15 results about "Vital sign detection" patented technology

The application provides a radar-based vital sign detection method and device, a radar, and a storage medium. The method comprises: when a user is in bed, extracting the vital sign of the user based on the echo signal obtained by the radar in the detection of the surface area of the bed; if the vital sign in the current vital sign monitoring period is less than a preset vital sign threshold, obtaining the distance unit where the user is and the corresponding signal amplitude in the echo signal of the previous N calculation periods before the current vital sign monitoring period; if the distance unit where the user is in the echo signal of the previous N calculation periods before the current vital sign monitoring period continuously increases and the corresponding signal amplitude continuously decreases, it is determined that the user has a get-out-of-bed action, otherwise it is determined that the user does not have a get-out-of-bed action, and an alarm signal of the weak vital sign in the current frame is generated. Through the above method, the application can accurately distinguish between the two cases of getting out of bed and weak heartbeat, reduce the false alarm rate, and ensure the accuracy of vital sign detection.

The present application provides a kind of vital signs detection signal denoising method and device, it is related to physiological perception and signal processing technical field, including: based on millimeter wave radar's Doppler technique, obtains the original phase signal containing physiological signal;Original phase signal is carried out variational mode decomposition based on the search algorithm of variational mode decomposition super parameter optimization algorithm optimized by particle swarm optimization algorithm, obtain the vibration modal function information corresponding to the original phase signal;Wherein, the particle swarm optimization algorithm uses permutation entropy and fuzzy entropy as fitness function;After denoising processing is carried out to the vibration modal function, the vibration modal function after denoising processing is recombined, and high-precision denoising processing is obtained after physiological signal;From the high-precision denoising processing physiological signal, extract respiratory and heartbeat physiological signal.

The application discloses a sleep apnea detection method based on a millimeter wave radar, and relates to the technical fields of radar signal processing and vital sign detection.The method comprises the following steps: transmitting a detection signal to a target through a millimeter wave radar to obtain an intermediate frequency signal and a signal transformation matrix; calculating a dynamic energy change value based on the preprocessed signal transformation matrix, and determining a target distance bin of each frame according to a statistical result of the dynamic energy change value; determining whether the target is in a position stable state according to the discrete degree of the target distance bin of each frame in a preset time window; extracting a phase signal at the target distance bin of each frame in the window in the position stable state, obtaining a breathing signal waveform curve based on the phase signal, and detecting a sleep apnea event.The application can realize high-precision detection of the sleep apnea event under various complex conditions, and effectively solves the problems of unstable target locking, large noise interference and lack of distance adaptability in state determination.

This invention discloses a method for separating vital signs based on millimeter-wave radar signal enhancement, comprising the following steps: acquiring the original radar signal of the target being monitored by millimeter-wave radar and preprocessing it; extracting six types of features from the preprocessed signal and classifying the preprocessed signal into four scene categories based on the six types of features; according to the classified scene categories, calling the corresponding signal processing model to enhance or reconstruct the preprocessed signal to obtain the enhanced radar signal; performing signal quality assessment on the enhanced radar signal, and inputting the enhanced signal that meets the quality assessment requirements into a variational mode decomposition module to separate the respiratory and heartbeat signals of the target being monitored. This invention improves the accuracy of vital sign detection in complex environments by classifying millimeter-wave radar vital sign signals in complex scenes, adaptively calling the model to enhance the signal, and using variational mode decomposition to separate respiration and heartbeat.

Nonintrusive approaches for vital signs detection and tracking represent appealing methods for improving wellness in broad population ranges and detecting / monitoring health conditions among medical patients. Both industry and academia have shown significant interest in providing reliable contactless reading of vital signs using common video sensors and light modulation properties coming from blood circulation in human skin. Existing approaches propose solutions that can extract the heart rate signal from human faces; they also address the noise challenges from the environment with partial success. We aim to provide accurate heart rate readings from human subjects and human face in situations where temporary in-band noise from subject head motion and lightness changes may occur. Our contribution creates multiple reading channels and brings forth a detection—and tracking method that can efficiently cope with the noise, providing reliable heart-rate readings in stressful conditions. In addition, the method we propose does not rely on sophisticated AI blocks and is, thus, applicable for implementation on embedded and mobile devices with limited processing resources. We demonstrate the claim by implementing and running our method on several embedded and mobile platforms.

This invention discloses a dynamic gain-controlled optoelectronic hybrid neural network computing system for low-altitude UAV rubble search and rescue, comprising a UAV camera, a convolutional neural network preprocessing module, a dynamic range adaptive matching module, a matrix calculation mapping control module, a weighted DAC module, an optical matrix calculation chip, a scaling restoration module, and a convolutional neural network post-processing module. The system identifies weak feature regions and performs adaptive gain amplification through the dynamic range adaptive matching module. The matrix calculation mapping control module adapts the optical calculation format, the optical matrix calculation chip performs high-speed, low-power matrix operations, and the scaling restoration module restores the true signal amplitude, ultimately outputting the target recognition result. This invention improves the accuracy of weak vital sign detection, reduces end-to-end latency and power consumption, adapts to UAV SWaP constraints, and is suitable for low-altitude UAV rubble search and rescue scenarios.

The application discloses a kind of vital sign detection method, device, by radar sensor data of the region to be detected vital sign of gathering, after data processing to data, the distance-energy mapping relationship of the moving target after removing static target in the region to be detected vital sign is obtained, and the distance-phase mapping relationship of the moving target is obtained, then at least one distance corresponding specified parameter is determined according to the two mapping relationships.The specified parameter at least includes high frequency signal proportion.At least one distance corresponding specified parameter is input to the support vector machine model that is constructed in advance, and the vital sign detection result output by the support vector machine model is obtained.By determining at least one distance corresponding specified parameter, and then using the determined specified parameter as the input of support vector machine model, the specified parameter at least including high frequency signal proportion can be used to accurately determine whether there is vital sign in the region to be detected vital sign.

This invention discloses a patient vital signs detection system based on millimeter-wave radar, belonging to the field of vital signs monitoring technology. The system includes: acquiring multi-range-unit echo phase data using millimeter-wave radar; calculating the phase difference between adjacent range units to identify and delete static scatterer data; and outputting a dynamic phase sequence. Spectral analysis is performed on the dynamic phase sequence to identify overlapping energy frequency bands, establishing a time-frequency distribution matrix, and separating the phase into respiratory and cardiac phase components based on temporal envelope differences. The trough positions of the respiratory phase components are detected, and the cardiac phase components are divided into multiple respiratory cycle segments according to the trough positions. Phase jump variables at the boundaries are calculated for cumulative phase compensation, and a continuous phase heartbeat signal is output. The phase offset angle between the peak of the heartbeat signal and the trough of the respiratory signal is detected, and the cross-cycle change amplitude is calculated. An intervention command is triggered when the value exceeds a threshold. This invention improves the accuracy and reliability of vital signs monitoring.

The application discloses a kind of millimeter wave living body detection systems, including detection main body, millimeter wave detection module and central control terminal;Detection main body is opened with detection passage;Multiple millimeter wave detection modules are installed in the inner wall of detection passage to scan target object in multiple spatial orientations;Millimeter wave detection module includes millimeter wave radio frequency front end and distributed computing unit;Millimeter wave radio frequency front end is used to emit millimeter wave signal and receive target reflection signal;Distributed computing unit under the local reference of radio frequency front end, to echo signal is carried out local phase stabilization processing and micro-motion characteristic analysis, and generates living body existence determination result before not through long distance digital transmission;Central control terminal comprehensively judges whether there is living body in the target to be detected.The application completes phase level signal processing near millimeter wave radio frequency front end, and combines multi-module spatial redundancy detection, effectively improves the detection stability and reliability of micro-motion living body target in logistics security check and the like scene.

This invention relates to the field of machine vision technology, specifically to a method and system for detecting livestock and poultry vital signs based on image recognition. The method includes the following steps: acquiring a depth point cloud sequence of the target to be detected using a binocular depth sensing device positioned above the breeding area; removing background interference through thermal imaging calibration and generating a three-dimensional mask of the target; constructing a three-dimensional skeleton model encompassing joint displacement and rotation angles based on the mask mapping; converting the time series of the skeleton model into a spatiotemporal behavioral topology map; calculating the energy transfer loss of each node in the topology map and generating a vital sign abnormality index. In this invention, a dual-modal analysis mechanism fusing depth point cloud and thermal imaging data effectively avoids the interference of lighting changes and object occlusion on detection accuracy in complex breeding environments. Utilizing the energy loss analysis logic of the spatiotemporal topology map, it quantifies subtle gait differences and respiratory frequency fluctuations in livestock and poultry during dynamic movement, achieving non-contact, high-sensitivity capture of early lesion signs.

This invention provides a vital sign detection device, including a probe body, a base, an adjustment mechanism, and a limiting mechanism. The probe body can detect human vital signs. The base can be fixedly installed on a wall. The adjustment mechanism includes an adjustment plate, a first rotating shaft, and a second rotating shaft. One end of the adjustment plate is hinged to the base via the first rotating shaft, and the first rotating shaft is fixedly connected to the base. The other end of the adjustment plate is hinged to the probe body via the second rotating shaft, and the second rotating shaft is fixedly connected to the probe body. The first and second rotating shafts are perpendicular to each other. The limiting mechanism can simultaneously restrict the rotation of the first and second rotating shafts on the adjustment plate. By limiting the rotation of the first and second rotating shafts, the limiting mechanism restricts the movement between the adjustment plate and the base, and the angle between the adjustment plate and the probe body, thereby fixing the probe body and effectively preventing blind spots caused by changes in the coverage area of ​​the probe body.

This invention discloses a method, apparatus, and device for detecting infant vital signs using millimeter waves. The method includes a visible light acquisition unit that acquires visible light image sequences of the crib surface area, a millimeter wave acquisition unit that simultaneously acquires millimeter wave echo data of the crib surface area, a target range determination module that combines a preset or calibrated crib surface area with the infant's body area detected by the visible light images to determine the target position range of the infant on the crib surface and map it to the millimeter wave detection range, and a dynamic gating module that controls the freezing, restoration, or restart of the millimeter wave vital sign detection process. Through the collaborative design of visible light-assisted and millimeter wave vital sign detection, based on a preset or calibrated crib surface area and combined with the infant's body area detection results, the target position range of the infant is mapped to the millimeter wave detection range. Vital sign signals are extracted based on the echo data of this target range, improving the targeting and effectiveness of millimeter wave vital sign detection.

The utility model discloses a kind of chemical storage tank cleaning operation personnel vital signs monitoring system, it is related to chemical safety monitoring technical field, specifically including terminal equipment, signal transfer equipment and command machine, terminal equipment realizes data interaction with command machine by signal transfer equipment, the command machine is connected computer, sound and microphone, the command machine and computer, sound and microphone realize data interaction, the computer is built-in monitoring software, and the computer is connected with alarm;Terminal equipment is worn by operation personnel, integrated with vital signs detection module, voice communication module, environmental detection module, alarm module and microprocessor.This application realizes the real-time, accurate monitoring of operation personnel vital signs, discovers safety hidden danger and alarm in time, guarantees the life safety of operation personnel;Optimize voice communication function simultaneously, improve communication efficiency, reduce staff burden.

This invention provides a seat control method, system, and vehicle, relating to the field of seat adjustment technology. Upon receiving a seat flattening command, it acquires vital sign data of a target cabin area collected by a bio-radar sensor; based on the vital sign data, it performs vital sign detection to obtain a vital sign detection result within the target cabin area; when the vital sign detection result indicates that no living being exists in the target cabin area, it controls the seat to perform a flattening operation. This proactive and accurate detection of living beings in the target area before seat flattening solves the problems of misjudgment and safety hazards caused by manual confirmation or weight sensors in existing technologies, thereby improving the active safety performance of vehicle seat systems.

This application relates to a vital signs monitor and a vital signs detection system. The vital signs monitor includes: an implantable component configured to be implanted into the subcutaneous region of a human body; the implantable component includes: a circuit board on which a blood glucose sensor is disposed; the blood glucose sensor includes at least one first light-emitting element, a photosensitive element, and at least one first light-receiving element, wherein the first light-emitting element is used to emit a light signal of a first wavelength; the photosensitive element is used to contact glucose molecules in human tissue fluid and form a fluorescent group, the fluorescent group being used to receive the light signal of the first wavelength and excite a light signal of a second wavelength, the first wavelength being different from the second wavelength; the first light-receiving element is used to receive the light signal of the second wavelength, the second wavelength being used to determine the blood glucose information of the human body. The above-mentioned vital signs monitor enables long-term and accurate monitoring of vital signs information such as blood glucose.