CN110916656A - Multichannel pelvic floor muscle strength evaluation system and method - Google Patents
Multichannel pelvic floor muscle strength evaluation system and method Download PDFInfo
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
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- A—HUMAN NECESSITIES
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Abstract
The invention discloses a multi-channel pelvic floor muscle strength evaluation system and a method, belonging to the technical field of medical equipment, comprising a multi-channel electrode, a basic data acquisition unit and a processor, the multi-channel electrode is connected with a basic data collector, the basic data collector is connected with a processor, the multi-channel electrode consists of a first collecting electrode, a second collecting electrode and a third collecting electrode, a plurality of electrode plates are arranged on the first collecting electrode, the second collecting electrode and the third collecting electrode, by carrying out matrix relation mapping on the surface electromyographic signals of the pelvic floor muscles acquired by the multi-channel pelvic floor electrodes, therefore, accurate positioning analysis of the multi-channel electrode on the pelvic floor muscles is realized at the maximum efficiency, and the defects that the pelvic floor muscle electrical signal detection channels are low and accurate positioning of diseased muscle groups cannot be realized under the prior art can be effectively overcome.
Description
Technical Field
The invention relates to the technical field of medical equipment, in particular to a multichannel pelvic floor muscle strength evaluation system and method.
Background
In recent years, as the population of China gradually enters an aging society, the incidence of female pelvic floor diseases is increased, the life quality and physical and psychological health of middle-aged and old women are seriously affected, and the female pelvic floor diseases become one of five common diseases which endanger the health of women. The diagnosis of pelvic floor dysfunction is receiving more and more attention and attention from middle-aged and elderly women.
A pelvic floor dysfunction diagnosis method is commonly used for pelvic floor surface potential detection in the field of medical engineering, mainly uses single-channel pelvic floor surface potential detection in the current market, has low channel number, cannot realize accurate positioning of pathological muscle groups, and has more urgent requirements on multi-channel pelvic floor electrical signal evaluation by various medical rehabilitation institutions and household terminals along with popularization and popularization of pelvic floor prevention in the national range.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above and/or other problems with the prior multi-channel pelvic floor muscle force assessment systems and methods.
Therefore, the invention aims to provide a multichannel pelvic floor muscle strength evaluation system and method, which can map the matrix relation of adjacent myoelectric signals of the surface myoelectric signals of pelvic floor muscles acquired by a multichannel pelvic floor electrode, thereby realizing accurate positioning analysis of the pelvic floor muscles by the multichannel electrode with the maximum efficiency, and effectively solving the defects that the pelvic floor electrical signal detection channels are low and the pathological muscle groups cannot be accurately positioned under the prior art.
To solve the above technical problem, according to an aspect of the present invention, the present invention provides the following technical solutions:
the utility model provides a multichannel pelvic floor muscle strength evaluation system, includes multichannel electrode, basic data collection station and treater, the multichannel electrode is connected with basic data collection station, basic data collection station is connected with the treater, the multichannel electrode comprises first collection electrode, second collection electrode and third collection electrode, all install a plurality of electrode slices on first collection electrode, second collection electrode and the third collection electrode.
As a preferable aspect of the multichannel pelvic floor muscle strength assessment system according to the present invention, wherein: the basic data collector is a control box with an analog signal sampling unit and a data transmission unit, and the basic data collector is connected with the multi-channel electrode through a wired cable.
As a preferable aspect of the multichannel pelvic floor muscle strength assessment system according to the present invention, wherein: the processor is a computer with a data operation and processing unit, and the processor is connected with the basic data acquisition unit in a wireless or wired mode.
As a preferable aspect of the multichannel pelvic floor muscle strength assessment method according to the present invention, wherein: the working steps of the evaluation method are as follows:
s100: a basic data acquisition unit acquires pelvic floor muscle surface electromyographic signals acquired after a multi-channel electrode is inserted into the vagina or rectum of a patient, and the signals are filtered to serve as basic data;
s200: the processor receives basic data from the basic data collector and obtains a corresponding first-level characteristic value data set through calculation;
s300: the processor obtains a second-level characteristic value data group according to the first-level characteristic value data group;
s400: the processor obtains a pelvic floor muscle force matrix distribution result according to the first-level characteristic value data group and the second-level characteristic value data group.
As a preferable aspect of the multichannel pelvic floor muscle strength assessment system and method according to the present invention, wherein: in the S100, data acquisition is divided into five stages, including a pre-resting stage, a rapid contraction stage, a continuous contraction stage, a endurance contraction stage and a post-resting stage.
As a preferable aspect of the multichannel pelvic floor muscle strength assessment system and method according to the present invention, wherein: the first-level characteristic value data group in the S200 is composed of 24 first-level characteristic value data groups in a previous resting stage, 24 first-level characteristic value data groups in a rapid contraction stage, 24 first-level characteristic value data groups in a continuous contraction stage, 24 first-level characteristic value data groups in a endurance contraction stage and 24 first-level characteristic value data groups in a later resting stage.
As a preferable aspect of the multichannel pelvic floor muscle strength assessment system and method according to the present invention, wherein: the second-level characteristic value data set in S300 is composed of 40 first-level characteristic value data sets in the previous resting stage, 40 second-level characteristic value data sets in the rapid contraction stage, 40 second-level characteristic value data sets in the continuous contraction stage, 40 second-level characteristic value data sets in the endurance contraction stage, and 40 second-level characteristic value data sets in the subsequent resting stage.
Compared with the prior art: the invention aims to disclose a multichannel pelvic floor muscle strength evaluation system and method, which can realize accurate positioning analysis of the pelvic floor muscle by a multichannel electrode with the maximum efficiency by performing matrix relation mapping on the surface electromyographic signals of the pelvic floor muscle acquired by a multichannel pelvic floor electrode, and can effectively overcome the defects that the pelvic floor muscle electrical signal detection channel number is low and the pathological muscle group cannot be accurately positioned under the prior art.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the present invention will be described in detail with reference to the accompanying drawings and detailed embodiments, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise. Wherein:
FIG. 1 is a schematic structural diagram of a multi-channel pelvic floor muscle strength assessment system and method of the present invention;
FIG. 2 is a schematic diagram of an electrode structure of a multi-channel pelvic floor muscle strength assessment system and method of the present invention;
FIG. 3 is a schematic diagram of a system flow structure of a multi-channel pelvic floor muscle strength assessment system and method according to the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described herein, and it will be apparent to those of ordinary skill in the art that the present invention may be practiced without departing from the spirit and scope of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Next, the present invention will be described in detail with reference to the drawings, wherein for convenience of illustration, the cross-sectional view of the device structure is not enlarged partially according to the general scale, and the drawings are only examples, which should not limit the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
The invention provides a multichannel pelvic floor muscle strength evaluation system, please refer to fig. 1-2, which comprises a multichannel electrode, a basic data collector and a processor, wherein the multichannel electrode is connected with the basic data collector, the basic data collector is connected with the processor, the multichannel electrode is composed of a first collecting electrode, a second collecting electrode and a third collecting electrode, and the first collecting electrode, the second collecting electrode and the third collecting electrode are all provided with 8 electrode plates.
Referring to fig. 1 again, the basic data collector is a control box with an analog signal sampling unit and a data transmission unit, and the basic data collector is connected with the multi-channel electrode through a wired cable.
Referring to fig. 1 again, the processor is a computer with a data operation and processing unit, and the processor is connected with the basic data collector through a wireless or wired connection.
Referring to fig. 1-3, the evaluation method works as follows:
s100: the method comprises the following steps that a basic data acquisition unit acquires pelvic floor muscle surface electromyographic signals acquired after a multi-channel electrode is inserted into a vagina or rectum of a patient, and the signals are filtered to serve as basic data, specifically, as the main energy of the electromyographic signals is concentrated between 25Hz and 400Hz, according to the Nyquist sampling theorem: in the process of converting analog/digital signals, when the sampling frequency fs is greater than 2 times of the highest frequency fmax in the signals (fs >2fmax), the information in the original signals is completely retained by the digital signals after sampling, and the sampling frequency is guaranteed to be 2.56-4 times of the highest frequency of the signals in general practical application. Preferably, the data acquisition frequency of the basic data acquisition unit is C, C is more than or equal to 1000samples/s and less than or equal to 2000samples/s, when the number of data in a single-frame data packet is more, the more data points are used for drawing a waveform diagram, the more accurate the waveform diagram drawing is, the more the drawn waveform diagram tends to the graph of a real electric wave, more accurate data is provided for a processor, and when C is less than 1000samples/s, the less the number of data points is caused by the drawn waveform diagram, and the drawing precision of the waveform diagram is influenced; when C is more than 2000samples/s, the drawing precision is improved to a limited extent, but the requirement on hardware is higher, more high-frequency interference is introduced, and the performance is lower. Preferably, C is 2000 samples/s.
Specifically, as the main energy of the electromyographic signals is concentrated between 25Hz and 400Hz, the electromyographic signals are often submerged by a large amount of noise, interference is easily received, and the skin surface impedance is large, the collected electromyographic signals need to be subjected to corresponding filtering treatment. Therefore, according to the electromyographic signals obtained after collection, a 50Hz trap is used for removing 50Hz power frequency interference in the electromyographic signals, a 25 Hz-400 Hz band-pass filter is used for removing low-frequency noise generated by artifact caused by movement between skin and electrodes in the measuring process and interference of high-frequency noise on the signals, and the electromyographic signals of which the frequency range is 25 Hz-400 Hz after the electromyographic signals are denoised are extracted after the filtering processing. Preferably, the collected data packets may be filtered and denoised by a hardware filter circuit or a software filter method of the basic data collector.
Specifically, as shown in fig. 2, electrode points on multiple channels are numbered, and the 1 st group of 8 collecting electrode slices are used for collecting myoelectric data on an external loop close to the electrodes after the multiple-channel electrodes are inserted into the vagina or rectum of a patient and are respectively numbered as Outer 1-Outer 8; the 2 nd group of 8 collecting electrode plates are used for collecting myoelectric data on a loop circuit close to the middle part of the electrode after the multi-channel electrode is inserted into the vagina or rectum of a patient, and are respectively numbered as Mid 1-Mid 8; the 3 rd group of 8 collecting electrode plates are used for collecting myoelectric data on an internal loop of the multi-channel electrode close to the electrode after the multi-channel electrode is inserted into the vagina or rectum of a patient, and are respectively numbered Inner 1-Inner 8;
s200: the processor receives basic data from the basic data collector, and obtains a corresponding first-level characteristic value data set through calculation, and specifically, the processor receives the basic data from the basic data collector through a wireless WIFI communication mode after filtering processing.
After the processor obtains the basic data, in each stage of the Glazer pelvic floor muscle assessment method, selecting a signal with a time length of T (N data points, N ═ T ═ C), preferably, taking T ═ 1s, then N ═ 1s ═ 2000samples/s ═ 2000, and calculating according to the following formula to obtain a corresponding stage primary characteristic value data set:
pre-resting stage, continuous contraction stage, endurance contraction stage and post-resting stage: mean value of myoelectric amplitude
Wherein Data [ i]Basic data of the ith point in the length time T is represented;
and (3) a rapid shrinkage stage: the maximum value of the myoelectricity amplitude MEMG is Max | Data [ i ] |, which represents the maximum value of the basic Data Data [ i ] in each period of time T;
s300: the processor obtains a second-level characteristic value data group according to the first-level characteristic value data group, and specifically, after the first-level characteristic value data group is obtained, the processor calculates the second-level characteristic value data group by an averaging method according to the first-level characteristic value data group on the adjacent electrode position of the multi-channel electrode. Preferably, the pelvic floor muscle strength evaluation method provided by the invention is provided with a plurality of secondary characteristic value data sets, and the definitions of the secondary characteristic value data sets are similar;
s400: the processor obtains a pelvic floor muscle strength matrix distribution result according to the primary characteristic value data set and the secondary characteristic value data set, specifically, after the above steps are carried out, the processor respectively obtains 24 primary characteristic value data sets and 40 secondary characteristic value data sets in each stage of the Glazer pelvic floor muscle assessment method through the pelvic floor multi-channel electrodes (3 sets with 24 electrode point positions in total),
1) pre-and post-resting phases: thresholds AEMG1_ T1 and AEMG1_ T2 are set, and AEMG1_ T1< AEMG1_ T2 indicate that insufficient muscle strength exists when the 24 primary characteristic value data sets and the 40 secondary characteristic value data sets in this phase are smaller than AEMG1_ T1, and indicate that an overactive muscle condition exists when the thresholds are larger than AEMG1_ T2.
2) And (3) a rapid shrinkage stage: a threshold MEMG2_ T is set, and when 24 primary characteristic value data sets and 40 secondary characteristic value data sets in this stage are smaller than the MEMG2_ T, it indicates that the muscle strength of the fast muscle is insufficient.
3) And (3) a continuous shrinkage stage: a threshold value AEMG3_ T and a threshold value AEMG3_ T are set, and when 24 primary characteristic value data sets and 40 secondary characteristic value data sets in this phase are smaller than AEMG3_ T, it indicates that the slow muscle strength is insufficient.
4) And (3) a endurance shrinkage stage: a threshold value AEMG4_ T is set, and when 24 primary characteristic value data sets and 40 secondary characteristic value data sets in this stage are smaller than AEMG4_ T, it indicates that the slow muscle endurance is poor.
Therefore, the detailed matrix distribution condition of the pelvic floor muscle force in each stage of the Glazer pelvic floor muscle assessment method is obtained, the pathological muscle group is accurately positioned, external electrical stimulation treatment at a more accurate electrode position is conveniently applied to the pelvic floor muscles of the patient, and the pelvic floor health is improved.
Referring to fig. 3 again, the data acquisition in S100 is divided into five stages, including a pre-resting stage, a rapid contraction stage, a continuous contraction stage, a endurance contraction stage, and a post-resting stage, and specifically, the following stages of basic data acquisition are performed according to the Glazer pelvic floor muscle assessment method:
1) pre-resting stage: after the electrode is inserted, the electrode is maintained for 1min in a relaxed state, and an electromyographic signal value data set is tested and recorded as follows: EMG1Outer 1-EMG 1Outer8, EMG1Mid 1-EMG 1Mid8 and EMG1Inner 1-EMG 1Inner8 mainly reflect the muscle tension in the resting state. The EMG1Outer 1-EMG 1Outer8 represent electromyographic value data sets of the 1 st group of 8 acquisition electrodes relative to the common grounding reference electrode in the pre-multichannel electrode resting stage, the EMG1Mid 1-EMG 1Mid8 represent electromyographic value data sets of the 2 nd group of 8 acquisition electrodes relative to the common grounding reference electrode in the pre-multichannel electrode resting stage, and the EMG1Inner 1-EMG 1Inner8 represent electromyographic value data sets of the 3 rd group of 8 acquisition electrodes relative to the common grounding reference electrode in the pre-multichannel electrode resting stage;
2) and (3) a rapid shrinkage stage: fast contractions of 2s at 5 times were performed, with intervals of 10s between each fast contraction, and the myoelectric signal value data sets for each contraction were tested and recorded as: the functional states of the fast muscle fibers are evaluated according to the following steps of EMG2Outer 1-EMG 2Outer8, EMG2Mid 1-EMG 2Mid8, EMG2Inner 1-EMG 2Inner 8. The EMG2Outer 1-EMG 2Outer8 represent electromyographic value data sets of the 1 st group of 8 collecting electrodes relative to the common ground reference electrode in the multi-channel electrode rapid contraction stage, the EMG2Mid 1-EMG 2Mid8 represent electromyographic value data sets of the 2 nd group of 8 collecting electrodes relative to the common ground reference electrode in the multi-channel electrode rapid contraction stage, and the EMG2Inner 1-EMG 2Inner8 represent electromyographic value data sets of the 3 rd group of 8 collecting electrodes relative to the common ground reference electrode in the multi-channel electrode rapid contraction stage;
3) and (3) a continuous shrinkage stage: continuous contractions were performed 5 times for 10s with an interval of 10s between each rapid contraction, and the electromyographic signal value data sets for each contraction were tested and recorded as: the main observation is the average value and the stability of contraction of fast and slow muscle combination, namely EMG3Outer 1-EMG 3Outer8, EMG3Mid 1-EMG 3Mid8 and EMG3Inner 1-EMG 3Inner 8. The EMG3Outer 1-EMG 3Outer8 represent electromyographic value data sets of the 1 st group of 8 collecting electrodes relative to the common ground reference electrode in the multi-channel electrode continuous contraction stage, the EMG3Mid 1-EMG 3Mid8 represent electromyographic value data sets of the 2 nd group of 8 collecting electrodes relative to the common ground reference electrode in the multi-channel electrode continuous contraction stage, and the EMG3Inner 1-EMG 3Inner8 represent electromyographic value data sets of the 3 rd group of 8 collecting electrodes relative to the common ground reference electrode in the multi-channel electrode continuous contraction stage;
4) and (3) a endurance shrinkage stage: performing 1-time continuous contraction for 1min, and evaluating myoelectric signal value data sets of 1min contraction, which are respectively recorded as: EMG4Outer 1-EMG 4Outer8, EMG4Mid 1-EMG 4Mid8 and EMG4Inner 1-EMG 4Inner8, and fatigue resistance and stability of the slow muscle fibers after continuously contracting for a long time are evaluated. The EMG4Outer 1-EMG 4Outer8 represent electromyographic value data sets of the 1 st group of 8 acquisition electrodes relative to the common ground reference electrode in the multi-channel electrode endurance contraction stage, the EMG4Mid 1-EMG 4Mid8 represent electromyographic value data sets of the 2 nd group of 8 acquisition electrodes relative to the common ground reference electrode in the multi-channel electrode endurance contraction stage, and the EMG4Inner 1-EMG 4Inner8 represent electromyographic value data sets of the 3 rd group of 8 acquisition electrodes relative to the common ground reference electrode in the multi-channel electrode endurance contraction stage;
5) post-resting stage: and (3) maintaining for 1min under the action rear type state, testing the electromyographic signal value data set, and respectively recording as follows: EMG5Outer 1-EMG 5Outer8, EMG5Mid 1-EMG 5Mid8 and EMG5Inner 1-EMG 5Inner8, examining the muscle tension of the pelvic floor muscles in a relaxed state after a series of actions, and observing the relaxation capacity of the pelvic floor muscles after movement. The EMG5Outer 1-EMG 5Outer8 represent electromyographic value data sets of the 1 st group of 8 collecting electrodes relative to the common grounding reference electrode in the post-multi-channel electrode resting stage, the EMG5Mid 1-EMG 5Mid8 represent electromyographic value data sets of the 2 nd group of 8 collecting electrodes relative to the common grounding reference electrode in the post-multi-channel electrode resting stage, and the EMG5Inner 1-EMG 5Inner8 represent electromyographic value data sets of the 3 rd group of 8 collecting electrodes relative to the common grounding reference electrode in the post-multi-channel electrode resting stage.
Referring to fig. 3 again, the first-level characteristic value data set in S200 is composed of 24 first-level characteristic value data sets in the previous resting stage, 24 first-level characteristic value data sets in the rapid contraction stage, 24 first-level characteristic value data sets in the continuous contraction stage, 24 first-level characteristic value data sets in the endurance contraction stage, and 24 first-level characteristic value data sets in the subsequent resting stage, specifically, the maximum value MEMG of the myoelectric amplitude is the maximum value in each period of time T, and is respectively recorded as: 1) 24 first-level characteristic value data sets in the pre-resting stage: AEMG1Outer1[ i ] -AEMG 1Outer8[ i ], AEMG1Mid1[ i ] -AEMG 1Mid8[ i ], and AEMG1Inner1[ i ] -AEMG 1Inner8[ i ], wherein i is the first-order characteristic value data group length of the myoelectricity amplitude average value of the previous resting stage, and i is 60/1 or 60. AEMG1Outer1[ i ] to AEMG1Outer8[ i ] represent a 1 st group of 8 collecting electrode myoelectricity amplitude average value data sets in the pre-resting stage of the multi-channel electrode, AEMG1Mid1[ i ] to AEMG1Mid8[ i ] represent a 2 nd group of 8 collecting electrode myoelectricity amplitude average value data sets in the pre-resting stage of the multi-channel electrode, and AEMG1Inner1[ i ] to AEMG1Inner8[ i ] represent a 3 rd group of 8 collecting electrode myoelectricity amplitude average value data sets in the pre-resting stage of the multi-channel electrode;
2) fast shrink phase 24 first-order feature value data sets: the device comprises MEMG2Outer1[ j ] -MEMG 2Outer8[ j ], MEMG2Mid1[ j ] -MEMG 2Mid8[ j ], and MEMG2Inner1[ j ] -MEMG 2Inner8[ j ], wherein j is the first-order characteristic value data group length of the myoelectricity amplitude average value in the rapid contraction stage, and j is 2/1 which is 2. MEMG2Outer1[ j ] to MEMG2Outer8[ j ] represent the 1 st group of 8 data groups of the electromyographic amplitude maximum value of the collection electrode in the rapid contraction stage of the multi-channel electrode, MEMG2Mid1[ j ] to MEMG2Mid8[ j ] represent the 2 nd group of 8 data groups of the electromyographic amplitude maximum value of the collection electrode in the rapid contraction stage of the multi-channel electrode, and MEMG2Inner1[ j ] to MEMG2Inner8[ j ] represent the 3 rd group of 8 data groups of the electromyographic amplitude maximum value of the collection electrode in the rapid contraction stage of the multi-channel electrode;
3) successive contraction phase 24 first-order feature value data sets: AEMG3Outer1[ k ] -AEMG 3Outer8[ k ], AEMG3Mid1[ k ] -AEMG 3Mid8[ k ], and AEMG3Inner1[ k ] -AEMG 3Inner8[ k ], wherein k is the first-order characteristic value data set length of the myoelectricity amplitude average value in the continuous contraction phase, and k is 10/1 which is 10. AEMG3Outer1[ k ] to AEMG3Outer8[ k ] represent 1 group of 8 acquisition electrode myoelectricity amplitude average data sets in the continuous contraction phase of the multichannel electrode, AEMG3Mid1[ k ] to AEMG3Mid8[ k ] represent 2 group of 8 acquisition electrode myoelectricity amplitude average data sets in the continuous contraction phase of the multichannel electrode, and AEMG3Inner1[ k ] to AEMG3Inner8[ k ] represent 3 group of 8 acquisition electrode myoelectricity amplitude average data sets in the continuous contraction phase of the multichannel electrode;
4) 24 first-order characteristic value data sets in the endurance contraction stage: AEMG4Outer1[ m ] -AEMG 4Outer8[ m ], AEMG4Mid1[ m ] -AEMG 4Mid8[ m ], and AEMG4Inner1[ m ] -AEMG 4Inner8[ m ], wherein m is the first-order characteristic value data set length of the myoelectricity amplitude average value in the endurance contraction stage, and m is 60/1 which is 60. AEMG4Outer1[ m ] to AEMG4Outer8[ m ] represent 1 group of 8 collection electrode myoelectricity amplitude average value data sets in the multichannel electrode endurance contraction stage, AEMG4Mid1[ m ] to AEMG4Mid8[ m ] represent 2 group of 8 collection electrode myoelectricity amplitude average value data sets in the multichannel electrode endurance contraction stage, and AEMG4Inner1[ m ] to AEMG4Inner8[ m ] represent 3 group of 8 collection electrode myoelectricity amplitude average value data sets in the multichannel electrode endurance contraction stage;
5) 24 first-level characteristic value data sets in the post-resting stage: AEMG5Outer1[ n ] -AEMG 5Outer8[ n ], AEMG5Mid1[ n ] -AEMG 5Mid8[ n ], and AEMG5Inner1[ n ] -AEMG 5Inner8[ n ], wherein n is the first-order characteristic value data group length of the myoelectricity amplitude average value of the post-resting stage, and n is 60/1 or 60. AEMG5Outer1[ n ] to AEMG5Outer8[ n ] represent 1 group of 8 collecting electrode myoelectricity amplitude average value data sets in the post-resting stage of the multi-channel electrode, AEMG5Mid1[ n ] to AEMG5Mid8[ n ] represent 2 group of 8 collecting electrode myoelectricity amplitude average value data sets in the post-resting stage of the multi-channel electrode, and AEMG5Inner1[ n ] to AEMG5Inner8[ n ] represent 3 group of 8 collecting electrode myoelectricity amplitude average value data sets in the post-resting stage of the multi-channel electrode.
Referring to fig. 3 again, the secondary characteristic value data set in S300 includes 40 secondary characteristic value data sets in the pre-resting stage, 40 secondary characteristic value data sets in the rapid contraction stage, 40 secondary characteristic value data sets in the continuous contraction stage, 40 secondary characteristic value data sets in the endurance contraction stage, and 40 secondary characteristic value data sets in the post-resting stage, and specifically, the secondary characteristic value data sets in each stage of the Glazer pelvic floor muscle assessment method are as follows:
1) pre-resting stage 40 secondary characteristic value data sets:
AEMG1Outer1_2[i]、AEMG1Outer2_3[i]、AEMG1Outer3_4[i]、AEMG1Outer4_5[i]、AEMG1Outer5_6[i]、AEMG1Outer6_7[i]、AEMG1Outer7_8[i]、AEMG1Outer8_1[i]；
AEMG1Mid1_2[i]、AEMG1Mid2_3[i]、AEMG1Mid3_4[i]、AEMG1Mid4_5[i]、AEMG1Mid5_6[i]、AEMG1Mid6_7[i]、AEMG1Mid7_8[i]、AEMG1Mid8_1[i]；
AEMG1Inner1_2[i]、AEMG1Inner2_3[i]、AEMG1Inner3_4[i]、AEMG1Inner4_5[i]、AEMG1Inner5_6[i]、AEMG1Inner6_7[i]、AEMG1Inner7_8[i]、AEMG1Inner8_1[i]；
AEMG1Outer1_Mid1[i]、AEMG1Outer2_Mid2[i]、AEMG1Outer3_Mid3[i]、AEMG1Outer4_Mid4[i]、AEMG1Outer5_Mid5[i]、AEMG1Outer6_Mid6[i]、AEMG1Outer7_Mid7[i]、AEMG1Outer1_Mid8[i]；
AEMG1Mid1_Inner1[i]、AEMG1Mid2_Inner2[i]、AEMG1Mid3_Inner3[i]、AEMG1Mid4_Inner4[i]、AEMG1Mid5_Inner5[i]、AEMG1Mid6_Inner6[i]、AEMG1Mid7_Inner7[i]、AEMG1Mid8_Inner8[i]；
taking AEMG1Outer1_2[ i ] as an example, AEMG1Outer1_2[ i ] represents a pelvic floor muscle region myoelectric wave amplitude average value data set between the 1 st electrode and the 2 nd electrode of the 1 st group of collection electrodes in the previous resting stage.
Taking AEMG1Outer1_ Mid1[ i ] as an example, AEMG1Outer1_ Mid1[ i ]
And a pelvic floor muscle region myoelectricity amplitude average value data set between the 1 st electrode of the 1 st group of collecting electrodes and the 1 st electrode of the 2 nd group of collecting electrodes in the pre-resting stage is shown.
The definition of the data set of other secondary characteristic values in the pre-resting stage is similar.
2) Fast shrink phase 40 secondary feature value data sets:
MEMG2Outer1_2[j]、MEMG2Outer2_3[j]、MEMG2Outer3_4[j]、MEMG2Outer4_5[j]、MEMG2Outer5_6[j]、MEMG2Outer6_7[j]、MEMG2Outer7_8[j]、MEMG2Outer8_1[j]；
MEMG2Mid1_2[j]、MEMG2Mid2_3[j]、MEMG2Mid3_4[j]、MEMG2Mid4_5[j]、MEMG2Mid5_6[j]、MEMG2Mid6_7[j]、MEMG2Mid7_8[j]、MEMG2Mid8_1[j]；
MEMG2Inner1_2[j]、MEMG2Inner2_3[j]、MEMG2Inner3_4[j]、MEMG2Inner4_5[j]、MEMG2Inner5_6[j]、MEMG2Inner6_7[j]、MEMG2Inner7_8[j]、MEMG2Inner8_1[j]；
MEMG2Outer1_Mid1[j]、MEMG2Outer2_Mid2[j]、MEMG2Outer3_Mid3[j]、MEMG2Outer4_Mid4[j]、MEMG2Outer5_Mid5[j]、MEMG2Outer6_Mid6[j]、MEMG2Outer7_Mid7[j]、MEMG2Outer1_Mid8[j]；
MEMG2Mid1_Inner1[j]、MEMG2Mid2_Inner2[j]、MEMG2Mid3_Inner3[j]、MEMG2Mid4_Inner4[j]、MEMG2Mid5_Inner5[j]、MEMG2Mid6_Inner6[j]、MEMG2Mid7_Inner7[j]、MEMG2Mid8_Inner8[j]；
taking MEMG2Outer1_2[ j ] as an example, MEMG2Outer1_2[ j ]
And a pelvic floor muscle region myoelectric amplitude maximum value data set between the 1 st electrode and the 2 nd electrode of the 1 st group of collecting electrodes in the rapid contraction stage is shown.
Taking MEMG2Outer1_ Mid1[ j ] as an example, MEMG2Outer1_ Mid1[ j ]
And a pelvic floor muscle region myoelectric wave amplitude maximum value data set between the 1 st electrode of the 1 st group of collecting electrodes and the 1 st electrode of the 2 nd group of collecting electrodes in the rapid contraction stage is shown.
The invention provides a fast contraction phase with similar definitions of other secondary characteristic value data sets.
3) Successive contraction phase 40 secondary characteristic value data sets:
AEMG3Outer1_2[k]、AEMG3Outer2_3[k]、AEMG3Outer3_4[k]、AEMG3Outer4_5[k]、AEMG3Outer5_6[k]、AEMG3Outer6_7[k]、AEMG3Outer7_8[k]、AEMG3Outer8_1[k]；
AEMG3Mid1_2[k]、AEMG3Mid2_3[k]、AEMG3Mid3_4[k]、AEMG3Mid4_5[k]、AEMG3Mid5_6[k]、AEMG3Mid6_7[k]、AEMG3Mid7_8[k]、AEMG3Mid8_1[k]；
AEMG3Inner1_2[k]、AEMG3Inner2_3[k]、AEMG3Inner3_4[k]、AEMG3Inner4_5[k]、AEMG3Inner5_6[k]、AEMG3Inner6_7[k]、AEMG3Inner7_8[k]、AEMG3Inner8_1[k]；
AEMG3Outer1_Mid1[k]、AEMG3Outer2_Mid2[k]、AEMG3Outer3_Mid3[k]、AEMG3Outer4_Mid4[k]、AEMG3Outer5_Mid5[k]、AEMG3Outer6_Mid6[k]、AEMG3Outer7_Mid7[k]、AEMG3Outer1_Mid8[k]；
AEMG3Mid1_Inner1[k]、AEMG3Mid2_Inner2[k]、AEMG3Mid3_Inner3[k]、AEMG3Mid4_Inner4[k]、AEMG3Mid5_Inner5[k]、AEMG3Mid6_Inner6[k]、AEMG3Mid7_Inner7[k]、AEMG3Mid8_Inner8[k]；
take AEMG3Outer1_2[ k ] as an example, AEMG3Outer1_2[ k ]
And (3) representing a pelvic floor muscle region myoelectric wave amplitude average value data set between the 1 st electrode and the 2 nd electrode of the 1 st group of collecting electrodes in the continuous contraction stage.
Take AEMG3Outer1_ Mid1[ k ] as an example, AEMG3Outer1_ Mid1[ k ] ═
And a data set of the mean value of the electromyographic amplitude of the pelvic floor muscle region between the 1 st electrode of the 1 st group of collecting electrodes and the 1 st electrode of the 2 nd group of collecting electrodes in the continuous contraction stage is shown.
The definition of the data set of other secondary characteristic values in the pre-resting stage is similar.
4) Endurance contraction stage 40 secondary characteristic value data sets:
AEMG4Outer1_2[m]、AEMG4Outer2_3[m]、AEMG4Outer3_4[m]、AEMG4Outer4_5[m]、AEMG4Outer5_6[m]、AEMG4Outer6_7[m]、AEMG4Outer7_8[m]、AEMG4Outer8_1[m]；
AEMG4Mid1_2[m]、AEMG4Mid2_3[m]、AEMG4Mid3_4[m]、AEMG4Mid4_5[m]、AEMG4Mid5_6[m]、AEMG4Mid6_7[m]、AEMG4Mid7_8[m]、AEMG4Mid8_1[m]；
AEMG4Inner1_2[m]、AEMG4Inner2_3[m]、AEMG4Inner3_4[m]、AEMG4Inner4_5[m]、AEMG4Inner5_6[m]、AEMG4Inner6_7[m]、AEMG4Inner7_8[m]、AEMG4Inner8_1[m]；
AEMG4Outer1_Mid1[m]、AEMG4Outer2_Mid2[m]、AEMG4Outer3_Mid3[m]、AEMG4Outer4_Mid4[m]、AEMG4Outer5_Mid5[m]、AEMG4Outer6_Mid6[m]、AEMG4Outer7_Mid7[m]、AEMG4Outer1_Mid8[m]；
AEMG4Mid1_Inner1[m]、AEMG4Mid2_Inner2[m]、AEMG4Mid3_Inner3[m]、AEMG4Mid4_Inner4[m]、AEMG4Mid5_Inner5[m]、AEMG4Mid6_Inner6[m]、AEMG4Mid7_Inner7[m]、AEMG4Mid8_Inner8[m]；
take AEMG4Outer1_2[ m ] as an example, AEMG4Outer1_2[ m ]
And a data set of the mean value of the myoelectricity amplitude of the pelvic floor muscle region between the 1 st electrode and the 2 nd electrode of the 1 st group of collecting electrodes in the endurance contraction stage is shown.
Take AEMG4Outer1_ Mid1[ m ] as an example, AEMG4Outer1_ Mid1[ m ]
And the data group of the mean value of the electromyogram amplitude of the pelvic floor muscle region between the 1 st electrode of the 1 st group of collecting electrodes and the 1 st electrode of the 2 nd group of collecting electrodes in the endurance contraction stage is shown.
The definition of the data set of other secondary characteristic values in the pre-resting stage is similar.
5) Post-resting stage 40 secondary characteristic value data sets:
AEMG5Outer1_2[n]、AEMG5Outer2_3[n]、AEMG5Outer3_4[n]、AEMG5Outer4_5[n]、AEMG5Outer5_6[n]、AEMG5Outer6_7[n]、AEMG5Outer7_8[n]、AEMG5Outer8_1[n]；
AEMG5Mid1_2[n]、AEMG5Mid2_3[n]、AEMG5Mid3_4[n]、AEMG5Mid4_5[n]、AEMG5Mid5_6[n]、AEMG5Mid6_7[n]、AEMG5Mid7_8[n]、AEMG5Mid8_1[n]；
AEMG5Inner1_2[n]、AEMG5Inner2_3[n]、AEMG5Inner3_4[n]、AEMG5Inner4_5[n]、AEMG5Inner5_6[n]、AEMG5Inner6_7[n]、AEMG5Inner7_8[n]、AEMG5Inner8_1[n]；
AEMG5Outer1_Mid1[n]、AEMG5Outer2_Mid2[n]、AEMG5Outer3_Mid3[n]、AEMG5Outer4_Mid4[n]、AEMG5Outer5_Mid5[n]、AEMG5Outer6_Mid6[n]、AEMG5Outer7_Mid7[n]、AEMG5Outer1_Mid8[n]；
AEMG5Mid1_Inner1[n]、AEMG5Mid2_Inner2[n]、AEMG5Mid3_Inner3[n]、AEMG5Mid4_Inner4[n]、AEMG5Mid5_Inner5[n]、AEMG5Mid6_Inner6[n]、AEMG5Mid7_Inner7[n]、AEMG5Mid8_Inner8[n]；
taking AEMG5Outer1_2[ n ] as an example, AEMG5Outer1_2[ n ] represents a pelvic floor muscle region myoelectric wave amplitude average value data set between the 1 st electrode and the 2 nd electrode of the 1 st group collection electrode in the later resting stage.
Taking AEMG5out 1_ Mid1[ n ] as an example, AEMG5out 1_ Mid1[ n ] represents a pelvic floor muscle region myoelectricity amplitude average value data set between the 1 st electrode of the 1 st group of collection electrodes and the 1 st electrode of the 2 nd group of collection electrodes at the later resting stage.
The definition of the data set of other secondary characteristic values in the pre-resting stage is similar.
While the invention has been described above with reference to an embodiment, various modifications may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In particular, the various features of the disclosed embodiments of the invention may be used in any combination, provided that no structural conflict exists, and the combinations are not exhaustively described in this specification merely for the sake of brevity and resource conservation. Therefore, it is intended that the invention not be limited to the particular embodiments disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.
Claims (7)
1. A multichannel pelvic floor muscle strength assessment system is characterized in that: the multi-channel electrode is connected with the basic data collector, the basic data collector is connected with the processor, the multi-channel electrode is composed of a first collecting electrode, a second collecting electrode and a third collecting electrode, and a plurality of electrode plates are mounted on the first collecting electrode, the second collecting electrode and the third collecting electrode.
2. The multichannel pelvic floor muscle strength assessment system according to claim 1, wherein: the basic data collector is a control box with an analog signal sampling unit and a data transmission unit, and the basic data collector is connected with the multi-channel electrode through a wired cable.
3. The multichannel pelvic floor muscle strength assessment system according to claim 1, wherein: the processor is a computer with a data operation and processing unit, and the processor is connected with the basic data acquisition unit in a wireless or wired mode.
4. A multichannel pelvic floor muscle force assessment method according to any one of claims 1 to 3, characterized in that: the working steps of the evaluation method are as follows
S100: a basic data acquisition unit acquires pelvic floor muscle surface electromyographic signals acquired after a multi-channel electrode is inserted into the vagina or rectum of a patient, and the signals are filtered to serve as basic data;
s200: the processor receives basic data from the basic data collector and obtains a corresponding first-level characteristic value data set through calculation;
s300: the processor obtains a second-level characteristic value data group according to the first-level characteristic value data group;
s400: the processor obtains a pelvic floor muscle force matrix distribution result according to the first-level characteristic value data group and the second-level characteristic value data group.
5. The multichannel pelvic floor muscle strength assessment method according to claim 4, wherein: in the S100, data acquisition is divided into five stages, including a pre-resting stage, a rapid contraction stage, a continuous contraction stage, a endurance contraction stage and a post-resting stage.
6. The multichannel pelvic floor muscle strength assessment method according to claim 4, wherein: the first-level characteristic value data group in the S200 is composed of 24 first-level characteristic value data groups in a previous resting stage, 24 first-level characteristic value data groups in a rapid contraction stage, 24 first-level characteristic value data groups in a continuous contraction stage, 24 first-level characteristic value data groups in a endurance contraction stage and 24 first-level characteristic value data groups in a later resting stage.
7. The multichannel pelvic floor muscle strength assessment method according to claim 4, wherein: the second-level characteristic value data set in S300 is composed of 40 first-level characteristic value data sets in the previous resting stage, 40 second-level characteristic value data sets in the rapid contraction stage, 40 second-level characteristic value data sets in the continuous contraction stage, 40 second-level characteristic value data sets in the endurance contraction stage, and 40 second-level characteristic value data sets in the subsequent resting stage.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112205986A (en) * | 2020-09-30 | 2021-01-12 | 海宁波恩斯坦生物科技有限公司 | Extensible electrode array for accurately positioning pelvic floor muscles and design method thereof |
| CN113181554A (en) * | 2021-06-18 | 2021-07-30 | 麦柯尔医疗科技(上海)有限公司 | Self-destruction type pelvic floor treatment myoelectricity biofeedback instrument |
| CN113274025A (en) * | 2021-05-18 | 2021-08-20 | 南京麦澜德医疗科技股份有限公司 | Adjusting system and method based on pelvic floor muscle symmetry test |
| CN113288182A (en) * | 2021-07-09 | 2021-08-24 | 深圳京柏医疗科技股份有限公司 | Pelvic floor muscle fatigue judgment method and pelvic floor muscle rehabilitation training method and device |
| CN113509644A (en) * | 2021-08-10 | 2021-10-19 | 浙江大学 | Multi-point electrical stimulation system capable of adjusting parameters in real time and oriented to pelvic floor rehabilitation |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103505204A (en) * | 2013-10-16 | 2014-01-15 | 南京麦澜德医疗科技有限公司 | Pelvic floor muscle function screening method |
-
2019
- 2019-10-21 CN CN201910999439.2A patent/CN110916656A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103505204A (en) * | 2013-10-16 | 2014-01-15 | 南京麦澜德医疗科技有限公司 | Pelvic floor muscle function screening method |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112205986A (en) * | 2020-09-30 | 2021-01-12 | 海宁波恩斯坦生物科技有限公司 | Extensible electrode array for accurately positioning pelvic floor muscles and design method thereof |
| CN113274025A (en) * | 2021-05-18 | 2021-08-20 | 南京麦澜德医疗科技股份有限公司 | Adjusting system and method based on pelvic floor muscle symmetry test |
| CN113274025B (en) * | 2021-05-18 | 2023-06-20 | 南京麦澜德医疗科技股份有限公司 | Adjusting system and method based on pelvic floor muscle symmetry test |
| CN113181554A (en) * | 2021-06-18 | 2021-07-30 | 麦柯尔医疗科技(上海)有限公司 | Self-destruction type pelvic floor treatment myoelectricity biofeedback instrument |
| CN113288182A (en) * | 2021-07-09 | 2021-08-24 | 深圳京柏医疗科技股份有限公司 | Pelvic floor muscle fatigue judgment method and pelvic floor muscle rehabilitation training method and device |
| CN113288182B (en) * | 2021-07-09 | 2022-04-22 | 深圳京柏医疗科技股份有限公司 | Pelvic floor muscle rehabilitation training device |
| CN113509644A (en) * | 2021-08-10 | 2021-10-19 | 浙江大学 | Multi-point electrical stimulation system capable of adjusting parameters in real time and oriented to pelvic floor rehabilitation |
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