294 results about "Respiratory frequency" patented technology

Provided is a configuration capable of executing a detection test for a comfort level including the quality of sleep, which is measurable at home without requiring the measurement of brain waves or electrocardiogram. The respiratory waveform of a subject during sleep is continuously measured and recorded from the respiratory gas flow, etc., and is window-Fourier transformed at each measurement time to generate a frequency spectrum, and a bandwidth including a respiratory frequency is extracted. The index indicating the regularity of the respiratory period of the subject is also calculated at each time point during the sleep, and the time-dependency of this index during the sleep is represented as a graph. A medical device includes a sleep evaluation system equipped with a control means for performing control so that a sleep cycle repeated at a cycle of about 90 minutes is clearly observed if the comfort level including the quality of sleep of the subject is favorable.

A method and apparatus for monitoring changes in the intra-thoracic pressure of a patient due to the patient's respiratory activity or volumetric changes in the extra-thoracic arterial circulatory system due to cardiac function based on the changes in pressure in the patient's extra-thoracic arterial circulatory system as measured by a plethysmography sensor, such as an photoplethysmograph. A frequency spectrum is generated for the plethysmograph signal and the frequencies of interest is isolated from the frequency spectrum by setting appropriate cutoff frequencies for the frequency spectrum. This isolated frequency is used to filter the plethysmograph signal to provide a signal indicative of the patient's respiratory activity or cardiac function. For corrections for breathing frequency roll-off and deviations of the I:E ratio from 1:1.

Method and apparatus for controlling a ventilator are described. The invention can be used to control mechanical ventilators as well as respiratory assist devices such as CPAP machines. The apparatus receives input data indicative of patient's oxygen level. A controller determines PEEP, or CPAP, and FIO2, on the basis of data indicative of the patient's oxygen level. In an alternative embodiment, the apparatus further receives input data indicative of patient's carbon dioxide levels, respiratory elastance and airway resistance, and barometric pressure. The controller further utilizes the said input data to determine the optimal values of tidal volume and breathing frequency for a next breath of the patient, and uses the respiratory elastance and airway resistance data to determine any necessary adjustments in the I:E ratio. The controller also applies safety rules, detects and corrects artifacts, and generates warning signals when needed.

The apparatus includes a cylinder for containing a pressurized therapeutic oxygen gas, a nasal cannula, adapted to be introduced into a nasal passage of a patient, and a conduit extending between the cylinder and the nasal cannula for directing the therapeutic oxygen gas to the nasal cannula from the cylinder. A pressure sensor is provided on the conduit for detecting the pressure in the conduit. A valve is provided, in the conduit, which allows and blocks the fluid communication between the cylinder and the nasal cannula. A controller controls the operation of the valve in synchronization with the respiration of a patient, based on the changes in the pressure detected by the pressure sensor. The volume of the oxygen therapeutic gas passing through the valve for each respiration is increased, compared with a normal respiration condition, when the respiratory frequency increases.

The invention relates to a method for measuring key physiological parameters in noncontact manner, such as blood pressure and its change rate, electrocardiogram, blood oxygen saturation, respiratory frequency, and heart rate and its change rate. The key physiological parameters can be measured by analyzing plethysmographic signals and bioelectric signals collected by a sensor or a probe without contacting human body. The device adopted in the method has wider application scope than the conventional contact measurements, can be applied in particular environments such as mobile ambulance or battle field treatment, and can also be integrated in auxiliary facilities such as bathtub, bed and coach in everyday life. The device has the advantages of simple and easy operation, no affect to users' activities during measurements of physiological parameters, and no requirement of active intervention of users, and can provide safe, economical and practical, nondestructive real time continuous monitoring of physiological parameters for users.

The invention discloses a cuff-free portable device for monitoring a human physiological parameters and a method. An optical signal receiver inside a shell is connected with a signal amplifying module, a signal filtering module, an A / D conversion module and a singlechip in turn; the singlechip is externally connected with a data storage; a shell connecting strip is tied on the human wrist; and the surface of the shell is provided with a liquid crystal screen. A photoelectric detection module is arranged on the back of the shell and contacted with the body surface skin corresponding to the radial artery; a chip temperature sensor is arranged in the middle of the back of the shell and contacted with the wrist skin; the photoelectric detection module calculates the acquired human body pulse wave light volume description signals to acquire the parameter values of the human blood pressure, blood oxygen saturation, heart rate and respiratory frequency through the extraction of the signal characteristic time and calculation of a signal power spectrum; and a human body surface temperature signal is acquired by the temperature sensor. The cuff-free portable device for monitoring the human physiological parameters can non-invasively, comfortably, accurately display a plurality of human physiological parameters in real time.

The invention relates to an intelligent pillow capable of monitoring sleeping information of a user, which includes a pillowcase and an inner container, wherein the inner container is arranged in inner container space formed by the pillowcase; at least one air bag is distributed on the obverse side of the inner container, an air nozzle is arranged on the air bag, and the air nozzle is positioned on the reverse side of the inner container; a sensor is also arranged inside each air bag, and each air bag is close to the surface of the pillowcase; each sensor is also connected with a processor; and each processor is connected with a sound sensor which is used for acquiring sleeping information such as respiratory rates, respiratory frequency and respiratory apnea of a user during sleeping. The intelligent pillow has the advantages as follows: 1, sleeping information such as pressure, aspiration, snore, head distribution and head movement of the user during sleeping can be acquired through the multiple sensors and the multiple sound sensors; and 2, the multiple-air bag design enables the sleeping quality of the user to be detected more accurately, is stable and comfortable, can provide bases for preventing and curing the obstructive sleep apnea syndrome, helps the user change sleeping habits and improves the sleeping quality and the health of the user.

A real-time monitor system for the fatigue degree of car driver is composed of a car carried computer, a throttle pedal depth sensor, and a respiratory sensor for the car driver to measure its respiratory frequency and depth.

A method, such as in a controller associated with a respiratory therapy device, determines whether high flow therapy is being used by a patient. The method may include determining whether a property of a flow of air being delivered by a respiratory therapy device along an air circuit to an unsealed patient interface contains a significant oscillation within a breathing rate frequency band. The method may also include generating, dependent on the determination, an indication of whether high flow therapy is being used by the patient.

The invention discloses a biofeedback training system which comprises a biological information feedback device and an intelligent terminal. The biological information feedback device at least comprises sensors used for collecting biological information representing a body state; the intelligent terminal comprises a signal receiving unit, an evaluation and training feedback unit and a display unit; the signal receiving unit receives the biological information representing the body state in real time; the evaluation and training feedback unit generating evaluation feedback information according to the biological information received within a period of time, and the evaluation feedback information is used for showing a synchronous trend of the heart rate and respiratory frequency within the period of time; the display unit at least continuously supplies the evaluation feedback information to a user and guides the user to change the biological information by adjusting the body state till the heart rate and the respiratory frequency reach resonance. The biofeedback training system can obtain the biological information and the evaluation feedback information in real time and effectively conduct real-time training guidance on the user, and the training effectiveness and a good using feeling of the user can be improved to a certain extent.

The invention provides a sleep monitoring method and device and a radar system based on a frequency modulated continuous wave millimeter wave radar. The method comprises the steps that a first reflection signal of target space under an unmanned state and a second reflection signal of the target space under a manned state are collected through the frequency modulated continuous wave millimeter waveradar; the frequencies of the first and second reflection signals are mixed with a local oscillating signal respectively to obtain a first frequency mixing signal and a second frequency mixing signal, wherein the local oscillating signal is a signal which has the same frequency as a transmission signal from a moment generated by the frequency modulated continuous wave millimeter wave radar. The respiratory frequency, heart beating frequency and body turning frequency of a target person are obtained according to the first and second frequency mixing signals. A detecting signal is extracted ina manner in which the frequencies of the transmission signal and a receiving signal are mixed, the circuit designing is simple, resources consumed by hardware is less, and the cost is saved.

The utility model relates to a real-time state monitoring system, in particular to a real-time monitoring system for the state of an automobile driver, which comprises a pressure sensor, a respiration sensor, a three-direction acceleration sensor, shock absorbing springs, a communication interface module, a signal output interface, a signal acquisition and analysis module and an alarm module. The weight and the height of the driver can be assessed through various sensors of the monitoring system installed on a driver seat to realize the real-time monitoring of gravity center moving frequency and respiratory frequency, the early warning of a driving fatigue state is realized and data support is provided for the opening state of an air bag under emergency circumstances through the signal acquisition and analysis module, the alarm module and the communication interface of the air bag, and the output and the saving of monitoring data can be realized through the signal output interface. By using the real-time monitoring system for the state of the automobile driver, the weight and the height of the driver can be assessed, the fatigue state of the driver can be rapidly and accurately judged in real time, traffic accidents are avoided and the injuries caused by the traffic accidents are reduced.

The invention relates to a sleep aid matched with respiratory frequency and a sleep aid method. The sleep aid matched with respiratory frequency comprises a lamp, a detection unit, a control unit and an acoustic-optical information feedback unit are arranged in the lamp, and the detection unit comprises a detector and a signal regulating circuit. The sleep aid method includes detecting the respiratory frequency of a user, calling an acoustic-optical control module so as to control to turn on and off light signals rhythmically according to the respiratory frequency of the user, playing sound intervals within the corresponding periods, determining the attenuation time of sound and light, prolonging the sound and light period, reducing sound and light strength, and finally turning off the sleep aid. By the sleep aid matched with the respiratory frequency and the sleep aid method, the sleep aid process is matched with the respiratory frequency of the user, personalized sleep aid is realized, and the user is naturally guided to fall in sleep by gradually reducing sound and light strength and frequency. Accordingly, the sleep aid matched with respiratory frequency and the sleep aid method have the advantages of high effect, low side effect and wide application range.

The invention provides a non-touch-type real-time measurement method for human respiratory parameters. The method comprises following steps: (1)generating Wi-Fi signals near a human body, collecting channel state signal CSI of the Wi-Fi signals; (2) de-nosing the channel state signals CSI collected; (3) dividing the CSI signals into different periods such that features of each signal are the same in the same time period; (4) extracting frequencies, periodicities and amplitude values of sub-carriers from multiple sub-carriers in each section of CSI signals such that central frequencies and respiratory amplitude values of each section of CSI signals are obtained by weighted average calculations. The invention provides a system achieving the above method. The method has following beneficial effects: by monitoring channel state information of Wi-Fi signals near the human body, feature value showing respiration of the human body can be extracted and real-time respiration frequencies can be calculated. Without installing intrusive sensors on the human body, the method does not expose privacy of the human body.

The invention relates to a multiparameter transmission unit, comprising human physiology signal acquisition module, central control module and remote transmission module. The human physiology signal acquisition module provides the acquired human physiology signal to the central control module and the central control module processes and transfers the signal to the remote transmission module. The remote transmission module is composed of diverter switch, flush type Modem, flush type device server Xport and distal monitoring computer, wherein the central control module is connected with the diverter switch and the remote transmission module accesses to the network through flush type Modem and flush type device server Xport and transfers the data to the monitoring computer, under selection control of diverter switch. The multiparameter transmission unit can detect physiological parameters such as human cardiogram, blood pressure, blood sample saturation and respiratory frequency, implement the remote monitor of medical care personnel by telephone network or internet. The multiparameter transmission unit has features of simple structure, low cost, convenience of being carried, and higher applied cost when the telephone network or internet is popular.

The invention discloses a non-contact driver fatigue detection method based on a millimeter-wave radar. A millimeter-wave radar is used to collect a thoracic cavity vibration signal of a driver in a driving process; after the thoracic cavity vibration signal is preprocessed, the heart rate signals and respiratory signals of different frequency bands are separated; the heartbeat frequency and the respiratory frequency of the separated heart rate and respiratory signals are calculated by adopting a wavelet transform method, and seven derived physiological characteristics are calculated; by exploring the change rule of the physiological features along with time, the physiological features are found to show a good linear change trend along with accumulation of driving time; and the random forest algorithm based on Bayesian optimization effectively discriminates occurrence of fatigue time, and algorithm accuracy can be improved compared with algorithm accuracy of an original random forest model. According to the invention, the discomfort brought to a driver when the driver wears various devices to carry out physiological signal detection is solved, detection cost is reduced, the fatiguemoment of the driver can be accurately predicted, fatigue early warning is sent to the driver, and therefore, the traffic accident rate caused by fatigue is reduced.

The invention discloses a radar based respiration and heartbeat signal detection method and system. The method comprises the steps of A, judging whether a target exists based on a transmitting signaland a receiving signal; and B, performing the following processing on a mixed vital sign signal of the target: B1, performing high-pass filtering and FFT on the mixed vital sign signal to obtain firstfrequency spectrum data; B2, if the frequency corresponding to a maximum amplitude value point is within a respiratory frequency range and the maximum amplitude value point exists at a Q frequency doubling position and / or near the Q frequency doubling position of the frequency, taking the frequency as a respiratory dominant frequency; B3, decomposing the mixed vital sign signal of the target based on empirical wavelet transform; and B4, if the maximum value frequency of a third component or a fourth component is within a preset heartbeat frequency range, taking the maximum value frequency asa heartbeat dominant frequency. Based on the empirical wavelet transform, respiration and heartbeat signals are adaptively separated and the frequencies of the respiration and heartbeat signals are accurately extracted, and the respiration and heartbeat frequencies of multiple persons can be simultaneously extracted and separated for a broadband / ultra-wideband radar.

The present invention describes a method of tracking minute ventilation from R-R intervals that are based on the acquisition of ECG signal. Sub-methods (RDF1), which are mainly based on heart rate variability, are used, wherein the respiratory frequency is determined from a pattern of rhythmic changes in heart beat data. The sub-methods (RDF1-n) are combined using an expert function, wherein each sub-method (RDF1-n) determines an estimate of the respiratory frequency.

The invention provides a physical sign monitoring vibration device. The physical sign monitoring vibration device is characterized by comprising a wearable body, an electrocardiogram acquisition portion, a pressure acquisition portion, a signal amplification portion, a filter portion, an analog-digital conversion portion, a signal conversion portion, an oxygen saturation calculation portion, a normal range value storage portion, a vibration portion, a judgment portion and a control portion, the control portion is connected with the analog-digital conversion portion, a temperature value calculation portion, a heart rate value calculation portion, a respiratory frequency value calculation portion, the oxygen saturation calculation portion, a temperature value storage portion, a heart rate value storage portion, a respiratory frequency value storage portion, an oxygen saturation storage portion, an alarm sending portion and the judgment portion respectively, and the vibration portion vibrates under the control of the control portion when a monitored person is in a snoring state. The physical sign monitoring vibration device has the advantages that the monitored person can wear the physical sign monitoring vibration device, so that heart rate signals and pressure signals of the lung of the monitored person can be monitored in real time when the monitored person sleeps, and vibration effects can be realized when the monitored person snores.

The invention provides a non-contact breathing detection method, including the steps: receiving radio frequency signal through at least two receiving antennas; conjugating multiplication of the firstchannel state information and the second channel state information corresponding to the radio frequency signals received by any two receiving antennas to construct a third channel state information; Analyzing features in the third channel state information to determine an optimal respiration detection feature; and calculating a respiratory frequency according to the optimal respiratory detection feature. The invention utilizes the radio frequency signal transmitted by the commercial WiFi equipment to realize the detection of the target breathing frequency. The conjugate multiplication method is used to solve the phase shift problem of commercial WiFi, and the amplitude feature and phase feature are combined for respiration detection, which realizes the respiration detection of commercial WiFi without blind area. In addition, the technical proposal provided by the invention also has the advantages of non-intrusion, convenience, low cost and the like in practical application.

The invention relates to a method for measuring the heart rate and the respiratory frequency of a human body. The method comprises the following steps of 1, obtaining a video image of a tested object; 2, resolving the video image into an image frame series; 3, inserting and generating N frames of images in the adjacent image frames; 4, detecting the position of a located region of a face in each frame of image; and 5, performing statistics according to the change of the position of the located region of the face in an image frame system to obtain the face fluctuation frequency of the tested object, i.e. the heart rate of people. The method has the advantages that a plurality of frames of images are inserted and generated in the image frames of the video image of the tested object; after the video slowdown at a certain ratio, the heart rate and the respiratory frequency of the human body are obtained according to the fluctuation and color change conditions of the located regions of the face and the chest cavity in the slowdown video image frame; the remote heart rate and breath monitoring is realized; the remote real-time monitoring on the heart rate and the breath of the tested object is facilitated; and the body condition of the tested object can be mastered in time.

The invention provides an on-line water quality monitoring method based on computer vision monitoring of vital signs of fins. A non-contact computer vision observation method is used for monitoring in real time the vital signs of medaka fish which is sensitive to change of water quality and serves a model organism, and the vital signs comprise a respiratory rate and a respiratory amplitude value which serve as physiological features, and the pectoral fin swinging frequency, the tail fin swinging frequency and the swinging amplitude value which serve as motion features. The monitoring of the water quality is realized according to the vital signs of the medaka fish. The method is reliable and easy to realize, has the advantages of instantaneity, reliability and the like, and can supply certain support and reference to development of biological type water quality monitoring and prewarning.

The invention relates to a method for automatically calibrating the tidal volume of an anesthetic machine, comprising the following steps that: firstly, the respiratory frequency and the respiratroy quotient of the anesthetic machine are set; secondly, an initial point and a plurality of intermediate flow rate points are selected as index points within a calibrated flow rate range; thirdly, the value of the tidal volume is obtained through calculation of a formula V=FT; fourthly, a calibrated tidal volume measuring device is used as reference to search for calibrated tidal volumes one by one and automatically save PWM values of searched tidal volumes; fifthly, a fitting curve chart of the flow rate L and the PWM values is established by utilization of the calibrated tidal volumes according to the set respiratory frequency, the set respiratroy quotient and the corresponding flow rate calculated in the formula of the third step; the flow rate value can be calculated according to the set tidal volume under the condition of the set respiratory frequency and the set respiratroy quotient; and the PWM value at the time can be calculated according to the fitting curve chart to control the flow rate, thereby the method realizes automatic calibration of the tidal volume and avoids affection of the dead space volume of devices, the aperture of pipes, the self weight of windboxes and the external factors on calibration of the tidal volume.

The invention discloses a wireless monitoring device for infant apnea, which comprises a respiratory signal detection module for emitting microwave signals to detect infant respiratory conditions, an apnea detection module for comparing detected respiratory signals and converting frequency and a sound and light alarm module for comparing with a preset threshold and triggering an alarm. The wireless monitoring device for infant apnea wirelessly detects infant respiratory signals and then converts the signals to respiratory frequency signals and voltage signals. After the signals are compared with the preset threshold, when frequency is found to be too low so that apnea is caused, the alarm signals are triggered. By means of the sound and light alarm, guardians are informed and correct sleep positions of infants timely or do other treatments to ensure normal respiration of the infants.

The invention discloses a health monitoring system based on a smart home. The health monitoring system comprises a non-wearable sleep monitoring device, a control terminal and the smart home. The non-wearable sleep monitoring device is connected with the control terminal in a wireless communication mode. The control terminal is connected with the smart home in a wireless communication mode. The non-contact sleep monitoring device comprises a pressure sensor, a body temperature sensor, a breathing frequency sensor and a communication module. The control terminal comprises a display module, an input module, a communication module and a processor. The smart home comprises an intelligent air conditioner, an intelligent humidifier and an intelligent noise silencer. The smart home receives a control instruction of the control terminal to perform corresponding motions including startup and shutdown and automatic adjustment of the switch size. The health monitoring system based on the smart home has the following beneficial effects: the integration of information management technology and the smart home, sleep quality of a user is monitored; a sleep environment is intelligently controlled; the favorable sleep environment is created; and the purposes of improving sleep and promoting physical health are fulfilled.

The invention relates to an intelligent chair used for measuring human physiology parameters. The intelligent chair comprises a seat, a back connected to the seat, a support bar used for supporting the seat and a support foundation connected to the support bar; the back is provided with fiber bragg grating strain sensors; the seat is provided with a fiber bragg grating strain sensor; all the fiber bragg grating strain sensors are serially connected through an optical fiber; and a photoelectric module and a data processing module are connected to the optical fiber led out from the seat. The intelligent chair in the invention is used for monitoring the physiology parameters, such as the heart rate, the respiratory frequency and the weight of human body, and is capable of carrying out non-intrusive real-time monitoring on the health condition of the human body and automatically deciding whether to send out the health early warning signal according to the monitored data.

The invention provides a method, a system and a device for making and implementing a personalized deep-breathing exercise prescription. The method comprises the following steps: defining the personalized deep-breathing exercise prescription; guiding a testee to be subjected to a cardiopulmonary harmony test: guiding the testee to respectively carry out free breathing and breathing guiding when thetestee is in a resting state, and calculating cardiopulmonary harmony series indexes according to synchronously measured electrocardiosignals and breathing signals; making a personalized deep-breathing exercise prescription according to the cardiopulmonary harmony test result of the testee: selecting the optimal guide breath frequency of the cardiopulmonary harmony series index of the testee as abreath frequency parameter of breath exercise, and taking values corresponding to other parameters in the personalized deep-breathing exercise prescription as default values; and guiding the testee to perform breathing exercise according to the personalized deep breathing exercise prescription. The cardiopulmonary harmony state of a testee is evaluated by taking cardiopulmonary harmony series indexes as key indexes, and a personalized deep-breathing exercise prescription is formulated according to the cardiopulmonary harmony state.

The invention discloses a wearable respiratory monitoring system, comprising a wearable device for acquiring human body characterization information and ambient information; the wearable device is in signal connection with a data analysis system; an alarm is in signal connection with the data analysis system and gives a warning when the human body characterization information is abnormal or the wearable device and the data analysis system are disconnected; a cloud platform is in signal connection with the data analysis system and used to store various data information of the data analysis system; at least one client is in signal connection with the cloud platform and used to acquire various data information on the cloud platform. The invention also discloses a monitoring method of the wearable respiratory monitoring system. The wearable respiratory monitoring system is suitable for old people and children to wear, the monitoring method of this system can monitor real-time status of a wearer precisely through human body respiratory frequency, enables real-time understanding of information of a patient, such as disease condition and is safe and reliable, high in practicality, simple to use and easy to wear.

The invention discloses a respirator simulation lung device for emergency nursing. The respirator simulation lung device is composed of a body, an upper substrate, a bottom substrate, a simulation lung cavity, a scavenging port, a flow sensor, a humidity sensor, a throttle control valve, an atomizing spray head, a DC servo motor, a cam, a belt, a connecting rod, a controller and a capacitive liquid crystal control screen, wherein the capacitive liquid crystal control screen is used for setting respiratory physiological parameters such as inspiratory / expiratory ratio, respiratory frequency, tidal volume and vital capacity by use of inputting of a doctor; the flow sensor is used for detecting the air flow passing through the scavenging port of the simulation lung cavity; the humidity sensor is used for detecting the humidity inside the simulation lung cavity; the controller is triggered to control the throttle control valve, the atomizing spray head and the DC servo motor to move according to the set respiration parameters, the detected flow signal and the humidity signal, thereby the air flow and the humidity. The respirator simulation lung device for emergency nursing well conforms to the human pulmonary respiration physiology, is simple in structure and high in practicability, and has an extremely high application value in occasions such as scientific experimental research, respiration physiology teaching and respiration related product inspection.