CN117958766B - Sleep gastrointestinal motility monitoring method, electronic equipment and storage medium - Google Patents
Sleep gastrointestinal motility monitoring method, electronic equipment and storage medium Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 71
- 230000005176 gastrointestinal motility Effects 0.000 title claims abstract description 47
- 238000000034 method Methods 0.000 title claims abstract description 42
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- 210000001815 ascending colon Anatomy 0.000 claims description 8
- 210000001731 descending colon Anatomy 0.000 claims description 8
- 210000000664 rectum Anatomy 0.000 claims description 8
- 210000001599 sigmoid colon Anatomy 0.000 claims description 8
- 210000003384 transverse colon Anatomy 0.000 claims description 8
- 210000002784 stomach Anatomy 0.000 claims description 7
- 210000001198 duodenum Anatomy 0.000 claims description 6
- 238000012806 monitoring device Methods 0.000 claims description 5
- 238000004590 computer program Methods 0.000 claims description 4
- 238000010586 diagram Methods 0.000 description 9
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- VYPSYNLAJGMNEJ-UHFFFAOYSA-N Silicium dioxide Chemical compound O=[Si]=O VYPSYNLAJGMNEJ-UHFFFAOYSA-N 0.000 description 3
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Abstract
The application provides a gastrointestinal motility monitoring method, a device, electronic equipment and a storage medium, and relates to the technical field of medical data processing; if the body to be detected is in a lying posture, determining the positioning time of the dynamic radio frequency identification tag passing through each static radio frequency identification tag according to the position relationship between the dynamic radio frequency identification tag and the static radio frequency identification tags acquired in the first preset time period of the auxiliary acquisition device aiming at each dynamic radio frequency identification tag in a plurality of dynamic radio frequency identification tags which are orally taken into the body in advance by the body to be detected; determining the movement speed of each dynamic radio frequency identification tag in different monitoring intervals according to each dynamic radio frequency identification tag; and determining the gastrointestinal motility monitoring result of the to-be-detected body based on all the movement speeds corresponding to the dynamic radio frequency identification tag.
Description
Technical Field
The application relates to the technical field of medical data processing, in particular to a sleep gastrointestinal motility monitoring method, electronic equipment and a storage medium.
Background
Traditional dynamic monitoring of gastrointestinal motility is that barium strips (24) are orally taken, the oral tag can be positioned at different positions at different moments through gastrointestinal peristalsis, X-ray films are taken after 3 days, and then the gastrointestinal motility condition of a user is estimated through specific distribution of the barium strips.
The conventional monitoring method has the following disadvantages:
(A) Gastrointestinal motility may change at any time, but X-ray films cannot track the shooting every day or hour, so the time of X-ray film shooting does not necessarily accurately reflect the condition of a patient, and the data has hysteresis.
(B) The X-ray film has high cost and is not suitable for monitoring gastrointestinal motility for a long time and in large quantity.
Disclosure of Invention
Therefore, the application aims to provide a sleep gastrointestinal motility monitoring method, electronic equipment and storage medium, which are used for monitoring gastrointestinal motility more conveniently and at lower cost, and the obtained monitoring result is more time-efficient, so that the gastrointestinal motility monitoring efficiency is improved.
In a first aspect, the application provides a method for monitoring gastrointestinal motility during sleep, the method comprising determining whether a sleeping body to be detected is in a lying posture according to a pressure value acquired by an auxiliary acquisition device, wherein the auxiliary acquisition device is positioned below a trunk of the sleeping body to be detected; if the body to be measured is in a lying posture, determining the positioning time of the dynamic radio frequency identification tag passing through each static radio frequency identification tag according to the position relationship between each dynamic radio frequency identification tag and each static radio frequency identification tag acquired in the first preset time period of the auxiliary acquisition device aiming at each dynamic radio frequency identification tag in a plurality of dynamic radio frequency identification tags which are orally taken into the body in advance by the body to be measured, wherein the static radio frequency identification tags are sequentially fixed at preset positions on the body surface of the body to be measured; determining the movement speed of each dynamic radio frequency identification tag in different monitoring intervals according to the positioning time corresponding to the dynamic radio frequency identification tag and the distance value between the static radio frequency identification tags; and determining the gastrointestinal motility monitoring result of the to-be-detected body based on all the movement speeds corresponding to the dynamic radio frequency identification tag.
Preferably, the auxiliary collector comprises a piezoelectric sensor for determining whether the body to be measured is in a lying position by: acquiring a sampling pressure amplitude value acquired by the piezoelectric sensor; comparing the magnitude of the sampling pressure amplitude with the magnitude of the preset pressure amplitude, and if the magnitude of the sampling pressure amplitude is larger than the magnitude of the preset pressure amplitude, determining that the body to be measured is in a lying posture.
Preferably, the preset pressure amplitude is determined by: when the body to be tested lies on the auxiliary collector, collecting a plurality of sampling voltage values in a second preset time period through the piezoelectric sensor, and calculating the average value of the sampling voltages; calculating a difference value between each sampling voltage value and the sampling voltage average value; and calculating the ratio between the sum of all the differences and the number value of the sampling voltage values, and taking the product between the ratio and a preset value as the preset pressure amplitude.
Preferably, by determining, for each dynamic rfid tag, the time for the dynamic rfid tag to locate past the target static rfid tag by: acquiring a plurality of first position coordinates of the dynamic radio frequency identification tag within a first preset time period; calculating a distance value between the dynamic radio frequency identification tag and the target static radio frequency identification tag based on the first position coordinates and the second position coordinates of the target static radio frequency identification tag for each first position coordinate of the dynamic radio frequency identification tag; if all the distance values are smaller than the preset distance value, determining that the dynamic radio frequency identification tag passes through the target static radio frequency identification tag, and determining that the initial time of the first preset duration is positioning time.
Preferably, for each dynamic radio frequency identification tag, further comprising: determining the discharge time of the dynamic radio frequency identification tag; and determining the movement duration of the dynamic radio frequency identification tag according to the first positioning time and the removal time of the dynamic radio frequency identification tag.
Preferably, the gastrointestinal motility monitoring result of the test body is determined by: determining a preset number of target dynamic radio frequency identification tags according to the movement duration of each dynamic radio frequency identification tag; and respectively determining the average movement duration, the maximum movement duration, the average movement speed and the maximum movement speed based on the movement duration corresponding to the target dynamic radio frequency identification tag and the movement speeds in different monitoring intervals to serve as a gastrointestinal power monitoring result.
Preferably, the method further comprises: determining whether the posture of the body to be detected changes or not according to the sampling pressure amplitude acquired by the piezoelectric sensor; if yes, updating the position coordinates of all the static radio frequency identification tags.
In a second aspect, the present application provides a sleep gastrointestinal motility monitoring device, the device comprising:
The acquisition module is used for determining whether the sleeping body to be detected is in a lying posture according to the pressure value acquired by the auxiliary acquisition device, and the auxiliary acquisition device is positioned below the trunk of the body to be detected;
The positioning module is used for determining the positioning time of the dynamic radio frequency identification tag passing through each static radio frequency identification tag according to the position relationship between the dynamic radio frequency identification tag and the static radio frequency identification tags acquired in the first preset time period of the auxiliary acquisition device aiming at each dynamic radio frequency identification tag in a plurality of dynamic radio frequency identification tags which are orally taken into the body in advance by the body to be detected if the body to be detected is in a lying posture, and the static radio frequency identification tags are sequentially fixed at preset positions on the body surface of the body to be detected;
The processing module is used for determining the movement speed of each dynamic radio frequency identification tag in different monitoring intervals according to the positioning time corresponding to the dynamic radio frequency identification tag and the distance value between the static radio frequency identification tags;
And the analysis module is used for determining the gastrointestinal motility monitoring result of the to-be-detected body based on all the movement speeds corresponding to the dynamic radio frequency identification tag.
In a third aspect, the present application also provides an electronic device, including: the system comprises a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor and the memory are communicated through the bus, and the machine-readable instructions are executed by the processor to perform the steps of the sleep gastrointestinal motility monitoring method.
In a fourth aspect, the present application also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of a method of monitoring gastrointestinal motility as described above.
The application provides a sleep gastrointestinal motility monitoring method, electronic equipment and a storage medium, wherein the method comprises the steps of determining whether a sleeping body to be detected is in a lying posture or not according to a pressure value acquired by an auxiliary acquisition device, wherein the auxiliary acquisition device is positioned below a trunk of the sleeping body to be detected; if the body to be measured is in a lying posture, determining the positioning time of the dynamic radio frequency identification tag passing through each static radio frequency identification tag according to the position relationship between each dynamic radio frequency identification tag and each static radio frequency identification tag acquired in the first preset time period of the auxiliary acquisition device aiming at each dynamic radio frequency identification tag in a plurality of dynamic radio frequency identification tags which are orally taken into the body in advance by the body to be measured, wherein the static radio frequency identification tags are sequentially fixed at preset positions on the body surface of the body to be measured; determining the movement speed of each dynamic radio frequency identification tag in different monitoring intervals according to the positioning time corresponding to the dynamic radio frequency identification tag and the distance value between the static radio frequency identification tags; the gastrointestinal power monitoring results of the body to be detected are determined based on all the movement speeds corresponding to the dynamic radio frequency identification tag, so that the body to be detected can adopt a positioning mode based on radio frequency identification, the movement data of the dynamic radio frequency identification tag which is orally taken in the body in a gastrointestinal system are collected, the corresponding monitoring results are analyzed, and compared with the traditional oral barium strip mode, the gastrointestinal system monitoring device not only can collect real-time data, but also can monitor for a long time, is low in cost, and can better assist in analyzing the state of illness of the gastrointestinal system of a user.
In order to make the above objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an arrangement pattern of static RFID tags;
FIG. 2 is a flow chart of a method for monitoring gastrointestinal motility during sleep according to an embodiment of the present application;
FIG. 3 is a schematic diagram showing the relative positions of an auxiliary collector and a body to be tested according to an embodiment of the present application;
Fig. 4 is a schematic structural diagram of a sleep gastrointestinal motility monitoring device according to an embodiment of the present application;
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. Based on the embodiments of the present application, every other embodiment obtained by a person skilled in the art without making any inventive effort falls within the scope of protection of the present application.
First, an application scenario to which the present application is applicable will be described. The application can be applied to dynamic monitoring of the gastrointestinal system.
Traditional dynamic monitoring of gastrointestinal motility is that barium strips (24) are orally taken, the oral tag can be positioned at different positions at different moments through gastrointestinal peristalsis, X-ray films are taken after 3 days, and then the gastrointestinal motility condition of a user is estimated through specific distribution of the barium strips.
The conventional monitoring method has the following disadvantages:
(A) Gastrointestinal motility may change at any time, but X-ray films cannot track the shooting every day or hour, so the time of X-ray film shooting does not necessarily accurately reflect the condition of a patient, and the data has hysteresis.
(B) The X-ray film has high cost and is not suitable for monitoring gastrointestinal motility for a long time and in large quantity.
Based on the above, the embodiment of the application provides a sleep gastrointestinal motility monitoring method and device, an electronic device and a storage medium.
In one embodiment of the present application, a sleep monitoring system is provided. The sleep gastrointestinal motility monitoring system comprises a plurality of static radio frequency identification tags, dynamic radio frequency identification tags, an auxiliary collector and a user terminal.
The static RFID tag and the dynamic RFID tag may be RFID tags with positioning accuracy on the order of centimeters. The static rfid tags may be 7. The dynamic radio frequency identification tags may be 10.
Wherein, the dynamic radio frequency identification tag needs to be orally taken by a body to be tested, so that a mini miniature RFID tag, such as an anti-metal tag with 8.6X6.1X2.6 mm, is adopted, the supporting frequency is 902-928MHZ, and the protocol ISO18000-6C/EPC is supported. The medical grade silica gel is adopted to be packaged into a capsule structure, so that the label is prevented from being corroded. The height of the capsule structure is 1.2cm, the diameter is 8mm, the capsule structure is not easy to adhere to the stomach wall and the intestinal tract in the gastrointestinal digestion process, the medical silica gel density is greater than that of water, and the capsule structure is easy to sink below the gastric contents, so that the capsule structure is ensured to be discharged from the bottom of the stomach. Meanwhile, the medical grade silica gel can not be absorbed by human body, and can be safely discharged after being taken.
The static radio frequency identification tag can be integrated with the medical non-woven fabric and is used for being fixed on the skin surface of a body to be detected. Specifically, the static radio frequency identification tags are used for partitioning different monitoring intervals of the gastrointestinal system of the to-be-detected body, and seven static radio frequency identification tags are respectively required to be correspondingly arranged at the positions of the large stomach bend, the tail end of the duodenum, the beginning of the ascending colon, the beginning of the transverse colon, the beginning of the descending colon, the beginning of the sigmoid colon and the beginning of the rectum of the to-be-detected body, because the parts with obvious characteristics generally comprise a large bay, a duodenum, the ascending colon, the transverse colon, the descending colon, the sigmoid colon and the rectum in the motion track of food in the digestive tract of the human body. As shown in fig. 1, fig. 1 is a schematic diagram of an arrangement pattern of static rfid tags.
Further, each person is different in height, weight and so the anatomy of the stomach and intestine is different. But the trajectory of the greater curvature to the duodenum is substantially the same (gastric emptying). The trend of this movement is also substantially the same from ascending to transverse to descending to sigmoid to rectal.
Because of individual differences of height, width and the like, the length and the width of the medical non-woven fabric can be different, and the positions of the static radio frequency identification tags can be correspondingly adjusted.
In the practical use process, the model of the garment is generally similar, and the non-woven fabrics with different models of S-M-L-XL-XXL-XXXL can be customized to correspond to users with different heights and waist widths. The location of the tag refers to the placement of the locations of the greater curvature, distal duodenal end, onset of ascending colon, onset of transverse colon, onset of descending colon, onset of sigmoid colon, and onset of rectum in the anatomical structure.
Before the detection, the device can be fixed on the back of a human body by a doctor, can be stuck by adhesive, and can be fixed by a cloth cover or the like. The doctor selects the non-woven fabrics with proper specification and seven static radio frequency identification tags, so that the 7 tags basically correspond to the positions of the stomach major curve (1), the duodenal tail end (2), the ascending colon start (3), the transverse colon start (4), the descending colon start (5), the sigmoid colon start (6) and the rectum start (7) of the body to be detected.
The positions of the static radio frequency identification tags (1) (2) (3) (4) (5) (6) (7) are relatively fixed for each specification of medical non-woven fabric, wherein the distances L1 of (1) - (2), the distances L2 of (3) -4, (4) -5), the distances L3 of (5) -6 and the distances L5 of (6) -7 are relatively fixed for each specification of medical non-woven fabric.
After the static radio frequency identification tag is fixed and the dynamic radio frequency identification tag is taken, the body to be measured can lie on a flat plane, such as a bed, and the auxiliary collector is placed below the trunk.
The auxiliary collector comprises a plurality of RFID miniature antennas, RFID readers, display elements, processing elements, piezoelectric sensors and communication elements. The main body of the auxiliary collector can be an elongated plate, and a plurality of RFID small antennas (4) are arranged in a square shape to form an antenna array. The RFID small antenna can be a YF-120120-CA type small antenna, has the size of 5.2cm multiplied by 0.5cm, has good read-write range, forms an RFID subsystem together with dynamic and static radio frequency identification tags, and works in 915+/-2 MHz frequency band.
Specifically, four small-sized RFID microstrip antennas can be embedded at four vertex angles of a square plate with the length of 40cm multiplied by 40cm, the horizontal or numerical distance between the centers of the two antennas is 32cm, and the distance is close to 2 times of the wavelength of an RFID subsystem, so that the small-sized RFID microstrip antennas can be used as an RFID reading array. The four antennas are all connected with an RFID reader (such as SPEEDWAY R420,420 reader) for reading the phase information of the RFID tag, so that various signal characteristics of the RFID can be read and provided, and the phase information returned by the RFID tag is collected.
The RFID reader-writer is connected with a singlechip (MCU, for example, the model can be ESP 32-S3) through a 4G module so as to upload the acquired phase signals of the RFID tag, the singlechip uploads the positioning information to a cloud through a network card module (wifi, bluetooth and the like), and the cloud calculates the position coordinates of the RFID tag through algorithm analysis.
The piezoelectric sensor can be directly connected with the singlechip to upload the pressure value that gathers to the high in the clouds.
The auxiliary collector is also correspondingly provided with a power supply for supplying power, and a display screen or an indicator lamp for indicating the working state of the auxiliary collector.
In one embodiment of the application, the cloud may perform gastrointestinal motility monitoring after receiving the pressure value or the position coordinates of the RFID tag uploaded by the auxiliary collector.
Referring to fig. 2, fig. 2 is a flowchart of a method for monitoring gastrointestinal motility during sleep according to an embodiment of the application. As shown in fig. 2, a method for monitoring gastrointestinal motility during sleep according to an embodiment of the present application includes:
s1, determining whether a sleeping body to be tested is in a lying posture or not according to the pressure value acquired by the auxiliary acquisition device, wherein the auxiliary acquisition device is positioned below the trunk of the body to be tested.
Fig. 3 is a schematic diagram showing the relative positions of the auxiliary collector and the object to be tested.
The user may lie on the auxiliary collector in a sleeping state, and thus, in order to determine to ensure accuracy of the monitoring result, it is necessary to determine whether the user has been lying on the bed.
Here, the piezoelectric sensor should be located under the torso of the subject, preferably under the heart. Whether the subject is in a lying position can be determined by:
And acquiring the sampling pressure amplitude value acquired by the piezoelectric sensor. Comparing the magnitude of the sampling pressure amplitude with the magnitude of the preset pressure amplitude, and if the magnitude of the sampling pressure amplitude is larger than the magnitude of the preset pressure amplitude, determining that the body to be measured is in a lying posture.
Specifically, the preset pressure amplitude sampling pressure amplitude is determined by:
When the body to be tested lies on the auxiliary collector, a plurality of sampling voltage values are collected in a second preset time period through the piezoelectric sensor, and the sampling voltage average value is calculated.
A difference between each sampled voltage value and the average value of the sampled voltage is calculated. And calculating the ratio between the sum of all the differences and the number of the sampling voltage values as a preset pressure amplitude sampling pressure amplitude.
Wherein,Presetting a pressure amplitude for the sampling pressure amplitude,/>For the number of sampled voltage values,/>For the average value of the sampled voltage,/>For collecting the voltage values.
The preset pressure amplitude here may be 0.8×Wherein/>When a user starts to use, the user lies on the auxiliary collector in a static lying and lying posture, and the maximum pressure value acquired by the piezoelectric sensor is recorded as/>。
I.e. when＞0.8×/>And when the object to be detected is in the lying posture, the object to be detected is determined to be in the lying posture, and the monitoring condition is determined to be met.
S2, if the body to be detected is in a lying posture, determining the positioning time of the dynamic radio frequency identification tag passing through each static radio frequency identification tag according to the position relationship between the dynamic radio frequency identification tag and the static radio frequency identification tags acquired in the first preset time period of the auxiliary acquisition device aiming at each dynamic radio frequency identification tag in a plurality of dynamic radio frequency identification tags which are orally taken into the body in advance by the body to be detected, and sequentially fixing the static radio frequency identification tags at preset positions on the body surface of the body to be detected.
After the monitoring conditions are met, the position coordinates of all RFID tags need to be initialized, and the auxiliary collector can upload the ID, the phase information and the like of each RFID tag to the cloud. The cloud end determines the corresponding position coordinates according to the phase information, and the algorithm principle of the part is widely applied in the prior art and is not repeated. The position coordinates here use a two-dimensional coordinate system (X, Y).
For the static radio frequency identification tags (1) - (7), the cloud end needs to calculate corresponding distance values L1-L5 after initializing the position coordinates of the static radio frequency identification tags.
And corresponding to the dynamic radio frequency identification tag, acquiring the corresponding position coordinate by adopting a mode of taking an average value by multipoint measurement in order to avoid larger errors. For example, the auxiliary collector uploads the phase information every 6 seconds, the cloud can determine a corresponding position parameter, and the cloud uses the average value between every 10 position parameters as the position coordinate of a dynamic radio frequency identification tag. Namely, the positioning frequency of the dynamic radio frequency identification tag is 1 minute, the posture of the to-be-detected body needs to be ensured to be unchanged, and if the posture of the to-be-detected body changes, the position coordinate is invalidated.
Specifically, by aiming at each dynamic radio frequency identification tag, the positioning time of the dynamic radio frequency identification tag passing through the target static radio frequency identification tag is determined in the following manner:
And acquiring a plurality of first position coordinates of the dynamic radio frequency identification tag within a first preset time period. And calculating a distance value between the dynamic radio frequency identification tag and the target static radio frequency identification tag according to each first position coordinate of the dynamic radio frequency identification tag and the second position coordinate of the target static radio frequency identification tag. If all the distance values are smaller than the preset distance value, determining that the dynamic radio frequency identification tag passes through the target static radio frequency identification tag, and determining that the initial time of the first preset duration is positioning time.
The first preset time period here may be set to 5 minutes. That is, for each dynamic rfid tag, if the distance between the dynamic rfid tag and the target static rfid tag remains less than or equal to 3cm, it may be determined that the dynamic rfid tag passes through the target static rfid tag.
The target static identification tag here needs to be selected in the order from the static identification tags (1) to (7). Namely, for each dynamic radio frequency identification tag, firstly, the dynamic radio frequency identification tag is analyzed with the static identification tag (1), after the dynamic radio frequency identification tag is determined to pass through the static identification tag (1), the dynamic radio frequency identification tag starts to be analyzed with the static identification tag (2), and the like until the dynamic radio frequency identification tag is determined to pass through the static identification tag (7).
When it is determined that the dynamic rfid tag passes the target static rfid tag, a location time may be determined, where the location time is selected as the start time of the 5 minute duration.
After determining that the dynamic rfid tag passes the static rfid tag (7), the time of expulsion of the dynamic rfid tag may be determined. Specifically, after the dynamic rfid tag passes the positioning time of the static rfid tag (7), the time when the dynamic rfid tag is not acquired for the first time may be recorded as the discharge time. Here, the user should return to lie flat on the auxiliary collector after defecating as much as possible.
The time of expulsion of the dynamic rfid tag may also be determined. And determining the movement duration of the dynamic radio frequency identification tag according to the first positioning time and the removal time of the dynamic radio frequency identification tag.
Finally, in step S2, for each dynamic rfid tag, the positioning time of the dynamic rfid tag passing through the static rfid tags (1) to (7) and the discharge time can be obtained.
S3, aiming at each dynamic radio frequency identification tag, determining the movement speed of the dynamic radio frequency identification tag in different monitoring intervals according to the positioning time corresponding to the dynamic radio frequency identification tag and the distance value between the static radio frequency identification tags.
In step S3, the monitoring intervals are respectively (a) stomach to duodenum movement, (b) small intestine, (c) ascending colon, (d) transverse colon, (e) descending colon, (f) sigmoid colon, and (g) rectum.
Specifically, the movement speed of each monitoring section may be calculated by:
Gastric to duodenal movement velocity V1:
；
wherein L1 is the distance value between the static radio frequency identification tags (2) - (1), and t2 and t1 are the positioning time of the current dynamic radio frequency identification tag passing through the static radio frequency identification tag (2) and the positioning time of the previous dynamic radio frequency identification tag passing through the static radio frequency identification tag (1) respectively.
Movement velocity V2 in small intestine:
；
Wherein 6 is the length value of the small intestine corresponding to the body to be detected, and t3 is the positioning time of the current dynamic radio frequency identification tag passing through the static radio frequency identification tag (3).
The small intestine length value can be adaptively adjusted according to the subject, and 6m is only a small intestine length value typical for an adult.
Rate of motion V3 within ascending colon:
；
Wherein L2 is the distance value between the static radio frequency identification tags (3) - (4), and t4 and t3 are the positioning time of the current dynamic radio frequency identification tag passing through the static radio frequency identification tag (4) and the positioning time of the previous dynamic radio frequency identification tag passing through the static radio frequency identification tag (3) respectively.
Velocity of motion V4 in transverse colon:
；
Wherein L3 is the distance value between the static radio frequency identification tags (4) - (5), and t5 is the positioning time of the current dynamic radio frequency identification tag passing through the static radio frequency identification tag (5).
Velocity of motion V5 in descending colon:
；
wherein L4 is the distance value between the static radio frequency identification tags (5) - (6), and t6 is the positioning time of the current dynamic radio frequency identification tag passing through the static radio frequency identification tag (6).
Velocity of motion V6 in sigmoid colon:
；
Wherein L5 is the distance value between the static radio frequency identification tags (6) - (7), and t7 is the positioning time of the current dynamic radio frequency identification tag passing through the static radio frequency identification tag (7).
Velocity of movement in rectum V7:
；
Wherein 0.15 is the rectal length value of the object to be tested, and t8 is the discharge time of the current dynamic RFID tag. The rectal length value here can also be adapted.
And a movement duration t=t8-T1 of each dynamic rfid tag may be determined.
S4, determining the gastrointestinal motility monitoring result of the to-be-detected body based on all the movement speeds corresponding to the dynamic radio frequency identification tag.
In step S4, the gastrointestinal motility monitoring result of the subject may be determined by:
and determining a preset number of target dynamic radio frequency identification tags according to the movement duration of each dynamic radio frequency identification tag.
The first 5 dynamic radio frequency identification tags with the shortest time can be selected as target dynamic radio frequency identification tags according to the sequence of the motion time length of each dynamic radio frequency identification tag.
And respectively determining the average movement duration, the maximum movement duration, the average movement speed and the maximum movement speed based on the movement duration corresponding to the target dynamic radio frequency identification tag and the movement speeds in different monitoring intervals to serve as a gastrointestinal power monitoring result.
And finally, the calculated movement speeds of different monitoring intervals can be the average value calculated by data corresponding to 5 target dynamic radio frequency identification tags.
According to the obtained gastrointestinal motility monitoring result, the gastrointestinal system dynamics index of the body to be tested can be analyzed. According to the sleep gastrointestinal motility monitoring method provided by the application, the body to be detected can adopt a positioning mode based on radio frequency identification, and the motion data of the dynamic radio frequency identification tag which is orally taken in the body in the gastrointestinal system can be collected, so that the corresponding monitoring result is analyzed.
In another embodiment of the present application, for a use scenario in a sleeping state of a user, since a sleeping posture of a subject may change involuntarily, it is necessary to monitor the posture of the subject in real time.
Specifically, whether the posture of the body to be detected changes can be determined according to the sampling pressure amplitude acquired by the piezoelectric sensor. If yes, updating the position coordinates of all the static radio frequency identification tags.
The sampling voltage value acquired in real time by the piezoelectric sensor can be used for counting the mean square error within one minute or three minutes, determining whether the mean square error is larger than a first preset value, and if the mean square error is larger than a first threshold value, determining that the body to be detected has body movement. If the mean square error is equal to the second preset value, the fact that the to-be-detected body leaves the bed body can be determined.
If the mean square error is between the second preset value and the first preset value, the normal lying of the body to be tested on the bed can be determined.
At this time, the step in step S1 may be performed to further determine whether the subject is in a lying posture.
When the posture of the body to be measured moving, getting out of the bed or lying down is detected to change, the static radio frequency identification tag needs to be positioned again, and the distance value between L1 and L5 is recalculated.
Referring to fig. 4, fig. 4 is a schematic structural diagram of a sleep gastrointestinal motility monitoring device according to an embodiment of the application. As shown in fig. 4, a schematic structural diagram of a sleep gastrointestinal motility monitoring apparatus 400 according to an embodiment of the present application includes:
The acquisition module 410 is configured to determine whether the sleeping body to be tested is in a lying posture according to the pressure value acquired by the auxiliary acquisition unit, where the auxiliary acquisition unit is located below the trunk of the sleeping body to be tested;
The positioning module 420 is configured to determine, for each of a plurality of dynamic rfid tags that are orally taken into the body in advance by the body to be tested, a positioning time of the dynamic rfid tag passing through each static rfid tag according to a positional relationship between the dynamic rfid tag and the plurality of static rfid tags acquired within a first preset time period of the auxiliary acquisition unit, where the static rfid tags are sequentially fixed at preset positions on the body surface of the body to be tested if the body to be tested is in a lying posture;
The processing module 430 is configured to determine, for each dynamic rfid tag, a movement speed of the dynamic rfid tag in different monitoring intervals according to a positioning time corresponding to the dynamic rfid tag and a distance value between static rfid tags;
the analysis module 440 is configured to determine a gastrointestinal motility monitoring result of the subject based on all the movement speeds corresponding to the dynamic rfid tag.
In a preferred embodiment, the acquisition module 410 determines whether the subject is in a lying position by: acquiring a sampling pressure amplitude value acquired by a piezoelectric sensor; comparing the magnitude of the sampling pressure amplitude with the magnitude of the preset pressure amplitude, and if the magnitude of the sampling pressure amplitude is larger than the magnitude of the preset pressure amplitude, determining that the body to be measured is in a lying posture.
In a preferred embodiment, the preset pressure amplitude is determined by: when the body to be tested lies on the auxiliary collector, collecting a plurality of sampling voltage values in a second preset time period through the piezoelectric sensor, and calculating the average value of the sampling voltages; calculating a difference value between each sampling voltage value and the sampling voltage average value; and calculating the ratio between the sum of all the differences and the number value of the sampling voltage values, and taking the product between the ratio and a preset value as the preset pressure amplitude.
In a preferred embodiment, by targeting each dynamic RFID tag, the location module 420 determines the location time for the dynamic RFID tag to pass by the target static RFID tag by: acquiring a plurality of first position coordinates of the dynamic radio frequency identification tag within a first preset time period; calculating a distance value between the dynamic radio frequency identification tag and the target static radio frequency identification tag based on the first position coordinates and the second position coordinates of the target static radio frequency identification tag for each first position coordinate of the dynamic radio frequency identification tag; if all the distance values are smaller than the preset distance value, determining that the dynamic radio frequency identification tag passes through the target static radio frequency identification tag, and determining that the initial time of the first preset duration is positioning time.
In a preferred embodiment, for each dynamic radio frequency identification tag, further comprising: determining the discharge time of the dynamic radio frequency identification tag; and determining the movement duration of the dynamic radio frequency identification tag according to the first positioning time and the removal time of the dynamic radio frequency identification tag.
In a preferred embodiment, the analysis module 440 determines the gastrointestinal motility monitoring of the subject by: determining a preset number of target dynamic radio frequency identification tags according to the movement duration of each dynamic radio frequency identification tag; and respectively determining the average movement duration, the maximum movement duration, the average movement speed and the maximum movement speed based on the movement duration corresponding to the target dynamic radio frequency identification tag and the movement speeds in different monitoring intervals to serve as a gastrointestinal power monitoring result.
In a preferred embodiment, determining whether the posture of the body to be measured is changed according to the sampling pressure amplitude acquired by the piezoelectric sensor; if yes, updating the position coordinates of all the static radio frequency identification tags.
Referring to fig. 5, fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the application. As shown in fig. 5, the electronic device 500 includes a processor 510, a memory 520, and a bus 530.
The memory 520 stores machine-readable instructions executable by the processor 510, and when the electronic device 500 is running, the processor 510 communicates with the memory 520 through the bus 530, and when the machine-readable instructions are executed by the processor 510, the steps of a sleep gastrointestinal motility monitoring method in the above method embodiment may be executed, and a specific implementation may refer to the method embodiment and will not be described herein.
The embodiment of the application also provides a computer readable storage medium, and a computer program is stored on the computer readable storage medium, and when the computer program is executed by a processor, the steps of a sleep gastrointestinal motility monitoring method in the above method embodiment can be executed, and the specific implementation manner can refer to the method embodiment and will not be described herein.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. The above-described apparatus embodiments are merely illustrative, for example, the division of the units is merely a logical function division, and there may be other manners of division in actual implementation, and for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer readable storage medium executable by a processor. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Finally, it should be noted that: the above examples are only specific embodiments of the present application, and are not intended to limit the scope of the present application, but it should be understood by those skilled in the art that the present application is not limited thereto, and that the present application is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application. Therefore, the protection scope of the application is subject to the protection scope of the claims.
Claims (10)
1. A method of monitoring gastrointestinal motility in sleep, the method comprising:
determining whether a sleeping body to be tested is in a lying posture or not according to the pressure value acquired by the auxiliary acquisition device, wherein the auxiliary acquisition device is positioned below the trunk of the body to be tested;
if the body to be detected is in a lying posture, determining the positioning time of the dynamic radio frequency identification tag passing through each static radio frequency identification tag according to the position relationship between the dynamic radio frequency identification tag and the static radio frequency identification tags acquired in the first preset time period of the auxiliary acquisition device aiming at each dynamic radio frequency identification tag in a plurality of dynamic radio frequency identification tags which are orally taken into the body in advance by the body to be detected, wherein the static radio frequency identification tags are sequentially fixed on the body surface of the body to be detected and correspond to the positions of the major curvature, the tail end of the duodenum, the beginning of ascending colon, the beginning of transverse colon, the beginning of descending colon, the beginning of sigmoid colon and the beginning of rectum respectively;
determining the movement speed of each dynamic radio frequency identification tag in different monitoring intervals according to the positioning time corresponding to the dynamic radio frequency identification tag and the distance value between the static radio frequency identification tags;
and determining the gastrointestinal power monitoring result of the to-be-detected body based on all the movement speeds corresponding to the dynamic radio frequency identification tag.
2. The method of claim 1, wherein the auxiliary collector comprises a piezoelectric sensor that determines whether the subject is in a lying position by:
acquiring a sampling pressure amplitude value acquired by the piezoelectric sensor;
comparing the magnitude of the sampling pressure amplitude with the magnitude of the preset pressure amplitude, and if the magnitude of the sampling pressure amplitude is larger than the magnitude of the preset pressure amplitude, determining that the body to be measured is in a lying posture.
3. The method of claim 2, wherein the sampling pressure magnitude is determined by:
When a body to be tested is laid on the auxiliary collector, collecting a plurality of sampling voltage values within a second preset time period through the piezoelectric sensor, and calculating a sampling voltage average value;
calculating a difference between each sampled voltage value and the average value of the sampled voltages;
And calculating the ratio between the sum of all the differences and the number of the sampling voltage values as the sampling pressure amplitude.
4. The method of claim 1, wherein for each dynamic rfid tag, determining the location time of the dynamic rfid tag past the target static rfid tag is performed by:
Acquiring a plurality of first position coordinates of the dynamic radio frequency identification tag within a first preset time period;
Calculating a distance value between the dynamic radio frequency identification tag and the target static radio frequency identification tag based on the first position coordinates and the second position coordinates of the target static radio frequency identification tag for each first position coordinate of the dynamic radio frequency identification tag;
if all the distance values are smaller than the preset distance value, determining that the dynamic radio frequency identification tag passes through the target static radio frequency identification tag, and determining that the initial time of the first preset duration is the positioning time.
5. The method of claim 1, wherein for each dynamic radio frequency identification tag, further comprising:
determining the discharge time of the dynamic radio frequency identification tag;
and determining the movement duration of the dynamic radio frequency identification tag according to the first positioning time and the removal time of the dynamic radio frequency identification tag.
6. The method of claim 5, wherein the gastrointestinal motility monitoring of the subject is determined by:
Determining a preset number of target dynamic radio frequency identification tags according to the movement duration of each dynamic radio frequency identification tag;
And respectively determining the average movement duration, the maximum movement duration, the average movement speed and the maximum movement speed based on the movement duration corresponding to the target dynamic radio frequency identification tag and the movement speeds in different monitoring intervals to serve as the gastrointestinal power monitoring result.
7. The method as recited in claim 2, further comprising:
determining whether the posture of the to-be-detected body is changed or not according to the sampling pressure amplitude acquired by the piezoelectric sensor;
if yes, updating the position coordinates of all the static radio frequency identification tags.
8. A sleep gastrointestinal motility monitoring device, the device comprising:
The acquisition module is used for determining whether a sleeping body to be detected is in a lying posture or not according to the pressure value acquired by the auxiliary acquisition device, and the auxiliary acquisition device is positioned below the trunk of the body to be detected;
The positioning module is used for determining the positioning time of the dynamic radio frequency identification tag passing through each static radio frequency identification tag according to the position relationship between the dynamic radio frequency identification tag and the static radio frequency identification tag acquired in the first preset time period of the auxiliary acquisition device aiming at each of a plurality of dynamic radio frequency identification tags which are orally taken into the body in advance by the body to be detected if the body to be detected is in a lying posture, wherein the static radio frequency identification tags are sequentially fixed on the body surface of the body to be detected and correspond to the positions of the large stomach bend, the tail end of the duodenum, the beginning of the ascending colon, the beginning of the transverse colon, the beginning of the descending colon, the beginning of the sigmoid colon and the beginning of the rectum respectively;
The processing module is used for determining the movement speed of each dynamic radio frequency identification tag in different monitoring intervals according to the positioning time corresponding to the dynamic radio frequency identification tag and the distance value between the static radio frequency identification tags;
And the analysis module is used for determining the gastrointestinal motility monitoring result of the body to be detected based on all the movement speeds corresponding to the dynamic radio frequency identification tag.
9. An electronic device, comprising: a processor, a memory and a bus, said memory storing machine readable instructions executable by said processor, said processor and said memory communicating over the bus when the electronic device is running, said processor executing said machine readable instructions to perform the steps of the sleep gastrointestinal motility monitoring method according to any one of claims 1 to 7.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, performs the steps of the sleep gastrointestinal motility monitoring method according to any one of claims 1 to 7.
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