CN107391938B - Parameter evaluation method and equipment for human body implanted medical device - Google Patents

Parameter evaluation method and equipment for human body implanted medical device Download PDF

Info

Publication number
CN107391938B
CN107391938B CN201710612660.9A CN201710612660A CN107391938B CN 107391938 B CN107391938 B CN 107391938B CN 201710612660 A CN201710612660 A CN 201710612660A CN 107391938 B CN107391938 B CN 107391938B
Authority
CN
China
Prior art keywords
parameters
parameter
standard
standard parameters
difference
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.)
Active
Application number
CN201710612660.9A
Other languages
Chinese (zh)
Other versions
CN107391938A (en
Inventor
徐丁
陈浩
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Pins Medical Co Ltd
Original Assignee
Beijing Pins Medical Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Beijing Pins Medical Co Ltd filed Critical Beijing Pins Medical Co Ltd
Priority to CN201710612660.9A priority Critical patent/CN107391938B/en
Publication of CN107391938A publication Critical patent/CN107391938A/en
Application granted granted Critical
Publication of CN107391938B publication Critical patent/CN107391938B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Medical Treatment And Welfare Office Work (AREA)
  • Electrotherapy Devices (AREA)

Abstract

The invention provides a parameter evaluation method and equipment for a human body implanted medical device, wherein the evaluation method comprises the following steps: acquiring operating parameters of the device; determining at least one set of standard parameters which have small differences with the operation parameters; determining the number of standard parameters effective for the user's condition from the determined at least one set of standard parameters; and determining the evaluation result of the operation parameters according to the number of the standard parameters effective to the user symptoms.

Description

Parameter evaluation method and equipment for human body implanted medical device
Technical Field
The invention relates to the field of medical equipment, in particular to a parameter evaluation method and equipment for a human body implanted medical device.
Background
An Implantable Medical Device (IMD) is a Medical apparatus installed inside the body of a user, and the IMD has a battery, a chip and a sensor therein, and implements corresponding therapy depending on a set program and operating parameters, which may be set differently according to the condition of the user. Because the causes and conditions of the users are different, different implantable medical devices installed in the bodies of the users generally have different operating states, and the operating states are represented in various aspects of the battery voltage, the operating time, the power, the current magnitude, the frequency and the like of the implantable medical devices.
IMD operating parameters are numerous, operating parameter settings are complex, and whether the implantable medical device has efficacy or not, and whether the current operating parameters of the device are reasonable or not, are usually determined by the experience of the physician. Because different doctors see different patient conditions and patients have different expectations of their efficacy, the IMD parameter settings are not exactly the same for different doctors or patients, even for the same condition. Therefore, it is difficult to objectively determine whether the manually set operation parameters are suitable for the symptoms of the patient, and if the parameters are not properly set, the IMD cannot achieve the expected curative effect, but can only adjust the operation parameters by observing the curative effect for a long time, which is obviously not beneficial to the recovery of the patient.
Disclosure of Invention
Therefore, the invention aims to solve the problem that the prior art cannot objectively evaluate whether IMD operation parameters are suitable for patient symptoms or not.
The invention provides a parameter evaluation method for a human body implanted medical device, which comprises the following steps: acquiring operating parameters of the device; determining at least one set of standard parameters which have small differences with the operation parameters; determining the number of standard parameters effective for the user's condition from the determined at least one set of standard parameters; and determining the evaluation result of the operation parameters according to the number of the standard parameters effective to the user symptoms.
Optionally, the operating parameter is a stimulation parameter, and the stimulation parameter includes at least one of signal amplitude, signal pulse width, and signal frequency.
Optionally, the operating parameters are multiple, and each set of standard parameters has a corresponding multiple of standard parameters.
Optionally, the determining at least one set of standard parameters with small differences from the operating parameters includes:
respectively calculating the difference degree of each operation parameter and the standard parameter of the corresponding type in each group of standard parameters;
respectively determining the sum of the difference between each kind of operation parameter and the standard parameter of the corresponding kind in each group of standard parameters;
and determining at least one group of standard parameters with smaller difference according to the sum of the difference degrees of the standard parameters with the corresponding types in each group of standard parameters.
Optionally, the separately calculating a difference between each operating parameter and a corresponding standard parameter in each set of the standard parameters includes:
carrying out normalization processing on the various operation parameters;
and calculating the difference degree between each operation parameter after normalization processing and the standard parameter of the corresponding type in each group of standard parameters, wherein the standard parameter of the corresponding type is the standard parameter after normalization processing.
Optionally, the separately determining a sum of the difference between each operating parameter and the standard parameter of the corresponding kind in each set of standard parameters includes:
acquiring a weight corresponding to each operation parameter;
and calculating the sum of the difference degrees by using the weight value and the difference degree.
Optionally, the evaluation result is a ratio of the number of standard parameters effective for the user's condition to the total number of the at least one set of standard parameters with smaller differences.
A second aspect of the present invention provides an electronic device comprising: at least one processor and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to cause the at least one processor to perform the method for parameter assessment of an implantable medical device as provided in the first aspect above.
According to the parameter evaluation method and the equipment for the human body implantable medical device, provided by the invention, firstly, the operating parameters of the IMD are compared with the standard parameters to find a plurality of standard parameters with smaller differences with the operating parameters of the IMD, then, the standard parameters and the number thereof which are effective to the symptoms of the current user are determined from the standard parameters with smaller differences, and finally, the evaluation result of the operating parameters of the IMD is determined according to the number, so that whether the operating parameters of the IMD are suitable for the symptoms of the current user is determined.
Drawings
In order to more clearly illustrate the embodiments of the present invention 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, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a method for evaluating parameters of a human implantable medical device according to an embodiment of the present invention;
fig. 2 is a timing diagram of a parameter evaluation system of a human implantable medical device according to an embodiment of the invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; the two elements may be directly connected or indirectly connected through an intermediate medium, or may be communicated with each other inside the two elements, or may be wirelessly connected or wired connected. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
The first embodiment of the present invention provides a parameter evaluation method for a human implanted medical device, which may be executed by a mobile terminal, a server or an IMD itself, and the method is described by taking a cerebral pacemaker as an example, as shown in fig. 1, and comprises the following steps:
s11, obtaining operating parameters of the IMD, wherein the operating parameters include battery voltage, operating time, power, magnitude and frequency of current, for example, in this embodiment, it is preferable to obtain more important parameters, which may be at least one of signal amplitude, signal pulse width and signal frequency. The situations of acquiring the operating parameters include various situations, the existing IMD generally has a wireless communication function (such as bluetooth communication, wireless local area network communication and the like), and for the situation that the intelligent terminal (such as a smart phone, a tablet computer, a personal computer and the like) executes the method, the intelligent terminal can acquire the operating parameters of the IMD in a wireless communication mode and execute subsequent steps by the intelligent terminal; for the case that the server executes the method, the intelligent terminal and the IMD can be communicated in a short distance to acquire operation parameters, and then the operation parameters are sent to the remote server; in case the method is performed by the IMD itself, it can be directly acquired by the IMD.
At S12, at least one set of standard parameters with small difference from the operation parameters is determined, the standard parameters can be prestored parameters, for which a standard parameter library can be established in advance in the device for executing the method, wherein the standard parameters can be clinically validated parameters respectively effective for various diseases. With regard to the explanation of "group", as described above, when there are a plurality of kinds of acquired operation parameters, there should be at least a plurality of kinds of standard parameters of a corresponding kind in each group of standard parameters, and when there is only one kind of acquired operation parameter, there may be only one kind of standard parameter in each group of standard parameters. Also, there is not necessarily only one set of standard parameters that are effective for the same condition.
And S13, determining the number of standard parameters effective for the user disease state from the determined at least one group of standard parameters. In the at least one set of standard parameters with small differences found in step S12, it is not necessary that each set of standard parameters is the parameter effective for the current user condition, for example, the number of sets of standard parameters with small differences is K, and only M sets of standard parameters in the K sets may be the standard parameters effective for the current user condition, i.e. M ≦ K should be. There are also various ways of determining the user's condition, for example, the user logs in the device for performing the method using the identity information, and the device has at least the condition information of the current user pre-stored therein, so that the user's condition can be determined based on the user identity information.
And S14, determining the evaluation result of the operation parameters according to the number of the standard parameters effective for the user symptoms. The larger the number M, the more suitable the operation parameter is for the user, so the expression form of the evaluation result may be various, for example, the expression form may be percentage, numerical value, or text expression is feasible.
According to the parameter evaluation method for the human body implantable medical device, provided by the embodiment of the invention, the operating parameters of the IMD are compared with the standard parameters to find a plurality of standard parameters with smaller differences with the operating parameters of the IMD, then the standard parameters and the number thereof effective to the symptoms of the current user are determined from the standard parameters with smaller differences, and finally the evaluation result of the operating parameters of the IMD is determined according to the number, so that whether the operating parameters of the IMD are suitable for the symptoms of the current user is determined.
As a preferred embodiment, step S12 may include the steps of:
and S121, respectively calculating the difference degree of each operation parameter and the corresponding kind of standard parameters in each group of standard parameters, wherein the difference degree can be a variance. Taking the above three important parameters as An example, it is assumed that the signal amplitude a0, the signal pulse width B0, and the signal frequency C0 are obtained, the standard parameter library has N sets of standard parameters, the 1 st set is a1, B1, C1, the 2 nd set is a2, B2, C2, … …, and the N th set is An, Bn, Cn. Thus, the variance Xn of the variances X1 of a0 and a1, the variances X2 … … a0 and An of a0 and a2, the variance Yn of the variances Y1 of B0 and B1, the variance Y2 … … B0 and Bn of B0 and B2, and the variance Zn of the variances Z1 of C0 and C1, the variance Z2 … … C0 and Cn of C0 and C2 can be calculated.
S122, respectively determining the total difference between each operating parameter and the corresponding standard parameter in each set of standard parameters, that is, the total variance between the operating parameters a0, B0 and C0 and the first set of standard parameters is X1+ Y1+ Z1 ═ V1, and the total variance between the operating parameters a0, B0 and C0 and the second set of standard parameters is X2+ Y2+ Z2 ═ V2 … …, the total variance between the operating parameters a0, B0 and C0 and the N set of standard parameters is Xn + Yn + Zn ═ Vn;
s123, determining at least one group of standard parameters with smaller difference according to the sum of the difference degrees of the standard parameters of the corresponding types in each group of standard parameters, namely selecting a plurality of standard parameters according to V1 … … Vn, wherein the V1 … … Vn may have the same condition, in the step, a difference threshold value can be set, and K groups of standard parameters smaller than the difference threshold value are selected.
Further, since the numerical ranges of the plurality of parameters have large differences, in order to calculate the difference more accurately, normalization processing may be performed on the various parameters, and the step S121 may specifically include:
s1211, normalizing the various operation parameters, for example, processing the various operation parameters into values between 0 and 1;
and S1212, calculating a difference degree between each normalized operation parameter and a corresponding type of standard parameter in each set of standard parameters, wherein the corresponding type of standard parameter is the normalized standard parameter.
As an alternative embodiment, the importance degree of each operating parameter may be considered, so that the calculated difference degree can reflect the effect on the disease more accurately, that is, the above S122 may specifically include the following steps:
s1221, obtaining the weight corresponding to each kind of operation parameter, where the weights may be preset and stored in the device executing the method, and when executing, the method may obtain the corresponding weights according to the kind of the operation parameter, for example, the operation parameters A0, B0, and C0 correspond to the weights P1, P2, and P3, respectively;
s1222, the sum of the differences is calculated by using the weights and the differences, so that the sum of the variances of the operating parameters a0, B0, C0 and the first set of standard parameters is X1 × P1+ Y1 × P2+ Z1 × P3 ═ V1, and the sum of the variances of the operating parameters a0, B0, C0 and the second set of standard parameters is X2 × P1+ Y2 × P2+ Z2 × P3 ═ V2 … …, and the sum of the variances of the operating parameters a0, B0, C0 and the N set of standard parameters is Xn × P1+ Yn P2+ Zn × P3 ═ Vn.
In order to obtain a more objective evaluation result, in step S14, the evaluation result is preferably obtained by the following calculation:
M/K100%, where K is the number of at least one set of standard parameters determined in step S12 that have a smaller difference from the operating parameters, and M is the number of standard parameters of the K sets of standard parameters that are effective for the user' S condition.
Correspondingly, an embodiment of the present invention further provides an electronic device, including: the system comprises at least one processor and a memory, wherein the processor and the memory are connected through a bus, and the memory stores instructions which can be executed by the at least one processor, and the instructions are executed by the at least one processor so as to enable the at least one processor to execute the parameter evaluation method of the human implanted medical device shown in the figure 1.
The electronic equipment is used for evaluating the operating parameters of the IMD, whether the operating parameters of the IMD are suitable for the symptoms of the current user can be determined, doctors and patients can be assisted in setting the IMD, and the influence of artificial subjective consciousness on parameter setting is reduced.
Those skilled in the art will appreciate that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), a Random Access Memory (RAM), or the like.
A second embodiment of the present invention provides a parameter evaluation system for a human body implantable medical device, which includes an IMD, an intelligent terminal and a server, as shown in fig. 2, wherein the IMD is wirelessly connected to the intelligent terminal at a short distance, and the intelligent terminal is remotely connected to the server.
The system executes a human body implanted medical device parameter evaluation method shown in figure 2, which comprises the following steps:
s21, the intelligent terminal receives the operating parameters of the IMD, and the user' S own intelligent terminal may be connected to the IMD by bluetooth, wireless lan, etc. as in the first embodiment, the operating parameters include various parameters, such as battery voltage, operating time, power, and current magnitude and frequency, and in this embodiment, it is preferable to obtain important parameters, such as at least one of signal amplitude, signal pulse width, and signal frequency;
s22, the intelligent terminal sends the operation parameters to the server;
s23, the server determines at least one set of standard parameters with small difference from the operation parameters, see step S12 of the first embodiment;
s24, the server determines the number of standard parameters effective for the user' S disease condition from the determined at least one set of standard parameters, see step S13 of the first embodiment;
s25, the server determines the result of the evaluation of the operational parameter based on the number of standard parameters that are effective for the user' S condition. See step S14 of the first embodiment specifically;
and S26, the server sends the evaluation result to the intelligent terminal.
The system and the method for evaluating parameters of the human body implantable medical device are applicable to the existing IMD equipment, wherein the IMD equipment only needs to execute operation of acquiring operation parameters, the intelligent terminal executes operation of transferring data, the operation parameter evaluation operation is executed by the remote server, namely, the server evaluates whether the IMD operation parameters are suitable for the symptoms of the current user, the system can assist doctors and patients to set the IMD, the influence of artificial subjective consciousness on parameter setting is reduced, the requirement on hardware performance of the IMD equipment is not high, information such as standard parameters and user symptoms can be stored in the server, the server executes calculation, searching and other operations, and the evaluation result is displayed through the intelligent terminal of the user, and the system and the method have high practicability.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications therefrom are within the scope of the invention.

Claims (8)

1. A parameter evaluation method for a human body implantable medical device is characterized by comprising the following steps:
acquiring operating parameters of the device;
determining at least one set of standard parameters which have small differences with the operation parameters;
determining a number of sets of standard parameters effective for the user's condition from the determined at least one set of standard parameters;
determining an evaluation result of the operational parameter based on the number of sets of standard parameters effective for the user's condition.
2. The method of claim 1, wherein the operating parameter is a stimulation parameter comprising at least one of signal amplitude, signal pulse width, and signal frequency.
3. The method of claim 1, wherein said operating parameters are plural, and each set of said standard parameters has a corresponding plural standard parameter.
4. The method of claim 3, wherein determining at least one set of criteria parameters that differ less from the operating parameters comprises:
respectively calculating the difference degree of each operation parameter and the standard parameter of the corresponding type in each group of standard parameters;
respectively determining the sum of the difference between each kind of operation parameter and the standard parameter of the corresponding kind in each group of standard parameters;
and determining at least one group of standard parameters with smaller difference according to the sum of the difference degrees of the standard parameters with the corresponding types in each group of standard parameters.
5. The method of claim 4, wherein said separately calculating a degree of difference between each operational parameter and a corresponding standard parameter in each set of said standard parameters comprises:
carrying out normalization processing on the various operation parameters;
and calculating the difference degree between each operation parameter after normalization processing and the standard parameter of the corresponding type in each group of standard parameters, wherein the standard parameter of the corresponding type is the standard parameter after normalization processing.
6. The method of claim 4, wherein said separately determining a sum of the degree of difference between each operating parameter and a respective type of standard parameter in each set of standard parameters comprises:
acquiring a weight corresponding to each operation parameter;
and calculating the sum of the difference degrees by using the weight value and the difference degree.
7. The method of claim 1, wherein the evaluation is a ratio of the number of sets of standard parameters effective for the user's condition to the total number of sets of at least one set of standard parameters with less difference.
8. An electronic device, comprising: at least one processor and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the method of human implantable medical device parameter assessment of any one of claims 1-7.
CN201710612660.9A 2017-07-25 2017-07-25 Parameter evaluation method and equipment for human body implanted medical device Active CN107391938B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710612660.9A CN107391938B (en) 2017-07-25 2017-07-25 Parameter evaluation method and equipment for human body implanted medical device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710612660.9A CN107391938B (en) 2017-07-25 2017-07-25 Parameter evaluation method and equipment for human body implanted medical device

Publications (2)

Publication Number Publication Date
CN107391938A CN107391938A (en) 2017-11-24
CN107391938B true CN107391938B (en) 2020-04-28

Family

ID=60337216

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710612660.9A Active CN107391938B (en) 2017-07-25 2017-07-25 Parameter evaluation method and equipment for human body implanted medical device

Country Status (1)

Country Link
CN (1) CN107391938B (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU2009206541A1 (en) * 2008-01-22 2009-07-30 Cardiac Pacemakers, Inc. Respiration as a trigger for therapy optimization
CN104645499A (en) * 2015-03-16 2015-05-27 北京品驰医疗设备有限公司 In vitro controller of implantable medical device for patients
CN105147249A (en) * 2015-08-06 2015-12-16 北京集创北方科技有限公司 Wearable or implantable device evaluation system and method
CN106659403A (en) * 2014-07-14 2017-05-10 美敦力公司 Determining prospective risk of heart failure hospitalization

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10706129B2 (en) * 2013-02-27 2020-07-07 The United States Of America As Represented By The Secretary Of The Navy Medical logistics management program
DE102005006661A1 (en) * 2005-02-14 2006-08-24 Siemens Ag Medical equipment system operating method for use in hospital, involves correlating image data with parameter adjustment such that data or data with parameter adjustment or parameter adjustment are transmittable over communication network

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU2009206541A1 (en) * 2008-01-22 2009-07-30 Cardiac Pacemakers, Inc. Respiration as a trigger for therapy optimization
CN106659403A (en) * 2014-07-14 2017-05-10 美敦力公司 Determining prospective risk of heart failure hospitalization
CN104645499A (en) * 2015-03-16 2015-05-27 北京品驰医疗设备有限公司 In vitro controller of implantable medical device for patients
CN105147249A (en) * 2015-08-06 2015-12-16 北京集创北方科技有限公司 Wearable or implantable device evaluation system and method

Also Published As

Publication number Publication date
CN107391938A (en) 2017-11-24

Similar Documents

Publication Publication Date Title
US20200352466A1 (en) Arrythmia detection with feature delineation and machine learning
US11776691B2 (en) Machine learning based depolarization identification and arrhythmia localization visualization
Botros et al. AutoNRT™: An automated system that measures ECAP thresholds with the Nucleus® Freedom™ cochlear implant via machine intelligence
US20120116741A1 (en) Systems and methods of constructing a patient specific neural electrical stimulation model
WO2019200918A1 (en) Medical device, algorithm updating method, medical system and external monitoring device
CN108353236B (en) Stimulation parameter optimization
CN108697361A (en) Reduce the false positive in detecting potential cardiac standstill
US11786724B2 (en) Recipient-directed electrode set selection
EP3648837B1 (en) Priority-based medical data management system
EP2877086A1 (en) Heart failure patients stratification
US11202601B2 (en) Methods and apparatus for monitoring epilepsy
EP3820361B1 (en) Supervised cardiac event detection
WO2022018529A1 (en) Diagnosis or treatment via vestibular and cochlear measures
US20150173637A1 (en) Detecting Neuronal Action Potentials Using a Convolutive Compound Action Potential Model
CN107391938B (en) Parameter evaluation method and equipment for human body implanted medical device
WO2018106597A1 (en) Phenotyping sensor patterns to identify and treat heart failure
CN109529193B (en) Vagus nerve stimulator and system based on closed-loop control
CN116966417A (en) Method and device for detecting abrasion of implanted electrode
KR101604996B1 (en) Apparatus for stimulus information for urination control
Archambeau et al. Prediction of visual perceptions with artificial neural networks in a visual prosthesis for the blind
US20230338732A1 (en) Vestibular clinical support system functionality
CN113426015A (en) Intervention method and device for deep intracerebral stimulation, electronic equipment and storage medium
Craddock et al. Comparison between NRT‐based MAPs and behaviourally measured MAPs at different stimulation rates–a multicentre investigation
Cronin et al. Performance of alert transmissions from cardiac implantable electronic devices to the CareLink network: A retrospective analysis
WO2023012600A1 (en) Phase coherence-based analysis of biological responses

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
GR01 Patent grant
GR01 Patent grant