61 results about "Biomedical information" patented technology

An apparatus for controlling emotion of a driver includes an emotion sensor unit configured to collect a biomedical signal from the driver, and generate biomedical information data based on the collected biomedical signal, a user memory unit configured to store driver information that includes biomedical signals for respective emotional states of the driver and a plurality of correspondence contents, and deliver the driver information and the correspondence content in response to a received request, and an emotion management unit configured to determine the emotional state of the driver from the driver information received from the user memory unit and the biomedical information data received from the emotion sensor unit, request a correspondence content corresponding to the determined emotional state of the driver from the user memory unit, and provide the driver with the content received from the user memory unit.

A prevention or intervention program for Metabolic Syndrome interposes a trusted mediator group between a seller of a biomedical product or service and provider-patient interactions in a healthcare setting, wherein the seller directly or indirectly engages the services of the trusted mediator group, and ordinarily for consideration. The trusted mediator group provides web-based resources on which there is an internet-implemented mechanism to motivate participation by both healthcare providers and patients pre-qualified on the basis of specified criteria as well as motivate changes in participant behavior regarding desirable disease prevention or intervention practices, thereby encouraging sales of the seller's biomedical product or service. Participants are motivated by that utilize indirect predictive motivators, as correlated to a patient's particular cognitive style type, exceptional credibility of biomedical information presented, or computed risk of developing future disease.

Provided is a film-type biomedical signal measuring apparatus configured in a such a way that a plurality of metallic thin film electrodes and a circuit unit are formed on a film-type piezoelectric element so as to easily attach the apparatus to the skin and an electrical signal as well as an electrical signal of a human body is simultaneously measured using the plurality of metallic thin film electrodes and the circuit unit. Accordingly, the film-type biomedical signal measuring apparatus simultaneously measures electrocardiogram (ECG) and ballistocardiogram (BCG) from the simultaneously measured electrical signal and vibration signal of the human body and extracts biomedical information of various types of health indexes such as a heart rate, a stress index, BCG, a blood pressure, an amount of physical activity, a respiration rate, and VO₂max from the two different biomedical signals.

A physical condition management system detects during-sleep biomedical information while the driver is sleeping and during-drive biomedical information while the driver drives a vehicle. A during-sleep physical condition information calculating section calculates during-sleep physical condition information from during-drive physical condition information and/or the during-drive biomedical information, and the during-sleep biomedical information. A during-drive physical condition information calculating section calculates the during-drive physical condition information from the during-sleep physical condition information and/or the during-sleep biomedical information, and the during-drive biomedical information. The sleep support operation is controlled according to the during-sleep physical condition information and the drive support operation is controlled according to the during-drive physical condition information. An information transmitting section transmits the during-sleep physical condition information and/or the during-sleep biomedical information to the during-drive physical condition information calculating section, and the during-drive physical condition information and/or the during-drive biomedical information to the during-sleep physical condition information calculating section.

An image array includes pixels, each representing an image-based feature value of a patient obtained from imaging. The array includes first and second dimensions. Pixels corresponding to a specific patient of a plurality of patients extend in the first dimension and pixels corresponding to a specific feature of a plurality of features extend in the second dimension. Patients represented in the image array are grouped into two or more groups. Each indicates a known condition, such that patients having a first and second conditions are respectively part of a first and a second group and are in a first and a second portion of the array, respectively. The groups are separately organized according to a selected feature. Patients of the first and second groups are respectively arranged in an order of values for the selected feature within the first and second portions.

The present invention relates to a system and method for simultaneously using and configuring one or more disposable transmitters. The system includes at least one single or multiple use disposable transmitter, a central station, and a receiver module. The transmitter is connected to a patient to gather and measure biomedical information. The transmitter transmits the biomedical information through the receiver module to the central station for processing, storage and display. Prior to use, each transmitter must be configured to work with the central station and the receiver module. This allows the users to configure the disposable transmitters relatively quickly and easily without needing advanced technical information. The inventive configuration also enables the operator to map a location on a monitor in the central station to a specific disposable transmitter and ultimately to a specific patient or location in the coverage area that is covered by the system.

An information retrieval system for biomedical information uses a supervised machine learning system to identify keywords to improve search efficiency. The supervised machine learning system may be trained using a set of clinical questions whose keywords have been extracted, for example, by trained individuals. Weighting of search terms in the document query process is based at least in part on keywords identification.

An integrated behavior database generation unit generates an integrated behavior database. The integrated behavior database correspondingly stores biomedical information and behavior relational information of a user. The biomedical information is detected by a sensor associated with the user's body. A behavior rule generation unit generates a behavior rule of the user by referring to the integrated behavior database. A message generation unit generates a message to urge the user to do an exercise by referring to the behavior rule. A message notice unit notifies the user of the message.

The invention relates to a three-dimensional imaging flow cytometer device, relating to the field of biological and medical optical apparatuses and aiming at solving the problems that the flow testing efficiency is influenced by low speed of a liquid flow when cells are scanned by an existing imaging flow cytometer device and a micro-objective is easily polluted by a sample flow and the service life of the micro-objective is influenced since the sample flow needs to directly contact the micro-objective, etc. A moving cell is synchronously imaged in two directions through two vertical imaging flow systems; the relative position distribution of the internal structure of the cell is extracted; and therefore, the three-dimensional structural image of the cell is obtained. A lateral scattering and fluorescence exciting laser light source illuminates at 45 DEG and is shared by a speed-measuring and focusing unit and an imaging unit. By means of three-dimensional cell imaging, the original position information of the internal structure of the cell is kept; the morphological description authenticity is better; and thus, the imaging flow cytometer is capable of obtaining more meaningful biomedical information.

The invention provides a biomedical event extraction method integrated with structured element recognition, and belongs to the technical field of biomedical information extraction. The biomedical event extraction method comprises the following steps of trigger word recognition based on PA online learning algorithm classification, structural element recognition based on a Viterbi algorithm and a PAonline learning algorithm, and joint event extraction based on the double-composition principle. By means of the extraction method, trigger word recognition, element recognition and double-composition operation can be conducted on a lot of biomedical literature to extract biomedical events. Word vectors and rich and effective features are added, so that the trigger word and element recognition performance is improved; by using structural element recognition, the precision of complex event extraction is improved; by using a joint event extraction system, cascading errors of a phased system areeliminated.

A Health Information Virtual Exchange (HIVE) BIOMED SYSTEM includes an originating exchange unit including circuitry configured to transmit, to a receiving exchange unit, a query request including predetermined query criteria, and receive, from the receiving exchange unit, patient metadata corresponding to a patient. The system also includes a receiving exchange unit including circuitry configured to aggregate protein-protein interaction data from a first service unit, wherein the aggregation includes determining corresponding data standards managed by the first service unit and receiving the protein-protein interaction data from the first service unit in the determined corresponding data standards. The receiving exchange unit can generate, in response to receiving the query request, the patient metadata corresponding to the patient, and transmit the patient metadata to the originating exchange unit.

The invention discloses an autism electroencephalogram signal classification device based on a resting-state brain network, belongs to the technical field of biomedical information, and particularly relates to a pattern classification method in the field of brain-computer interfaces. According to the device, autism is recognized and diagnosed from the three aspects of information entropy, power spectrum and brain function network, the most common electroencephalogram signal analysis method at the current research stage is included, an SPN filter is innovatively used for diagnosing the autism patient, and the accuracy rate is close to 100%. Particularly, by researching resting-state brain networks of autism children and normal children, the network topology difference of the autism childrenand the normal children is explored, and comparison with other various methods is performed, so that the pathology of autism is explored to a certain extent, and a reliable basis is provided for clinical diagnosis of autism.

The invention relates to the technical field of extraction and treatment of biomedical information, in particular to an independent feedback type stomach pace-making device. The independent feedback type stomach pace-making device comprises an MCU (Management Control Unit), a power supply device, a stomach electrical signal collecting module, a stomach electrical signal extracting and analyzing module, a stimulating signal judging module and a stimulating signal generating module. The independent feedback type stomach pace-making device provided by the invention obtains a corresponding stomach wriggling state by extracting a body surface stomach electrical signal and analyzing the information of amplitude, frequency, power, and the like of the signal and judges the generation of a simulating signal; and an electrode acts on a projecting area of the stomach of the surface of a human body, therefore, the relevance between the stomach electrical signal and the stomach pace-making signal is established, independent feedback type stomach pace making is realized.

With an ultrasonograph, medical information of a heart could not be accurately obtained as the cardiac apex of the heart could not be recorded clearly. A biomedical information measuring device capable of obtaining accurate medical information is created by measuring an apexcardiogram in M-mode using a linear probe, and improving a data processing device so as to establish an algorithm useful in accurate evaluation so as to solve the above problem.

A biomedical recognition system includes diagnostic image information obtained by taking an image of a patient, a workstation storing the diagnostic image information, and a display device for displaying the diagnostic image information. A sensor is provided for capturing a biomedical information of a doctor. A biomedical information recognition system is connected to the sensor and integrated in the workstation for comparing a previously registered biomedical information and the biomedical information captured by the sensor. A display device control system is provided for causing the display device to display a diagnostic image linked to the biomedical information if a comparing result indicates a correspondence between the previously registered biomedical information and the biomedical information captured by the sensor, and for causing the display device to discontinue a part of functions thereof if the comparing result indicates a non-correspondence between the information.

The invention relates to a method for measuring the electric-mechanical coupled relation of the gastric motility from the gastric impedance and gastric electric signal, belonging to the biomedical information extraction and process technical field. The synchronic gastric impedance signal and synchronic gastric electric signal are extracted and the correlation coefficient, synchronous coefficient, power variation coefficient and frequency variation coefficient of the two signals are analyzed, the electric-mechanical coupled relation is measure and the coupled relation between the gastric electric pacemaker signal and the gastric movement signal to provide the basis for the gastric motility evaluation.

Disclosed is a non-invasive biometric sensor including a light source, an organic photodetector, and a detector. The light source is configured to irradiate light in a desired (and/or alternatively predetermined) wavelength range to a body part. The organic photodetector is configured to sense the light in the desired (and/or alternatively predetermined) wavelength range in response to the light in the desired (and/or alternatively predetermined) range being transmitted through the body part. The detector is configured to determine biomedical information of the body part based on an amount of the light sensed by the organic photodetector.

The invention relates to the technical field of extracting and processing biomedical information, in particular to a combined type multi-output body surface gastric stimulation device and a using method thereof. The device comprises a data storage module (101), an AV (Audio/Video) decoder module (102), an electrogastrogram signal preprocessing module (103), a signal modulating and processing module (104), an electrode output module (105) and an audio output module (106). According to the invention, an audio signal is utilized for modulating an electrogastrogram signal, the modulated electrogastrogram signal is used to act on a human body, the audio signal is used to simultaneously and directly act on the human body, the audio signal obtained by hearing and the electrogastrogram signal sensed by touch sensation both carry audio information, the information sensed by the human body is combined type multi-output information, a patient not only obtains audio stimulation by hearing, but also perceives the audio information simultaneously by touching sensation, and thus a better therapy effect can be produced.

The invention relates to the technical field of biomedical information processing, and provides an adaptive control method for the limit deviation in a skin electrical signal testing. The adaptive control method comprises the steps as follows: a reference voltage B is set, and a testing electrode is applied to a human body; skin electrical signals A of the human body is picked up through the testing electrode under the action of the reference voltage B; the skin electrical signals A are amplified through a primary amplifying circuit so as to obtain amplified electrodermal response signals A1;the amplified electrodermal response signals A1 subtract the reference voltage B so as to obtain voltage difference C; the voltage difference C is processed through a secondary amplifying circuit so as to obtain amplified voltage difference C1; the amplified voltage difference C1 is processed through analog-to-digital conversion; in addition, the reference voltage B is regulated step by step if the absolute value of C1 is more than the threshold value V1 of a the circuit so as to lead the absolute value of A1 minus B is less than V1, or the reference voltage B and C1 are output or stored. Theinvention also provides an adaptive control device for the limit deviation in the skin electrical signal testing.