113 results about "Biological information processing" patented technology

In order to acquire a suitable fingerprint image by correcting an elongated fingerprint image, a line sensor acquires fingerprint image as a plurality of line-shaped images. A computation unit computes a similarity value by use of an evaluation function for evaluating the degree of similarity between the line-shaped images. The similarity value represents the degree of similarity between a first line-shaped image and a second line-shaped image which serve as a similarity evaluation target and are included in the plurality of the line-shaped image. A compression unit compresses the first line-shaped image and the second line-shaped image when the similarity value is equal to or larger than a predetermined threshold value to generate a new line-shaped image. A generation unit generates the entire fingerprint image by combining the new line-shaped image with the other line-shaped images.

In a system and method for managing growth and development of a user, e.g., a child, the system includes a biological information measuring module for acquiring at least two biological signals to be used for analyzing growth and development of the user, and for identifying the user by analyzing at least one biological signal of the at least two acquired biological signals and a biological information processing module for evaluating a development state and a growth level of the user according to the biological signals, for storing and managing personal data and the results of the evaluation of the user.

A biological information processing apparatus obtains a pulse wave signal indicating a pulse wave of a subject, and acceleration measured according to body motion of the subject and calculates an amount of body motion of the subject using the acceleration. By using at least one of the body motion amount and the acceleration, the apparatus approximates a heart rate of the subject and sets a parameter to be used for detection of a pulse interval using the heart rate. Then, the apparatus detects each pulse interval using a pulse waveform indicated by the pulse wave signal and the parameter.

A biometric information processing device has a heart rate detection unit that detects the heart rate of a subject; a relative heart rate calculation unit that calculates a relative heart rate, which is the relative value of the heart rate to the prescribed resting heart rate of the subject; a relative oxygen intake calculation unit that calculates a relative oxygen intake based on the relative heart rate; an oxygen intake estimation unit that estimates the oxygen intake from the relative oxygen intake; and a calorie expenditure calculation unit that calculates calorie expenditure based on the oxygen intake.

The invention discloses an unsupervised learning method of handwritten digit identification. The method comprises the following steps: firstly, establishing a spiking neural network model, and determining the connection mode between neurons according to an analog biological information processing mechanism; secondly, establishing a spiking time dependent plasticity model according to the synaptictrace learning rules; and finally, optimizing the pre-synaptic initial weight and the synaptic delay in the spiking neural networks by using a genetic algorithm, training and testing the MNIST (MixedNational Institute of Standards and Technology database) data set, thus achieving the unsupervised learning of handwritten digit identification. According to the unsupervised learning method of handwritten digit identification, experiments show that the training speed is effectively improved and the recognition accuracy is improved.

The invention provides a biological information processing device, including: a measuring unit that measures the pulse rate of a test subject; a detector that detects a body motion of the test subject; a computation unit that computes an intensity of exercise performed by the test subject using a result of detection by the detector; a first estimation unit that estimates an estimated pulse rate using the exercise intensity computed by the computation unit; and a controller that controls so that the pulse rate from a result of the measurement is displayed in an instance in which measurement by the measuring unit is possible, and the estimated pulse rate estimated by the first estimation unit is displayed in an instance in which measurement by the measuring unit is not possible.

A bio-information processing apparatus includes a single bio-information sensor for outputting a biological signal including a plurality of measured bio-information values of a subject, an analyzing circuit for analyzing the biological signal separating the bio-information values, and a circuit for estimating the psychological state and intensity of the psychological state of the subject from measured bio-information values included in a plurality of biological signals and from one of initial bio-information values and reference bio-information values.

A biological information processing system includes a pulse wave information acquisition unit that acquires pulse wave information of a user; and a processing unit that instructs an alarm control unit to perform alarm cancellation when it is determined that the user has transitioned from a sleep state to an awakened state, on the basis of the pulse wave information.

A biological information processing system includes a pulse wave information acquisition unit that acquires pulse wave information of a user, and a processing unit that determines a sleep state of the user on the basis of the pulse wave information and instructs an alarm control unit to perform an alarm notification based on a notification mode according to the sleep state.

The invention provides a vehicle starting method and device based on driver identity authentication. The vehicle starting method includes the steps that the a vehicle using request sent by a client isreceived, the vehicle using request carries target user identity identification, if the fact that a user is a legal authorized user according to the target user identity identification is determined,target user biological identification information corresponding to the target user identity identification is obtained from the corresponding relationship between pre-stored user identity identification and user biological identification information, the user biological identification information collected by a biological information processing terminal arranged on a target vehicle is received, and the target user biological identification information is sent to the biological information processing terminal of the target vehicle, so that the target vehicle is controlled to be started when the biological information processing terminal judges the fact that the collected user biological identification information is matched with the target user biological identification information. According to the vehicle starting method and device based on the driver identity authentication, the identity of a driver can be verified, and the problem of traffic safety caused by the fact that an illegal authorized user drives the vehicle is prevented.

The invention provides a biological information processing method for analyzing circulating tumor DNA (deoxyribonucleic acid). The method includes 1), performing cfDNA extraction, database creating and sequencing; 2), performing sequencing-data quality control and sequencing comparison; 3), performing sequencing data correction; 4), using two pieces of software to simultaneously perform gene mutation detection on the sequencing data corrected in the step 3) and summing and integrating analysis results of the software; 5), establishing a mutant trusted data set by the aid of a sequence corrected in the step 3) and using the data set to provide credibility support to a mutation result acquired in the step 4). The ctDNA in the cfDNA is taken as a detection object, detection can be performed by only collecting a small amount of peripheral blood of a subject, and conciseness and convenience in sample collection are achieved.

A biological information processing system includes a processor including hardware. The processor performs: acquisition processing in which pulse wave information is acquired; processing in which analysis processing on the pulse wave information is performed to generate analysis result information; and output processing in which the analysis result information that is generated is outputted. The processor generates the analysis result information for identifiably displaying a pulse wave abnormality period detected on the basis of the analysis processing and for displaying at least one of action information, psychological state information, external environment information and location information of a user.

The invention is applied in the field of computers, and provides a computer system and an identification method and an identification device for a computer user. The method comprises the following steps of: driving a biological information processing chip during power-on automatic detection of a basic input output system (BIOS), controlling the computer system to enter a protected state after the power-on automatic detection of the BIOS is completed and before a start file of an operating system is read, and generating an identification command; responding to the identification command by the biological information processing chip, acquiring the biological information of the computer user, and comparing the acquired biological information with the biological template information pre-stored in the biological information processing chip to generate a biological information comparison result; and releasing the protection of the computer system according to the comparison result, reading the start file of the operating system and starting the operating system, or keeping the protected state of the computer system. According to the embodiment of the invention, the security of the computer system can be greatly improved.

A noise reduction processing circuit of the disclosure includes an adaptive filter that receives, as an input signal, a body motion signal that is filtered on a basis of a transfer function, that is calculated by modeling an influence of body motion on a blood flow, and a subtractor that outputs an error signal obtained by subtracting an output value of the adaptive filter from an observed signal.

A pulsimeter 1 includes: a pulse rate measurement unit 110 which detects a measured pulse rate 750 about a living body of a subject; a moving rate calculation unit 120 which detects moving rate information about a movement of the subject; a reliability determination unit 160 which determines whether the reliability of the measured pulse rate 750 is high or low on the basis of a predetermined criterion; a storage unit 700 which stores a user-specific pulse estimation table 780 showing a correlation between the pulse rate and the moving rate information in association with the subject; and a table update unit 170 which updates the user-specific pulse estimation table 780. If the reliability determination unit 160 determines that the reliability of the measured pulse rate 750 is high, the table update unit 170 updates the user-specific pulse estimation table 780.

The invention relates to a quantitative analysis method for influences of attack risk factors of the type 2 diabetes on the blood sugar, and belongs to the fields of bioinformation processing and medicine. The method comprises the steps of using C4.5 and EM clustering algorithms to realize the selection of important attack risk factors firstly; then dividing all the crowd according to the gender and age; using a BP neural network algorithm to calculate the sensitivity of a specific crowd; and finally realizing the quantitative analysis of the influences of multiple factors on the blood sugar based on the sensitivity. Compared with a great quantity of conventional statistic methods, the invention adopts the data mining method, mutual influences among the multiple factors are considered fully, meanwhile, the quantitative analysis of the influences of the multiple factors on the blood sugar is realized in the specific crowd, the quantitative analysis accuracy is improved greatly, and a determination method can be provided for refining intervention of individual attack. The quantitative analysis method can be used for intervention instruction for the individual type 2 diabetes attack, not only can the attack be prevented or delayed, but also the method can be applied and popularized to the quantitative analysis of other disease risk factors.

This biological information processing device is provided with: a peak detection unit for detecting the peaks of a biological signal generated in a cardiac cycle; a waveform clipping unit for clipping out a first peak-to-peak biological signal between two peaks, which are adjacent on the time axis of the biological signal, on the basis of detection results of the peak detection unit; and a resampling unit for transforming the first peak-to-peak biological signal to a second peak-to-peak biological signal for a prescribed number of samples. The biological information processing device is further provided with: an orthogonal transformation unit for generating orthogonal transformation coefficients by performing an orthogonal transformation on the second peak-to-peak biological signal; a differential processing unit for generating a differential signal for the orthogonal transformation coefficients on the time axis; and an encoding unit for encoding the differential signal.

A biological-information processing apparatus includes a plurality of filters that detects a biological signal including a pulse wave component and a body motion noise component, detects a body motion signal correlated to the body motion noise component, and separates the pulse wave component and the body motion noise component included in the biological signal on the basis of the body motion signal. The filters have different filter characteristics. The biological-information processing apparatus calculates, for each of the filters, a correlation coefficient between the body motion signal and at least one of the pulse wave component and the body motion noise component and determines, on the basis of the correlation coefficient, as a pulse wave signal, the pulse wave component separated using any one filter.

In a biological information processing apparatus, a variation index value calculation section calculates a variation index value on the basis of a plurality of measured values obtained by measuring biological information of a subject. A display data generation section generates display data which is used to display a measurement result and undergoes identification display corresponding to the variation index value.