65 results about "Respiratory Airflow" patented technology

The invention relates to the technical field of respirators, and discloses a respirator flow dynamic adjusting system based on airflow sensing, which is characterized in that after starting, a multi-mode sensing module acquires spatial flow velocity distribution and dynamic characteristics of respiratory airflow, and generates a composite data flow fused with flow field information; the composite data flow is subjected to nonlinear analysis to generate a state vector representing breathing stability, and the state vector is used for identifying fluid abnormal risks; the state vector generates an optimized execution instruction set by the self-adaptive control engine in combination with the energy state of thermoelectric conversion; the execution instruction set drives the piezoelectric valve and the shear response humidifying layer to cooperatively adjust the flow and the humidity, and outputs physiologically matched breathing gas; fusion collection of spatial flow velocity distribution and dynamic characteristics of respiratory airflow is achieved through the multi-mode sensing module, the limitation of traditional single-point measurement is broken through, and the sensing precision is remarkably improved; a breathing chaos index is constructed through nonlinear kinetic analysis, and early warning of the breathing rhythm stability and the fluid abnormal risk is achieved.

The invention belongs to the technical field of medical equipment, and particularly relates to a portable tuberculosis drug aerosol inhalation device. The device comprises a medicine storage chamber, an outflow channel and a controller, the top of the medicine storage chamber is provided with a medicine tank groove with a conical pricking pipe, and one-step medicine filling through placing and pressing can be achieved; the respiratory rhythm of a user is identified through lip contact and a respiratory airflow sensor, and the atomizer is synchronously controlled to start and stop; the system has the functions of liquid medicine identity recognition, heating temperature control and self-adaptive power adjustment based on liquid medicine storage, efficient, safe and comfortable tuberculosis medicine inhalation treatment is achieved, and the medication compliance and the treatment effect are remarkably improved.

The invention provides a thoracic surgery respiratory training system and method, and the method comprises the steps: constructing a respiratory-physiological feature tensor through the time sequence change of a respiratory airflow parameter during respiratory training in combination with the fluctuation feature of blood oxygen saturation in the respiratory training process, and carrying out the space-time convolution fusion of the respiratory-physiological feature tensor and a chest respiratory movement track, obtaining a respiratory efficiency index; constructing a taboo risk vector based on the risk relationship map of the thoracic surgery postoperative complications and the electronic medical record of the target user, and generating a complication risk entropy of the target user under the current respiratory training according to the taboo risk vector in combination with the pain tolerance physiological data; and according to the respiratory efficiency index and the complication risk entropy, determining a dynamic adaptation margin of the target user to current respiratory training, and based on the dynamic adaptation margin, dynamically adjusting the training resistance of the self-adaptive resistance adjustment respiratory training device. By the adoption of the scheme, a multi-dimensional respiratory training feedback mechanism can be constructed to conduct self-adaptive adjustment on the training resistance.

The invention discloses an obstructive sleep apnea event typing method and device based on respiratory center driving characteristics, electronic equipment and a computer readable storage medium, and belongs to the technical field of medical detection technologies and sleep medicine. According to the method, body surface diaphragm electromyographic signals and respiratory airflow signals of a subject are synchronously collected in a non-invasive mode, the body surface diaphragm electromyographic signals are preprocessed to obtain diaphragm electromyographic characteristic values, and the respiratory airflow signals are segmented and subjected to integral processing according to the respiratory cycle to obtain airflow characteristic values; selecting a characteristic value corresponding to at least one respiratory cycle before the event occurs as a reference baseline, calculating a diaphragm myoelectricity change value and an airflow change value of each respiratory cycle in the event relative to the reference baseline, and calculating the diaphragm myoelectricity change value based on a coupling relationship between the airflow change value and the diaphragm myoelectricity change value, and performing central drive dependent or non-central drive dependent judgment on the obstructive sleep apnea event. The method can provide technical support for typing analysis of the obstructive sleep apnea event.

The application provides a sleep mask for simulating a plateau environment, comprising a mask body, a mounting seat arranged on the mask body, a total air passage arranged on the mounting seat and being in communication with the outside world, and a flow resistance adjusting mechanism for adjusting the flow resistance of breathing air in the total air passage, wherein the flow resistance adjusting mechanism comprises a ventilation port arranged on an end wall of the total air passage and a flow resistance adjusting piece for adjusting the size of the ventilation port. The sleep mask for simulating a plateau environment can be used for simulating the sleep of a person in a plateau area at different altitudes. The sleep mask for simulating a plateau environment can adjust the opening of the ventilation port by the flow resistance adjusting piece during sleep, adjust the air amount entering the total air passage per unit time, and further adjust the total oxygen content inhaled by the person in each breathing cycle, so as to achieve the technical purpose of simulating the sleep in a plateau area at different altitudes in a normal altitude area.

The utility model relates to the technical field of medical auxiliary devices, in particular to a respiratory muscle training device. The air delivery pipe is horizontally arranged in front of the mouth of a patient, the training assembly is vertically and fixedly arranged at the rear end of the air delivery pipe, and the adjusting assembly is arranged at the front end of the air delivery pipe and used for adjusting breathing airflow intensity. The device aims to control the intensity of airflow breathed by a patient.

The present invention provides an anti-snoring device based on an expansion type silencer, and proposes the technical solution from the respective of eliminating the “effect” in the causality of snoring. The anti-snoring device comprises an expansion chamber, a tube, and an active noise elimination module. The expansion chamber is connected to the active noise elimination module. The active noise elimination module further comprises a secondary sound source, a microphone, and a control module. The expansion chamber further comprises an opening for sealing and shielding the mouth and nose organ and forming an acoustic system of the expansion type silencer together with the sealed and shielded face skin. The tube is a respiratory airflow channel, and is an acoustic device having acoustic impedance different from that of the expansion chamber. In this way, the anti-snoring device provided in the utility model has the beneficial effects of being wide in applicability, large in noise elimination amount, wide in noise elimination bandwidth, small in size, light in weight, and low in electric energy consumption.

The application discloses a combustion mode-based metabolite testing device and method. The metabolite testing device comprises a combustion control module, a respiratory gas flow control module, an exhaled gas heating and humidifying control module, a respiratory gas separation module, a control unit and a computer. The combustion control module is used for simulating human exhaled gas; the respiratory gas flow control module is used for simulating human respiratory flow; the exhaled gas heating and humidifying control module is used for simulating the temperature and humidity state of human exhaled gas; and the respiratory gas separation module is used for simulating the human mouth and nose breathing process. The control unit is responsible for the control of motors and valves, and the computer is responsible for data acquisition, calculation analysis and result display. The testing method is to set human metabolic parameters, connect a human metabolic tester and test, and finally perform quality inspection analysis on the metabolic parameters of the human metabolic tester according to the test result. The application can be applied to the application scene of human metabolic tester accuracy evaluation, and realizes easy, economical and effective verification of the human metabolic tester.

The invention discloses a respiratory support system and method with in-vitro negative pressure cooperating with electrical stimulation. The method comprises the steps that a signal detection module collects body surface respiratory muscle electromyography, thoracic posture, thoracico-abdominal deformation and respiratory airflow signals of a patient in real time; the negative pressure ventilation module generates negative pressure outside the thorax of the patient through a thoracic nail, a vacuum pump, a pressure reducing valve and a two-position three-way valve to reduce the pressure of a pleural cavity and pulmonary alveoli; the constant-current electrical stimulation module applies constant-current electrical stimulation to the diaphragm to enhance the contractility of the diaphragm; the control module receives the respiratory physiological signal, judges the respiratory intention of a patient through a built-in respiratory intention recognition algorithm, and controls the negative pressure ventilation and electrical stimulation module to realize triggering of an inspiration phase and an expiration phase and man-machine synchronization; through the synergistic effect of negative pressure ventilation and electrical stimulation, the respiratory support effect and man-machine synchronism are improved, and the device is suitable for adjuvant therapy of respiratory dysfunction patients.

The invention relates to the technical field of medical data analysis, in particular to an intelligent screening method for respiratory disorders. According to the method, the key feature point sequence is constructed by accurately recognizing the speed peak value and the change inflection point in the continuous respiratory airflow data, fine description of the dynamic structure of the respiratory rhythm can be achieved, and then the dynamic structure of the respiratory rhythm can be obtained according to the change trend of the time interval between the key points. Long-time respiration monitoring data are automatically segmented into a plurality of sections capable of reflecting different expressions such as rhythm stability, acceleration or deceleration, so that a context with physiological significance is provided for subsequent analysis, and the irregularity of the respiration rhythm in each section is quantized by utilizing an information entropy theory; according to the method, an objective index for measuring the rhythm stability can be obtained, and pseudo events caused by swallowing, body movement and the like can be effectively filtered out by judging whether the change of the rhythm entropy value before and after a suspected pause event is obvious or not and combining with confirmation of the airflow amplitude contraction trend before and after pause.

The invention discloses an airway sealing connector for a prone position of a mechanical ventilation patient and an application method of the airway sealing connector. The airway sealing connector comprises a connector body, wherein a patient end connector and an equipment end connector are arranged at the two ends of the connector body respectively; a central airflow channel communicated with the patient end connector and the equipment end connector is formed in the connector body in a penetrating mode, and an intelligent sealing mechanism is arranged in the central airflow channel and used for monitoring breathing airflow and automatically or manually controlling on-off of the central airflow channel at the same time. The connector body is provided with a manual control button for manually controlling the opening and closing of the intelligent sealing mechanism, a power supply unit for supplying power to electrical elements in the connector, and a mode selection switch which is electrically connected with the intelligent sealing mechanism and is used for switching a closing signal of the intelligent sealing mechanism into an expiration / inspiration end-closing mode in an automatic control mode. According to the invention, the preset PEEP level in the airway of the patient can be actively maintained under the condition that the breathing machine is transferred or replaced during the body position conversion period of the patient between the supine position and the prone position, so that the risk of breathing machine-related pneumonia is reduced.

The invention relates to the technical field of intelligent medical bionics, and discloses an intelligent sputum excretion method and system and a storage medium. The method comprises the following steps: receiving three types of real-time monitoring signals, namely respiratory airflow waveform, thoracic cavity vibration frequency and laryngeal sound spectrum, and carrying out space-time alignment and coupling processing on the signals to generate a multi-dimensional physiological state image. Analyzing the image to extract three types of physiological modes corresponding to sputum accumulation, namely limited airflow, vibration attenuation and turbid sound, and inputting the physiological modes into a bionic decision core; the core simulates a human body autonomous sputum excretion nerve reflex mechanism, the mechanism is compared with a standard sputum excretion reflex mode library, a sputum excretion trigger instruction containing intensity grade and duration parameters is generated, and sputum excretion intervention is executed. The system can dynamically update the physiological state image, adjust the instruction based on the response change atlas, and realize the early accurate recognition and intelligent bionic decision of the expectoration demand.

The present application relates to the field of medical detection, especially to a kind of medical examination auxiliary device.The medical examination auxiliary device of the present application is connected with two connecting heads respectively fixed with two inner clamping blocks on head pad through fixing belt and elastic belt, hollow passage is arranged in right fixed seat and left fixed seat between the two connecting heads, to avoid interfering with the flow of respiratory airflow, the slight outward expansion extrusion force of inner clamping block is applied to the inner side of children's ala nasi by elastic belt, the airflow detection sensor on the inner clamping block can be easily fixed in the nostril of children, at the same time, the nostril of children is kept in the state of expansion, to ensure that the respiratory airflow in the nasal passage of children flows normally.Improve the technical problem that the existing medical detection device for sleep breathing disorder of children exists when detecting the sleep breathing of children in nasal region, the accuracy of detection is affected due to the interference of children's respiratory patency.

The invention belongs to the technical field of medical rehabilitation instruments, and particularly relates to an intelligent control method and system based on a full-chest vibration sputum excretion machine, and the control method comprises the steps: obtaining a respiratory airflow signal and chest wall impedance of a patient; the current breathing phase of the patient is judged according to the continuous breathing airflow signals, and a vibration head of a corresponding lung lobe area is controlled to be activated to vibrate within a set frequency range; calculating a sputum fluidity index according to the chest wall impedance of different chest wall areas, wherein the sputum fluidity index is in positive correlation with the variable quantity and the vibration frequency of the chest wall impedance; the vibration parameters of the vibration head at the corresponding position are adjusted according to the size of the sputum fluidity index. According to the scheme, the targeting, efficiency and safety of sputum excretion are remarkably improved, and personalized and refined intelligent sputum excretion treatment is achieved.

The invention provides an oxygen supply control method and device integrated with a call function, a medium and a product, and relates to the technical field of oxygen mask communication.The method comprises the steps that when a voice signal is detected in a target mask, a breathing airflow field distribution parameter and an oxygen concentration parameter in the target mask are collected; an airflow high-intensity area and an airflow low-intensity area are determined according to the breathing airflow field distribution parameters, and the oxygen supply demand quantity is determined according to the oxygen concentration parameters; oxygen supply gas flow is guided into the gas flow high-intensity area according to the oxygen supply demand quantity, and a voice transmission channel is constructed in the gas flow low-intensity area; flow parameters of oxygen supply gas flow are adjusted in the gas flow high-intensity area, and a vortex gas flow layer is generated; the oxygen concentration of the airflow high-intensity area is monitored in real time, and a voice signal is transmitted to a target receiving end from a voice transmission channel. The technical problem that the communication quality of the oxygen supply mask in the oxygen supply process is poor in the related technology is solved, and the technical effect of improving the communication quality of the oxygen supply mask in the oxygen supply process is achieved.

The present application relates to the field of breath detection, in particular to a breath detection substrate structure, a breath detection structure and a system. The breath detection substrate structure comprises a substrate body and two groups of folding arm units arranged on the substrate body, the two groups of folding arm units are arranged side by side, the first folding arm and the second folding arm can be folded towards the first surface of the substrate body, the first folding part comprises a first breath sensor, and the third folding part comprises a second breath sensor. The breath detection structure is obtained by arranging the first breath sensor and the second breath sensor, the obtained breath detection structure senses the airflow exhaled from the nostrils, detects the pressure change of the respiratory airflow to realize the detection of the respiratory frequency and depth, has the advantages of simple structure and miniaturization, and can be widely applied to the fields of medical diagnosis, ventilator monitoring and sports health detection.

The invention discloses a real-time monitoring system and method for scoliosis correction training, and relates to the technical field of scoliosis correction. According to the real-time monitoring system for scoliosis correction training, spine postures and respiratory airflow data are synchronously obtained through the data acquisition module, after multi-source data feature extraction, a training scheme is accurately matched through the correction training scheme matching module, and then the training effect is evaluated in real time and fed back in time through the correction process effect evaluation module; personalized and dynamic monitoring and adjustment of correction training are achieved, the pertinence and effectiveness of training are improved, the quality and efficiency of scoliosis correction training are improved, and the problem that in the prior art, scoliosis correction training lacks real-time and cooperative monitoring of spine postures and respiratory airflow, and the training efficiency is poor is solved. And the problems of inaccurate training scheme matching and untimely training effect evaluation are solved.

The application provides a method and system for promoting diaphragm recovery by abdominal compression based on respiratory depression recognition, relates to the technical field of respiratory function rehabilitation, and comprises the following steps: acquiring chest and abdominal movement signals and respiratory airflow signals, calculating respiratory state representation parameters to determine respiratory depression, calculating pressure conduction efficiency of a compression point based on the chest and abdominal movement signals and establishing a pressure superposition constraint relationship, generating force coordination control parameters and periodic compression control instructions, and driving a compression device to apply mechanical stress and realize real-time optimization. The method can accurately identify the respiratory depression state, accurately control and adaptively optimize the compression force, and effectively promote diaphragm function recovery.

This invention discloses a wearable respiratory monitoring device based on an ultra-low heat capacity thermistor, belonging to the field of respiratory monitoring technology. It includes: an ultra-low heat capacity thermistor, mounted on a wearable carrier close to the human respiratory airflow path, for real-time sensing of temperature changes caused by respiratory airflow and converting them into measurable resistance changes; a resistance acquisition module for real-time acquisition of the resistance changes of the ultra-low heat capacity thermistor and outputting a resistance signal; a controller for receiving the resistance signal and converting it into corresponding temperature data according to a preset resistance-temperature dependence relationship; and a preset algorithm for analyzing and processing the temperature data to identify various respiratory states, while generating temperature change curves, respiratory frequency, and average respiratory temperature difference corresponding to each respiratory state; and a power supply module for providing operating voltage to the controller. This invention balances monitoring accuracy and device portability, meeting the needs of daily life.

The invention relates to the field of diving glasses, in particular to underwater breathing diving glasses with a breathing safety monitoring function. Comprising a diving goggles body, a breathing nozzle, a breathing bin, a gas sensing unit, a pressure sensing unit, a warning alarm unit and a signal control unit, an airflow channel communicated with a breathing cavity is formed in the breathing bin, a breathing air pipe is arranged at the end of the breathing bin, and an exhaust channel is formed in the peripheral side of the breathing bin; and the signal control unit is configured to divide an inspiration phase and an expiration phase in a respiratory cycle based on the pressure dynamic signal, and collect carbon dioxide concentration data output by the gas sensing unit only at the inspiration phase. The pressure sensing unit and the gas sensing unit are integrated in the breathing bin, breathing phase recognition is achieved in combination with the signal control unit, the carbon dioxide concentration is selectively sampled only in the inspiration phase, false alarm is effectively avoided, and meanwhile, the isolating membrane structure is matched, and reliable operation of the gas sensor under breathing airflow is guaranteed.

The invention discloses a safety early warning method and system applied to neonatal feeding, and relates to the technical field of medical diagnosis and physiological monitoring, and the method comprises the steps: collecting a closed state signal of the laryngeal anorexia cartilage of a neonatal in real time, and generating a continuous epiglottis closed angle change curve; synchronously collecting a respiratory airflow state signal of the newborn in real time, and identifying a continuous time period of apnea; on the basis of the epiglottis closure angle change curve and the continuous time period of apnea occurrence, calculating an overlapping duration proportion of a time period when epiglottis closure reaches or exceeds a preset closure angle threshold value and an apnea time period; comparing the calculated overlapping duration ratio with a first safety threshold value; when the ratio of the overlapping duration is lower than a first safety threshold value, generating a first risk early warning signal representing the risk level of the swallowing breathing coordination; and triggering grading intervention operation according to the risk grade corresponding to the first risk early warning signal.

The invention discloses a nasal spray device for vaccination, and belongs to the technical field of vaccination, the nasal spray device comprises a liquid medicine bin assembly, a nasal spray assembly and an air valve assembly, the nasal spray assembly is in locking connection with the liquid medicine bin assembly through a nose bearing main body and an air guide flow channel on the nose bearing main body, and an air guide hole in an air guide shell is aligned with the air guide flow channel; the air valve assembly is fixed to the back side of the air guide shell through a valve plate body, an air inlet valve port and an air outlet valve port are formed in the air valve assembly and attached to the air inlet valve plate and the air outlet valve plate respectively, the air valve is used for coordinating breathing airflow and balancing air pressure so as to improve the atomization comfort level, a breathing triggering mechanism can synchronize autonomous inspiration of a patient and liquid medicine atomization spraying, efficient delivery is achieved, and the atomization effect is good. Meanwhile, expiration waste heat is used for preheating liquid medicine, airway stimulation of low-temperature aerosol to patients with high sensitivity such as asthma and allergic rhinitis is effectively reduced, adverse reactions are prevented, and therefore the deposition and absorption efficiency of medicine at a target part is improved.

The present application relates to the technical field of intelligent monitoring, in particular to a child rhinitis nebulization treatment control system and method based on behavior guidance and intelligent monitoring, the system comprising: a voice emotion analysis module, a respiratory airflow monitoring module, a rhythm feature quantification module, a respiratory behavior guidance module, and a nebulization drug release control module.In the present application, the internal emotional tendency is quantified by extracting the audio spectrum features to establish the classification boundary and determine the mapping relationship between the acoustic parameters and the state code, then the multi-dimensional respiratory airflow extreme value data is collected and the adjacent time stamp difference points are matched to calculate the duration of a specific stage, the deep breathing features are constructed, the rhythm deviation degree is fused with the reference amplitude to generate a compensation factor to update the visual animation track to realize dynamic intervention guidance, the guided parameters and the state code are spliced and fused, the rate adjustment instruction is generated according to the comprehensive judgment result, and the on-demand drug delivery for different deep and shallow breathing rhythms is realized to avoid drug liquid waste and greatly improve the absorption and conversion effect.

This invention discloses a functional prototype of an external head-mounted odor pickup device for an artificial nose, belonging to the interdisciplinary field of analytical detection technology and wearable devices. It adopts an integrated hat-and-glasses design architecture. The overall structural layout uses a modular design, integrating multiple modules into the hat, with the glasses section housing the air intake pipe. The concealed airway system utilizes the structure from the temples to the nose pads as the air intake pipe, delivering gas from the nose pads to the brim air chamber via micro-tubes, and then expelling it from the back of the hat. The optical path adaptive air chamber dynamically adjusts the position of the optical signal receiver using a micro-actuator, combined with a control algorithm to achieve intelligent adjustment of the optical path. The periodic sampling and signal processing method monitors the respiratory cycle using a respiratory airflow sensor, performing gas sampling and detection during inhalation and airway cleaning during exhalation, achieving a detection cycle synchronized with the respiratory rhythm. This system achieves accurate detection and long-term dynamic monitoring of the wearable electronic nose over a wide concentration range.

The application discloses a method for fine-grained respiratory interaction based on visual and auditory detection, comprising the following steps: acquiring respiratory parameters based on respiratory types, and constructing a respiratory input method of an interactive vocabulary; based on the respiratory input method of the interactive vocabulary, designing several characteristic parameters of a respiratory vector representing respiratory interaction actions, and acquiring respiratory intensity, respiratory direction, whether inhaling, respiratory time, respiratory frequency, expression information and volume information from the several characteristic parameters; constructing a visual and auditory double-channel detection model, inputting the expression information and the volume information, and completing respiratory detection. The application realizes the recognition of multiple respiratory action characteristic parameters including respiratory action airflow intensity, respiratory airflow direction, respiratory airflow type and the like based on the combination of images and voices.

The invention discloses a wearable clean clothes system for monitoring the activity state of a human body, belongs to the crossing field of a clean room technology and intelligent wearable equipment, and is suitable for high-cleanliness environments such as semiconductors and biopharmacy. The intelligent clean clothes comprise a clean clothes body, a multi-parameter sensor module, a data processing and communication module, an early warning module, an intelligent management module and a power supply module. The multi-parameter sensor module is used for collecting the operation frequency and intensity of personnel, the generation amount of particulate matters of 0.3-5.0 [mu] m, breathing frequency, breathing airflow and fog drop data and electrostatic charges in real time; the data processing module judges the pollution risk level through operation-pollution association, breathing pollution diffusion and other models; the early warning module is used for grading local warning and remote alarming; and the intelligent management module is linked with iris access control, and adjusts the personnel access permission according to the risk level. The problems of incomplete monitoring and passive management in the prior art are solved, comprehensive capture, accurate pre-judgment and active management and control of personnel pollution risks are realized, and the product quality is guaranteed.

Disclosed is an autoCPAP respirator which comprises a control unit, a respiration blower and a pressure sensor. The control unit comprises a controller for generating a first control signal, which induces the speed of the blower to generate a pressurized breathing gas flow, a controller for generating a periodically variable control signal, which activates the blower such that the speed of the blower varies in an oscillating manner at a frequency in the range of 1-20 Hz, and a sensor device, which ascertains one or more of instantaneous speed, instantaneous electrical current and instantaneous electrical power of the blower to determine the breathing gas flow and / or breathing gas volume generated by the blower while using characteristic data of the blower stored in a memory.

The present application relates to the technical field of lung training, and particularly relates to a respiratory pressure detection method, device and computer equipment. The respiratory pressure detection method comprises the following steps: S1. simulating respiratory airflow; S2. training device load setting; S3. obtaining pressure feedback data; S4. obtaining a function formula of a respiratory weight / pressure curve; S5. obtaining a function formula of a respiratory flow rate / pressure curve; S6. respiratory pressure calculation; S7. respiratory capacity calculation; and S8. respiratory work calculation. The respiratory pressure detection device and the computer equipment are used to execute the respiratory pressure detection method. The respiratory pressure detection method establishes a function relationship between the respiratory weight / pressure curve and the respiratory flow rate / pressure curve. In the training process, the user can know the current respiratory pressure threshold and real-time respiratory pressure according to the weight of the weight and the respiratory flow rate, and can know the respiratory capacity and respiratory work generated in the training process, so as to guide the user to set a respiratory training plan in line with the health of the user's body.

Ventilation system (having a ventilator and having a diagnostic device, wherein the ventilator comprises a ventilation unit for generating a respiratory gas flow for ventilation and a detection unit (for detecting a ventilation signal characteristic for the respiratory gas flow over time. The diagnostic device comprises a sensor unit for detecting a diagnostic signal over time. The synchronization unit is operationally connected to the detection unit and the sensor unit and is suitable and configured for studying a time curve of the ventilation signal and a time curve of the diagnostic signal respectively for a signal change caused by the same event and bringing the curve of the ventilation signal and the curve of the diagnostic signal into chronological correspondence so that the event occurs simultaneously in both signal curves.