4 results about "Respiration rhythm" patented technology

The application discloses a non-contact respiratory monitoring method based on multi-distance unit phase fusion, obtains in-phase components and quadrature components corresponding to millimeter wave radar receiving echoes, obtains intermediate frequency signals through frequency mixing, low-pass filtering and discrete sampling; the intermediate frequency data is subjected to distance transformation, and the target distance region corresponding to the human chest is determined based on dynamic echo enhancement and energy statistics; a plurality of adjacent distance units are selected from the target distance region to form a multi-channel phase sequence; the multi-channel phase sequence is input into a phase fusion reconstruction network to reconstruct a target respiratory waveform; frequency domain analysis is performed on the reconstructed respiratory waveform, main frequency components in a respiratory frequency band are extracted, and a respiratory rate estimation result is obtained; the phase fusion reconstruction network is supervised and trained by using a synchronously obtained respiratory true value waveform, and network parameters are updated based on waveform reconstruction error, morphology consistency constraint and timing smoothing constraint. The application aims to improve the accuracy of respiratory waveform reconstruction and the accuracy of respiratory rate estimation.

<pre>The Intelligent Monitoring System is an integrated solution for managing and monitoring chronic respiratory diseases. It combines a patient-facing mobile application with a platform dedicated to healthcare professionals, enabling continuous monitoring and collaborative management. The system collects physiological parameters—such as heart rate, oxygen saturation (SpO₂), and electrocardiogram (ECG) and photoplethysmogram (PPG) signals—using smartwatch sensors. It also records lung sounds via an electronic stethoscope and measures environmental data (air quality, temperature, and humidity) using specialized sensors and a public API. A smart inhaler is integrated to guide patients in its use, thereby boosting treatment adherence and ensuring greater therapeutic efficacy. By leveraging Edge AI, the system predicts key parameters like respiratory rate and analyzes lung sounds directly within the mobile app to detect respiratory abnormalities. Relying on edge computing, it offers real-time processing, reducing cloud dependency while maintaining high accuracy. The system helps patients quickly recognize critical symptoms, monitor vital signs and environmental triggers, and track treatment adherence. Data is shared instantly and securely with healthcare professionals via the platform, facilitating rapid interventions and reducing the need for emergency care. By integrating these features, the system promotes proactive respiratory disease management, prevents exacerbations, and improves patients' quality of life.< / pre>

The invention discloses a method and a device for eliminating respiratory artifacts of uterine myoelectricity. The method comprises the following steps: S1, acquiring an abdominal multichannel signal and a respiratory rate RR to obtain a uterine myoelectricity original data sequence X; s2, subtracting the mean value from the original data sequence to obtain zero mean value data; s3, carrying out linear transformation on the zero mean value data; s4, solving zero-mean data after linear transformation to obtain an orthogonal matrix W by searching for a direction in which negentropy or kurtosis is approximately maximized; s5, constructing a two-dimensional comprehensive scoring function, and identifying a respiratory artifact vector VR; s6, calculating a projection component VRX of the respiratory artifact vector VR in the original hybrid matrix X, and removing the projection component from the original signal to obtain a signal matrix X'after preliminary removal of the respiratory artifacts; and S7, carrying out band-pass filtering on the signal matrix X'to obtain a pure uterine electromyographic signal with a high signal-to-noise ratio. The method can effectively eliminate the interference of the respiratory artifacts on the uterine myoelectricity signals, and improves the signal-to-noise ratio of the collected uterine myoelectricity.

The utility model provides a kind of human core body temperature detection device, the device includes: fixed band, and single-channel heat flow method sensor, respiratory sensor, electrocardiosensor and data processing unit fixed to one side of the fixed band;The single-channel heat flow method sensor, respiratory sensor, electrocardiosensor are electrically connected with the data processing unit respectively.The utility model collects original body temperature data by single-channel heat flow method sensor;Respiratory rate data are collected by respiratory sensor;Heart rate data are collected by electrocardiosensor;Data processing unit dynamically adjusts the weight of original body temperature, heart rate, respiratory rate, to calculate pre-core body temperature and body temperature compensation amount by two-stage fusion algorithm;Human core body temperature is obtained by the core body temperature compensation amount correction pre-core body temperature data.The utility model improves the accuracy and robustness of body temperature detection by integrating the dynamic changes of heart rate (HR) and respiratory rate (RR).