7 results about "Heart rate change" patented technology

A cardiopulmonary management system includes a multi-sensor device and a controller. The multi-sensor device includes an elongated body having a first end and a second end, a first electrode disposed at the first end of the body, a second electrode disposed at the second end of the body, an electrical circuitry disposed near a middle of the body, and a sound sensor. The multi-sensor device is configured to be disposed on a skin of a subject and to measure cardiopulmonary parameters from the subject. The controller is configured to derive a score of sound change, heart rate change, thoracic impedance change, respiratory rate change, QRS wavelength change, QT interval change, electromechanical activation time change, and left ventricular systolic time change based on the measured cardiopulmonary parameters. The controller is further configured to control an operation of the system when the derived score is greater than a threshold.

The present application relates to the technical field of non-contact vital sign monitoring, and specifically discloses a heart signal detection method based on feature decoupling millimeter wave radar based on contrast learning. The present application realizes the automatic separation of the rhythm feature and the morphological feature of the heart signal from the millimeter wave radar signal by constructing an adaptive filtering module, a sample generator, a multi-scale feature extraction module, a double-path feature decoupling module, a physical constraint module and a contrast learning loss function. The present application uses contrast learning to construct a positive sample pair, guides the model to learn a feature representation that is invariant to heart rate changes and waveform deformation, and combines physiological prior constraints to improve the robustness and interpretability of the features. The present application effectively solves the shortcomings of traditional methods in signal separation, noise suppression and generalization ability, and can be widely applied to heart rate variability analysis, arrhythmia detection and other heart health monitoring tasks.

The application relates to the technical field of medical artificial intelligence, and particularly discloses a heart mechanical efficiency evaluation method based on a strain-blood flow coupling model, which comprises the following steps: synchronously collecting electrocardio, heart sound and photoelectric volume pulse wave signals, adopting master-slave clock synchronization and R wave triggering alignment to realize multi-modal signal timing calibration; extracting myocardial strain rate, stroke volume and systolic energy consumption coefficient based on the calibrated signals, and constructing a strain-blood flow coupling efficiency index; dynamically calibrating the coupling efficiency index through a double-parameter self-calibration mechanism of heart rate drift and heart rate change rate; and finally combining multi-scale feature extraction and a gradient boosting decision tree model to output a heart mechanical efficiency grade and an ischemia risk probability; the application solves the problems of missing dynamic load evaluation, isolated multi-modal parameters and insufficient individual difference adaptability in the prior art, and realizes early myocardial ischemia detection sensitivity and wearable device-level real-time monitoring capability.

To improve the quality of life for the target individuals. [Solution] The information processing device 20 includes a control unit that acquires time-series data including data showing changes in the heart rate of the subject U1, and uses the time-series data to perform a prediction process to predict autonomic nervous system symptoms associated with autonomic nervous system dysfunction.

This invention relates to the field of sleep aid technology, specifically to a multimodal physiological rhythm traction sleep intervention method and system. It dynamically determines a target guiding heart rate based on heart rate data, generating a physiological guidance cycle that includes inhalation and exhalation phases with durations adaptively adjusted according to heart rate changes, ensuring the guiding rhythm remains synchronized with the user's actual heart rate changes. Synchronous control signals are generated, acting on the visual, auditory, and tactile channels respectively. Through forced synchronous changes of the three sensory channels under the same rhythmic clock, a cross-sensory rhythm traction field is formed, actively inducing the user's heart rate to approach the target resting level. The physiological guidance cycle is continuously adjusted based on real-time updated heart rate data, forming a closed-loop control chain of monitoring, intervention, evaluation, and re-intervention until the user's autonomic nervous system switches to a sleep preparation state, thereby achieving active physiological rhythm traction under multimodal synergy.

1. Name of the product in this design: Heart rate display area for a graphical user interface of a song playback page in an electronic device. 2. Purpose of this design: An electronic device. 3. The key design features of this product are: the parts in the graphical user interface, and the parts not marked with dotted lines are the parts for which protection is required. 4. The image or photograph that best illustrates the design's key points: Design 2 main view. 5. Design 2 is designated as the basic design. 6. Purpose of the graphical user interface: The overall appearance design of the interface is used to display song information and related playback control buttons, and to observe heart rate changes (such as heartbeat animation, heart rate value, and heart rate fluctuation frequency) when playing songs. The partial appearance design of the interface is used to observe heart rate changes (such as heartbeat animation, heart rate value, and heart rate fluctuation frequency) when playing songs. 7. Human-computer interaction method of graphical user interface: In the main view of Design 1, the heartbeat animation, heart rate value and heart rate fluctuation frequency are displayed at the top of the interface, which can change according to the user's status (such as listening to music, exercise status, etc.). The human-computer interaction methods of Designs 2 to 6 are the same as those of Design 1, but the heartbeat animations are different for different heart rate values. In the main view of Design 7, the heartbeat animation and heart rate value are displayed at the top of the interface, which can change according to the user's status (such as listening experience, exercise status, etc.). In the main view of Design 8, the heart rate value and heart rate fluctuation frequency are displayed at the top of the interface, which can change according to the user's status (such as listening to music, exercise status, etc.).