CN111000538A - Pulse condition acquisition and pulse diagnosis device and method capable of exceeding human touch spatial resolution - Google Patents
Pulse condition acquisition and pulse diagnosis device and method capable of exceeding human touch spatial resolution Download PDFInfo
- Publication number
- CN111000538A CN111000538A CN201911389710.7A CN201911389710A CN111000538A CN 111000538 A CN111000538 A CN 111000538A CN 201911389710 A CN201911389710 A CN 201911389710A CN 111000538 A CN111000538 A CN 111000538A
- Authority
- CN
- China
- Prior art keywords
- pressure
- pressure sensor
- sensors
- pulse condition
- rows
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000003745 diagnosis Methods 0.000 title abstract description 16
- 238000001514 detection method Methods 0.000 claims description 90
- 230000008859 change Effects 0.000 claims description 47
- 238000012549 training Methods 0.000 claims description 33
- 238000012545 processing Methods 0.000 claims description 25
- 238000003062 neural network model Methods 0.000 claims description 18
- 238000003672 processing method Methods 0.000 claims description 14
- 238000013528 artificial neural network Methods 0.000 claims description 12
- 230000008569 process Effects 0.000 claims description 12
- 238000010586 diagram Methods 0.000 claims description 11
- 238000005259 measurement Methods 0.000 claims description 10
- 238000004422 calculation algorithm Methods 0.000 claims description 9
- 238000004088 simulation Methods 0.000 claims description 7
- 238000005516 engineering process Methods 0.000 claims description 6
- 210000002321 radial artery Anatomy 0.000 claims description 5
- 230000000007 visual effect Effects 0.000 claims description 4
- 230000017531 blood circulation Effects 0.000 description 5
- 239000003814 drug Substances 0.000 description 5
- 230000035945 sensitivity Effects 0.000 description 5
- 230000006872 improvement Effects 0.000 description 4
- 230000000750 progressive effect Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 210000004204 blood vessel Anatomy 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 210000000056 organ Anatomy 0.000 description 1
- 230000035790 physiological processes and functions Effects 0.000 description 1
- 230000010349 pulsation Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000033764 rhythmic process Effects 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 210000002435 tendon Anatomy 0.000 description 1
- 210000003462 vein Anatomy 0.000 description 1
- 210000000707 wrist Anatomy 0.000 description 1
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
-
- 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
- A61B5/4854—Diagnosis based on concepts of traditional oriental medicine
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Medical Informatics (AREA)
- Biomedical Technology (AREA)
- Public Health (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Veterinary Medicine (AREA)
- Heart & Thoracic Surgery (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Alternative & Traditional Medicine (AREA)
- Cardiology (AREA)
- Physiology (AREA)
- Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
Abstract
The specification discloses a pulse condition acquisition and pulse diagnosis device and method capable of exceeding the human tactile spatial resolution, wherein the pulse condition acquisition device comprises: the pressure sensor groups are arranged in a staggered mode in a gradual changing mode, and each pressure sensor group comprises a plurality of pressure sensors which are arranged at preset intervals; the number of the pressure sensors of the odd-numbered rows of pressure sensor groups is one or less than that of the pressure sensors of the even-numbered rows of pressure sensor groups; each pressure sensor of the ith row of pressure sensor group and each pressure sensor of the jth row of pressure sensor group are correspondingly arranged in parallel, wherein i is not equal to j, and both i and j are odd numbers which are more than or equal to 1; the pressure sensor groups in the first row and the even rows move up or down relative to the pressure sensor groups in the first row and the odd rows in a first preset proportion, and the pressure sensor groups in the rest even rows move up or down relative to the pressure sensor groups in the previous even rows in a consistent direction in a second preset proportion.
Description
Technical Field
The invention relates to the technical field of sensing, in particular to a pulse condition acquisition and pulse diagnosis device and method capable of exceeding the human skin touch spatial resolution.
Background
In the theory of traditional Chinese medicine, the human body is formed by connecting meridians, especially the veins of the wrist, which correspond to the organs of the human body. The doctor cuts and presses the cun, guan and chi parts of the cun-kou radial artery of the patient with fingers and applies floating, middle and deep pressure to generate a series of pulse waves containing information of the position, strength, trend, shape, width, rhythm and the like of the pulse, which are called pulse conditions, and the physiological state of the patient can be known through the pulse conditions sensed by the fingers through touch.
However, the traditional Chinese medicine pulse diagnosis needs to be accumulated by means of long-term experience of doctors, and the description of the pulse condition by the traditional Chinese medicine theory is too fuzzy and general, and has no objective and quantifiable evaluation standard, so that the subjectivity and inheritance of the diagnosis result are difficult. The pulse condition instrument is developed for objectively acquiring a quantified pulse wave pattern for scientific research, medical diagnosis and the like. The existing pulse condition instrument mainly adopts a single part, most of the existing pulse condition instruments use a single sensor, pulse condition information cannot be comprehensively obtained, and signals acquired by pulse condition acquisition have low reliability, precision and sensitivity and cannot reach the precision and sensitivity of human finger touch. In addition, the pressure sensors of the existing sensor array do not necessarily cover the cun, guan and chi acupoints completely, and can not be effectively sunk according to the traditional Chinese medicine pulse feeling idea, so that the measured pulse waveform is inaccurate or vague, and misdiagnosis is caused.
Therefore, it is a problem to be solved by those skilled in the art to develop a pulse feeling device that achieves or exceeds the tactile accuracy and sensitivity of the fingers of traditional Chinese medicine.
Disclosure of Invention
The present specification provides a pulse condition collecting and pulse feeling device and method capable of exceeding the spatial resolution of human skin touch sense, so as to overcome at least one technical problem in the prior art.
According to a first aspect of embodiments herein, there is provided a pulse condition acquisition apparatus, including: the pressure sensor group comprises a plurality of pressure sensors which are arranged at intervals in a gradual change and staggered manner, wherein each pressure sensor group comprises a plurality of pressure sensors which are arranged at preset intervals, and the preset intervals are not less than the minimum value of the sensor distance required by the normal work of two adjacent sensors; the number of the pressure sensors of the odd-numbered rows of the pressure sensor groups is the same, the number of the pressure sensors of the even-numbered rows of the pressure sensor groups is the same, and the number of the pressure sensors of the odd-numbered rows of the pressure sensor groups is one or less than that of the pressure sensors of the even-numbered rows of the pressure sensor groups; each pressure sensor of the ith row of pressure sensor group and each pressure sensor of the jth row of pressure sensor group are correspondingly arranged in parallel, wherein i is not equal to j, and both i and j are odd numbers which are more than or equal to 1; the pressure sensor group of the first row of even rows moves up or down relative to the pressure sensor group of the first row of odd rows according to a first preset proportion, the pressure sensor groups of the other even rows move up or down in the same direction relative to the pressure sensor group of the previous even row according to a second preset proportion, the first preset proportion is related to the side length of the pressure sensors and the distance between the pressure sensors, and the second preset proportion is inversely proportional to the total number of the even rows.
Optionally, the first column even column pressure sensor group is shifted up or down relative to the first column odd column pressure sensor group
Wherein a is the side length of the square pressure sensor chip parallel to the rows, △ t is the distance between two adjacent sensors, and the rest even-row pressure sensor groups move up or down in the same direction with respect to the previous even-row pressure sensor group
Wherein a is the side length of the square pressure sensor chip parallel to the rows, △ t is the distance between two adjacent sensors above and below the pressure sensor group, and N is the total number of even rows.
Optionally, the distance between the sensors in each row of the pressure sensor group is not more than 0.4 mm and not less than the minimum value of the distance between the sensors required by the normal operation of two adjacent sensors; the distance between two adjacent rows of pressure sensor groups is not more than 0.65 millimeter and not less than the minimum value of the sensor distance required by the normal work of two adjacent sensors; the minimum value of the sensor spacing is related to the characteristics of the sensor and the processing technology.
Optionally, the total height of each row of pressure sensors for effectively acquiring the information group is 2.5-8 mm; the sum of the total spans of the information groups effectively collected by all the rows of pressure sensors is not more than 12 mm; the arrangement density of the multiple rows of pressure sensor groups arranged in a gradual change and staggered manner at intervals is that each square centimeter at least comprises 110 pressure sensors.
Optionally, in all the column pressure sensor groups, the pressure sensor at the middle position of the head-to-tail column and the middle column is used as an anchor point.
According to a second aspect of the embodiments of the present specification, there is provided a pulse condition acquisition data processing method, including:
acquiring pulse condition detection data acquired by a pulse condition acquisition device at each moment, wherein the pulse condition acquisition device is arranged at the radial artery of a detected object, and
the pulse condition acquisition device comprises a plurality of rows of pressure sensor groups which are arranged in a staggered mode in a gradual change mode, each row of pressure sensor group comprises a plurality of pressure sensors which are arranged at preset intervals, and the preset intervals are not smaller than the minimum value of the sensor distance required by the normal work of two adjacent sensors; the number of the pressure sensors of the odd-numbered rows of the pressure sensor groups is the same, the number of the pressure sensors of the even-numbered rows of the pressure sensor groups is the same, and the number of the pressure sensors of the odd-numbered rows of the pressure sensor groups is one or less than that of the pressure sensors of the even-numbered rows of the pressure sensor groups; each pressure sensor of the ith row of pressure sensor group and each pressure sensor of the jth row of pressure sensor group are correspondingly arranged in parallel, wherein i is not equal to j, and both i and j are odd numbers which are more than or equal to 1; the pressure sensor group of the first row of even rows moves up or down relative to the pressure sensor group of the first row of odd rows according to a first preset proportion, the pressure sensor groups of the other even rows move up or down in the same direction relative to the pressure sensor group of the previous even row according to a second preset proportion, the first preset proportion is related to the side length of the pressure sensors and the distance between the sensors, and the second preset proportion is in inverse proportion to the total number of the even rows;
inputting the pulse condition detection data into a pre-trained neural network model to obtain simulated pressure data of any point on a connecting line of any two adjacent pressure sensors or in an area comprising a plurality of sensors, wherein the simulated pressure data is output by the neural network; verifying the simulated pressure data according to pulse condition detection data of adjacent sensors or sensors in the area to obtain credible simulated pressure data;
and processing the pulse condition detection data and the credible simulated pressure data according to blocks to obtain a pressure change trend at the measuring position, wherein the pressure change trend is used for representing pulse condition characteristics.
Optionally, after the step of processing the pulse condition detection data and the simulated pressure data by blocks to obtain the pressure variation trend at the measurement position, the method further includes: and drawing a visual dynamic three-dimensional pulse wave diagram or image according to the acquired pulse condition detection data and the predicted simulated pressure data through a preset data processing algorithm by means of sequential scanning or instant scanning in a preset form, and calibrating corresponding values and proportions, wherein the dynamic three-dimensional pulse wave diagram or image is used for representing pulse condition characteristics.
Optionally, the neural network model is generated by steps comprising: acquiring a training sample set, wherein the training sample set comprises two types of training sample sets, the first type of training sample set comprises a plurality of types of training samples, and each type of training sample comprises detection pressure values of two pressure sensors and pressure values of a plurality of points on a connecting line of the two pressure sensors; the second type training sample group comprises a plurality of second type training samples, and each second type training sample comprises detection pressure values of a plurality of pressure sensors in a preset area and pressure values of a plurality of points between the pressure sensors in the preset area: and training a neural network model through the training sample set to obtain the neural network model, wherein the neural network model is used for obtaining the pressure value of any point on the connecting line of the two pressure sensors according to the input detection pressure values of the two pressure sensors and obtaining the pressure value of any point in the areas of the pressure sensors according to the input detection pressure values of the pressure sensors.
Optionally, the step of processing the pulse condition detection data and the simulated pressure data by blocks to obtain a pressure variation trend at the measurement position includes: according to the arrangement sequence of the multi-column pressure sensor group, comparing the pulse condition detection data and the simulated pressure data acquired in the area where the previous odd-column sensor is located with the pulse condition detection data or the simulated pressure data acquired by the corresponding pressure sensor in the adjacent even-column behind the previous odd-column sensor; comparing the pulse condition detection data and the simulated pressure data acquired in the area where the previous group of odd columns are located with the pulse condition detection data or the simulated pressure data acquired by the corresponding pressure sensors in the adjacent odd columns behind the previous group of odd columns to obtain the pressure change trend at the measuring position, wherein the pressure change trend is used for representing the pulse condition characteristics.
According to a third aspect of embodiments herein, there is provided a pulse feeling device comprising:
the sensing data acquisition module is configured to acquire pulse condition detection data acquired by a pulse condition acquisition device at each moment, wherein the pulse condition acquisition device comprises:
the pressure sensor group comprises a plurality of pressure sensors which are arranged at intervals in a gradual change and staggered manner, wherein each pressure sensor group comprises a plurality of pressure sensors which are arranged at preset intervals, and the preset intervals are not less than the minimum value of the sensor distance required by the normal work of two adjacent sensors; the number of the pressure sensors of the odd-numbered rows of the pressure sensor groups is the same, the number of the pressure sensors of the even-numbered rows of the pressure sensor groups is the same, and the number of the pressure sensors of the odd-numbered rows of the pressure sensor groups is one or less than that of the pressure sensors of the even-numbered rows of the pressure sensor groups; each pressure sensor of the ith row of pressure sensor group and each pressure sensor of the jth row of pressure sensor group are correspondingly arranged in parallel, wherein i is not equal to j, and both i and j are odd numbers which are more than or equal to 1; the pressure sensor group of the first row of even rows moves up or down relative to the pressure sensor group of the first row of odd rows according to a first preset proportion, the pressure sensor groups of the other even rows move up or down in the same direction relative to the pressure sensor group of the previous even row according to a second preset proportion, the first preset proportion is related to the side length of the pressure sensors and the distance between the sensors, and the second preset proportion is in inverse proportion to the total number of the even rows;
the simulation data generation module is configured to input the pulse condition detection data into a pre-trained neural network model to obtain simulation pressure data of any point, which is output by the neural network, on a connecting line between any two adjacent pressure sensors or in an area comprising a plurality of sensors; verifying the simulated pressure data according to pulse condition detection data of adjacent sensors or sensors in the area to obtain credible simulated pressure data;
and the pulse condition information generation module is configured to process the pulse condition detection data and the credible simulated pressure data according to blocks to obtain a pressure change trend at the measuring position, and the pressure change trend is used for representing pulse condition characteristics.
The beneficial effects of the embodiment of the specification are as follows:
in the embodiment of the specification, a pulse condition acquisition and pulse diagnosis device and a pulse condition diagnosis method capable of exceeding the spatial resolution of human touch are provided, wherein the pulse condition acquisition device obtains pulse condition detection data through a plurality of rows of pressure sensor groups which are arranged in a gradual change and dislocation manner at intervals, the arrangement density of the plurality of rows of pressure sensor groups reaches or exceeds the spatial resolution of human touch, and the pulse condition detection data obtained according to the sensor arrays which are arranged in the gradual change and dislocation manner at intervals have spatial distribution relation. The pulse condition acquisition data processing method is characterized in that pulse condition detection data are processed according to the relation between pulse condition detection data and a pre-trained neural network to obtain simulated pressure data of a plurality of points on a connecting line of adjacent pressure sensors and a plurality of points in an area where the plurality of pressure sensors are located, and the simulated pressure data are verified and screened according to the determined pulse condition detection data. And further processing the pulse condition detection data and the screened simulated pressure data according to blocks to obtain a pressure change trend at the measuring position, wherein the pressure change trend represents the pulse condition. The pulse diagnosis device based on the pulse condition acquisition device and the pulse condition acquisition data processing method realizes automatic acquisition of pulse condition detection data at the setting position of the pulse condition acquisition device and generation of corresponding pressure change trend, can conveniently monitor the change of the pulse condition in real time, comprehensively and objectively reflects pulse condition information, and makes progressive improvement on the pulse diagnosis device.
The innovation points of the embodiment of the specification comprise:
1. in this embodiment, the pulse condition acquisition device obtains pulse condition detection data through a plurality of rows of pressure sensor groups arranged in a gradually-changed and staggered manner, the arrangement density of the plurality of rows of pressure sensor groups reaches or exceeds the spatial resolution of human touch, and the pulse condition detection data obtained according to the sensor array arranged in a gradually-changed and staggered manner has spatial distribution relation. The pulse condition acquisition data processing method is characterized in that pulse condition detection data are processed according to the relation between pulse condition detection data and a pre-trained neural network to obtain simulated pressure data of a plurality of points on a connecting line of adjacent pressure sensors and a plurality of points in an area where the plurality of pressure sensors are located, and the simulated pressure data are verified and screened according to the determined pulse condition detection data. And further processing the pulse condition detection data and the screened simulated pressure data according to blocks to obtain a pressure change trend at the measuring position, wherein the pressure change trend represents the pulse condition. The pulse diagnosis device based on the pulse condition acquisition device and the pulse condition acquisition data processing method achieves the purposes of automatically acquiring pulse condition detection data at the setting position of the pulse condition acquisition device and generating corresponding pressure change trend, can conveniently monitor the change of the pulse condition in real time, comprehensively and objectively reflects pulse condition information, makes progressive improvement on the pulse diagnosis device, and is one of the innovation points of the embodiment of the specification.
2. In this embodiment, the multiple rows of pressure sensor groups of the pulse condition acquisition device are arranged in a manner that every two adjacent sensors are spatially associated with each other, and the measured sensor data can be verified with each other due to spatial association, and the pressure value of the indirect measurement point can be estimated according to the association, and further the estimated simulated pressure value is verified according to the association, so that the accuracy of the data obtained by the pulse condition acquisition device is ensured, and the problem of low reliability of pulse condition acquisition information in the prior art is solved, which is one of the innovative points in the embodiments of the present specification.
3. In this embodiment, the multiple rows of pressure sensor groups of the pulse condition acquisition device are arranged in a manner that every two rows are gradually staggered, so that pressure values at more positions on the cross section of blood flow are obtained, the spatial resolution of the sensor array is directly increased, and the spatial resolution of the human finger touch is directly and objectively reached or exceeded.
4. In this embodiment, in the odd-numbered rows of the pressure sensor group of the pulse condition acquisition device, the head-tail rows and the middle rows are provided with the pulse wave positioning points, so as to facilitate correction of the acquisition position of the pulse condition acquisition device in the use process, and ensure that the set position of the pulse condition acquisition device can cover cun, guan and chi acupoints, thereby achieving the purpose of detecting the pulse condition, achieving consistency of acquiring the pulse condition, and further ensuring accuracy of acquiring data, which is one of the innovative points in the embodiments of the present specification.
5. In this embodiment, the pulse condition acquisition data processing method processes the pulse condition detection data through the neural network by using the correlation through the correlation between the sensor array data, so that not only is the data volume representing the pulse condition greatly expanded, but also the simulated pressure data is verified by using the correlation, the reliability of the simulated pressure data is improved, further, the spatial resolution is further increased on the premise of the original directly obtained spatial resolution, the limitation of the size of the sensor on the spatial resolution is broken through, and the improvement of data processing in the aspects of quality and quantity is realized by using an algorithm, which is one of the innovative points of the embodiments of the present specification.
6. In this embodiment, the first even columns are staggered with respect to the first odd columns according to a first preset ratio, and each even column is staggered with respect to the previous even columns according to a second preset ratio in the same direction from the second even columns, and this unique staggered manner provides spatial correlation between the sensors, wherein the first preset ratio is designed in consideration of the staggered distance of the even columns with respect to the first odd columns, which is related to the side length of the sensor and the sensor pitch, and the second preset ratio is designed in consideration of the total number of the even columns, the side length of the sensor and the sensor pitch.
7. In this embodiment, the pulse condition detection data is obtained by the pulse condition acquisition device, the obtained pulse condition detection data is processed according to the pulse condition acquisition data processing method, the pressure change trend at the measurement position is obtained, effective pulsation information is extracted to represent pulse condition characteristics, and the change of the relevant pulse condition characteristics is visually presented, which is one of the innovative points of the embodiments of the present specification.
Drawings
In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a partial schematic view of a sensor array of a pulse condition acquisition device according to an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of a pulse condition acquisition data processing method according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a pulse feeling device according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of the present invention.
The embodiment of the specification discloses a pulse condition acquisition and pulse diagnosis device and method capable of exceeding the human tactile spatial resolution. The following are detailed below.
Fig. 1 is a partial schematic view of a sensor array of a pulse condition acquisition device according to an embodiment of the present disclosure. As shown in fig. 1, the pulse condition collecting device includes a plurality of rows of pressure sensor groups arranged in a gradually-changing and staggered manner, each row of pressure sensor group includes a plurality of pressure sensors arranged at preset intervals, and the preset intervals are not less than the minimum value of the sensor intervals required by the normal operation of two adjacent sensors.
The staggered gradual dislocation is a special dislocation mode, so that the data obtained by the sensor array has spatial correlation which is very critical for processing detection data and predicting simulation data and verifying simulation data.
The number of the pressure sensors of the odd-numbered rows of the pressure sensor groups is the same, the number of the pressure sensors of the even-numbered rows of the pressure sensor groups is the same, and the number of the pressure sensors of the odd-numbered rows of the pressure sensor groups is one or less than that of the pressure sensors of the even-numbered rows of the pressure sensor groups; and each pressure sensor of the ith row of pressure sensor groups is correspondingly arranged in parallel with each pressure sensor of the jth row of pressure sensor groups, wherein i is not equal to j, and i and j are both odd numbers which are more than or equal to 1.
The number of the odd-numbered sensors and the number of the even-numbered sensors of the sensor array are different by one, so that the requirement of staggered arrangement is met. And the sensors in the odd columns are correspondingly and parallelly arranged, so that data obtained by the sensors in the odd columns can be verified before and after, and the change of the pressure value is reflected.
The pressure sensor group of the first row of even rows moves up or down relative to the pressure sensor group of the first row of odd rows according to a first preset proportion, the pressure sensor groups of the other even rows move up or down in the same direction relative to the pressure sensor group of the previous even row according to a second preset proportion, the first preset proportion is related to the side length of the pressure sensors and the distance between the pressure sensors, and the second preset proportion is inversely proportional to the total number of the even rows. The direction of blood flow is perpendicular to the columns.
The sensors in each row are mutually associated with the front, back, left and right adjacent sensors, the data obtained by each sensor can be mutually verified, and the obtained data can be expanded and verified by combining a pre-designed special algorithm, so that the aim of improving the spatial resolution in the directions of the abscissa and the ordinate is fulfilled.
In one embodiment, the first column even column pressure sensor group is shifted up or down relative to the first column odd column pressure sensor group
Wherein a is the side length of the square pressure sensor chip parallel to the rows, △ t is the distance between two adjacent sensors, and the rest even-row pressure sensor groups move up or down in the same direction with respect to the previous even-row pressure sensor group
Wherein a is the side length of the square pressure sensor chip parallel to the rows, △ t is the distance between two adjacent sensors above and below the pressure sensor group, and N is the total number of even rows.
The even columns are staggered according to the first preset proportion and the second preset proportion, and the design of the first preset proportion considers that the staggered distance of the even columns relative to the first odd columns is related to the side length of the sensor and the distance between the sensors; the second predetermined proportion takes into account the total number of even columns, and the staggered arrangement enables spatial correlation between the sensors, and thus correlation between the pulse condition detection data.
In one embodiment, the distance between the sensors in each row of the pressure sensor group is not more than 0.4 mm and not less than the minimum value of the distance between the sensors required by the normal work of two adjacent sensors; the distance between two adjacent rows of pressure sensor groups is not more than 0.65 millimeter and not less than the minimum value of the sensor distance required by the normal work of two adjacent sensors; the minimum value of the sensor spacing is related to the characteristics of the sensor and the processing technology.
The column spacing and the intra-column spacing of the sensor array are designed to increase the spatial resolution as much as possible under the permission of the existing processing technology, the smaller the spacing, the more sensors per unit area, the more data are obtained, the higher the spatial resolution tends to be, but the distance between the sensors must be larger than the minimum value of the spacing capable of working normally, so that the measured data distortion caused by the too close distance between the sensors is avoided. Considering the level of the existing processing technology (including the fixation of the line feet), the distance between the left and the right rows is not more than 0.65 mm.
In one embodiment, the total height of the effective information collection group of each row of pressure sensors is 2.5-8 mm; the sum of the total spans of the information groups effectively collected by all the rows of pressure sensors is not more than 12 mm; the arrangement density of the multiple rows of pressure sensor groups arranged in a gradual change and staggered manner at intervals is that each square centimeter at least comprises 110 pressure sensors.
Considering the external diameter (about 2.4 mm) of the radial artery and the position (between the radius and the tendon), the total height of each row is controlled to be 2.5-8 mm, and considering the maximum width of a human finger, the sum of the spans of all the rows of the pressure sensor groups is not more than 12 mm. For example, if the side length of the sensor is 0.6 mm and the column pitch is 0.65mm, and when the column pitch is 0.04 mm, 0.05 mm, or 0.08 mm, the number of the sensors per square centimeter can be 117, 115, or 110, respectively, according to the arrangement shown in fig. one. The skin touch spatial resolution of a human body is high or low, about 20-30 touch sensitive points are generally arranged per square centimeter, but fingers and the like contain the most touch sensitive points and can reach 100 touch sensitive points per square centimeter at most, the spatial resolution of the pulse condition acquisition device can reach at least 110 pressure sensors per square centimeter, and the spatial resolution of the human fingers is reached or exceeded.
The finger is the most sensitive part of human touch, and the distribution density of the contact points on the skin surface is in direct proportion to the sensitivity of the part to touch pressure. The threshold is also lowest at the fingertip, about 0.3-0.5 g per square millimeter, and about 100 touch points per square centimeter. The threshold value of the sensor sensitive chip designed by the embodiment of the specification is less than 0.1 gram per square millimeter, and is far greater than the sensitivity of human senses to pressure.
In one embodiment, the pressure sensors in the middle positions of the head-to-tail columns and the middle columns are used as positioning points in all the column pressure sensor groups. The setting of the positioning points is beneficial to correcting the acquisition position of the pulse condition acquisition device in the using process so as to ensure that the setting position of the pulse condition acquisition device can cover the pulse position point, so as to ensure that the blood vessel is positioned in the middle position of each row of sensors, and the blood flow direction is vertical to each row of sensor groups, thereby realizing the purpose of detecting the pulse condition, achieving the consistency of acquiring the pulse condition and further ensuring the accuracy of acquiring data.
In this embodiment, the multiple rows of pressure sensor groups of the pulse condition acquisition device are arranged in a staggered gradual change manner, so that any two adjacent sensors are spatially associated with each other, the measured sensor data can be verified with each other due to spatial association, the pressure value of an indirect measurement point can be estimated according to the association, the estimated simulated pressure value is further verified according to the association, the accuracy of the data obtained by the pulse condition acquisition device is ensured, and the problem of low reliability of pulse condition acquisition information in the prior art is solved.
Fig. 2 is a schematic flow chart of a pulse condition acquisition data processing method according to an embodiment of the present disclosure. The pulse condition acquisition data processing method comprises the following steps:
s210, acquiring pulse condition detection data acquired by a pulse condition acquisition device at each moment, wherein the pulse condition acquisition device is arranged at the radial artery of a detected object, and
the pulse condition acquisition device comprises a plurality of rows of pressure sensor groups which are arranged in a staggered mode in a gradual change mode, each row of pressure sensor group comprises a plurality of pressure sensors which are arranged at preset intervals, and the preset intervals are not smaller than the minimum value of the sensor distance required by the normal work of two adjacent sensors; the number of the pressure sensors of the odd-numbered rows of the pressure sensor groups is the same, the number of the pressure sensors of the even-numbered rows of the pressure sensor groups is the same, and the number of the pressure sensors of the odd-numbered rows of the pressure sensor groups is one or less than that of the pressure sensors of the even-numbered rows of the pressure sensor groups; each pressure sensor of the ith row of pressure sensor group and each pressure sensor of the jth row of pressure sensor group are correspondingly arranged in parallel, wherein i is not equal to j, and both i and j are odd numbers which are more than or equal to 1; the pressure sensor group of the first row of even rows moves up or down relative to the pressure sensor group of the first row of odd rows according to a first preset proportion, the pressure sensor groups of the other even rows move up or down in the same direction relative to the pressure sensor group of the previous even row according to a second preset proportion, the first preset proportion is related to the side length of the pressure sensors and the distance between the pressure sensors, and the second preset proportion is inversely proportional to the total number of the even rows. The direction of blood flow is perpendicular to the columns.
Acquiring pulse condition detection data acquired by the pulse condition acquisition device at each moment, wherein the pulse condition detection data contain an incidence relation related to corresponding array arrangement characteristics, and processing the pulse condition detection data according to the incidence relation.
S220, inputting the pulse condition detection data into a pre-trained neural network model to obtain simulated pressure data of any point on a connecting line of any two adjacent pressure sensors or in an area comprising a plurality of sensors, wherein the simulated pressure data is output by the neural network; and verifying the simulated pressure data according to the pulse condition detection data of the adjacent sensors or the sensors in the area to obtain credible simulated pressure data.
And verifying the simulated pressure data according to the pulse condition detection data of the adjacent sensors or the sensors in the area, wherein the change of the pulse condition pressure value in a certain area meets a certain relation, for example, the simulated pressure value of a point on a connecting line of the two pressure sensors should fall in an interval formed by the pulse condition detection data of the two pressure sensors. And reserving the simulated pressure values meeting the similar relation, so as to obtain the simulated pressure values with higher credibility after screening.
In one embodiment, the neural network model is generated by steps comprising: acquiring a training sample set, wherein the training sample set comprises two types of training sample sets, the first type of training sample set comprises a plurality of types of training samples, and each type of training sample comprises detection pressure values of two pressure sensors and pressure values of a plurality of points on a connecting line of the two pressure sensors; the second type training sample group comprises a plurality of second type training samples, and each second type training sample comprises detection pressure values of a plurality of pressure sensors in a preset area and pressure values of a plurality of points between the pressure sensors in the preset area: and training a neural network model through the training sample set to obtain the neural network model, wherein the neural network model is used for obtaining the pressure value of any point on the connecting line of the two pressure sensors according to the input detection pressure values of the two pressure sensors and obtaining the pressure value of any point in the areas of the pressure sensors according to the input detection pressure values of the pressure sensors.
Due to the limitation of the shape, size and processing technology of the sensor, gaps which cannot directly acquire pressure values at corresponding positions inevitably exist in arrangement, for the gaps, a neural network algorithm is adopted to make up for the gaps in spatial distribution, but the reliability of the pressure values at certain points obtained through calculation still needs to be determined, and then the calculated simulated pressure data is verified according to the incidence relation between the determined pulse condition detection data obtained by the sensor. In addition, the density of spatial distribution and the reasonableness of arrangement can increase the reliability of the algorithm.
And S230, processing the pulse condition detection data and the credible simulated pressure data according to blocks to obtain a pressure change trend at a measuring position, wherein the pressure change trend is used for representing pulse condition characteristics.
In one embodiment, the step of processing the pulse condition detection data and the simulated pressure data by blocks to obtain a pressure variation trend at the measurement position includes: according to the arrangement sequence of the multi-column pressure sensor group, comparing the pulse condition detection data and the simulated pressure data acquired in the area where the previous odd-column sensor is located with the pulse condition detection data or the simulated pressure data acquired by the corresponding pressure sensor in the adjacent even-column behind the previous odd-column sensor; comparing the pulse condition detection data and the simulated pressure data acquired in the area where the previous group of odd columns are located with the pulse condition detection data or the simulated pressure data acquired by the corresponding pressure sensors in the adjacent odd columns behind the previous group of odd columns to obtain the pressure change trend at the measuring position, wherein the pressure change trend is used for representing the pulse condition characteristics.
The arrangement mode of the sensor array determines the rationality of processing data according to blocks, and the pressure change trend representing the pulse condition characteristics is obtained through comparison between the data of the sensors in the adjacent odd columns and between the odd columns and the adjacent even columns, so that the pressure change trend is used as auxiliary information for judging the pulse condition of the person to be detected by medical staff.
In one embodiment, after the step of processing the pulse condition detection data and the simulated pressure data by blocks to obtain the pressure variation trend at the measurement position, the method further includes: and drawing a visual dynamic three-dimensional pulse wave diagram or image according to the acquired pulse condition detection data and the predicted simulated pressure data through a preset data processing algorithm by means of sequential scanning or instant scanning in a preset form, and calibrating corresponding values and proportions, wherein the dynamic three-dimensional pulse wave diagram or image is used for representing pulse condition characteristics.
According to the obtained pulse condition detection data and the simulated pressure data, the data can be visually presented through a corresponding algorithm, a dynamic three-dimensional pulse wave diagram or image is drawn, and corresponding numerical values and proportions are calibrated, wherein the dynamic three-dimensional pulse wave diagram or image enables information representing the pulse condition to be referred to by medical staff in a visual, clear and readable mode.
In this embodiment, the pulse condition acquisition data processing method learns the correlation by using a neural network algorithm through the correlation between the sensor array data, and processes the pulse condition detection data, so that not only is the data volume representing the pulse condition expanded, but also the simulated pressure data is verified by using the correlation, the reliability of the simulated pressure data is improved, the spatial resolution is further increased, and the limitation of the size of the sensor on the spatial resolution is broken through.
Fig. 3 is a schematic structural diagram of a pulse feeling device according to an embodiment of the present disclosure. The pulse feeling device comprises a sensing data acquisition module 310, a simulation data generation module 320 and a pulse condition information generation module 330, wherein each module respectively realizes the following functions.
A sensing data obtaining module 310 configured to obtain pulse detection data collected by a pulse collecting apparatus at each time, wherein the pulse collecting apparatus includes:
the pressure sensor group comprises a plurality of pressure sensors which are arranged at intervals in a gradual change and staggered manner, wherein each pressure sensor group comprises a plurality of pressure sensors which are arranged at preset intervals, and the preset intervals are not less than the minimum value of the sensor distance required by the normal work of two adjacent sensors; the number of the pressure sensors of the odd-numbered rows of the pressure sensor groups is the same, the number of the pressure sensors of the even-numbered rows of the pressure sensor groups is the same, and the number of the pressure sensors of the odd-numbered rows of the pressure sensor groups is one or less than that of the pressure sensors of the even-numbered rows of the pressure sensor groups; each pressure sensor of the ith row of pressure sensor group and each pressure sensor of the jth row of pressure sensor group are correspondingly arranged in parallel, wherein i is not equal to j, and both i and j are odd numbers which are more than or equal to 1; the pressure sensor group of the first row of even rows moves up or down relative to the pressure sensor group of the first row of odd rows according to a first preset proportion, the pressure sensor groups of the other even rows move up or down in the same direction relative to the pressure sensor group of the previous even row according to a second preset proportion, the first preset proportion is related to the side length of the pressure sensors and the distance between the pressure sensors, and the second preset proportion is inversely proportional to the total number of the even rows. The direction of blood flow is perpendicular to the columns.
The simulated data generation module 320 is configured to input the pulse condition detection data into a pre-trained neural network model, so as to obtain simulated pressure data output by the neural network and including any point on a connecting line between any two adjacent pressure sensors or in an area including a plurality of sensors; and verifying the simulated pressure data according to the pulse condition detection data of the adjacent sensors or the sensors in the area to obtain credible simulated pressure data.
The pulse condition information generating module 330 is configured to process the pulse condition detection data and the credible simulated pressure data according to blocks to obtain a pressure variation trend at the measurement position, wherein the pressure variation trend is used for characterizing pulse condition features.
The implementation process of the functions and actions of each unit in the above device is specifically described in the implementation process of the corresponding step in the above method, and is not described herein again.
In summary, the embodiments of the present specification provide a pulse condition collecting and pulse diagnosing apparatus and method capable of exceeding the spatial resolution of human touch, wherein the pulse condition collecting apparatus obtains pulse condition detection data through a plurality of rows of pressure sensor groups arranged in a gradual and staggered manner, the arrangement density of the plurality of rows of pressure sensor groups reaches or exceeds the spatial resolution of human touch, and the pulse condition detection data obtained according to the sensor array arranged in a gradual and staggered manner has a spatial distribution relationship. The pulse condition acquisition data processing method processes the pulse condition detection data according to the relation between the pulse condition detection data and the pre-trained neural network, thereby obtaining credible simulated pressure data. And further processing the pulse condition detection data and the simulated pressure data according to blocks to obtain the pressure change trend representing the pulse condition. The pulse diagnosis device based on the pulse condition acquisition device and the pulse condition acquisition data processing method realizes automatic acquisition of pulse condition detection data at the setting position of the pulse condition acquisition device and generation of corresponding pressure change trend, can conveniently monitor the change of the pulse condition in real time, comprehensively and objectively reflects pulse condition information, and makes progressive improvement on the pulse diagnosis device.
It should be noted that the terms "including" and "having" and any variations thereof in the embodiments of the present specification and the drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Those of ordinary skill in the art will understand that: the figures are merely schematic representations of one embodiment, and the blocks or flow diagrams in the figures are not necessarily required to practice the present invention.
Those of ordinary skill in the art will understand that: modules in the devices in the embodiments may be distributed in the devices in the embodiments according to the description of the embodiments, or may be located in one or more devices different from the embodiments with corresponding changes. The modules of the above embodiments may be combined into one module, or further split into multiple sub-modules.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A pulse condition acquisition device is characterized by comprising: the pressure sensor group comprises a plurality of pressure sensors which are arranged at intervals in a gradual change and staggered manner, wherein each pressure sensor group comprises a plurality of pressure sensors which are arranged at preset intervals, and the preset intervals are not less than the minimum value of the sensor distance required by the normal work of two adjacent sensors; the number of the pressure sensors of the odd-numbered rows of the pressure sensor groups is the same, the number of the pressure sensors of the even-numbered rows of the pressure sensor groups is the same, and the number of the pressure sensors of the odd-numbered rows of the pressure sensor groups is one or less than that of the pressure sensors of the even-numbered rows of the pressure sensor groups; each pressure sensor of the ith row of pressure sensor group and each pressure sensor of the jth row of pressure sensor group are correspondingly arranged in parallel, wherein i is not equal to j, and both i and j are odd numbers which are more than or equal to 1; the pressure sensor group of the first row of even rows moves up or down relative to the pressure sensor group of the first row of odd rows according to a first preset proportion, the pressure sensor groups of the other even rows move up or down in the same direction relative to the pressure sensor group of the previous even row according to a second preset proportion, the first preset proportion is related to the side length of the pressure sensors and the distance between the pressure sensors, and the second preset proportion is inversely proportional to the total number of the even rows.
2. The apparatus of claim 1, comprising:
the pressure sensor group of the first even column moves up or down relative to the pressure sensor group of the first odd column
Wherein a is the side length of the square pressure sensor chip parallel to the row, and △ t is the distance between two adjacent sensors above and below the pressure sensor group;
the remaining even-numbered rows of pressure sensor groups are sequentially shifted up or down in a uniform direction with respect to the previous even-numbered row of pressure sensor groups
Wherein a is the side length of the square pressure sensor chip parallel to the rows, △ t is the distance between two adjacent sensors above and below the pressure sensor group, and N is the total number of even rows.
3. The apparatus of claim 1, comprising:
the distance between the sensors in each row of the pressure sensor group is not more than 0.4 mm and not less than the minimum value of the distance between the sensors required by the normal work of two adjacent sensors; the distance between two adjacent rows of pressure sensor groups is not more than 0.65 millimeter and not less than the minimum value of the sensor distance required by the normal work of two adjacent sensors; the minimum value of the sensor spacing is related to the characteristics of the sensor and the processing technology.
4. The apparatus of claim 1, comprising:
the total height of each row of pressure sensors for effectively acquiring the information group is 2.5-8 mm; the sum of the total spans of the information groups effectively collected by all the rows of pressure sensors is not more than 12 mm;
the arrangement density of the multiple rows of pressure sensor groups arranged in a gradual change and staggered manner at intervals is that each square centimeter at least comprises 110 pressure sensors.
5. The apparatus of claim 1, comprising:
in all the column pressure sensor groups, the pressure sensors at the middle positions of the head-tail column and the middle column are used as positioning points.
6. A pulse condition acquisition data processing method is characterized by comprising the following steps:
acquiring pulse condition detection data acquired by a pulse condition acquisition device at each moment, wherein the pulse condition acquisition device is arranged at the radial artery of a detected object, and
the pulse condition acquisition device comprises a plurality of rows of pressure sensor groups which are arranged in a staggered mode in a gradual change mode, each row of pressure sensor group comprises a plurality of pressure sensors which are arranged at preset intervals, and the preset intervals are not smaller than the minimum value of the sensor distance required by the normal work of two adjacent sensors; the number of the pressure sensors of the odd-numbered rows of the pressure sensor groups is the same, the number of the pressure sensors of the even-numbered rows of the pressure sensor groups is the same, and the number of the pressure sensors of the odd-numbered rows of the pressure sensor groups is one or less than that of the pressure sensors of the even-numbered rows of the pressure sensor groups; each pressure sensor of the ith row of pressure sensor group and each pressure sensor of the jth row of pressure sensor group are correspondingly arranged in parallel, wherein i is not equal to j, and both i and j are odd numbers which are more than or equal to 1; the pressure sensor group of the first row of even rows moves up or down relative to the pressure sensor group of the first row of odd rows according to a first preset proportion, the pressure sensor groups of the other even rows move up or down in the same direction relative to the pressure sensor group of the previous even row according to a second preset proportion, the first preset proportion is related to the side length of the pressure sensors and the distance between the sensors, and the second preset proportion is in inverse proportion to the total number of the even rows;
inputting the pulse condition detection data into a pre-trained neural network model to obtain simulated pressure data of any point on a connecting line of any two adjacent pressure sensors or in an area comprising a plurality of sensors, wherein the simulated pressure data is output by the neural network; verifying the simulated pressure data according to pulse condition detection data of adjacent sensors or sensors in the area to obtain credible simulated pressure data;
and processing the pulse condition detection data and the credible simulated pressure data according to blocks to obtain a pressure change trend at the measuring position, wherein the pressure change trend is used for representing pulse condition characteristics.
7. The method of claim 6, wherein the step of processing the pulse detection data and the simulated pressure data in blocks to obtain the pressure variation trend at the measurement location further comprises:
and drawing a visual dynamic three-dimensional pulse wave diagram or image according to the acquired pulse condition detection data and the predicted simulated pressure data through a preset data processing algorithm by means of sequential scanning or instant scanning in a preset form, and calibrating corresponding values and proportions, wherein the dynamic three-dimensional pulse wave diagram or image is used for representing pulse condition characteristics.
8. The method of claim 6, wherein the neural network model is generated by steps comprising:
acquiring a training sample set, wherein the training sample set comprises two types of training sample sets, the first type of training sample set comprises a plurality of types of training samples, and each type of training sample comprises detection pressure values of two pressure sensors and pressure values of a plurality of points on a connecting line of the two pressure sensors; the second type training sample group comprises a plurality of second type training samples, and each second type training sample comprises detection pressure values of a plurality of pressure sensors in a preset area and pressure values of a plurality of points between the pressure sensors in the preset area:
and training a neural network model through the training sample set to obtain the neural network model, wherein the neural network model is used for obtaining the pressure value of any point on the connecting line of the two pressure sensors according to the input detection pressure values of the two pressure sensors and obtaining the pressure value of any point in the areas of the pressure sensors according to the input detection pressure values of the pressure sensors.
9. The method of claim 6, wherein the step of processing the pulse detection data and the simulated pressure data in blocks to obtain the pressure variation trend at the measurement location comprises:
according to the arrangement sequence of the multi-column pressure sensor group, comparing the pulse condition detection data and the simulated pressure data acquired in the area where the previous odd-column sensor is located with the pulse condition detection data or the simulated pressure data acquired by the corresponding pressure sensor in the adjacent even-column behind the previous odd-column sensor; comparing the pulse condition detection data and the simulated pressure data acquired in the area where the previous group of odd columns are located with the pulse condition detection data or the simulated pressure data acquired by the corresponding pressure sensors in the adjacent odd columns behind the previous group of odd columns to obtain the pressure change trend at the measuring position, wherein the pressure change trend is used for representing the pulse condition characteristics.
10. A pulse feeling device comprising:
the sensing data acquisition module is configured to acquire pulse condition detection data acquired by a pulse condition acquisition device at each moment, wherein the pulse condition acquisition device comprises:
the pressure sensor group comprises a plurality of pressure sensors which are arranged at intervals in a gradual change and staggered manner, wherein each pressure sensor group comprises a plurality of pressure sensors which are arranged at preset intervals, and the preset intervals are not less than the minimum value of the sensor distance required by the normal work of two adjacent sensors; the number of the pressure sensors of the odd-numbered rows of the pressure sensor groups is the same, the number of the pressure sensors of the even-numbered rows of the pressure sensor groups is the same, and the number of the pressure sensors of the odd-numbered rows of the pressure sensor groups is one or less than that of the pressure sensors of the even-numbered rows of the pressure sensor groups; each pressure sensor of the ith row of pressure sensor group and each pressure sensor of the jth row of pressure sensor group are correspondingly arranged in parallel, wherein i is not equal to j, and both i and j are odd numbers which are more than or equal to 1; the pressure sensor group of the first row of even rows moves up or down relative to the pressure sensor group of the first row of odd rows according to a first preset proportion, the pressure sensor groups of the other even rows move up or down in the same direction relative to the pressure sensor group of the previous even row according to a second preset proportion, the first preset proportion is related to the side length of the pressure sensors and the distance between the sensors, and the second preset proportion is in inverse proportion to the total number of the even rows;
the simulation data generation module is configured to input the pulse condition detection data into a pre-trained neural network model to obtain simulation pressure data of any point, which is output by the neural network, on a connecting line between any two adjacent pressure sensors or in an area comprising a plurality of sensors; verifying the simulated pressure data according to pulse condition detection data of adjacent sensors or sensors in the area to obtain credible simulated pressure data;
and the pulse condition information generation module is configured to process the pulse condition detection data and the credible simulated pressure data according to blocks to obtain a pressure change trend at the measuring position, and the pressure change trend is used for representing pulse condition characteristics.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911389710.7A CN111000538A (en) | 2019-12-30 | 2019-12-30 | Pulse condition acquisition and pulse diagnosis device and method capable of exceeding human touch spatial resolution |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911389710.7A CN111000538A (en) | 2019-12-30 | 2019-12-30 | Pulse condition acquisition and pulse diagnosis device and method capable of exceeding human touch spatial resolution |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111000538A true CN111000538A (en) | 2020-04-14 |
Family
ID=70119588
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911389710.7A Pending CN111000538A (en) | 2019-12-30 | 2019-12-30 | Pulse condition acquisition and pulse diagnosis device and method capable of exceeding human touch spatial resolution |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111000538A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101199370A (en) * | 2007-12-13 | 2008-06-18 | 重庆大学 | Data processing method for robot tactile sensing information syncretizing |
| CN104706349A (en) * | 2015-04-13 | 2015-06-17 | 大连理工大学 | Electrocardiosignal construction method based on pulse wave signals |
| CN105534526A (en) * | 2015-12-16 | 2016-05-04 | 哈尔滨工业大学深圳研究生院 | Method for measuring plantar pressure |
| CN110327023A (en) * | 2019-07-11 | 2019-10-15 | 广东工业大学 | A kind of array of pressure sensors and diagnosis by feeling the pulse device |
-
2019
- 2019-12-30 CN CN201911389710.7A patent/CN111000538A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101199370A (en) * | 2007-12-13 | 2008-06-18 | 重庆大学 | Data processing method for robot tactile sensing information syncretizing |
| CN104706349A (en) * | 2015-04-13 | 2015-06-17 | 大连理工大学 | Electrocardiosignal construction method based on pulse wave signals |
| CN105534526A (en) * | 2015-12-16 | 2016-05-04 | 哈尔滨工业大学深圳研究生院 | Method for measuring plantar pressure |
| CN110327023A (en) * | 2019-07-11 | 2019-10-15 | 广东工业大学 | A kind of array of pressure sensors and diagnosis by feeling the pulse device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN100518631C (en) | Three-dimensional dynamic pulse manifestation testing system | |
| Ng et al. | Computerized detection of breast cancer with artificial intelligence and thermograms | |
| CN113712569B (en) | High-frequency QRS wave group data analysis method and device | |
| Xue et al. | Full-field wrist pulse signal acquisition and analysis by 3D Digital Image Correlation | |
| US11501441B2 (en) | Biomarker determination using optical flows | |
| CN102258367A (en) | Double-sensing pulse diagnosis instrument | |
| EP1639497B1 (en) | Method and apparatus for extracting causal information from a chaotic time series | |
| CN110327023B (en) | Pressure sensor array and pulse diagnosis device | |
| CN114224296B (en) | Parkinson's motion symptom quantitative evaluation system based on wearable sensing device | |
| CN111739647B (en) | Magnetic resonance image-based bipolar disorder suicide risk prediction method and related device | |
| CN115376694B (en) | Multi-mode self-adaptive assessment system and method for limb dysfunction | |
| CN1310981A (en) | Pulse pressure latent image detecting method and its device for traditional Chinese medical pulse diagnosis | |
| JP2019106202A (en) | Health state evaluation support system and capillary vessel data acquisition method | |
| CN112190247A (en) | Heart rate detection method, heart rate detection device and mobile terminal | |
| CN106510654A (en) | Positioning method and system of pulse condition analyzer | |
| JPWO2019082892A1 (en) | Ultrasonic diagnostic system and ultrasonic diagnostic method | |
| KR100745972B1 (en) | Autonomic function analyzer | |
| KR20190142618A (en) | Method for monitoring cardiac impulse of fetus and apparatus therefor | |
| CN112057043A (en) | Traditional Chinese medicine pulse data processing method, equipment and storage medium | |
| CN114569112A (en) | Scoliosis assessment method applying surface electromyography thin-film electrode | |
| Al Harrach et al. | Investigation of the HD-sEMG probability density function shapes with varying muscle force using data fusion and shape descriptors | |
| EP3439551B1 (en) | Segmented electrode | |
| CN111000538A (en) | Pulse condition acquisition and pulse diagnosis device and method capable of exceeding human touch spatial resolution | |
| CN111000539A (en) | Pulse condition acquisition and pulse diagnosis device and pulse condition acquisition data processing method | |
| CN211834367U (en) | Pulse condition acquisition device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200414 |