CN113827869B - High-potential ultrashort wave signal regulation control system for Alzheimer disease therapeutic instrument - Google Patents
High-potential ultrashort wave signal regulation control system for Alzheimer disease therapeutic instrument Download PDFInfo
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Abstract
The invention discloses a high-potential ultrashort wave signal regulation control system for an Alzheimer's disease therapeutic apparatus, relates to the technical field of therapeutic apparatus signal regulation control, and solves the technical problem that the corresponding parameter regulation range of the therapeutic apparatus cannot be obtained according to patients in the prior art, the control range of the Alzheimer's disease therapeutic apparatus is obtained according to historical operation, the use of the therapeutic apparatus is well monitored, the accuracy of signal regulation control is enhanced, the reduction of the therapeutic effect of the therapeutic apparatus caused by improper regulation of the therapeutic apparatus is prevented, and the therapeutic effect cannot reach expectations; the therapeutic apparatus is regulated and controlled, so that the therapeutic efficiency of a patient is effectively improved, the occurrence of risks is prevented, and meanwhile, the adjusting range of the therapeutic apparatus corresponding to the patient is analyzed and judged, so that the signal regulation accuracy of the therapeutic apparatus is improved.
Description
Technical Field
The invention relates to the technical field of signal regulation and control of therapeutic apparatuses, in particular to a high-potential ultrashort wave signal regulation and control system for an Alzheimer disease therapeutic apparatus.
Background
Alzheimer's disease is a degenerative disease of the nervous system that develops with hidden disease progression. Clinically, global dementia characterized by memory impairment, aphasia, disuse, disrecognition, impairment of visual space skills, executive dysfunction, personality and behavioral changes, etc., has heretofore been unknown in etiology. The patient before 65 years old is called Alzheimer's disease; the onset of the disease after 65 years old is called senile dementia; the Alzheimer's disease therapeutic apparatus is one of Alzheimer's disease therapeutic tools.
However, in the prior art, in the use process of the Alzheimer's disease therapeutic apparatus, proper therapeutic apparatus parameters corresponding to a patient cannot be obtained through analysis, so that the regulation and control efficiency of the Alzheimer's disease therapeutic apparatus is reduced, the treatment efficiency of the patient cannot be ensured, the regulation and control operation intensity is reduced, and meanwhile, the regulation and control accuracy of the therapeutic apparatus is reduced.
In view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to solve the problem by providing the high-potential ultrashort wave signal regulation control system for the Alzheimer's disease therapeutic apparatus, which is used for acquiring the control range of the Alzheimer's disease therapeutic apparatus according to the historical operation, well monitoring the use of the therapeutic apparatus, enhancing the accuracy of signal regulation control and preventing the decrease of the therapeutic effect of the therapeutic apparatus caused by improper regulation of the therapeutic apparatus, so that the therapeutic effect cannot reach expectations; the therapeutic apparatus is regulated and controlled, so that the therapeutic efficiency of a patient is effectively improved, the occurrence of risks is prevented, and meanwhile, the adjusting range of the therapeutic apparatus corresponding to the patient is analyzed and judged, so that the signal regulation accuracy of the therapeutic apparatus is improved.
The aim of the invention can be achieved by the following technical scheme:
the high-potential ultrashort wave signal regulation control system for the Alzheimer disease therapeutic apparatus comprises a regulation control platform, wherein a server is arranged in the regulation control platform, and the server is in communication connection with an influence data acquisition unit, a real-time analysis unit, a signal regulation and control unit and a therapeutic effect detection unit;
the regulation control platform is used for regulating and controlling short wave signals of the Alzheimer's disease therapeutic apparatus, the server generates influence data acquisition signals and sends the influence data acquisition signals to the influence data acquisition unit, and the influence data acquisition unit analyzes the historical operation of the Alzheimer's disease therapeutic apparatus; generating a first-order potential range, a first-order wavelength range, a second-order potential range and a second-order wavelength range through analysis; the signal regulation and control unit is used for carrying out signal regulation and control on a patient using the therapeutic apparatus in real time; after analyzing the patient for using the therapeutic apparatus, generating a real-time analysis signal and sending the real-time analysis signal to a real-time analysis unit, and performing real-time analysis on the therapeutic apparatus used by the patient in real time through the real-time analysis unit; the server generates a treatment effect detection signal and transmits the treatment effect detection signal to a treatment effect detection unit, and the treatment effect detection unit analyzes the treatment effect of the analysis patient.
As a preferred embodiment of the invention, the data acquisition process affecting the data acquisition unit is as follows:
analyzing the Alzheimer's disease patient and marking the patient as an analyzed patient; according to the threshold number of analysis patients, performing behavior analysis, acquiring actions which can be completed and actions which cannot be completed by the analysis patients on the premise that the analysis patients correspond to the threshold number, and marking the actions which can be completed and the actions which cannot be completed by the analysis patients as preset feasible actions and preset infeasible actions respectively; if the number of the preset feasible actions exceeds eighty percent in the threshold number, marking the preset feasible actions as selected feasible actions, otherwise marking the preset feasible actions as invalid selected feasible actions; if the preset number of the non-actionable actions exceeds a percentage of eighty in the threshold number, marking the preset non-actionable actions as selected non-actionable actions, otherwise, marking the preset non-actionable actions as invalid selected non-actionable actions;
analyzing the analysis patient and the corresponding therapeutic instrument, and marking the real-time state of the corresponding analysis patient as an abnormal state when the analysis patient cannot finish selecting the movable action; when the analysis patient can only complete the selected actionable actions but cannot complete the selected non-actionable actions, marking the real-time state of the corresponding analysis patient as a treatment state; when the analysis patient can complete the selected movable action and can complete the selected non-movable action, marking the real-time state of the corresponding analysis patient as a normal state;
marking an analysis patient as i, i is a natural number larger than 1, analyzing a therapeutic instrument used by the analysis patient in an abnormal state, a therapeutic state and a normal state, collecting the potential and the wavelength of the corresponding therapeutic instrument when the analysis patient is converted from the abnormal state to the therapeutic state, respectively marking the potential and the wavelength of the corresponding therapeutic instrument when the analysis patient is converted from the abnormal state to the therapeutic state as first-order potential and first-order wavelength, and respectively setting labels YDwi and YBCi; acquiring first-order potentials and first-order wavelengths of all analysis patients according to the threshold number of the analysis patients, constructing a first-order potential set and a first-order wavelength set, marking a maximum subset and a minimum subset in the first-order potential set as YDWimax and YDWimin, constructing a first-order potential range (YDWimin-YDWimax) according to the maximum subset and the minimum subset in the first-order potential set, marking a maximum subset and a minimum subset in the first-order wavelength set as YBCimax and YBCimin, and constructing a first-order wavelength range (YBCimin-YBCimax) according to the maximum subset and the minimum subset in the first-order potential set;
the method comprises the steps of collecting the potential and the wavelength of a corresponding therapeutic instrument when an analysis patient changes from a therapeutic state to a normal state, marking the potential and the wavelength of the corresponding therapeutic instrument as a second-order potential and a second-order wavelength respectively when the analysis patient changes from the therapeutic state to the normal state, and setting labels EDwi and EBCi respectively; obtaining second-order potential and second-order wavelength of each analysis patient according to the threshold number of the analysis patients, constructing a second-order potential set and a second-order wavelength set, marking a maximum subset and a minimum subset in the second-order potential set as EDWimax and EDWimin, constructing a second-order potential range (EDWimin-EDWimax) according to the maximum subset and the minimum subset in the second-order potential set, marking the maximum subset and the minimum subset in the second-order wavelength set as EBCimax and EBCimin, and constructing a second-order wavelength range (EBCimin-EBCimax) according to the maximum subset and the minimum subset in the second-order wavelength set;
and sending the first-order potential range, the first-order wavelength range, the second-order potential range and the second-order wavelength range to the signal regulation and control unit through the server.
As a preferred embodiment of the present invention, after receiving the first-order potential range, the first-order wavelength range, the second-order potential range and the second-order wavelength range, the signal control unit performs signal control on a patient using the therapeutic apparatus in real time, if the patient using the therapeutic apparatus in real time is in an abnormal state, the first-order potential range and the first-order wavelength range are used as signal control ranges of the therapeutic apparatus, and when the patient is used, the initial potential and the initial wavelength of the therapeutic apparatus are respectively lower limit values of the first-order potential range and the first-order wavelength range; if the patient using the therapeutic apparatus in real time is in a therapeutic state, the second-order potential range and the second-order wavelength range are used as signal adjusting ranges of the therapeutic apparatus, and the initial potential and the initial wavelength of the therapeutic apparatus are respectively lower limit values of the second-order potential range and the second-order wavelength range when the therapeutic apparatus is used by the corresponding patient.
As a preferred embodiment of the present invention, the analysis process of the real-time analysis unit is as follows:
the method comprises the steps of collecting the wave value frequency existing around the real-time operation therapeutic instrument and the numerical fluctuation frequency when the point position of the real-time operation therapeutic instrument is regulated, and comparing the wave value frequency existing around the real-time operation therapeutic instrument and the numerical fluctuation frequency when the point position of the real-time operation therapeutic instrument is regulated with a wave value frequency threshold and a numerical fluctuation frequency threshold respectively:
if the wave value frequency existing around the real-time operation therapeutic instrument is larger than the wave value frequency threshold value and the numerical fluctuation frequency is larger than the numerical fluctuation frequency threshold value when the point position of the real-time operation therapeutic instrument is adjusted, judging that the therapeutic instrument is abnormal in operation, generating a real-time analysis abnormal signal and sending the real-time analysis abnormal signal to a server; if the wave value frequency existing around the real-time operation therapeutic instrument is smaller than the wave value frequency threshold value, and the value fluctuation frequency is smaller than the value fluctuation frequency threshold value when the point position of the real-time operation therapeutic instrument is adjusted, judging that the therapeutic instrument is normal in operation, generating a real-time analysis normal signal and sending the real-time analysis normal signal to the server.
As a preferred embodiment of the present invention, after receiving the real-time analysis abnormal signal, the server generates a real-time regulation signal and transmits the real-time regulation signal to the signal regulation unit, and after receiving the real-time regulation signal, the signal regulation unit sets the potential and the wavelength of the corresponding therapeutic apparatus to be lower limit values of a first-order potential range and a first-order wavelength range, sets a potential increase threshold and a wavelength increase threshold, sequentially increases the potential and the wavelength of the real-time therapeutic apparatus according to the potential increase threshold and the wavelength increase threshold, and pauses the use of the corresponding therapeutic apparatus if the therapeutic apparatus still exists corresponding to the real-time analysis abnormal signal.
As a preferred embodiment of the present invention, the effect detection process of the therapeutic effect detection unit is as follows:
analyzing the effect of the analysis patient who completes the period of the therapeutic apparatus, collecting the frequency of the analysis patient who completes the selected feasible action and the time consumption of the selected infeasible action, and comparing the frequency of the analysis patient who completes the selected feasible action and the time consumption of the selected infeasible action with the threshold of the frequency of the selected feasible action and the threshold of the time consumption of the selected infeasible action respectively:
if the frequency of the patient is analyzed to finish the selecting the feasible actions is larger than the threshold of the frequency of the finishing the selecting the feasible actions, and the time consumption of finishing the selecting the infeasible actions is smaller than the threshold of the time consumption of finishing the selecting the infeasible actions, judging that the corresponding analysis patient is qualified in treatment, generating a treatment detection qualified signal and sending the treatment detection qualified signal and the serial number of the corresponding therapeutic instrument to a server; if the frequency of the patient is analyzed to finish the selection of the feasible actions is smaller than the threshold of the frequency of the finish of the selection of the feasible actions, and the time consumption of the finish of the selection of the non-feasible actions is larger than the threshold of the time consumption of the finish of the selection of the non-feasible actions, judging that the corresponding analysis patient is unqualified in treatment, generating a treatment detection unqualified signal and sending the treatment detection unqualified signal and the serial number of the corresponding therapeutic instrument to a server;
the server is connected with the therapeutic apparatuses corresponding to the therapeutic detection qualified signals and the therapeutic apparatuses corresponding to the therapeutic disqualified signals for analysis, and if the two therapeutic apparatuses are the same in model, the analyzed patient corresponding to the therapeutic disqualified signals is judged to need medical review; if the two therapeutic apparatus models are different, the analyzed patient corresponding to the treatment detection failure signal is judged to need to be subjected to therapeutic apparatus replacement.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the control range of the Alzheimer disease therapeutic apparatus is obtained according to the historical operation, the use of the therapeutic apparatus is well monitored, the accuracy of signal regulation control is enhanced, and the reduction of the therapeutic effect of the therapeutic apparatus caused by improper regulation of the therapeutic apparatus is prevented, so that the therapeutic effect cannot reach the expectations; the real-time analysis is carried out on the therapeutic apparatus used by the analysis patient in real time, so that the treatment efficiency of the analysis patient is reduced due to the abnormality of the therapeutic apparatus in the use process, and the abnormal operation of the therapeutic apparatus due to the abnormality of the therapeutic apparatus is effectively prevented, thereby reducing the service life of the therapeutic apparatus; the treatment effect of the analysis patient is analyzed, so that the real-time treatment efficiency of the analysis patient is judged, and if the treatment efficiency is low, the examination is timely carried out, so that the aggravation of the disease condition of the analysis patient caused by time delay is prevented.
2. According to the invention, the therapeutic instrument is regulated and controlled, so that the therapeutic efficiency of a patient is effectively improved, the occurrence of risks is prevented, and meanwhile, the regulation range of the therapeutic instrument corresponding to the patient is judged through analysis, so that the signal regulation accuracy of the therapeutic instrument is improved.
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The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
Fig. 1 is a functional block diagram of the present invention.
Description of the embodiments
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the high-potential ultrashort wave signal regulation control system for the alzheimer disease therapeutic apparatus comprises a regulation control platform, wherein a server is arranged in the regulation control platform, and the server is in communication connection with an influence data acquisition unit, a real-time analysis unit, a signal regulation and control unit and a therapeutic effect detection unit.
The regulation control platform is used for regulating and controlling the shortwave signals of the Alzheimer's disease therapeutic instrument, the server generates an influence data acquisition signal and transmits the influence data acquisition signal to the influence data acquisition unit, the influence data acquisition unit is used for analyzing the historical operation of the Alzheimer's disease therapeutic instrument, the control range of the Alzheimer's disease therapeutic instrument is acquired according to the historical operation, the use of the therapeutic instrument is well monitored, the accuracy of signal regulation control is enhanced, the reduction of the therapeutic effect of the therapeutic instrument caused by improper regulation of the therapeutic instrument is prevented, the therapeutic effect cannot reach expectations, and the specific data acquisition process is as follows:
analyzing the Alzheimer's disease patient and marking the patient as an analyzed patient; according to the threshold number of analysis patients, performing behavior analysis, acquiring actions which can be completed and actions which cannot be completed by the analysis patients on the premise that the analysis patients correspond to the threshold number, and marking the actions which can be completed and the actions which cannot be completed by the analysis patients as preset feasible actions and preset infeasible actions respectively; if the number of the preset feasible actions exceeds eighty percent in the threshold number, marking the preset feasible actions as selected feasible actions, otherwise marking the preset feasible actions as invalid selected feasible actions; if the preset number of the non-actionable actions exceeds a percentage of eighty in the threshold number, marking the preset non-actionable actions as selected non-actionable actions, otherwise, marking the preset non-actionable actions as invalid selected non-actionable actions; the actions which can be completed and the actions which cannot be completed are expressed as actions which can be completed and cannot be completed by the Alzheimer's disease patient, and the actions are mainly used for representing the real-time state of the patient, and can be normal behavior actions such as bending legs, lifting hands, memorizing in real time and the like.
Analyzing the analysis patient and the corresponding therapeutic instrument, and marking the real-time state of the corresponding analysis patient as an abnormal state when the analysis patient cannot finish selecting the movable action; when the analysis patient can only complete the selected actionable actions but cannot complete the selected non-actionable actions, marking the real-time state of the corresponding analysis patient as a treatment state; when an analysis patient is able to complete a selected actionable action and is able to complete a selected non-actionable action, the real-time status of the corresponding analysis patient is marked as normal.
Marking an analysis patient as i, i is a natural number larger than 1, analyzing a therapeutic instrument used by the analysis patient in an abnormal state, a therapeutic state and a normal state, collecting the potential and the wavelength of the corresponding therapeutic instrument when the analysis patient is converted from the abnormal state to the therapeutic state, respectively marking the potential and the wavelength of the corresponding therapeutic instrument when the analysis patient is converted from the abnormal state to the therapeutic state as first-order potential and first-order wavelength, and respectively setting labels YDwi and YBCi; first order potentials and first order wavelengths of all analysis patients are obtained according to threshold values of the analysis patients, a first order potential set and a first order wavelength set are built, the largest subset and the smallest subset in the first order potential set are marked as YDWimax and YDWimin, a first order potential range (YDWimin-YDWimax) is built according to the largest subset and the smallest subset in the first order potential set, the largest subset and the smallest subset in the first order wavelength set are marked as YBCimax and YBCimin, and a first order wavelength range (YBCimin-YBCimax) is built according to the largest subset and the smallest subset in the first order wavelength set.
The method comprises the steps of collecting the potential and the wavelength of a corresponding therapeutic instrument when an analysis patient changes from a therapeutic state to a normal state, marking the potential and the wavelength of the corresponding therapeutic instrument as a second-order potential and a second-order wavelength respectively when the analysis patient changes from the therapeutic state to the normal state, and setting labels EDwi and EBCi respectively; obtaining second-order potential and second-order wavelength of each analysis patient according to the threshold number of the analysis patients, constructing a second-order potential set and a second-order wavelength set, marking a maximum subset and a minimum subset in the second-order potential set as EDWimax and EDWimin, constructing a second-order potential range (EDWimin-EDWimax) according to the maximum subset and the minimum subset in the second-order potential set, marking the maximum subset and the minimum subset in the second-order wavelength set as EBCimax and EBCimin, and constructing a second-order wavelength range (EBCimin-EBCimax) according to the maximum subset and the minimum subset in the second-order wavelength set;
and sending the first-order potential range, the first-order wavelength range, the second-order potential range and the second-order wavelength range to the signal regulation and control unit through the server.
After receiving the first-order potential range, the first-order wavelength range, the second-order potential range and the second-order wavelength range, the signal regulating and controlling unit regulates and controls signals of a patient using the therapeutic apparatus in real time, if the patient using the therapeutic apparatus in real time is in an abnormal state, the first-order potential range and the first-order wavelength range are used as signal regulating ranges of the therapeutic apparatus, and the initial potential and the initial wavelength of the therapeutic apparatus are respectively lower limit values of the first-order potential range and the first-order wavelength range when the therapeutic apparatus is used by the corresponding patient; if the patient using the therapeutic apparatus in real time is in a therapeutic state, the second-order potential range and the second-order wavelength range are used as signal adjusting ranges of the therapeutic apparatus, and the initial potential and the initial wavelength of the therapeutic apparatus are respectively lower limit values of the second-order potential range and the second-order wavelength range when the therapeutic apparatus is used by the corresponding patient.
After the analysis patient uses the therapeutic apparatus, a real-time analysis signal is generated and sent to the real-time analysis unit, the real-time analysis unit is used for carrying out real-time analysis on the therapeutic apparatus used by the analysis patient in real time, so that the treatment efficiency of the analysis patient is reduced due to the abnormality of the therapeutic apparatus in the use process, and the abnormal operation of the instrument due to the abnormality of the therapeutic apparatus is effectively prevented, thereby reducing the service life of the instrument, and the specific analysis process is as follows:
the method comprises the steps of collecting the wave value frequency existing around the real-time operation therapeutic instrument and the numerical fluctuation frequency when the point position of the real-time operation therapeutic instrument is regulated, and comparing the wave value frequency existing around the real-time operation therapeutic instrument and the numerical fluctuation frequency when the point position of the real-time operation therapeutic instrument is regulated with a wave value frequency threshold and a numerical fluctuation frequency threshold respectively:
if the wave value frequency existing around the real-time operation therapeutic instrument is larger than the wave value frequency threshold value and the numerical fluctuation frequency is larger than the numerical fluctuation frequency threshold value when the point position of the real-time operation therapeutic instrument is adjusted, judging that the therapeutic instrument is abnormal in operation, generating a real-time analysis abnormal signal and sending the real-time analysis abnormal signal to a server; if the wave value frequency existing around the real-time operation therapeutic instrument is smaller than the wave value frequency threshold value, and the value fluctuation frequency is smaller than the value fluctuation frequency threshold value when the point position of the real-time operation therapeutic instrument is adjusted, judging that the therapeutic instrument is normal in operation, generating a real-time analysis normal signal and sending the real-time analysis normal signal to the server.
After the server receives the real-time analysis abnormal signals, a real-time regulation signal is generated and sent to the signal regulation and control unit, after the signal regulation and control unit receives the real-time regulation and control signals, the potential and the wavelength of the corresponding therapeutic instrument are respectively set to be lower limit values of a first-order potential range and a first-order wavelength range, a potential increase threshold and a wavelength increase threshold are set, the potential and the wavelength of the real-time therapeutic instrument are gradually increased according to the potential increase threshold and the wavelength increase threshold, and if the therapeutic instrument still exists corresponding to the real-time analysis abnormal signals, the use of the corresponding therapeutic instrument is suspended.
The server generates a treatment effect detection signal and sends the treatment effect detection signal to the treatment effect detection unit, and the treatment effect detection unit is used for analyzing the treatment effect of the analysis patient so as to judge the real-time treatment efficiency of the analysis patient, and if the treatment efficiency is low, the real-time recheck is performed in time to prevent the aggravation of the illness state of the analysis patient caused by time delay, and the specific effect detection process is as follows:
analyzing the effect of the analysis patient who completes the period of the therapeutic apparatus, collecting the frequency of the analysis patient who completes the selected feasible action and the time consumption of the selected infeasible action, and comparing the frequency of the analysis patient who completes the selected feasible action and the time consumption of the selected infeasible action with the threshold of the frequency of the selected feasible action and the threshold of the time consumption of the selected infeasible action respectively:
if the frequency of the patient is analyzed to finish the selecting the feasible actions is larger than the threshold of the frequency of the finishing the selecting the feasible actions, and the time consumption of finishing the selecting the infeasible actions is smaller than the threshold of the time consumption of finishing the selecting the infeasible actions, judging that the corresponding analysis patient is qualified in treatment, generating a treatment detection qualified signal and sending the treatment detection qualified signal and the serial number of the corresponding therapeutic instrument to a server;
if the frequency of the patient is analyzed to finish the selection of the feasible actions is smaller than the threshold of the frequency of the finish of the selection of the feasible actions, and the time consumption of the finish of the selection of the non-feasible actions is larger than the threshold of the time consumption of the finish of the selection of the non-feasible actions, and judging that the corresponding analysis patient is unqualified in treatment, generating a treatment detection unqualified signal, and sending the treatment detection unqualified signal and the serial number of the corresponding therapeutic instrument to the server.
The server is connected with the therapeutic apparatuses corresponding to the therapeutic detection qualified signals and the therapeutic apparatuses corresponding to the therapeutic disqualified signals for analysis, and if the two therapeutic apparatuses are the same in model, the analyzed patient corresponding to the therapeutic disqualified signals is judged to need medical review; if the two therapeutic apparatus models are different, the analyzed patient corresponding to the treatment detection failure signal is judged to need to be subjected to therapeutic apparatus replacement.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions.
When the Alzheimer's disease therapeutic apparatus is used, the short wave signals of the Alzheimer's disease therapeutic apparatus are regulated and controlled through the regulating and controlling platform, the server generates influence data acquisition signals and sends the influence data acquisition signals to the influence data acquisition unit, and the influence data acquisition unit analyzes the historical operation of the Alzheimer's disease therapeutic apparatus; the signal regulation and control unit is used for carrying out signal regulation and control on a patient using the therapeutic apparatus in real time; after analyzing the patient for using the therapeutic apparatus, generating a real-time analysis signal and sending the real-time analysis signal to a real-time analysis unit, and performing real-time analysis on the therapeutic apparatus used by the patient in real time through the real-time analysis unit; the server generates a treatment effect detection signal and transmits the treatment effect detection signal to a treatment effect detection unit, and the treatment effect detection unit analyzes the treatment effect of the analysis patient.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (2)
1. The high-potential ultrashort wave signal regulation control system for the Alzheimer disease therapeutic apparatus is characterized by comprising a regulation control platform, wherein a server is arranged in the regulation control platform, and the server is in communication connection with an influence data acquisition unit, a real-time analysis unit, a signal regulation and control unit and a therapeutic effect detection unit;
the regulation control platform is used for regulating and controlling short wave signals of the Alzheimer's disease therapeutic apparatus, the server generates influence data acquisition signals and sends the influence data acquisition signals to the influence data acquisition unit, and the influence data acquisition unit analyzes the historical operation of the Alzheimer's disease therapeutic apparatus; generating a first-order potential range, a first-order wavelength range, a second-order potential range and a second-order wavelength range through analysis; the signal regulation and control unit is used for carrying out signal regulation and control on a patient using the therapeutic apparatus in real time; after analyzing the patient for using the therapeutic apparatus, generating a real-time analysis signal and sending the real-time analysis signal to a real-time analysis unit, and performing real-time analysis on the therapeutic apparatus used by the patient in real time through the real-time analysis unit; the server generates a treatment effect detection signal and sends the treatment effect detection signal to a treatment effect detection unit, and the treatment effect detection unit analyzes the treatment effect of the analysis patient;
the data acquisition process affecting the data acquisition unit is as follows:
analyzing the Alzheimer's disease patient and marking the patient as an analyzed patient; according to the threshold number of analysis patients, performing behavior analysis, acquiring actions which can be completed and actions which cannot be completed by the analysis patients on the premise that the analysis patients correspond to the threshold number, and marking the actions which can be completed and the actions which cannot be completed by the analysis patients as preset feasible actions and preset infeasible actions respectively; if the number of the preset feasible actions exceeds eighty percent in the threshold number, marking the preset feasible actions as selected feasible actions, otherwise marking the preset feasible actions as invalid selected feasible actions; if the preset number of the non-actionable actions exceeds a percentage of eighty in the threshold number, marking the preset non-actionable actions as selected non-actionable actions, otherwise, marking the preset non-actionable actions as invalid selected non-actionable actions;
analyzing the analysis patient and the corresponding therapeutic instrument, and marking the real-time state of the corresponding analysis patient as an abnormal state when the analysis patient cannot finish selecting the movable action; when the analysis patient can only complete the selected actionable actions but cannot complete the selected non-actionable actions, marking the real-time state of the corresponding analysis patient as a treatment state; when the analysis patient can complete the selected movable action and can complete the selected non-movable action, marking the real-time state of the corresponding analysis patient as a normal state;
marking an analysis patient as i, i is a natural number larger than 1, analyzing a therapeutic instrument used by the analysis patient in an abnormal state, a therapeutic state and a normal state, collecting the potential and the wavelength of the corresponding therapeutic instrument when the analysis patient is converted from the abnormal state to the therapeutic state, respectively marking the potential and the wavelength of the corresponding therapeutic instrument when the analysis patient is converted from the abnormal state to the therapeutic state as first-order potential and first-order wavelength, and respectively setting labels YDwi and YBCi; acquiring first-order potentials and first-order wavelengths of all analysis patients according to the threshold number of the analysis patients, constructing a first-order potential set and a first-order wavelength set, marking a maximum subset and a minimum subset in the first-order potential set as YDWimax and YDWimin, constructing a first-order potential range (YDWimin-YDWimax) according to the maximum subset and the minimum subset in the first-order potential set, marking a maximum subset and a minimum subset in the first-order wavelength set as YBCimax and YBCimin, and constructing a first-order wavelength range (YBCimin-YBCimax) according to the maximum subset and the minimum subset in the first-order potential set;
the method comprises the steps of collecting the potential and the wavelength of a corresponding therapeutic instrument when an analysis patient changes from a therapeutic state to a normal state, marking the potential and the wavelength of the corresponding therapeutic instrument as a second-order potential and a second-order wavelength respectively when the analysis patient changes from the therapeutic state to the normal state, and setting labels EDwi and EBCi respectively; obtaining second-order potential and second-order wavelength of each analysis patient according to the threshold number of the analysis patients, constructing a second-order potential set and a second-order wavelength set, marking a maximum subset and a minimum subset in the second-order potential set as EDWimax and EDWimin, constructing a second-order potential range (EDWimin-EDWimax) according to the maximum subset and the minimum subset in the second-order potential set, marking the maximum subset and the minimum subset in the second-order wavelength set as EBCimax and EBCimin, and constructing a second-order wavelength range (EBCimin-EBCimax) according to the maximum subset and the minimum subset in the second-order wavelength set;
transmitting the first-order potential range, the first-order wavelength range, the second-order potential range and the second-order wavelength range to a signal regulation and control unit through a server;
after receiving the first-order potential range, the first-order wavelength range, the second-order potential range and the second-order wavelength range, the signal regulating and controlling unit regulates and controls signals of a patient using the therapeutic apparatus in real time, if the patient using the therapeutic apparatus in real time is in an abnormal state, the first-order potential range and the first-order wavelength range are used as signal regulating ranges of the therapeutic apparatus, and the initial potential and the initial wavelength of the therapeutic apparatus are respectively lower limit values of the first-order potential range and the first-order wavelength range when the therapeutic apparatus is used by the corresponding patient; if the patient using the therapeutic apparatus in real time is in a therapeutic state, the second-order potential range and the second-order wavelength range are used as signal adjusting ranges of the therapeutic apparatus, and the initial potential and the initial wavelength of the therapeutic apparatus are respectively lower limit values of the second-order potential range and the second-order wavelength range when the therapeutic apparatus is used by the corresponding patient;
the analysis process of the real-time analysis unit is as follows:
the method comprises the steps of collecting the wave value frequency existing around the real-time operation therapeutic instrument and the numerical fluctuation frequency when the point position of the real-time operation therapeutic instrument is regulated, and comparing the wave value frequency existing around the real-time operation therapeutic instrument and the numerical fluctuation frequency when the point position of the real-time operation therapeutic instrument is regulated with a wave value frequency threshold and a numerical fluctuation frequency threshold respectively:
if the wave value frequency existing around the real-time operation therapeutic instrument is larger than the wave value frequency threshold value and the numerical fluctuation frequency is larger than the numerical fluctuation frequency threshold value when the point position of the real-time operation therapeutic instrument is adjusted, judging that the therapeutic instrument is abnormal in operation, generating a real-time analysis abnormal signal and sending the real-time analysis abnormal signal to a server; if the wave value frequency existing around the real-time operation therapeutic instrument is smaller than the wave value frequency threshold value and the numerical fluctuation frequency is smaller than the numerical fluctuation frequency threshold value when the point position of the real-time operation therapeutic instrument is adjusted, judging that the therapeutic instrument is normal in operation, generating a real-time analysis normal signal and sending the real-time analysis normal signal to a server;
after the server receives the real-time analysis abnormal signals, a real-time regulation signal is generated and sent to the signal regulation and control unit, after the signal regulation and control unit receives the real-time regulation and control signals, the potential and the wavelength of the corresponding therapeutic instrument are respectively set to be lower limit values of a first-order potential range and a first-order wavelength range, a potential increase threshold and a wavelength increase threshold are set, the potential and the wavelength of the real-time therapeutic instrument are gradually increased according to the potential increase threshold and the wavelength increase threshold, and if the therapeutic instrument still exists corresponding to the real-time analysis abnormal signals, the use of the corresponding therapeutic instrument is suspended.
2. The high-potential ultrashort wave signal regulation control system for an alzheimer's disease therapeutic apparatus according to claim 1, wherein the effect detection process of the treatment effect detection unit is as follows:
analyzing the effect of the analysis patient who completes the period of the therapeutic apparatus, collecting the frequency of the analysis patient who completes the selected feasible action and the time consumption of the selected infeasible action, and comparing the frequency of the analysis patient who completes the selected feasible action and the time consumption of the selected infeasible action with the threshold of the frequency of the selected feasible action and the threshold of the time consumption of the selected infeasible action respectively:
if the frequency of the patient is analyzed to finish the selecting the feasible actions is larger than the threshold of the frequency of the finishing the selecting the feasible actions, and the time consumption of finishing the selecting the infeasible actions is smaller than the threshold of the time consumption of finishing the selecting the infeasible actions, judging that the corresponding analysis patient is qualified in treatment, generating a treatment detection qualified signal and sending the treatment detection qualified signal and the serial number of the corresponding therapeutic instrument to a server; if the frequency of the patient is analyzed to finish the selection of the feasible actions is smaller than the threshold of the frequency of the finish of the selection of the feasible actions, and the time consumption of the finish of the selection of the non-feasible actions is larger than the threshold of the time consumption of the finish of the selection of the non-feasible actions, judging that the corresponding analysis patient is unqualified in treatment, generating a treatment detection unqualified signal and sending the treatment detection unqualified signal and the serial number of the corresponding therapeutic instrument to a server;
the server is connected with the therapeutic apparatuses corresponding to the therapeutic detection qualified signals and the therapeutic apparatuses corresponding to the therapeutic disqualified signals for analysis, and if the two therapeutic apparatuses are the same in model, the analyzed patient corresponding to the therapeutic disqualified signals is judged to need medical review; if the two therapeutic apparatus models are different, the analyzed patient corresponding to the treatment detection failure signal is judged to need to be subjected to therapeutic apparatus replacement.
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