25 results about "Cardiac rate" patented technology

A method and system are provided for estimating the respiratory rate of a subject using a wearable real-time heart rate monitor. The method includes receiving heart rate data indicating the subject from the real-time heart rate monitor; determining a heartbeat annotation of the heart rate based on the received data; filtering the heartbeat annotation to remove outliers from the heart rate; determining an IBI sequence based on the filtered heartbeat annotation; determining the power spectral density of the determined IBI sequence; inputting the power spectral density, a lower limit estimate of the respiratory rate, and an upper limit estimate of the respiratory rate into a respiratory rate estimation algorithm; using the respiratory rate estimation algorithm to determine the peak energy and maximum frequency energy of the power spectral density; and outputting an estimated respiratory rate by fusing the peak energy and maximum frequency energy using the respiratory rate estimation algorithm.

This invention discloses a sensory-cognitive progressive VR psychological counseling and relaxation system for the elderly, comprising a sensory activation experience module and a cognitive training and adjustment module. The sensory activation module, through guided virtual scenes and interactive tasks, enables elderly users to achieve emotional relief and attention recovery through low-intensity operation. The cognitive training module, through physiological monitoring devices, acquires real-time data such as heart rate and eye movement, dynamically adjusts task difficulty, and guides users in active cognitive training such as breathing regulation and attention allocation. The system allows users to select modules according to their own condition, achieving a comprehensive goal of emotional optimization, cognitive maintenance, and improved self-efficacy through age-appropriate interaction. This invention, by constructing a progressive adjustment path of "sensory activation - cognitive training," achieves progressive psychological counseling from emotional arousal to cognitive intervention.

A safety monitoring AI system comprising interconnected safety AI wearable devices and a remote monitoring AI server to handle real-time data prioritizing urgent safety signals to optimize response time, wherein the safety wearable devices comprise multiple sensors (GPS, temperature, heart rate, humidity, VOC etc), advanced communication capabilities (LTE 4G, NB-IoT, LTE-M, NTN) and can be worn in various versatile configurations without any modification (belt, armband, ankle, helmet, etc); and wherein the AI devices form a peer-to-peer mesh network architecture exchanging relay signals to eliminate single points of failure, share safety-critical data through neighboring devices and preprocess data at device level. The invention allows to enhance workplace safety across various industries by offering a scalable, integrated solution that can adapt to different wearing configurations and operational requirements while maintaining robust communication and monitoring capabilities.

This invention proposes a method and system for generating and controlling aromatherapy-inspired natural wind based on multi-parameter coupling, relating to the fields of indoor environmental regulation and intelligent control. It includes: constructing a simulated natural dynamic airflow field using three fans equipped with aromatherapy release devices; generating a random wind speed sequence by correcting an initial random wind speed based on preset wind speed gradient levels and hydrodynamic characteristics, and driving each fan to deliver air at preset time phase differences; controlling the gas release amount of the aromatherapy release devices based on fan wind speed information and environmental feedback; and collecting skin temperature and heart rate variability data of subjects to adjust the wind speed amplitude based on feedback. This invention improves indoor thermal comfort and enhances cognitive performance and overall indoor living experience by constructing a simulated natural dynamic airflow field combined with dynamic aromatherapy diffusion and skin temperature feedback regulation.

This invention discloses a method for processing and analyzing VR emotion regulation task monitoring data based on multimodal data, belonging to the field of VR emotion monitoring technology. The method includes: collecting multi-source physiological time-series data such as heart rate variability, skin conductance response, EEG rhythm, and eye movement trajectory through a VR scene emotion association mapping gateway; eliminating data sampling frequency differences and time offsets through multi-source physiological time-series alignment processing; then filtering key feature subsets through high-dimensional feature dimensionality reduction and distillation; utilizing emotion fluctuation gradient tracking to analyze the dynamic fluctuation patterns of analytical features with VR scene changes; establishing a mapping relationship between analytical features and VR scene parameters; generating an emotion-scene association feature matrix; and finally, completing comprehensive processing and analysis of monitoring data based on this matrix to output dynamic emotion change association data. The method achieves deep integration of multimodal data and VR emotion regulation tasks through step-by-step feature extraction, fluctuation tracking, and scene mapping processes, improving the accuracy and targeting of data processing.

The application is suitable for the earphone technical field, and provides an earphone and an earphone wearing detection system.The earphone comprises an earphone body, an ear hook, a sensor assembly and a master control unit; wherein the sensor assembly is arranged in the ear hook, and the ear hook is in contact with the ear of a user when the user wears the earphone; the sensor assembly collects heart rate data of the user when the user wears the earphone, and sends the heart rate data to the master control unit; the master control unit is located in the earphone body, is connected with the sensor assembly, and is used for determining that the earphone is successfully worn when the heart rate data sent by the sensor assembly is preset normal heart rate data.Through the sensor assembly in the earphone, the heart rate data meeting the preset normal heart rate data is collected, the successful wearing of the earphone can be accurately determined, the problem that the traditional earphone cannot be detected due to wearing on the head, is placed on the desktop or is mis-triggered by hand holding, and the like, leads to inaccurate earphone wearing detection is solved, and therefore the use experience of the user is improved.

An example system includes a plurality of electrodes; a motion sensor configured to detect motion; therapy generation circuitry electrically coupled to one or more of the plurality of electrodes; and processing circuitry configured to: control the therapy generation circuitry to deliver an electrical stimulation therapy pacing protocol to a heart via one or more of the plurality of electrodes over a period of time to increase heartrate during the period of time to at least a target heartrate; and determine an indication of heart failure based, on the detected, motion during the period of time.

An ovarian health evaluation method is implemented by a first electronic device. The first electronic device may display a first interface, where the first interface includes a first control; receive a first operation performed on the first control; obtain first data, where the first data includes heart rate variability data of a user within a preset time period; determine an ovarian health evaluation result based on user vital sign data, where the user vital sign data includes the first data, and the ovarian health evaluation result indicates an ovarian health status of the user within the preset time period; and display a second interface after the preset time period, where display content of the second interface includes the ovarian health evaluation result.

The invention relates to a novel loT-enabled smart garment system designed to be worn beneath a bulletproof vest, to perform location-based determination of a body region penetrated by a projectile after penetration of the vest, to detect multiple projectile impacts, and to differentiate impacts to vital organs, thereby enabling advance planning of medical intervention and casualty evacuation, wherein the loT-enabled smart garment comprises liquid-conductivity-based sensor nodes positioned in a 3x3 matrix arrangement on both the front and rear sides of the body so as to define a total of 18 independent regions, wherein each sensor node includes an IV fluid bag disposed between two opposing conductive metal plates in the sensor and containing silver nitrate or a similar conductive liquid, wherein the loT-enabled smart garment incorporates a liquid-conductivity-based switching mechanism which operates on the principle that, when a projectile impacts the body, rupture of the IV fluid bag causes the conductive liquid to flow between the metal plates, thereby forming a short-circuit condition, wherein, by means of said mechanism, a microcontroller determines which of the 18 sensor nodes corresponds to a closed switch state, thereby providing a point-specific identification of the body region through which the projectile has penetrated, wherein the loT-enabled smart garment further includes a GPS module for determining a location information of the injured person, an IMU sensor for monitoring the motion state of the injured person, biometric sensors for tracking vital signs such as a heart rate and a body temperature, and a GSM module for transmitting real-time notifications to medical response teams and relevant security units so as to accelerate the intervention process, and wherein the loT-enabled smart garment system thereby enables life-saving medical intervention in projectile-related injuries by means of all these features.

This invention discloses a method and system for adjusting the color temperature of a display. The method includes: real-time acquisition of ambient light parameters and user physiological characteristic parameters, wherein the ambient light parameters include at least the ambient color temperature value and illuminance value, and the physiological characteristic parameters include at least the duration of continuous eye use and heart rate variability index; generating a first color temperature adjustment reference value based on the ambient light parameters, and generating a second color temperature adjustment reference value based on the physiological characteristic parameters; inputting the first and second reference values ​​into a color temperature fusion decision model to dynamically calculate a target color temperature value; and gradually adjusting the current color temperature of the display to the target color temperature value according to a smooth transition curve, wherein the slope of the transition curve is adjusted in real time according to the heart rate variability index. The system includes an environmental perception module, a physiological monitoring module, a dual-path reference generation module, a color temperature decision module, and a smooth adjustment execution module. This invention integrates environmental and physiological characteristics to achieve personalized, eye-friendly, and smooth adaptive color temperature adjustment, effectively alleviating visual fatigue.

This invention discloses a smart sleep apnea early warning system and method based on multi-sensor fusion in a mobile phone. The system includes: a data acquisition module for collaboratively acquiring multimodal data from the phone's built-in microphone, accelerometer, and optional wearable device heart rate sensor in low-power mode; a data processing module, including a data preprocessing unit and an improved CNN-LSTM early warning model, for noise reduction, feature extraction, and identification of apnea events in the acquired data; and an output module for triggering a graded early warning and generating a health report when an apnea event meeting preset conditions (single apnea ≥ 10 seconds and confidence ≥ 85%) is identified. This invention achieves high-precision (accuracy ≥ 90%) and low-power (nighttime monitoring power consumption ≤ 5mA) non-contact sleep monitoring through multi-sensor fusion and lightweight model design, effectively solving the problems of poor convenience, missing early warnings, and high power consumption in existing technologies, and is particularly suitable for home health management scenarios.

The application provides a slope automatic obstacle avoidance and speed control system and method of an electric wheelchair, and relates to the field of control systems.The control system comprises a driving module, an automatic obstacle avoidance module, a self-balancing controller module, a speed sensor module, a heart rate detection module, an alarm module, a speed reduction module and a central processing module.The driving module, the automatic obstacle avoidance module, the self-balancing controller module, the speed sensor module, the heart rate detection module, the alarm module and the speed reduction module are electrically connected with the central processing module.The application can remind the passenger to avoid the road section that the electric wheelchair cannot climb in advance, estimate the speed after 2s by measuring the acceleration and real-time speed, reduce the speed in advance before reaching the upper limit of the wheelchair climbing speed, measure the distance of the obstacle by ultrasonic sensors and infrared sensors, realize automatic obstacle avoidance by a fuzzy control algorithm, and realize the slope stability of the wheelchair by the self-balancing control module.

The application belongs to the technical field of power operation safety early warning, and provides a power field operation AI safety early warning method, system and head-mounted device, which synchronously collects multi-dimensional data of a power operation field, at least including electric field intensity data, operation personnel physiological state data, operation environment video data and motion posture data; the obtained operation environment video data is analyzed in real time to identify power exclusive dangerous targets; the electric field intensity data and the operation personnel physiological state data are coupled to judge and decouple features to obtain near-electricity decoupling features and heart rate decoupling features; the preliminary risk is determined in combination with the power exclusive dangerous target identification result, the motion posture data and the decoupled features; the final model input features are obtained in combination with the normalized initial risk score and the feature weighted fusion after the fusion of various features; the real-time risk level is output based on the final model input features; and the corresponding early warning trigger strategy is generated according to the real-time risk level and the set early warning trigger mechanism. The application changes from "after-the-fact tracing" to "intervention in the middle", and is suitable for power multi-scene risk differences.

This application relates to the field of smart home technology and discloses a multifunctional mirror integrating health monitoring and intelligent interaction. The device includes a semi-transparent, semi-reflective mirror body with a display module, a multispectral camera, and a control panel. The system operates data processing logic, using visual algorithms to locate the facial ROI area, and employing orthogonal projection in color space to separate pulse signals to monitor heart rate and body temperature. It identifies the user's identity through deep learning feature matching and automatically switches between adult and child modes. Based on skeletal key point tracking, it determines brushing behavior and times it. The system intelligently pushes information or educational content based on user attributes, time period, and actions, and combines visual coordinates to guide microphone array beamforming, using a logarithmic mapping model to adaptively adjust the backlight. This invention effectively improves the robustness of non-contact physiological monitoring under complex lighting conditions and achieves personalized health guidance and interaction.

The application relates to the field of time measurement, and discloses an intelligent watch for safety monitoring and alarming, which comprises a data acquisition and preprocessing module, a risk feature extraction module, an environment evaluation module, a dynamic risk fusion module, a predictive buffer alarm control module and an alarm execution module which are connected in sequence. The system collects physiological and environmental data of a user through multiple sensors, calculates risk factors in four dimensions of heart rate variability, motion contradiction, skin electric response and abnormal stillness, dynamically adjusts the fusion weight of each factor in combination with the real-time evaluated environmental risk level, and generates a comprehensive risk score. The alarm control module executes a hierarchical buffer alarm process including early warning, local delayed alarm and remote alarm according to the score and its short-term prediction value in combination with a dynamic threshold. Through multi-dimensional information fusion and environment adaptive decision, the application can more accurately distinguish physiological interference from real risks, reduces false alarms, and ensures timely response to real risks.

This utility model discloses a smart multifunctional vest for police dogs, including an upper vest and a lower vest. The left side of the upper vest and the right side of the lower vest are sewn together, with irregular through holes. A first fixing strap is sewn onto the right side of the upper vest, and a buckle is attached to the first fixing strap. A second fixing strap is sewn onto the left side of the lower vest, and a socket is attached to the second fixing strap, with the buckle matching the socket. A cooling component is installed on the upper side of the upper vest, including a small water tank, which is fixedly connected to the upper side of the upper vest. The small water tank is a plastic tank, and a submersible pump is connected to it via a first connecting pipe. The outlet of the submersible pump is connected to a second connecting pipe, and the submersible pump is fixedly connected to the upper side of the upper vest. The cooling component can cool the police dog in hot weather, preventing heatstroke. Simultaneously, combined with a heart rate monitoring sensor, it can monitor changes in the police dog's vital signs, ensuring the dog's safety.

The utility model discloses a wireless calling device, include: single-chip microcomputer minimum system, by single-chip microcomputer, crystal oscillator circuit, reset circuit, download circuit and power supply circuit are constituteed. This wireless calling device, covers ordinary ward, critical care ward and critical patient whole scene demand, supports manual calling and automatic monitoring double mode, and matrix keyboard supports input sick bed number, selects calling type, and confirms through "#" key, satisfies ordinary patient autonomous operation demand, and critical patient detects hand position through infrared obstacle avoidance module, and combines pulse sensor real -time monitoring heart rate, and when being abnormal, automatically triggers emergency call and does not need manual operation, avoids the calling delay caused by patient unconsciousness or inconvenient movement, and host computer system and slave system establish networking through wireless signal, have low power consumption, anti -interference characteristic, support multiple equipment networking, guarantee the real -time transmission of calling information, need not wiring, use more safe.

This invention relates to the field of oil and gas worker safety monitoring technology, specifically to a method and system for monitoring oil and gas worker fatigue based on multimodal information fusion. The method includes: acquiring facial images, full-body images, and heart rate data of oil and gas miners; performing multiple enhancements on the facial and limb images: adaptive illumination equalization, dust defogging, and motion deblurring processing to obtain three enhanced images, which are then weighted and fused to obtain enhanced facial and full-body images; extracting fatigue expression feature values ​​and facial dynamic feature values ​​from the enhanced facial image, and extracting limb feature values ​​from the enhanced full-body image, and fusing the three to obtain a fatigue quantification value; and correcting the fatigue quantification value based on heart rate data to determine the fatigue level, thereby achieving monitoring and graded early warning of miner fatigue. This invention improves the accuracy of miner safety monitoring.

This invention discloses a method, system, and terminal for storing behavioral process evidence based on multimodal data, belonging to the field of data storage and public security technology. It aims to solve the problems of limited types of behavioral process evidence, difficulty in cross-verification, and difficulty in post-event verification in existing technologies. This invention acquires the user's multimodal data, constructs a dynamic physiological data baseline using at least heart rate data, and monitors multiple triggering events: real-time data deviating from the baseline by more than a threshold, user-initiated commands, and external system alerts. When any triggering event occurs, the recorded data is annotated and / or enhanced, and a user post-event annotation function is also provided. This invention can automatically and multidimensionally record behavioral processes without the user's awareness or with simple operation, forming a mutually corroborating chain of evidence. It is applicable to various scenarios such as evidence collection for acts of helping others to prevent false accusations and proving innocence in court, and has advantages such as high evidence credibility, good user experience, and strong privacy protection.

This invention discloses a wearable wristwatch system for area control of workers, specifically in the field of personnel safety management. It includes: a data acquisition module that synchronously collects heart rate, body temperature, acceleration, and skin contact data of workers using the wristwatch itself, writes a timestamp to each data entry, and outputs a chronologically ordered acquisition sequence; and a positioning and storage module that acquires the positioning data of workers using the wristwatch itself, aligns the positioning data with the acquisition sequence using the same timestamp, and writes it to local storage. By aligning positioning trajectory segments with the acquisition sequence using the same timestamp and generating a candidate event set and event records, and then verifying them with a consistency value and reporting them using a check chain, false alarms can be relatively suppressed and avoided under conditions of positioning drift and network interruption, while retaining verifiable trigger evidence.

This application relates to the field of biomedical engineering technology and discloses a model algorithm for predicting metabolic syndrome based on cardiac deceleration force and heart rate variability. The algorithm includes: acquiring the electrocardiogram (ECG) and mechanical waveform signal sequences of the target object, and extracting the RR interval time series using adaptive anti-interference processing; extracting heart rate variability and cardiac deceleration force features characterizing vagal tone; locating key physiological markers and calculating underlying hemodynamic features such as ventricular ejection time, ventricular isovolumic contraction period, and electro-mechanical coupling delay; performing dimensionless mapping and feature fusion on the above heterogeneous feature set to generate a one-dimensional vector; inputting the data into a state assessment model, obtaining a weighted context vector through nonlinear high-dimensional mapping and dynamic weight allocation, calculating a comprehensive risk index, and outputting a state classification. This invention overcomes the bottleneck of single-signal assessment, taking into account both autonomic nervous system regulation and myocardial mechanical efficacy, and improving the algorithm's robustness and clinical prediction accuracy in complex monitoring scenarios.