includes: a feature extractor configured to extract first feature values and second feature values from a bio-signal of an object; a stable interval determiner configured to determine at least one stable interval in the bio-signal; a statistical variable calculator configured to calculate a statistical variable value of a first feature and a statistical variable value of a second feature for each of the at least one stable interval based on the first and second feature values extracted from the at least one stable interval; and a feature combiner configured to calculate an integrated combining coefficient that is used to combine the first feature and the second feature, based on the statistical variable value of the first feature and the statistical variable value of the second feature.

An adaptive bio-signal feature combining apparatus includes: a feature extractor configured to extract first feature values and second feature values from a bio-signal of an object; a stable interval determiner configured to determine at least one stable interval in the bio-signal; a statistical variable calculator configured to calculate a statistical variable value of a first feature and a statistical variable value of a second feature for each of the at least one stable interval based on the first and second feature values extracted from the at least one stable interval; and a feature combiner configured to calculate an integrated combining coefficient that is used to combine the first feature and the second feature, based on the statistical variable value of the first feature and the statistical variable value of the second feature.

A device and a method are provided for detecting and monitoring cutaneous diseases, wherein the device includes an image acquisition component adapted to acquire medical images of at least one portion of skin affected by a cutaneous disease, sensors adapted to detect physical conditions of the portion of skin and/or environmental conditions around the portion of skin, and to generate pathology data representing the physical conditions and/or the environmental conditions, memory for storing data in digital form, and a processor configured for a) reading the pathology data detected by the sensors and the medical images acquired by the image acquisition component, and b) storing the pathology data and the medical images into the memory.

A device and a method are provided for detecting and monitoring cutaneous diseases, wherein the device includes an image acquisition component adapted to acquire medical images of at least one portion of skin affected by a cutaneous disease, sensors adapted to detect physical conditions of the portion of skin and/or environmental conditions around the portion of skin, and to generate pathology data representing the physical conditions and/or the environmental conditions, memory for storing data in digital form, and a processor configured for a) reading the pathology data detected by the sensors and the medical images acquired by the image acquisition component, and b) storing the pathology data and the medical images into the memory.

This system for identifying information represented by biological signals is configured so as to detect biological signals (S501), analyze the detected biological signals and then output feature data (S502), determine the respective similarities between the feature data and a plurality of teaching data (S503), store the similarities per time in a time series (S504), and determine information represented by the biological signals on the basis of the plurality of similarities within a prescribed period among the stored similarities in the time series (S505).

A system for control of a device includes at least one sensor module detecting orientation of a user's body part. The at least one sensor module is in communication with a device module configured to command an associated device. The at least one sensor module detects orientation of the body part. The at least one sensor module sends output signals related to orientation of the user's body part to the device module and the device module controls the associated device based on the signals from the at least one sensor module.

The present invention provides a neurological disorders decision support system that can assist an examiner to diagnose an examinee. The neurological disorders decision support system includes a user module, a screening module, an intelligent calculation module and a diagnosis module. The user module sends an inquiry to the examinee, receives a response message from the examinee, and retrieves a physiological characteristic signal of the examinee. The screening module executes a neurological examination application program to indicate to the examinee to obtain physiological characteristic signals. The screening module outputs response messages and physiological characteristic signals for the intelligent calculation module to execute an algorithm to generate an analysis report. The analysis report assists the examiner for diagnosis, and sends a diagnosis notification to the user module through the diagnosis module. The invention also provides a neurological disorders decision support method.

The present invention provides a neurological disorders decision support system that can assist an examiner to diagnose an examinee. The neurological disorders decision support system includes a user module, a screening module, an intelligent calculation module and a diagnosis module. The user module sends an inquiry to the examinee, receives a response message from the examinee, and retrieves a physiological characteristic signal of the examinee. The screening module executes a neurological examination application program to indicate to the examinee to obtain physiological characteristic signals. The screening module outputs response messages and physiological characteristic signals for the intelligent calculation module to execute an algorithm to generate an analysis report. The analysis report assists the examiner for diagnosis, and sends a diagnosis notification to the user module through the diagnosis module. The invention also provides a neurological disorders decision support method.

The present disclosure provides a non-transitory computer program product embodied in a computer-readable medium and, when executed by one or more analysis modules, providing a visual output for presenting physiological signals of a cardiovascular system. The non-transitory computer program product comprises a first axis representing, subsets of intrinsic mode functions (IMF); a second axis representing a function of signal strength in a time interval; and a plurality of visual elements, each of the visual elements being defined by the first axis and the second axis, and each of the visual elements comprising a plurality of analyzed data units collected over the time interval. Wherein each of the analyzed data units comprises a first coordinate, a second coordinate, and a probability density value generated from an intrinsic probability density function of one of the subsets of IMFs.

The present disclosure provides a non-transitory computer program product embodied in a computer-readable medium and, when executed by one or more analysis modules, providing a visual output for presenting physiological signals of a cardiovascular system. The non-transitory computer program product comprises a first axis representing, subsets of intrinsic mode functions (IMF); a second axis representing a function of signal strength in a time interval; and a plurality of visual elements, each of the visual elements being defined by the first axis and the second axis, and each of the visual elements comprising a plurality of analyzed data units collected over the time interval. Wherein each of the analyzed data units comprises a first coordinate, a second coordinate, and a probability density value generated from an intrinsic probability density function of one of the subsets of IMFs.