CN107348945B - Non-recording dream snoring monitoring system and method - Google Patents
Non-recording dream snoring monitoring system and method Download PDFInfo
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- CN107348945B CN107348945B CN201710695112.7A CN201710695112A CN107348945B CN 107348945 B CN107348945 B CN 107348945B CN 201710695112 A CN201710695112 A CN 201710695112A CN 107348945 B CN107348945 B CN 107348945B
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- 206010041235 Snoring Diseases 0.000 title claims abstract description 118
- 238000012544 monitoring process Methods 0.000 title claims abstract description 50
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- 238000012545 processing Methods 0.000 claims description 38
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- 230000035565 breathing frequency Effects 0.000 claims description 2
- 230000033764 rhythmic process Effects 0.000 description 15
- 230000036387 respiratory rate Effects 0.000 description 8
- 206010062519 Poor quality sleep Diseases 0.000 description 5
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- 208000000884 Airway Obstruction Diseases 0.000 description 2
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Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4809—Sleep detection, i.e. determining whether a subject is asleep or not
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
Abstract
The invention discloses a non-recording talking and dreaming snoring monitoring system which comprises a physiological information pickup transmitter, a mobile terminal, a cloud terminal and a PC terminal, wherein the mobile terminal is connected with the mobile terminal; the method comprises the steps of collecting electrocardiosignals, respiration waveform signals and body position activity signals of a user through a physiological information pickup transmitter; analyzing and comparing an electrocardiosignal, a respiration waveform signal and a posture activity signal of a user at a mobile or PC terminal, judging whether the user is in a sleep state or not according to the electrocardiosignal, the respiration signal and the posture activity signal, and judging whether the user is in a speaking or snoring state or not according to the change characteristics of the respiration waveform; the invention obtains that the user is in a sleep state through the electrocardiosignal, the breathing signal and the posture activity signal, and simultaneously can discriminate the dream breathing wave and the snoring breathing wave through the change characteristics of the breathing waveform signal, namely directly obtains that the user is in a speaking dream state or a snoring state. The invention also discloses a non-recording method for monitoring the dream snoring.
Description
Technical Field
The invention belongs to the technical field of monitoring systems, and particularly relates to a non-recording system and a non-recording method for monitoring dream snoring.
Background
Snoring is caused by vibration of soft tissues around the airway when air flows through a narrow part of the upper airway during breathing, and has airway obstruction type and central obstruction type. The snoring situation can occur to many people, the snoring is considered to be a normal situation by many people, the damage to the body health caused by the snoring is not considered, the snoring is actually a healthy big enemy, serious hypoxia of the brain and blood can be brought when the snoring occurs, normal metabolism is hindered, partial cell accelerated death is caused, internal organs of the body can be damaged due to accumulation in daily life, more than one hundred diseases are caused, even severe sleep apnea syndrome is caused, and the choking death is caused when the person sleeps. Of course, the dream is not only an unhealthy manifestation, but also a nuisance to the health.
At present, there are many methods for monitoring snoring, such as a chinese patent document with application date of 2013, 4, 25, application number of 201310148053.3 and name of "snoring monitoring method and monitoring and controlling system based on smart phone platform", and the chinese patent document relates to a snoring monitoring and controlling method and system based on smart phone platform, including a snoring signal analysis module, an instant intervention module and an information feedback module. The monitoring and controlling method comprises the following steps:
1) Establishing a heavy snore signal library and a light snore signal library, respectively preprocessing the snore signals to extract feature vectors, and training heavy and light GMM templates;
2) Recording the snore signals of the user in real time at the mobile phone client for processing, and extracting the processed snore signals in real time in four-dimensional feature vector sequences in a specific time window;
3) Matching the real-time four-dimensional feature vector sequence with the light snore GMM template and the heavy snore GMM template respectively, wherein the class with the highest likelihood is used as a recognition result;
4) If the snoring degree is judged to be serious, calculating the maximum snore interval time in the current time window;
5) If the maximum snore interval exceeds 10s, external stimulus is adopted to stop the snoring of the user. The Chinese patent document can immediately perform external intervention, and effectively prevent snoring of users. Although the Chinese patent document can monitor snoring, the whole monitoring process is based on sound recording, ethical risks exist, and whether a user has a dream or not cannot be judged.
Disclosure of Invention
The invention aims to provide a non-recording system and a non-recording method for monitoring snoring through a dream, which at least solve the technical problems that the monitoring system in the prior art has ethical risks during snoring monitoring, the monitoring process is complicated, and the monitoring system in the prior art cannot monitor the dream.
In order to solve the problems, the invention provides a non-recording system and a non-recording method for monitoring dream snoring, which have the following technical scheme:
a non-recording talking and snoring monitoring system comprises a physiological information pickup transmitter which is attached to a user and is used for collecting and transmitting electrocardiosignals, respiration waveform signals and posture activity signals of the user; the mobile terminal is internally provided with a receiving module, a data processing module and an uploading cloud module; the receiving module is connected with the physiological information pickup transmitter and is used for receiving electrocardiosignals, respiration waveform signals and body position activity signals of a user, which are sent by the physiological information pickup transmitter; the data processing module is connected with the receiving module and has the function of modeling and identifying characteristic values of electrocardiosignals, respiratory waveform signals and body position activity signals; the characteristic value modeling function is to build a wake characteristic value model by building characteristic values of electrocardiosignals, respiratory waveform signals and body position activity signals under the wake state of a user and a signal model for normally speaking and imitating snoring. The recognition is that the arousal characteristic value model is matched with characteristic values of an electrocardiosignal, a respiration waveform signal and a body position activity signal in a sleep state, and the characteristic values of speaking dream or snoring are screened from the electrocardiosignal, the respiration waveform signal and the body position activity signal of a user in the sleep state; the method comprises the steps of obtaining a state that a user is in speaking a dream or snoring, a distribution condition of the speaking the dream or snoring in the whole sleeping process, and an abnormal condition of electrocardiosignals and breathing waveform signals in the speaking the dream or snoring; the uploading cloud module is connected with the data processing module and is used for uploading information of a snoring state or a dreaming state of a user to the cloud; the PC terminal is in wireless connection with the cloud end and is used for obtaining information of a snoring state or a dreaming state of a user of the cloud end so as to monitor the information of the dreaming state or the snoring state of the user.
The non-recorded talking dream snoring monitoring system is further preferably: the physiological information pickup transmitter is attached to the chest shank position in the vertical direction of the central axis of the human body.
The non-recorded talking dream snoring monitoring system is further preferably: the physiological information pickup transmitter includes a housing for providing an installation space; the body position acquisition module is fixedly arranged in the shell and is used for acquiring body position activity signals of a user; the electrocardio-respiration acquisition module is fixedly arranged in the shell and is used for acquiring electrocardio signals and respiration waveform signals of a user; the Bluetooth communication module is fixedly arranged in the shell and is used for realizing data transmission and communication between the physiological information pickup transmitter and the mobile terminal; the central processing unit is fixedly arranged in the shell, and is respectively connected with the body position acquisition module, the electrocardio respiration acquisition module and the Bluetooth communication module and used for receiving and processing electrocardiosignals, respiration waveform signals and body position activity signals of a user and controlling wireless communication with the mobile terminal.
The non-recorded talking dream snoring monitoring system is further preferably: the body position acquisition module is a four-axis gyroscope sensor or a six-axis gyroscope sensor.
The non-recorded talking dream snoring monitoring system is further preferably: the electrocardio respiration acquisition module comprises a chip and is used for collecting signals; the first electrode buckle is connected with the chip through an internal cable and is used for collecting electrocardiosignals and respiratory signals of a user; the second electrode buckle is connected with the chip through an internal cable and is used for collecting electrocardiosignals and respiratory signals of a user; the chip collects electrocardiosignals and respiration waveform signals of the first electrode buckle and the second electrode buckle and transmits the electrocardiosignals and the respiration waveform signals to the central processing unit.
The non-recorded talking dream snoring monitoring system is further preferably: the physiological information pickup transmitter further includes: the 5pin contact interface is arranged on the bottom surface of the physiological information pickup emitter and used for starting and stopping the physiological information pickup emitter and transmitting various data stored by the physiological information pickup emitter.
The non-recorded talking dream snoring monitoring system is further preferably: the mobile terminal is also provided with a waveform display module which is connected with the data processing module and is used for displaying the real-time electrocardio waveform and the real-time breathing waveform of the user.
The non-recorded talking dream snoring monitoring system is further preferably: and the mobile terminal is also provided with a body position display module which is connected with the data processing module and used for displaying body position activity signals of a user.
The non-recorded talking dream snoring monitoring system is further preferably: the mobile terminal is also provided with a numerical display module which is connected with the data processing module and is used for displaying the instantaneous heartbeat value and the instantaneous breathing frequency value of the user.
A method of monitoring a non-recorded talking snore monitoring system as described above, comprising the steps of:
step one, using the physiological information pickup transmitter to collect electrocardiosignals, respiration waveform signals and body position activity signals of a user and sending the electrocardiosignals, the respiration waveform signals and the body position activity signals to a receiving module of the mobile terminal;
step two, after the mobile terminal receives electrocardiosignals, respiration waveform signals and body position activity signals of the user, uploading the information of the user to a cloud or PC terminal;
thirdly, modeling the wake characteristic values of the electrocardiosignals, the respiratory waveform signals and the body position activity signals in the wake state of the user by the mobile terminal or the PC terminal, and judging whether the user is in a sleep state or not, modeling the respiratory waveform of speaking and simulating snoring in the wake state, and comparing the electrocardiosignals, the respiratory waveform signals and the body position activity signals in the sleep state of the user to judge the situations of speaking and snoring of the user; when the collected electrocardiosignals and the body position activity signals are signal values when the user is in sleep, and the exhalation phase of the collected respiration waveform signals of the user is obviously larger than the inhalation phase, the respiration waveform and a snoring characteristic value model are converged, and the user is in a snoring state; when the collected electrocardiosignal and the body position activity signal are signal values when the user is in sleep, and the waveform and the frequency of the collected respiration waveform signal of the user are converged with the characteristic value model of speaking, the user is in a speaking dream state;
step four, the mobile terminal or the PC terminal uploads the information that the user is in a speaking state or a snoring state to the cloud;
and fifthly, collecting, arranging and profiling information of the cloud user in a dream state or a snoring state and information of the cloud user in a non-dream state and a snoring state through the PC terminal, generating a report, and providing a good basis for subsequent intervention of the user.
Compared with the prior art, the invention has the advantages that:
the non-recording dream snoring monitoring system provided by the invention takes a physiological information pickup transmitter as an acquisition source, acquires an electrocardiosignal, a respiration waveform signal and a body position activity signal of a user, transmits the electrocardiosignal, the respiration waveform signal and the body position activity signal of the user to a mobile terminal in a Bluetooth mode, models an electrocardiosignal, a respiration waveform signal and a body position activity signal in a user awakening state in a data processing module of the mobile terminal, and is used for discriminating whether the user is in a sleep state or not and comparing the electrocardiosignal, the respiration waveform signal and the body position signal in the user sleep state in a model to discriminate the dream and snoring conditions of the user; uploading information of the snoring or dreaming state of the user to a PC terminal or a cloud through an uploading cloud module of the mobile terminal, collecting and arranging the snoring or dreaming state of the user stored in the cloud through the PC terminal, and carrying out filing and generating an analysis report so as to prepare for intervention of the snoring and the dreaming of the user; meanwhile, the invention does not carry out information acquisition modes of speaking and snoring in a recording mode so as to avoid the defect of ethical risks. Meanwhile, the physiological information pickup transmitter is used as a collection source, so that the synchronous electrocardio abnormality can be found while monitoring the dream and snoring. The respiratory signal obtained by the body impedance method has the accuracy far higher than that of the recording method, is not influenced by environmental sound, not only is the apnea process more accurate judged, but also the invention has the characteristic of abnormal electrocardiographic activity during the apnea detection by being matched with synchronous electrocardiographic monitoring.
Drawings
FIG. 1 is a logical block diagram of a non-recorded talking snore monitoring system in accordance with a preferred embodiment of the present invention;
FIG. 2 is a schematic view showing a structure of a physiological information pickup transmitter according to a preferred embodiment of the present invention;
FIG. 3 is a schematic illustration of the breathing rhythm of a user during normal sleep;
FIG. 4 is a schematic illustration of the breathing rhythm of a user when snoring;
fig. 5 is a schematic diagram of the breathing rhythm of the user when speaking a dream.
In the figure: 1-a physiological information pickup transmitter; 11-a housing; 12-a charging module; 13-a body position acquisition module; 14-an electrocardiographic respiration acquisition module; 141-chip; 142-a first electrode button; 143-a second electrode button; 15-a power module; 16-a central processing unit; 17-Bluetooth communication module; an 18-5pin contact interface; 19-a charging storage box; 2-a mobile terminal; a 21-receiving module; 22-a data processing module; a 23-storage module; 24-uploading a cloud module; 25-a waveform display module; 26-a body position display module; a 27-numerical display module; 3-cloud; 4-PC terminal.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1 and 2, the non-recording dream snoring monitoring system of the preferred embodiment of the invention mainly comprises a physiological information pickup transmitter 1 which is attached to a user and is used for collecting electrocardiosignals, respiration waveform signals and posture activity signals of the user; the mobile terminal 2 is internally provided with a receiving module 21, a data processing module 22 and an uploading cloud module 24; the receiving module 21 is connected with the physiological information pickup emitter 1 and is used for receiving electrocardiosignals, respiration waveform signals and body position activity signals of a user of the physiological information pickup emitter 1; the data processing module 22 is connected with the receiving module 21, the data processing module 22 judges that when the user is in a sleep state, the exhalation phase of the respiration signal is obviously larger than the inhalation phase through the electrocardio signal, the respiration signal and the body position activity signal of the user, the respiration waveform is converged with a snoring characteristic value model, the user is in a snoring state, the waveform and the frequency of the respiration signal are converged with the dreaming characteristic value model, and the user is in a dreaming state; the uploading cloud module 24 is connected with the data processing module 22, and is used for uploading the information of the snoring state or the dreaming state of the user to the cloud 3; and the PC terminal 4 is in wireless connection with the cloud 3, and is used for obtaining the information of the snoring state or the dreaming state of the user of the cloud 3 so as to monitor the information of the dreaming state or the snoring state of the user.
In summary, the non-recording dream snoring monitoring system provided by the invention takes the physiological information pickup transmitter 1 as a collection source to collect the electrocardiosignal, the respiration waveform signal and the body position activity signal of the user, and sends the electrocardiosignal, the respiration waveform signal and the body position activity signal of the user to the mobile terminal 2, and in the data processing module 22 of the mobile terminal 2, the collected electrocardiosignal, respiration waveform signal and body position activity signal of the user are compared with the electrocardiosignal, respiration waveform signal and body position activity signal of the user during sleeping, and when the collected electrocardiosignal, respiration waveform signal and body position activity signal are all signal values of the user during sleeping, the state that the user does not have snoring or dream is obtained; when the collected electrocardiosignal and the body position activity signal are signal values of a user during sleep and the collected respiratory rhythm is abnormal, obtaining that the user has snoring or dreaming; the information of the snoring or dreaming state of the user is uploaded to the cloud 3 through the uploading cloud module 24 of the mobile terminal 2, the snoring or dreaming state of the user stored in the cloud 3 is collected and tidied through the PC terminal 4, and profiling and analysis report generation can be carried out so as to prepare for treating the snoring or dreaming of the user; meanwhile, the invention does not collect by means of recording and the like, and can prevent the defects of more noise and poor pertinence caused by means of recording and the like.
In order to facilitate the acquisition of physiological information of a user, as shown in fig. 2, the physiological information pickup transmitter 1 of the present invention is attached to a chest shank position in a direction perpendicular to a central axis of a human body. The physiological information pickup transmitter 1 of the present invention mainly includes a housing 11 for providing an installation space; the body position acquisition module 13 is fixedly arranged in the shell 11 and is used for acquiring body position activity signals of a user; an electrocardiograph respiration acquisition module 14 fixedly arranged in the shell 11 and used for acquiring electrocardiograph signals and respiration waveform signals of a user; the central processing unit 16, the central processing unit 16 is fixedly installed in the shell 11, and the central processing unit 16 is respectively connected with the body position acquisition module 13 and the electrocardio-respiration acquisition module 14 and is used for receiving and processing electrocardio signals, respiration waveform signals and body position activity signals of a user and controlling wireless communication with the mobile terminal.
In order to accurately monitor the body position signal of the user and accurately monitor the specific parameters of the body position activity of the user, as shown in fig. 2, the body position acquisition module 13 of the invention is a four-axis gyroscope sensor or a six-axis gyroscope sensor; in general, a sonar or a vibration monitoring device is arranged on a bed, so that simple physical activity information of a user can be judged, but the accuracy is poor, the four-axis gyroscope sensor and the six-axis gyroscope sensor are commonly used in aviation, navigation, aerospace and national defense industries for monitoring the national defense industry, and the four-axis gyroscope sensor and the six-axis gyroscope sensor are not used for monitoring body position signals of people.
In order to be able to measure the electrocardiographic signals and respiration waveform signals of the user accurately, as shown in fig. 2, the electrocardiographic respiration acquisition module 14 of the present invention includes a chip 141 for collecting electrocardiographic and respiration signals; the first electrode buckle 142, the first electrode buckle 142 is connected with the chip 141 through an internal cable, and is used for collecting electrocardiosignals of a user; the second electrode buckle 143 is connected with the chip 141 through an internal cable and is used for collecting electrocardiosignals of a user and collecting respiration waveform signals of the user through the actions of the first electrode buckle 142 and the second electrode buckle 143; the chip 141 collects the electrocardiographic signals of the first electrode button 142 and the electrocardiographic signals of the second electrode button 143 and the respiration waveform signals of the user, and transmits the electrocardiographic signals and the respiration waveform signals of the user to the central processor 16. In order to prevent the first electrode buckle 142 and the second electrode buckle 143 from causing unstable interference to use, as shown in fig. 2, the casing 11 of the present invention is coated on the outside of the first electrode buckle 142, for preventing the first electrode buckle 142 from causing instability in use and for protecting the first electrode buckle 142; the casing 11 of the present invention is coated on the outside of the second electrode holder 143, for preventing the second electrode holder 143 from causing unstable interference to use and for protecting the second electrode holder 143. Preferably, the casing 11 encloses the first electrode buckle 142 and the second electrode buckle 143 in a circular structure, and an arc transition section is arranged on the circular structure; since the first electrode buckle 142 and the second electrode buckle 143 are connected to the chip 141 through the internal cables, respectively, in order to protect the cables and prevent hard connection between the first electrode buckle 142, the second electrode buckle 143 and the internal cables, the internal cables are involved when the first electrode buckle 142 and the second electrode buckle 143 are buckled, and as shown in fig. 2, the case 11 of the present invention realizes soft connection between the first electrode buckle 142, the second electrode buckle 143 and the internal cables. In the invention, the electrocardio-respiratory acquisition module 14 is an acquisition module of the model ADAS1000-4 LFCP.
The shell 11 of the physiological information pickup transmitter 1 is of a streamline fusiform structure, and two ends of the streamline fusiform structure in the length direction are provided with radian stages extending outwards. Preferably, the length of the shell 11 is 80-110 mm, the width of the shell 11 is 30-55 mm, and the thickness of the shell 11 is 10-15 mm; the diameter of the circular structure of the first electrode buckle 142 and the second electrode buckle 143 is 15mm, and the length of the arc-shaped transition section arranged on the circular structure is 30mm. The invention limits the size structure of the physiological information pickup emitter 1, and aims to facilitate the wearing of a user, and the physiological information pickup emitter 1 is attached to the chest shank position in the vertical direction of the central axis of the human body through the size limitation; therefore, even if a user turns over or moves, the normal use of the physiological information pickup emitter 1 is not affected, especially when the user turns over in sleep, the depth of the chest is larger than the thickness of the physiological information pickup emitter 1, so that the physiological information pickup emitter 1 can not press and force the chest of the user even after the user turns over, and the user can sleep normally.
Under normal conditions, only a user wears the physiological information pickup transmitter 1 at night to monitor an electrocardio signal, a respiration waveform signal and a body position signal, and in order to prevent the physiological information pickup transmitter 1 from generating low electric quantity or no electricity, as shown in fig. 2, the physiological information pickup transmitter 1 of the present invention further comprises a power module 15, and the power module 15 is fixedly installed in the housing 11 and is used for providing power for the physiological information pickup transmitter 1. In the present invention, the power supply time of the power supply module 15 is more than 8 hours, so that the power requirement of the user throughout the night can be satisfied. The invention also includes a charging module 12 fixedly mounted in the housing 11 for charging the power module 15
The physiological information pickup transmitter 1 of the present invention further includes a charging storage box 19, where the charging storage box 19 is used to store the physiological information pickup transmitter 1, control the on and off of the physiological information pickup transmitter 1, charge the power module 15 of the physiological information pickup transmitter 1, transmit data stored by the physiological information pickup transmitter 1, and display that the physiological information pickup transmitter 1 is in a charging state or a working state. In order to prevent the disassembly of the power module 15 from adversely affecting the physiological information pickup transmitter 1, as shown in fig. 2, the physiological information pickup transmitter 1 of the present invention further includes a 5pin contact interface 18, and one end of the 5pin contact interface 18 is connected to a contact pin of the charging storage box 19. The contact pin of the charging storage box 19 is arranged on the top surface of the charging storage box, and the 5pin contact interface 18 is arranged on the bottom surface of the physiological information pickup transmitter 1, and is connected with the power module 15 for charging the power module 15.
As shown in fig. 2, the physiological information pickup transmitter 1 of the present invention further includes a bluetooth communication module 17, where the bluetooth communication module 17 is connected to the central processor 16 and to the bluetooth device of the mobile terminal 2, and is configured to transmit an electrocardiograph signal, a respiration waveform signal, and a body position signal of a user to the bluetooth device of the mobile terminal 2. The invention fully utilizes the Bluetooth equipment of the mobile terminal 2, and enhances the signal transmission between the physiological information pickup transmitter 1 and the mobile terminal 2.
In order to accurately monitor and conveniently observe the electrocardiosignal, respiratory waveform signal and body position signal of a user, as shown in fig. 1, the invention is further provided with a waveform display module 25 on the mobile terminal 2, wherein the waveform display module 25 is connected with the data processing module 22 and is used for displaying the real-time electrocardio waveform and the real-time respiratory waveform of the user. In order to facilitate distinguishing between the electrocardiographic waveform and the respiratory waveform of the user, the waveform display module 25 of the present invention is divided into an upper display portion and a lower display portion for separately displaying the electrocardiographic waveform or the respiratory waveform of the user, respectively. In order to be able to view the body position activity of the user in time, as shown in fig. 1, the mobile terminal 2 is further provided with a body position display module 26, and the body position display module 26 is connected with the data processing module 22 and is used for displaying the body position activity signal of the user. In order to be convenient for monitoring the heart beat value and the respiration value of the user, as shown in fig. 1, the mobile terminal 2 is further provided with a value display module 27, and the value display module 27 is connected with the data processing module 22 and is used for displaying the instantaneous heart beat value and the instantaneous respiration frequency value of the user. In order to store the information such as the electrocardiosignal, the respiration waveform signal, the body position signal and the like of the user conveniently, as shown in fig. 1, the mobile terminal 2 is further provided with a storage module 23, and the storage module 23 is connected with the data processing module 22 and is used for storing the information in the data processing module 22.
In the present invention, the data processing module 22 of the mobile terminal 2 processes information of the electrocardiographic signal, the respiration waveform signal and the posture signal of the user, including information of variation of heart rate and heart rhythm of the user, information of variation of respiration rate of the user, information of difference between inhalation phase and exhalation phase of the user, information of respiration balance of the user and information of posture variation.
The invention also provides a non-recording method for monitoring the snoring of the dream, which comprises the following steps:
step one, a physiological information pickup transmitter 1 is used for collecting electrocardiosignals, respiration waveform signals and body position activity signals of a user and sending the electrocardiosignals, the respiration waveform signals and the body position activity signals to a receiving module of a mobile terminal 2;
step two, after receiving the electrocardiosignal, the respiration waveform signal and the body position activity signal of the user, the mobile terminal 2 uploads the electrocardiosignal, the respiration waveform signal and the body position activity signal of the user to a cloud or PC terminal;
and thirdly, modeling the wake characteristic values of the electrocardiosignals, the respiration waveform signals and the body position activity signals in the wake state of the user by the mobile terminal 2 or the PC terminal 4, and judging whether the user is in a sleep state or not, and comparing the electrocardiosignals, the respiration waveform signals and the body position activity signals in the sleep state of the user to judge the dream and snoring conditions of the user. Such screening includes, but is not limited to: when the collected electrocardiosignals and the body position activity signals are signal values when the user is in sleep, and the exhalation phase of the collected respiration signals of the user is obviously larger than the inhalation phase, the respiration waveform and the characteristic value model are converged, and the user is in a snoring state; when the collected electrocardiosignal and the body position activity signal are signal values when the user is in sleep, and the waveform and the frequency of the collected respiration signal of the user are converged with the characteristic value model, the user is in a speaking and speaking state;
step four, the mobile terminal 2 or the PC terminal 4 uploads the information that the user is in a dreaming state or a snoring state to the cloud;
step five, collecting, arranging and profiling information of the user in the cloud 3 in a dream state or a snoring state and information of the user not in the dream state or the snoring state through the PC terminal 4, generating a report, and providing a good basis for subsequent intervention of the user.
As shown in fig. 3, the breathing rhythm during normal sleep is uniform and gentle; as shown in fig. 4, when the user is in a snoring state, the situation that the exhalation phase is larger than the inhalation phase occurs, and the exhalation phase is 1 to 6 times larger than the inhalation phase; as shown in fig. 5, when the user is in a sleep state, a state of uneven breathing waveform occurs, the waveform is disordered, and the breathing waveform is close to the characteristic value of the breathing waveform when the user normally speaks (because the characteristic value of the breathing waveform changes when the user normally speaks, even if the user is in a sleep state as a whole, the characteristic value of the breathing waveform changes when the user speaks, and the characteristic value of the breathing waveform can be identified by applying the model of the wake characteristic value).
In medical institutions such as hospitals, the basis for judging whether a person is in a sleep state is often that a conventional numerical value of brain electricity is taken as a threshold value, and the person is in the sleep state within the threshold value range; if the threshold value is not within the range, the state is wakefulness; however, the monitoring is inaccurate, even if an error occurs, the use process is very inconvenient, and the sleeping of a user is seriously disturbed; in order to solve the problem, the invention integrates high-precision electrocardiograph, respiration and posture information to form a brand-new judgment system, and the principle is as follows:
heart rate information, the average heart rate of the user obtained when the starting end collects is a wakefulness heart rate value. When the heart rate value of the user is equal to or smaller than 80% of the wakefulness heart rate value of the user, the heart rate value is the sleep heart rate value of the user after sleeping;
the heart rhythm information, the average heart rhythm of the user obtained when the starting end collects, is the awakening heart rhythm value. When the heart rhythm value of the user is equal to or less than 80% of the wake rhythm value of the user, the heart rhythm value is the sleep rhythm value of the user after sleeping;
the respiratory rate information is obtained when the starting end collects the average respiratory rate of the user, wherein the average respiratory rate is a wake respiratory rate value, and when the respiratory rate value of the user is equal to or less than 80% of the wake respiratory rate information value of the user, the average respiratory rate is a sleep respiratory rate information value after the user sleeps;
the respiratory phase difference information is the average difference value between the inhalation phase and the exhalation phase of the user, which is obtained when the user starts to collect, and is the awake respiratory phase difference value. When the difference value of the breathing phases of the user is equal to or less than 80% of the difference value of the awakening breathing phases of the user, the difference value is the sleep difference value of the user after sleeping;
the average respiratory rhythm of the user obtained when the starting end collects the respiratory balance degree information is an arousal respiratory balance degree value. When the breathing rate of the user is equal to or less than 80% of the awake breathing balance value of the user, the breathing balance value is the breathing balance value when the user is asleep.
Judgment of wakefulness and sleep state: the judgment of the wakefulness state and the sleep state is realized by applying the heart rate information, the respiration phase difference information, the respiration balance information and the titled information.
Model of arousal eigenvalues: while the user is in the awake state, an awake speaking characteristic value model and a snoring characteristic value model are constructed from the electrocardiographic, respiratory and posture signals.
The "starting end" means a period of wake-up time before the user lies down to sleep after wearing the physiological information pickup transmitter 1.
Analysis shows that compared with the prior art, the invention has the following advantages:
the non-recording dream snoring monitoring system provided by the invention takes a physiological information pickup transmitter 1 as an acquisition source to acquire an electrocardiosignal, a respiration waveform signal and a body position signal of a user, and transmits the electrocardiosignal, the respiration waveform signal and the body position signal of the user to a mobile terminal 2, and in a data processing module 22 of the mobile terminal 2, the acquired electrocardiosignal, respiration waveform signal and body position signal of the user are compared with the electrocardiosignal, respiration waveform signal and body position signal of the user during sleeping by applying the algorithm, and when the acquired electrocardiosignal, respiration waveform signal and body position signal are all signal values of the user during sleeping, the state that the user does not have snoring and dream is obtained; when the collected electrocardiosignals and the posture signals are signal values of the user during sleep and the collected respiratory rhythm is abnormal, the snoring and dreaming states of the user are obtained; the information of the snoring and dreaming states of the user is uploaded to the cloud 3 through the uploading cloud module 24 of the mobile terminal 2, the snoring and dreaming states of the user stored in the cloud 3 are collected and tidied through the PC terminal 4, and profiling and analysis report generation can be carried out to prepare for treatment of the snoring and dreaming of the user; meanwhile, the invention does not collect by means of recording and the like, and can prevent the defects of more noise and poor pertinence caused by means of recording and the like.
The invention can know whether the user is in a dream state or a snoring state through the electrocardio and respiratory signals, and compared with the conventional recording mode, the invention not only can meet the ethical requirements, but also has the advantages of high integration level, strong anti-interference capability, small volume, convenient use and synchronous monitoring of more contents of electrocardio and respiratory while detecting the dream snoring.
It will be appreciated by those skilled in the art that the present invention can be carried out in other embodiments without departing from the spirit or essential characteristics thereof. Accordingly, the above disclosed embodiments are illustrative in all respects, and not exclusive. All changes that come within the scope of the invention or equivalents thereto are intended to be embraced therein.
Claims (7)
1. A non-recorded talking snoring monitoring system, comprising:
the physiological information pickup transmitter is attached to the body of the user and used for collecting and transmitting electrocardiosignals, respiration waveform signals and body position activity signals of the user;
the mobile terminal is internally provided with a receiving module, a data processing module and an uploading cloud module; the receiving module is connected with the physiological information pickup transmitter and is used for receiving electrocardiosignals, respiration waveform signals and body position activity signals of a user, which are sent by the physiological information pickup transmitter; the data processing module is connected with the receiving module and has the function of modeling and identifying characteristic values of electrocardiosignals, respiratory waveform signals and body position activity signals; the characteristic value modeling function is to build a wake characteristic value model by building characteristic values of electrocardiosignals, respiratory waveform signals and body position activity signals under the wake state of a user and a signal model for normally speaking and imitating snoring; the recognition is that the arousal characteristic value model is matched with characteristic values of an electrocardiosignal, a respiration waveform signal and a body position activity signal in a sleep state, and the characteristic values of speaking dream or snoring are screened from the electrocardiosignal, the respiration waveform signal and the body position activity signal of a user in the sleep state; the method comprises the steps of obtaining a state that a user is in speaking a dream or snoring, a distribution condition of the speaking the dream or snoring in the whole sleeping process, and an abnormal condition of electrocardiosignals and breathing waveform signals in the speaking the dream or snoring; the uploading cloud module is connected with the data processing module and is used for uploading information of a snoring state or a dreaming state of a user to the cloud;
the PC terminal is in wireless connection with the cloud end and is used for obtaining information of a snoring state or a dreaming state of a user of the cloud end so as to monitor the information of the dreaming state or the snoring state of the user;
the physiological information pickup transmitter includes: a housing for providing an installation space;
the body position acquisition module is fixedly arranged in the shell and is used for acquiring body position activity signals of a user;
the electrocardio-respiration acquisition module is fixedly arranged in the shell and is used for acquiring electrocardio signals and respiration waveform signals of a user;
the Bluetooth communication module is fixedly arranged in the shell and is used for realizing data transmission and communication between the physiological information pickup transmitter and the mobile terminal;
the central processing unit is fixedly arranged in the shell, and is respectively connected with the body position acquisition module, the electrocardio respiration acquisition module and the Bluetooth communication module and used for receiving and processing electrocardiosignals, respiration waveform signals and body position activity signals of a user and controlling wireless communication with the mobile terminal;
the electrocardio respiration acquisition module comprises: a chip for collecting signals;
the first electrode buckle is connected with the chip through an internal cable and is used for collecting electrocardiosignals and respiratory signals of a user;
the second electrode buckle is connected with the chip through an internal cable and is used for collecting electrocardiosignals and respiratory signals of a user; the chip collects electrocardiosignals and respiration waveform signals of the first electrode buckle and the second electrode buckle and transmits the electrocardiosignals and respiration waveform signals to the central processing unit;
the shell is of a streamline fusiform structure, two ends of the streamline fusiform structure in the length direction are provided with radian stages extending outwards, the length of the shell is 80-110 mm, the width of the shell is 30-55 mm, and the thickness of the shell is 10-15 mm; the diameters of the circular structures of the first electrode buckle and the second electrode buckle are 15mm, and the length of the arc-shaped transition section arranged on the circular structures is 30mm;
the body position acquisition module is a four-axis gyroscope sensor or a six-axis gyroscope sensor.
2. The non-recorded talking dream snoring monitoring system of claim 1, wherein:
the physiological information pickup transmitter is attached to the chest shank position in the vertical direction of the central axis of the human body.
3. The non-recorded talking snoring monitoring system of claim 2, wherein the physiological information pickup transmitter further comprises:
the 5pin contact interface is arranged on the bottom surface of the physiological information pickup emitter and used for starting and stopping the physiological information pickup emitter and transmitting various data stored by the physiological information pickup emitter.
4. The non-recorded talking snoring monitoring system of claim 3, wherein:
the mobile terminal is also provided with a waveform display module which is connected with the data processing module and is used for displaying the real-time electrocardio waveform and the real-time breathing waveform of the user.
5. The non-recorded talking snoring monitoring system of claim 4, wherein:
and the mobile terminal is also provided with a body position display module which is connected with the data processing module and used for displaying body position activity signals of a user.
6. The non-recorded talking snoring monitoring system of claim 5, wherein:
the mobile terminal is also provided with a numerical display module which is connected with the data processing module and is used for displaying the instantaneous heartbeat value and the instantaneous breathing frequency value of the user.
7. A method of monitoring a non-recorded talking snoring monitoring system according to any one of claims 1 to 6, comprising the steps of:
step one, using the physiological information pickup transmitter to collect electrocardiosignals, respiration waveform signals and body position activity signals of a user and sending the electrocardiosignals, the respiration waveform signals and the body position activity signals to a receiving module of the mobile terminal;
step two, after the mobile terminal receives electrocardiosignals, respiration waveform signals and body position activity signals of the user, uploading the information of the user to a cloud or PC terminal;
thirdly, modeling the awakening characteristic values of the electrocardiosignals, the respiration waveform signals and the body position activity signals in the awakening state of the user by the mobile terminal or the PC terminal, and judging whether the user is in a sleep state or not; modeling the speaking and simulated snoring respiratory waveform in the wake state, and comparing the electrocardiosignal, the respiratory waveform signal and the body position activity signal of the user in the sleep state to discriminate the situations of speaking and snoring of the user; when the collected electrocardiosignals and the body position activity signals are signal values when the user is in sleep, and the exhalation phase of the collected respiration waveform signals of the user is obviously larger than the inhalation phase, the respiration waveform and a snoring characteristic value model are converged, and the user is in a snoring state; when the collected electrocardiosignal and the body position activity signal are signal values when the user is in sleep, and the waveform and the frequency of the collected respiration waveform signal of the user are converged with a characteristic value model of speaking, the state that the user is in speaking is obtained;
step four, the mobile terminal or the PC terminal uploads the information that the user is in a speaking state or a snoring state to the cloud;
and fifthly, collecting, arranging and profiling information of the cloud user in a dream state or a snoring state and information of the cloud user in a non-dream state and a snoring state through the PC terminal, generating a report, and providing a good basis for subsequent intervention of the user.
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| CN109008955A (en) * | 2018-06-04 | 2018-12-18 | 海南和家健康科技有限公司 | A kind of portable physiological parameter monitor and its monitoring method |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104095620A (en) * | 2014-07-04 | 2014-10-15 | 上海理工大学 | Physical sign monitoring vibration device |
| CN203915193U (en) * | 2014-03-14 | 2014-11-05 | 北京航空航天大学 | A kind of snoring belt with respiration pickup |
| CN105615884A (en) * | 2016-03-17 | 2016-06-01 | 杨松 | Sleep apnea syndrome detecting method and device |
| CN106859598A (en) * | 2017-01-16 | 2017-06-20 | 清华大学 | A kind of multisensor cardiopulmonary couple sleep quality detecting system and its detection method |
| WO2017119638A1 (en) * | 2016-01-08 | 2017-07-13 | 전남대학교산학협력단 | Real-time sleep disorder monitoring apparatus |
| CN208822746U (en) * | 2017-08-15 | 2019-05-07 | 北京道贞健康科技发展有限责任公司 | A kind of monitoring system of snoring of talking in one's dream of non-recording |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160081631A1 (en) * | 2014-09-23 | 2016-03-24 | Apex Medical Corp. | Respiratory waveform recognition method and system |
-
2017
- 2017-08-15 CN CN201710695112.7A patent/CN107348945B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203915193U (en) * | 2014-03-14 | 2014-11-05 | 北京航空航天大学 | A kind of snoring belt with respiration pickup |
| CN104095620A (en) * | 2014-07-04 | 2014-10-15 | 上海理工大学 | Physical sign monitoring vibration device |
| WO2017119638A1 (en) * | 2016-01-08 | 2017-07-13 | 전남대학교산학협력단 | Real-time sleep disorder monitoring apparatus |
| CN105615884A (en) * | 2016-03-17 | 2016-06-01 | 杨松 | Sleep apnea syndrome detecting method and device |
| CN106859598A (en) * | 2017-01-16 | 2017-06-20 | 清华大学 | A kind of multisensor cardiopulmonary couple sleep quality detecting system and its detection method |
| CN208822746U (en) * | 2017-08-15 | 2019-05-07 | 北京道贞健康科技发展有限责任公司 | A kind of monitoring system of snoring of talking in one's dream of non-recording |
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