360 results about "Hearts lungs" patented technology

The invention belongs to the technical field of intelligent rehabilitation equipment control, and relates to a multi-parameter feedback regulation and control method for postoperative lung function rehabilitation training, which comprises the following steps: acquiring an electrocardiosignal, a respiration signal and a limb movement signal of a patient; identifying a heart rate fluctuation form of the electrocardiosignal to generate an abnormal fluctuation time period, and analyzing a time difference between an inspiration phase and an expiration phase of the respiratory signal to generate a starting point of respiratory rhythm disorder; judging a cardiopulmonary risk level; the exercise intensity of rehabilitation training equipment is automatically adjusted based on the cardiopulmonary risk level, and meanwhile a regulation and control mode is dynamically selected according to the proportion change of the chest fluctuation amplitude and the abdomen fluctuation amplitude; when the heart rate recovery rate is lower than a preset reference and the respiratory rhythm stabilization time exceeds a critical value, gradually improving the exercise intensity; calculating a motion intensity correction coefficient and triggering a motion posture correction instruction; and generating a rating report containing the cardiopulmonary function fitness. According to the invention, the problem of lack of comprehensive quantitative evaluation of rehabilitation efficiency in the prior art is solved.

The invention relates to the technical field of medical health information, and particularly discloses a heart rehabilitation training control method based on muscle force and electrocardiosignal real-time monitoring, which comprises the following steps: firstly, calculating real-time myoelectricity intensity to quantify muscle load, synchronously analyzing electrocardiosignals and respiratory frequency to obtain a cardiopulmonary state, and correcting physiological indexes in combination with a trunk motion state; then, a multi-parameter fusion result is generated through a weighted fusion algorithm, and the relevance between the muscle force load and the heart response is comprehensively reflected; then, the system judges the training intensity through a preset threshold model, generates a voice feedback instruction in real time to adjust the action of the patient, and adaptively updates training parameters to match the rehabilitation progress of the individual; meanwhile, the system continuously monitors multi-parameter changes, and automatically triggers an early warning mechanism when abnormal risks are detected, so that training safety is ensured. According to the method, the limitation that a traditional scheme depends on a single index is overcome, and personalized and dynamic heart rehabilitation training closed-loop control is achieved.

The invention relates to the technical field of medical instruments, and discloses an intelligent device for monitoring the cardio-pulmonary function of a heart failure patient, the intelligent device comprises a multi-mode sensor module, an AI analysis module, a biological feedback module and a wearable carrier, the multi-mode sensor module is used for collecting heart rate, respiratory rate, oxyhemoglobin saturation and body movement data in real time, and the AI analysis module is used for analyzing the heart rate, the respiratory rate, the oxyhemoglobin saturation and the body movement data; monitoring modes can be dynamically switched in rest, motion and sleep scenes; the AI analysis module is used for detecting abnormity based on real-time data and predicting a heart failure deterioration risk in combination with historical data; and the biological feedback module is used for providing personalized intervention in a vibration or audio mode according to the analysis result. The heart rate, the respiration rate, the blood oxygen saturation and the body movement data are collected at the same time through the multi-mode sensor module, sleep apnea or periodic respiration is recognized in combination with the AI analysis module, the defect of separation of cardiopulmonary function monitoring and sleep mode analysis in the prior art is overcome, and therefore early intervention and treatment adjustment are supported.

The invention relates to the technical field of medical equipment, in particular to a cardiopulmonary sound and electrocardiogram rapid screening system suitable for emergency treatment scenes. The system comprises a heart and lung sound acquisition unit, an electrocardiogram acquisition unit and an intelligent analysis unit. And the intelligent analysis unit realizes signal synchronization by establishing a cross-modal time sequence alignment model, adaptively matches the physiological state by adopting a dynamic time window adjustment mechanism, and introduces multiple rounds of verification processes to ensure the result reliability. The system can automatically complete synchronous collection, feature extraction and fusion analysis of the heart and lung sound and the electrocardiosignals, the diagnosis accuracy is remarkably improved while the screening speed is guaranteed, and reliable technical support is provided for rapid screening of heart and lung diseases in the emergency department.

The invention relates to substituted pyrazolo piperidine carboxylic acids, their salts and to processes for their preparation, and also to their use for preparing medicaments for the treatment and / or prophylaxis of diseases, in particular cardiovascular and cardiac diseases, preferably heart failure with reduced and preserved ejection fraction (HFrEF, HFmrEF and HFpEF), hypertension (HTN), peripheral arterial diseases (PAD, PAOD), cardio-renal and kidney diseases, preferably chronic and diabetic kidney disease (CKD and DKD), cardiopulmonary and lung diseases, preferable pulmonary hypertension (PH), and other diseases, preferably neurodegenerative diseases and different forms of dementias, fibrotic diseases, systemic sclerosis (SSc), sickle cell disease (SCD), wound healing disorders such as diabetic foot ulcer (DFU).

The invention relates to the technical field of medical first-aid equipment, and provides intelligent cardio-pulmonary resuscitation equipment based on physical sign information fusion, which comprises a physical sign monitoring module which is integrated with an electrocardiogram monitoring unit, an end-tidal carbon dioxide (ETCO2) monitoring unit and a carotid artery blood flow ultrasonic sensor and is used for acquiring electrocardiosignals, ETCO2 concentration and carotid artery pulse data of a patient in real time; the circulation optimization module comprises an in-vitro double-lower-limb pressurization device, promotes lower limb vein blood backflow through periodic air pressure pressurization, and is provided with a pressure sensor for dynamically adjusting the pressurization intensity. Through the intelligent pressing mechanical arm, the pressing track and the springback strength can be dynamically adjusted according to the pressing effective coefficient (CCF), personal errors caused by fatigue of an operator and individual differences are avoided, high standardization and stability of pressing operation are achieved, cardio-pulmonary resuscitation effectiveness is remarkably improved, lower limb vein blood backflow is promoted through periodic air pressure pressurization, and the cardio-pulmonary resuscitation effect is improved. A pressure sensor is arranged to dynamically adjust the pressurization intensity, and the success rate of cardio-pulmonary resuscitation is increased.

The invention relates to an apparatus for determining an indicator, which is representative for a physiological parameter of a patient like a fluid responsiveness parameter, based on a pulse signal. The apparatus determines a) a respiratory pulse variation signal (r0) corresponding to pulse variations caused by ventilation or respiration induced heart-lung interaction based on the pulse signal and b) a systolic part of the respiratory pulse variation signal, which corresponds to a time period in which an increasing or decreasing applied pressure passed the systolic arterial pressure of the patient and which therefore is prone to comprising an artifact. Moreover, the respiratory pulse variation signal is modified such that the determined systolic part of the respiratory pulse variation signal is corrected, wherein the indicator is determined based on the measured pulse signal and the modified respiratory pulse variation signal. This procedure allows for a more accurate determination of the indicator.

Methods, devices and systems are described for decreasing the activity of the sympathetic nervous innervation to and from the lungs and the vessels supplying the lungs to treat pulmonary medical conditions such as asthma. In one embodiment, the method may involve advancing an intravascular instrument to a target location in a blood vessel within the intercostal vasculature to ablate either or both the sympathetic afferent and efferent nerves lying within the paravertebral gutter including the visceral fibers that travel to the cardiothoracic cavity and abdominopelvic viscera and the T1 to T4 / 5 sympathetic chain. In another embodiment, an intravascular instrument may be advanced to the bronchial vessels to ablate either or both the sympathetic afferent and efferent nerves in and around the posterior pulmonary plexus. In one embodiment the ablative agent is a neurolytic agent delivered in a gel. This approach may be utilized to treat other cardiac and pulmonary diseases.

The invention discloses a cardiac postoperative rehabilitation training device. Comprising a base, a bearing chair arranged on the base and used for bearing a patient, a massage mechanism arranged on the bearing chair, an upper limb lifting exercise mechanism and an upper limb horizontal extension exercise mechanism which are arranged on one side of the bearing chair, and a leg pedaling type exercise mechanism arranged in front of the bearing chair and connected with the base. The bearing chair comprises an angle-adjustable backrest, the backrest is connected with a first driving unit used for controlling the inclination angle of the backrest, by arranging the multiple exercise mechanisms, a patient can conduct comprehensive training of multiple actions, limb blood circulation is effectively promoted, the cardiopulmonary function is increased, and the patient can conduct comprehensive training of multiple actions; the early rehabilitation of the patient after the cardiac surgery is facilitated; various training actions are combined, the body of a patient can be exercised more comprehensively, the situation that the rehabilitation training effect is poor due to the single training action is avoided, and the rehabilitation training effect is improved.

The invention relates to the technical field of remote monitoring, in particular to a chronic respiratory disease patient remote monitoring system based on the Internet of Things, which comprises a physiological baseline initialization module, an event response delay measurement and calculation module, a cardiopulmonary coupling phase quantization module and a decompensation risk early warning module. According to the method, an individual blood oxygen and cardiopulmonary coupling health baseline is established to provide accurate reference for subsequent analysis, then the blood oxygen recovery time after apnea is measured and calculated, the physiological response delay characteristic of an individual is quantified, and the characteristic is used for setting a dynamic analysis window to continuously calculate the phase difference between a breathing mode and a blood oxygen signal, so that the phase difference between the breathing mode and the blood oxygen signal is calculated. By continuously comparing the current phase difference with the individual health baseline and triggering early warning when the difference value continuously exceeds a specific range, the early sign of the instability of the cardiopulmonary system can be effectively captured, the conversion from passive response type alarm to active predictive early warning is realized, and a precious time window is provided for preventing decompensation.

A chest compression assist glove is disclosed herein. The chest compression assist glove solves numerous problems in the performance of CPR by a human and is intended to provide mechanical advantage for a single rescuer performing chest compressions. The chest compression assist glove disclosed herein mitigates the fatigue and degradation of performance experienced by the rescuer due to the high energy demands of performing an intrinsically mechanically disadvantaged action over a sustained period.

The invention discloses a system and a device for measuring the cardiopulmonary endurance of an adult, and relates to the technical field of cardiopulmonary endurance measurement. The system comprises a power vehicle, a heart rate acquisition module, a data processing module, a motion control and voice guide module, a load regulation and control module, a result output and data management module, a safety monitoring and stopping module and a user interaction module, and the power vehicle comprises a positioning base, a supporting seat, a vehicle frame, a counting and power utilization mechanism and a measurement and power recovery mechanism. A stable and controllable physical exercise platform and an adjustable load system are provided, a heart rate collection module collects heart rate data of a subject in the resting and exercise process in real time, and the heart rate data serve as a VOmax estimation core basis. And data of more dimensions can be incorporated during formula calculation of the maximum oxygen uptake, so that the effect is better.

According to an example, there may be provided a method for classifying a carbon dioxide oscillogram, the method comprising obtaining a respiratory waveform from a carbon dioxide oscillogram, determining one or more turning points of the respiratory waveform, where the turning points include: a delta turning point between an expiratory baseline and an expiratory ascending branch, a gamma turning point between the inspiration descending branch and the inspiration base line, and an alpha turning point between the expiration ascending branch and the expiration platform; extracting the characteristics of the breathing waveform by using the turning point; and applying a trained machine learning model to the extracted features, where the trained machine learning model is configured to output a classification of the carbon dioxide oscillogram according to the features.

A pad carrying an array of ECG electrodes can be used to measure ECG signal amplitudes and AMSA, a signal analyzer determines a cardiac position with respect to the pad, and an indication of cardiac position with respect to indicia can be provided on a top surface of the pad for output to the user to guide in performing chest compressions during CPR. The pad may integrate a defibrillator electrode. The apparatus may be an automated external defibrillator (AED).

The invention discloses a method for realizing exercise health management based on an individualized cardiopulmonary function digital twinborn model. According to the method, CPET (cardiopulmonary function exercise test) data of a user is acquired as a reference and is input into a cardiopulmonary function digital twinborn model, so that the individual cardiopulmonary function limit and sudden acute disease risk prediction of the user is generated, and the purpose of individualized exercise health management is achieved. According to the technical scheme, firstly, a partial differential equation set is adopted to describe an oxygen metabolism chain of respiration-circulation-functional organs, then a digital twinning neural network is used for fitting the metabolism chain, individual characteristics and exercise load parameters are input, and an oxygen metabolism result and human body internal functional characteristic parameters are output; furthermore, the output of the digital twin network is input to the prediction network, so that the cardiovascular disease risk prediction is realized. The generated personalized cardiopulmonary function digital twin model provides a powerful tool for developing more scientific and efficient physical training and early intervention and precise prevention of diseases.

The invention discloses a critical patient rehabilitation evaluation system based on artificial intelligence, particularly relates to the technical field of medical information and intelligent rehabilitation evaluation, and is used for solving the problems that in an intensive care unit, multi-source data are not synchronous, nursing and treatment events are often caused, sedation and ventilation fluctuation pollution is caused, and the problem of serious illness is solved. And thus, the problem of distortion in judgment of which level cannot move nowadays and can move to can be solved. A unified time base is established through three types of anchor points of nursing, body position and cardiopulmonary rhythm, passivity and autonomy are judged in an influence time period, and the passivity is deducted and reserved; and then sedation, circulation, respiratory support and medication are compiled into safety budget with delay, linkage evidence quantity and uncertainty adjustment release rhythm, and degradation and rollback are triggered by an anti-fact track of margin segmentation, so that an executable prescription of'activity, reachable grade and reason 'is output beside a bed, event pollution and physiological fluctuation are inhibited, and the aim of preventing and treating the patient is fulfilled. And maloperation and missed operation are reduced.

The present disclosure provides a method for assessing cardiorespiratory health. The method comprising: generating mechanical movement data associated with a torso of a subject's body using a plurality of ballistocardiography (BCG) sensors; filtering the mechanical movement data to extract respiratory signal waveforms and heart signal waveforms; decomposing the respiratory signal waveforms into thoracic, diaphragmatic, and abdominal breathing components based on waveform characteristics and anatomical location of the plurality of BCG sensors; analyzing phase differences between the thoracic, diaphragmatic, and abdominal breathing components over time to quantify a degree of synchrony or asynchrony; evaluating relative contributions of thoracic, diaphragmatic, and abdominal breathing components to an overall breathing effort; identifying a breathing abnormality based on the analysed phase differences and the evaluated relative contributions; and detecting a potential cardiorespiratory condition based on the identified breathing abnormality.

Systems, devices, and methods provide up-to-date defibrillation shock recommendations. In an example method, multiple segments of an electrocardiogram (ECG) of an individual are detected from an individual receiving chest compressions. The multiple segments are evaluated to determine whether the individual is exhibiting a shockable heart rhythm. A medical device outputs a recommendation indicating whether a defibrillation shock is advised based on the most recent determination of the individual's heart rhythm. For example, the medical device outputs an up-to-date recommendation on-demand in response to an input signal from a user. In some examples, the medical device updates the recommendation based on ongoing analysis of the ECG.

The application discloses a ganoderma lucidum compound composition for improving immunity, which is prepared from ganoderma lucidum, ginseng, astragalus, licorice, cistanche, schisandra chinensis, cyperus rotundus, pericarpium citri reticulatae viride, melia toosendan, radix codonopsis, atractylodes, dioscorea, chuanxiong, angelica sinensis, radix rehmanniae preparatae, ligustrum lucidum, medlar, pinellia ternata, poria cocos and white mustard seed, and can be used for treating low immunity caused by heart-lung qi deficiency by supplementing heart qi, tonifying lung and spleen, dispersing liver and resolving stagnation, and activating blood circulation.

The invention relates to the technical field of biological medicines, in particular to a pharmaceutical composition and application thereof in preparation of a medicine for treating the heart-lung qi deficiency type pulmonary heart disease. The pharmaceutical composition consists of 21-27 parts of astragalus membranaceus, 13-17 parts of semen lepidii, 7-10 parts of cassia twig, 21-27 parts of ligusticum wallichii, 7-10 parts of rhizoma alismatis, 5-7 parts of platycodon grandiflorum and 2-4 parts of Chinese dates. Compared with the prior art, the cassia twig is adopted to replace fructus psoraleae in an original formula, and meanwhile, the medicinal material specifications of the fried semen descurainiae, the raw ligusticum wallichii and the salted rhizoma alismatis are preferably selected. The invention also provides three preparation methods of the pharmaceutical composition, namely a water extraction and alcohol precipitation method, an alcohol extraction and water extraction combined method and a crushing and mixing method. Experimental results show that the pharmaceutical composition has remarkable effects on improving heart functions, lung functions, blood-gas indexes, right ventricular hypertrophy and the like of pulmonary heart disease model animals, meanwhile, the hepatotoxicity risk of fructus psoraleae is avoided, and the pharmaceutical composition has a good clinical application prospect.

The invention provides a cardiac postoperative respiratory function monitoring system and method. The method comprises the steps that photoelectric volume pulse wave signals of a patient during cardiac postoperative breathing are collected through an intelligent optical sensor; extracting a heart rate variability signal of the patient, and determining a quantitative index of respiratory sinus arrhythmia of the patient through the heart rate variability signal; determining the arterial pressure variability of the patient according to the arterial pressure waveform, and fusing the arterial pressure variability and the quantitative index of the respiratory sinus arrhythmia to obtain the cardiopulmonary coupling strength; according to the cardiopulmonary coupling strength and the shallow and fast breathing index of the patient, combining a pre-trained failure prediction model during breathing machine withdrawal, outputting a failure risk value during machine withdrawal of the patient; and outputting a machine withdrawal decision support report of the patient according to the failure risk value and a preset individualized early warning threshold value. According to the scheme, the cardiac postoperative withdrawal risk can be evaluated based on the dynamic cooperation mechanism between the cardiovascular system and the respiratory system.

A heart-lung stop prediction device includes: right and left sound detection sections for detecting sounds generated by heartbeat fluctuation at right and left corneal wind sites, respectively, and detecting sounds generated by breathing fluctuation at the right and left corneal wind sites, respectively; a calculation section for calculating a stress index of a mammal based on the sounds generated by heartbeat fluctuation and the sounds generated by breathing fluctuation detected by the right and left sound detection sections; a prediction section for predicting a heart-lung stop period of the mammal based on the stress index calculated by the calculation section; and a notification section for notifying the heart-lung stop period predicted by the prediction section.

An example insertable cardiac monitor includes a plurality of electrodes to configured detect a cardiac electrical signal of a patient; a cardiac mechanical sensor configured to generate a cardiac mechanical signal; and processing circuitry configured to: determine cardiopulmonary resuscitation (CPR) is being administered to the patient; in response to the determination that CPR is being administered to the patient, determine whether an electrical rhythm of a heart of the patient satisfies a healthy electrical rhythm threshold based on the cardiac electrical signal; and in response to a determination that the electrical rhythm of the heart of the patient satisfies the healthy electrical rhythm threshold, determine whether a mechanical rhythm of the heart of the patient satisfies a healthy mechanical rhythm threshold during a period of time based on a cardiac mechanical signal sensed via the cardiac mechanical sensor during the period of time.

Among other things, in one aspect, we describe a system for assisting with cardiopulmonary resuscitation (CPR). The system includes at least one sensor; and one or more processors configured for calculating a chest compliance relationship based on data received from the at least one sensor, and determining a neutral position of chest compression based at least in part on a feature of the chest compliance relationship. The system can take the form of an active compression-decompression device.

The present invention relates to a system for providing feedback about the quality of real-time chest compressions for cardiopulmonary resuscitation, and a method therefor. According to the present invention, the system for providing feedback about the quality of real-time chest compressions for cardiopulmonary resuscitation comprises: one or two gloves; a first sensor which is attached to and detached from one side of the glove so as to measure the acceleration of chest compressions by a performer in real time; a second sensor which is attached to and detached from the other side of the glove so as to measure the pressure of the chest compressions by the performer in real time; and a control device which receives, in real time, the acceleration of chest compressions and the pressure of the chest compressions measured by the first sensor and the second sensor, so as to determine the current step and state of the chest compressions according to an algorithm, and which displays feedback about the determined quality of the chest compressions.

The utility model provides a portable intelligent temperature-control low-body-temperature emergency rewarming cap which is suitable for emergency rewarming treatment of low-body-temperature wounded persons in an outdoor extremely low-temperature environment. The rewarming cap comprises a cap body, a carotid artery rewarming device and an intelligent control system, the carotid artery rewarming device is internally provided with a graphene heating piece and a heat conduction silica gel pad, and the carotid artery is accurately heated to achieve the in-vivo rewarming effect; the intelligent control system integrates a temperature sensor and a heart rate sensor, monitors the heating temperature and the heart rate in real time, and dynamically adjusts the heating power and feeds back the vital signs of the wounded through a microprocessor; a heating patch storage box is arranged on the lower portion of the intelligent control system, a folding front chest heating patch capable of being unfolded on the chest is arranged in the heating patch storage box, the core body temperature is increased by rewarming the front chest cardiopulmonary area through the body surface, and the problems that an existing low-body-temperature rewarming device is low in efficiency of the body surface rewarming mode and inconvenient to carry are solved.

An automated chest compression device has a shaped actuator rotatably mounted about a shaft and a chest compression plate configured to move linearly based on the shape of the actuator, wherein engagement of the actuator with the chest compression plate converts rotary motion of the actuator into linear motion of the chest compression plate, and whereby, when the device is positioned against the chest of a patient in need of CPR, rotation of the actuator causes the chest compression plate to move linearly in a direction towards and away from the patient's chest and to thereby induce compression and to allow decompression, respectively, of the patient's chest.

A mobile bodily imaging system for determination of a lung fluid content is provided, comprising: a stepped-frequency radar generator that generates one or more tone and transmits the one or more tone into a chest of the patient; a sparse deconvolution inversion algorithm to detect reflection points indicating tissue interfaces within the patient and create a sparsity-based image; an initial model generated using Markov Chain Monte Carlo or Deep Neural Network estimates; and a final model generated using a neural renderer, wherein the neural renderer is provided with confirmed data that permits the neural renderer to predict the form of the reflection points, wherein the neural renderer creates an image that is compared to the sparsitybased image, and wherein the neural renderer creates refined images in a number of iterations and / or based upon a predetermined threshold of a difference between the refined neural renderer image and the sparsity-based image.

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 first-aid kit with the cardio-pulmonary resuscitation device comprises a first-aid kit body, a front face plate, a top plate and a rear face plate, the front face plate, the top plate and the rear face plate are of a U-shaped structure and wrap the first-aid kit body, grooves are formed in the two sides of the rear face plate, side plates supporting the front face plate and the rear face plate are movably installed in the grooves, and the front face plate and the rear face plate are connected through the side plates. The other end of each side plate is provided with a positioning assembly connected with the front panel. The first-aid kit is simple in structure, the first-aid kit body can be protected through the front panel, the top plate and the rear panel, during cardio-pulmonary resuscitation, the rear panel, the top plate and the front panel can be opened and transversely arranged, the width is increased after the side plates are opened, a patient can sit on the rear panel, the top plate, the front panel and the side plates, the back of the patient can be supported, and the patient can be prevented from being injured. Therefore, the cardiac compression quality is ensured.