CN112515641A - Diabetes therapeutic apparatus and treatment method thereof - Google Patents
Diabetes therapeutic apparatus and treatment method thereof Download PDFInfo
- Publication number
- CN112515641A CN112515641A CN202011279830.4A CN202011279830A CN112515641A CN 112515641 A CN112515641 A CN 112515641A CN 202011279830 A CN202011279830 A CN 202011279830A CN 112515641 A CN112515641 A CN 112515641A
- Authority
- CN
- China
- Prior art keywords
- module
- patient
- information
- acquisition module
- medical record
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 55
- 206010012601 diabetes mellitus Diseases 0.000 title claims abstract description 51
- 230000001225 therapeutic effect Effects 0.000 title claims description 12
- 210000004556 brain Anatomy 0.000 claims abstract description 50
- 230000008569 process Effects 0.000 claims abstract description 36
- 230000008054 signal transmission Effects 0.000 claims abstract description 18
- 201000010099 disease Diseases 0.000 claims abstract description 15
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 15
- 238000003745 diagnosis Methods 0.000 claims abstract description 14
- 238000001467 acupuncture Methods 0.000 claims abstract description 8
- 230000036760 body temperature Effects 0.000 claims abstract description 8
- 238000007906 compression Methods 0.000 claims description 10
- 238000000354 decomposition reaction Methods 0.000 claims description 10
- 230000005540 biological transmission Effects 0.000 claims description 7
- 239000003814 drug Substances 0.000 claims description 7
- 238000003958 fumigation Methods 0.000 claims description 7
- 238000002560 therapeutic procedure Methods 0.000 claims description 7
- 238000004891 communication Methods 0.000 claims description 6
- 230000006835 compression Effects 0.000 claims description 6
- 238000013139 quantization Methods 0.000 claims description 6
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 230000006870 function Effects 0.000 claims description 3
- 230000009466 transformation Effects 0.000 claims description 3
- 238000004590 computer program Methods 0.000 claims description 2
- WQZGKKKJIJFFOK-GASJEMHNSA-N Glucose Natural products OC[C@H]1OC(O)[C@H](O)[C@@H](O)[C@@H]1O WQZGKKKJIJFFOK-GASJEMHNSA-N 0.000 description 13
- 239000008103 glucose Substances 0.000 description 13
- 239000008280 blood Substances 0.000 description 11
- 210000004369 blood Anatomy 0.000 description 11
- NOESYZHRGYRDHS-UHFFFAOYSA-N insulin Chemical compound N1C(=O)C(NC(=O)C(CCC(N)=O)NC(=O)C(CCC(O)=O)NC(=O)C(C(C)C)NC(=O)C(NC(=O)CN)C(C)CC)CSSCC(C(NC(CO)C(=O)NC(CC(C)C)C(=O)NC(CC=2C=CC(O)=CC=2)C(=O)NC(CCC(N)=O)C(=O)NC(CC(C)C)C(=O)NC(CCC(O)=O)C(=O)NC(CC(N)=O)C(=O)NC(CC=2C=CC(O)=CC=2)C(=O)NC(CSSCC(NC(=O)C(C(C)C)NC(=O)C(CC(C)C)NC(=O)C(CC=2C=CC(O)=CC=2)NC(=O)C(CC(C)C)NC(=O)C(C)NC(=O)C(CCC(O)=O)NC(=O)C(C(C)C)NC(=O)C(CC(C)C)NC(=O)C(CC=2NC=NC=2)NC(=O)C(CO)NC(=O)CNC2=O)C(=O)NCC(=O)NC(CCC(O)=O)C(=O)NC(CCCNC(N)=N)C(=O)NCC(=O)NC(CC=3C=CC=CC=3)C(=O)NC(CC=3C=CC=CC=3)C(=O)NC(CC=3C=CC(O)=CC=3)C(=O)NC(C(C)O)C(=O)N3C(CCC3)C(=O)NC(CCCCN)C(=O)NC(C)C(O)=O)C(=O)NC(CC(N)=O)C(O)=O)=O)NC(=O)C(C(C)CC)NC(=O)C(CO)NC(=O)C(C(C)O)NC(=O)C1CSSCC2NC(=O)C(CC(C)C)NC(=O)C(NC(=O)C(CCC(N)=O)NC(=O)C(CC(N)=O)NC(=O)C(NC(=O)C(N)CC=1C=CC=CC=1)C(C)C)CC1=CN=CN1 NOESYZHRGYRDHS-UHFFFAOYSA-N 0.000 description 8
- 230000037406 food intake Effects 0.000 description 7
- 201000001421 hyperglycemia Diseases 0.000 description 6
- 210000002700 urine Anatomy 0.000 description 6
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 description 4
- 102000004877 Insulin Human genes 0.000 description 4
- 108090001061 Insulin Proteins 0.000 description 4
- 208000004880 Polyuria Diseases 0.000 description 4
- 229940125396 insulin Drugs 0.000 description 4
- 230000003204 osmotic effect Effects 0.000 description 4
- 230000008859 change Effects 0.000 description 3
- 230000004438 eyesight Effects 0.000 description 3
- 208000030159 metabolic disease Diseases 0.000 description 3
- 206010036067 polydipsia Diseases 0.000 description 3
- 208000016261 weight loss Diseases 0.000 description 3
- 230000004580 weight loss Effects 0.000 description 3
- 206010014418 Electrolyte imbalance Diseases 0.000 description 2
- 206010020710 Hyperphagia Diseases 0.000 description 2
- 230000001154 acute effect Effects 0.000 description 2
- 230000008901 benefit Effects 0.000 description 2
- 230000001684 chronic effect Effects 0.000 description 2
- 230000018044 dehydration Effects 0.000 description 2
- 238000006297 dehydration reaction Methods 0.000 description 2
- 230000035619 diuresis Effects 0.000 description 2
- 210000003701 histiocyte Anatomy 0.000 description 2
- 235000003642 hunger Nutrition 0.000 description 2
- 230000001771 impaired effect Effects 0.000 description 2
- 229910052757 nitrogen Inorganic materials 0.000 description 2
- 208000022530 polyphagia Diseases 0.000 description 2
- 230000035922 thirst Effects 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 208000032841 Bulimia Diseases 0.000 description 1
- 206010006550 Bulimia nervosa Diseases 0.000 description 1
- 206010006895 Cachexia Diseases 0.000 description 1
- 206010010071 Coma Diseases 0.000 description 1
- 206010023379 Ketoacidosis Diseases 0.000 description 1
- 208000007976 Ketosis Diseases 0.000 description 1
- 206010024642 Listless Diseases 0.000 description 1
- 206010067584 Type 1 diabetes mellitus Diseases 0.000 description 1
- 206010047513 Vision blurred Diseases 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000036528 appetite Effects 0.000 description 1
- 235000019789 appetite Nutrition 0.000 description 1
- 210000000748 cardiovascular system Anatomy 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 208000016097 disease of metabolism Diseases 0.000 description 1
- 230000004064 dysfunction Effects 0.000 description 1
- 230000002526 effect on cardiovascular system Effects 0.000 description 1
- 208000026500 emaciation Diseases 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 210000001508 eye Anatomy 0.000 description 1
- 235000012631 food intake Nutrition 0.000 description 1
- 239000012634 fragment Substances 0.000 description 1
- 230000002727 hyperosmolar Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003914 insulin secretion Effects 0.000 description 1
- 230000003834 intracellular effect Effects 0.000 description 1
- 210000003734 kidney Anatomy 0.000 description 1
- 208000017169 kidney disease Diseases 0.000 description 1
- 208000017971 listlessness Diseases 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000002503 metabolic effect Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 210000000653 nervous system Anatomy 0.000 description 1
- 210000000056 organ Anatomy 0.000 description 1
- 230000002085 persistent effect Effects 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 102000004169 proteins and genes Human genes 0.000 description 1
- 108090000623 proteins and genes Proteins 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000036186 satiety Effects 0.000 description 1
- 230000035807 sensation Effects 0.000 description 1
- 235000019615 sensations Nutrition 0.000 description 1
- 230000004936 stimulating effect Effects 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
- 230000009885 systemic effect Effects 0.000 description 1
- 210000005239 tubule Anatomy 0.000 description 1
- 208000001072 type 2 diabetes mellitus Diseases 0.000 description 1
- 230000002485 urinary effect Effects 0.000 description 1
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61H—PHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING OR STIMULATING REFLEX POINTS IN THE BODY; ARTIFICIAL RESPIRATION; MASSAGE; BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSES OR SPECIFIC PARTS OF THE BODY
- A61H33/00—Bathing devices for special therapeutic or hygienic purposes
- A61H33/06—Artificial hot-air or cold-air baths; Steam or gas baths or douches, e.g. sauna or Finnish baths
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
- A61N1/00—Electrotherapy; Circuits therefor
- A61N1/18—Applying electric currents by contact electrodes
- A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
- A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
- A61N1/36014—External stimulators, e.g. with patch electrodes
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
- A61N5/00—Radiation therapy
- A61N5/06—Radiation therapy using light
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
- A61N5/00—Radiation therapy
- A61N5/06—Radiation therapy using light
- A61N2005/0658—Radiation therapy using light characterised by the wavelength of light used
- A61N2005/0659—Radiation therapy using light characterised by the wavelength of light used infrared
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Animal Behavior & Ethology (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Veterinary Medicine (AREA)
- Heart & Thoracic Surgery (AREA)
- Pathology (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
- Cardiology (AREA)
- Surgery (AREA)
- Medical Informatics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Physiology (AREA)
- Physics & Mathematics (AREA)
- Physical Education & Sports Medicine (AREA)
- Rehabilitation Therapy (AREA)
- Pain & Pain Management (AREA)
- Epidemiology (AREA)
- Pulmonology (AREA)
- Radiation-Therapy Devices (AREA)
Abstract
The invention belongs to the technical field of diabetes treatment, and discloses a diabetes treatment instrument and a treatment method thereof, wherein the diabetes treatment instrument comprises: the medical record system comprises a patient medical record acquisition module, a brain wave acquisition module, a pulse information acquisition module, a temperature acquisition module, a display module, a central control module, a wireless signal transmission module, a cloud service module, a data processing module, a disease condition diagnosis module, an acupuncture point treatment module and a red light treatment module. The patient medical record acquisition module acquires the early-stage illness state of the patient through the information input equipment; the brain wave acquisition module acquires the brain waves of the patient through the brain wave collector; the pulse information acquisition module acquires the pulse information of the patient through a pulse sensor; the temperature acquisition module detects the body temperature of the patient through the temperature sensor. In the process of treating diabetes, all parameters of the body of a patient can be comprehensively detected, and reliable data support is provided for treating diabetes.
Description
Technical Field
The invention belongs to the technical field of diabetes treatment, and particularly relates to a diabetes treatment instrument and a treatment method thereof.
Background
Currently, diabetes is a metabolic disease characterized by hyperglycemia due to defective insulin secretion or impaired insulin action. Persistent hyperglycemia and long-term metabolic disorders, among others, can lead to damage to and dysfunction and failure of systemic tissues and organs, particularly the eye, kidney, cardiovascular and nervous systems. Serious patients can cause acute complications of ketoacidosis and hyperosmolar coma, such as dehydration, electrolyte disturbance and acid-base balance disturbance. The symptoms of diabetes can be divided into two main categories: one large group is the manifestations associated with metabolic disorders, especially "three more or one less" associated with hyperglycemia, most commonly seen in type 1 diabetes, type 2 diabetes often is not very obvious or only partially manifested, and the other large group is the manifestations of various acute and chronic complications. The polyuria is caused by that the blood sugar is too high and exceeds the renal threshold (8.89-10.0 mmol/L), glucose filtered out by glomeruli cannot be completely reabsorbed by renal tubules to form osmotic diuresis, the higher the blood sugar is, the more urine sugar is excreted, the more urine is, the urine volume can reach 5000-10000 ml in 24h, but the higher the blood sugar is, the more urine is, the urine volume can reach 5000-10000 ml in the elderly and patients with kidney diseases, the renal threshold is higher, the urinary sugar is excreted obstacle, and the polyuria can be not obvious when the blood sugar is slightly and moderately higher. Polydipsia is mainly due to the fact that hyperglycemia obviously increases plasma osmotic pressure, and in addition, diuresis and excessive water loss occur, intracellular dehydration occurs, hyperglycemia is aggravated, plasma osmotic pressure is further obviously increased, thirst center is stimulated, thirst is caused, polydipsia is caused, and polydipsia is further aggravated. The polyphagia mechanism is not clear, most scholars tend to be caused by the reduction of glucose utilization rate (glucose concentration difference in arteriovenous blood before and after passing in and out of histiocytes), the glucose concentration difference in arteriovenous blood is reduced when normal people have a fasting state, the ingestion center is stimulated to generate hunger sensation, the blood glucose is increased after ingestion, the concentration difference in arteriovenous blood is increased (more than 0.829mmoL/L), the ingestion center is inhibited, the satiety center is excited, the ingestion requirement disappears, however, because the absolute or relative lack of insulin or the tissue is not sensitive to insulin, the capability of tissue ingestion and utilization of glucose is reduced, although the blood glucose is at a high level, the glucose concentration difference in arteriovenous blood is small, the histiocytes are actually in a 'state', thereby stimulating the ingestion center to cause hunger and polyphagia, in addition, the organism can not fully utilize the glucose, and a large amount of the glucose is excreted from urine, therefore, the body is actually in a semi-hungry state, and energy deficiency also causes bulimia. Weight loss, even if appetite and food intake of the diabetic are normal or increased, the weight loss is mainly caused by absolute or relative lack of insulin, the body can not fully utilize glucose to generate energy, fat and protein decomposition is strengthened, excessive consumption is realized, negative nitrogen balance is realized, the weight is gradually reduced, even emaciation is realized, once the diabetes is reasonably treated, the weight loss can be controlled and even increased, for example, the weight of the diabetic continuously reduces or obviously emaciates in the treatment process, and the condition that the metabolic control is poor or other chronic consumptive diseases are possibly combined is suggested. Debilitation is also common in diabetic patients, who feel general debilitation and listlessness due to the inability of glucose to be fully oxidized, i.e., the inability of the body to fully utilize glucose and efficiently release energy, loss of tissue water, electrolyte imbalance, negative nitrogen balance, etc. The eyesight of many diabetics is reduced, and the impaired vision or the blurred vision are mainly complained when the diabetics visit the early stage, which is mainly caused by the change of the lens osmotic pressure caused by hyperglycemia and the change of the diopter of the lens, the early stage generally belongs to functional change, and once the blood sugar is well controlled, the eyesight can be quickly recovered to be normal. In order to treat diabetes, the diabetes therapeutic apparatus plays a key role. However, the existing diabetes therapeutic apparatus can only provide single data reference for patients in the using process, and cannot provide reliable data reference, so that the treatment safety is reduced. Meanwhile, the existing diabetes therapeutic apparatus cannot treat patients in various ways in the using process.
Through the above analysis, the problems and defects of the prior art are as follows:
(1) the existing diabetes therapeutic apparatus can only provide single data reference for patients in the using process, and cannot provide reliable data reference, so that the treatment safety is reduced.
(2) The existing diabetes therapeutic apparatus can not treat patients in various ways in the using process.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a diabetes therapeutic apparatus and a treatment method thereof.
The invention is realized in such a way, and the treatment method of the diabetes treatment instrument comprises the following steps:
step one, a patient medical record acquisition module acquires early illness states of a patient through information input equipment; the brain wave acquisition module acquires the brain waves of the patient through the brain wave collector;
patient's case history acquisition module passes through information input equipment, acquires the in-process to the state of an illness of patient's earlier stage, and the information input equipment who utilizes includes: a camera, a scanner; the camera acquires an image of case information and scans the case information through the scanner;
the patient medical record acquisition module acquires an image by using a camera, and processes the image, wherein the process comprises the following steps: image compression, enhancement, restoration, matching, description and recognition;
the image compression process comprises the following steps:
arranging the acquired patient medical record photo information according to the sequence of the information source symbol frequency from small to large;
combining and adding two minimum information source symbol frequencies in medical record picture information;
continuously carrying out the combined addition of two minimum information source symbol frequencies in the medical record picture information, and always putting a higher probability branch to the upper part until the probability reaches 1;
assigning 1 to the upper frequency and 0 to the lower frequency in each pair of source symbol frequency combinations; or, the upper frequency in each pair of source symbol frequency combination is assigned as 0, and the lower frequency is assigned as 1;
drawing a path with the probability of 1.0 of reaching each source symbol, and recording each 1 and 0 encountered along the path;
writing 1 and 0 sequences for each information source symbol, completing the compression of the image and obtaining a compressed medical record picture;
secondly, the pulse information acquisition module acquires the pulse information of the patient through a pulse sensor; the temperature acquisition module detects the body temperature of a patient through a temperature sensor;
thirdly, the central control module is respectively connected with the patient medical record acquisition module, the brain wave acquisition module, the pulse information acquisition module, the temperature acquisition module, the display module, the wireless signal transmission module, the data processing module, the illness state diagnosis module, the acupuncture point treatment module and the red light treatment module, and the normal operation of each module is coordinated;
step four, the data processing module processes the acquired information through a data processing program; the disease condition diagnosis module diagnoses the disease condition of the patient through a diabetes diagnosis program; the acupoint treatment module treats the patient through traditional Chinese medicine fumigation and electric pulse; the red light treatment module performs laser irradiation on the patient by using a red light treatment instrument;
step five, the display module is used for displaying corresponding information through a display; the wireless signal transmission module is connected with the cloud server through communication equipment to realize data transmission; and the cloud server is used for processing the data.
Further, in the first step, the image enhancement process is as follows:
establishing a corresponding denoising set for the acquired patient medical record image, and identifying and extracting an image segment containing noise;
determining a neighborhood on the image segment containing the noise as a template, wherein the template comprises adjacent pixels around the neighborhood;
the image enhancement is achieved by replacing the original pixel values with the average value of all pixels in the template.
Further, in the first step, the image matching process is as follows:
extracting characteristic information of the image from the enhanced medical record image;
generating a feature descriptor for the extracted image feature information;
and matching the characteristics of the two images according to the similarity of the descriptors.
Further, in the first step, the brain wave acquiring module processes the brain waves in the acquiring process of acquiring the brain waves of the patient through the brain wave collector as follows:
selecting a certain wavelet basis function and wavelet decomposition level from the acquired brain wave signals, and performing brain wave wavelet decomposition;
in the wavelet decomposition process, carrying out threshold quantization of high-frequency coefficients;
and after quantization according to the threshold value, performing inverse transformation on the high-frequency coefficient and the low-frequency coefficient to obtain a reconstructed signal.
Further, in step four, the processing the acquired information includes:
receiving target information sent by an information sender;
acquiring a first language to which the target information belongs and a second language to which the mobile terminal belongs;
if the first language is different from the second language, converting the language type of the target information into the second language;
and displaying the target information after the language type conversion.
Further, the processing the acquired information further includes:
acquiring vocabularies corresponding to the target information;
and updating the information content based on the vocabulary corresponding to the target information.
Another object of the present invention is to provide a diabetes treatment apparatus for implementing the method of treating diabetes, the diabetes treatment apparatus comprising:
the patient medical record acquisition module is connected with the central control module and is used for acquiring the early-stage illness state of the patient through information input equipment;
the brain wave acquisition module is connected with the central control module and acquires the brain waves of the patient through the brain wave collector;
the pulse information acquisition module is connected with the central control module and acquires the pulse information of the patient through the pulse sensor;
the temperature acquisition module is connected with the central control module and is used for detecting the body temperature of the patient through the temperature sensor;
the display module is connected with the central control module and used for displaying corresponding information through the display;
the central control module is respectively connected with the patient medical record acquisition module, the brain wave acquisition module, the pulse information acquisition module, the temperature acquisition module, the display module, the wireless signal transmission module, the data processing module, the illness state diagnosis module, the acupuncture point treatment module and the red light treatment module, and coordinates the normal operation of each module;
the wireless signal transmission module is connected with the central control module and is connected with the cloud server through communication equipment to realize data transmission;
and the cloud service module is connected with the wireless signal transmission module and is used for processing data through the cloud server.
Further, the diabetes therapy apparatus further comprises:
the data processing module is connected with the central control module and processes the acquired information through a data processing program;
the disease condition diagnosis module is connected with the central control module and diagnoses the disease condition of the patient through a diabetes diagnosis program;
the acupoint treatment module is connected with the central control module and is used for treating the patient through traditional Chinese medicine fumigation and electric pulse;
and the red light treatment module is connected with the central control module and performs laser irradiation on the patient by utilizing the red light treatment instrument.
It is another object of the present invention to provide a computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for implementing the diabetes treatment apparatus treatment method when executed on an electronic device.
It is another object of the present invention to provide a computer readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the diabetes treatment apparatus treatment method.
By combining all the technical schemes, the invention has the advantages and positive effects that:
the patient medical record acquisition module acquires the early-stage illness state of the patient through the information input equipment; the brain wave acquisition module acquires the brain waves of the patient through the brain wave collector; the pulse information acquisition module acquires the pulse information of the patient through a pulse sensor; the temperature acquisition module detects the body temperature of the patient through the temperature sensor. In the process of treating diabetes, all parameters of the body of a patient can be comprehensively detected, and reliable data support is provided for treating diabetes.
The acupoint treatment module treats a patient through traditional Chinese medicine fumigation and electric pulse; the red light treatment module performs laser irradiation on the patient by using the red light treatment instrument, provides multiple treatment modes and improves corresponding safety. According to the invention, the wireless signal transmission module is connected with the cloud server to realize data transmission; and the data processing is carried out by utilizing a big data processing technology, so that the efficiency and the accuracy of the data are improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments of the present invention will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a method for treating diabetes mellitus in accordance with an embodiment of the present invention.
Fig. 2 is a flow chart of an image compression process provided by an embodiment of the invention.
Fig. 3 is a flow chart of a process of image enhancement provided by an embodiment of the present invention.
Fig. 4 is a flowchart of processing acquired information according to an embodiment of the present invention.
FIG. 5 is a block diagram of a diabetes treatment apparatus according to an embodiment of the present invention;
in the figure: 1. a patient medical record acquisition module; 2. a brain wave acquisition module; 3. a pulse information acquisition module; 4. a temperature acquisition module; 5. a display module; 6. a central control module; 7. a wireless signal transmission module; 8. a cloud service module; 9. a data processing module; 10. a disease condition diagnosis module; 11. an acupoint therapy module; 12. and a red light treatment module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In view of the problems of the prior art, the present invention provides a diabetes therapeutic apparatus and a method for treating diabetes, which will be described in detail with reference to the accompanying drawings.
As shown in fig. 1, the diabetes therapeutic apparatus treatment method provided by the embodiment of the invention comprises:
s101, a patient medical record acquisition module acquires early illness states of a patient through information input equipment; the brain wave acquisition module acquires the brain waves of the patient through the brain wave collector;
s102, a pulse information acquisition module acquires pulse information of a patient through a pulse sensor; the temperature acquisition module detects the body temperature of a patient through a temperature sensor;
s103, the central control module is respectively connected with the patient medical record acquisition module, the brain wave acquisition module, the pulse information acquisition module, the temperature acquisition module, the display module, the wireless signal transmission module, the data processing module, the illness state diagnosis module, the acupuncture point treatment module and the red light treatment module, and the normal operation of the modules is coordinated;
s104, the data processing module processes the acquired information through a data processing program; the disease condition diagnosis module diagnoses the disease condition of the patient through a diabetes diagnosis program; the acupoint treatment module treats the patient through traditional Chinese medicine fumigation and electric pulse; the red light treatment module performs laser irradiation on the patient by using a red light treatment instrument;
s105, the display module is used for displaying corresponding information through the display; the wireless signal transmission module is connected with the cloud server through communication equipment to realize data transmission; and the cloud server is used for processing the data.
The information input device utilized by the patient medical record acquisition module provided by the embodiment of the invention in the process of acquiring the early illness state of the patient through the information input device comprises: a camera, a scanner; the camera acquires an image of case information and scans the case information through the scanner;
the patient medical record acquisition module acquires an image by using a camera, and processes the image, wherein the process comprises the following steps: image compression, enhancement, restoration, matching, description and recognition;
as shown in fig. 2, the image compression process provided by the embodiment of the present invention is as follows:
s201, arranging the acquired patient medical record photo information according to the sequence of the information source symbol frequency from small to large;
s202, combining and adding two minimum information source symbol frequencies in medical record picture information;
s203, continuously carrying out the combined addition of the two minimum information source symbol frequencies in the medical record picture information, and always putting a higher probability branch to the upper part until the probability reaches 1;
s204, appointing 1 for the upper frequency and 0 for the lower frequency in each pair of source symbol frequency combinations; or, the upper frequency in each pair of source symbol frequency combination is assigned as 0, and the lower frequency is assigned as 1;
s205, drawing a path with the arrival probability of 1.0 from each source symbol, and recording each 1 and 0 encountered along the path;
and S206, writing 1 and 0 sequences for each information source symbol, completing the compression of the image and obtaining a compressed medical record picture.
As shown in fig. 3, the image enhancement process provided by the embodiment of the present invention is as follows:
s301, establishing a corresponding denoising set for the acquired patient medical record image, and identifying and extracting an image segment containing noise;
s302, determining a neighborhood on the image fragment containing the noise as a template, wherein the template comprises adjacent pixels around the neighborhood;
s303, the original pixel value is replaced by the average value of all pixels in the template, thereby enhancing the image.
The image matching process provided by the embodiment of the invention is as follows:
extracting characteristic information of the image from the enhanced medical record image;
generating a feature descriptor for the extracted image feature information;
and matching the characteristics of the two images according to the similarity of the descriptors.
The brain wave acquisition module provided by the embodiment of the invention processes the brain waves in the acquisition process of acquiring the brain waves of a patient through the brain wave collector, and comprises the following steps:
selecting a certain wavelet basis function and wavelet decomposition level from the acquired brain wave signals, and performing brain wave wavelet decomposition;
in the wavelet decomposition process, carrying out threshold quantization of high-frequency coefficients;
and after quantization according to the threshold value, performing inverse transformation on the high-frequency coefficient and the low-frequency coefficient to obtain a reconstructed signal.
As shown in fig. 4, in step S104, the processing of the acquired information according to the embodiment of the present invention includes:
s401, receiving a target message sent by a message sender;
s402, acquiring a first language to which the target information belongs and a second language to which the mobile terminal belongs;
s403, if the first language is different from the second language, converting the language type of the target information into the second language;
s404, displaying the target information after the language type conversion.
The processing of the acquired information provided by the embodiment of the invention further comprises:
acquiring vocabularies corresponding to the target information;
and updating the information content based on the vocabulary corresponding to the target information.
As shown in fig. 5, the diabetes treatment apparatus provided by the embodiment of the present invention includes:
the patient medical record acquisition module 1 is connected with the central control module 6 and acquires the early illness state of the patient through information input equipment;
the brain wave acquisition module 2 is connected with the central control module 6 and acquires the brain waves of the patient through a brain wave collector;
the pulse information acquisition module 3 is connected with the central control module and acquires the pulse information of the patient through a pulse sensor;
the temperature acquisition module 4 is connected with the central control module 6 and is used for detecting the body temperature of the patient through a temperature sensor;
the display module 5 is connected with the central control module 6 and used for displaying corresponding information through a display;
the central control module 6 is respectively connected with the patient medical record acquisition module 1, the brain wave acquisition module 2, the pulse information acquisition module 3, the temperature acquisition module 4, the display module 5, the wireless signal transmission module 7, the data processing module 9, the illness state diagnosis module 10, the acupuncture point treatment module 11 and the red light treatment module 12, and coordinates the normal operation of the modules;
the wireless signal transmission module 7 is connected with the central control module 6 and is connected with the cloud server through communication equipment to realize data transmission;
and the cloud service module 8 is connected with the wireless signal transmission module 7 and is used for processing data through a cloud server.
The diabetes therapeutic apparatus provided by the embodiment of the invention further comprises:
the data processing module 9 is connected with the central control module 6 and processes the acquired information through a data processing program;
the disease condition diagnosis module 10 is connected with the central control module 6 and diagnoses the disease condition of the patient through a diabetes diagnosis program;
the acupuncture point treatment module 11 is connected with the central control module 6 and treats the patient through traditional Chinese medicine fumigation and electric pulse;
and the red light treatment module 12 is connected with the central control module 6 and performs laser irradiation on the patient by using a red light treatment instrument.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, and any modification, equivalent replacement, and improvement made by those skilled in the art within the technical scope of the present invention disclosed herein, which is within the spirit and principle of the present invention, should be covered by the present invention.
Claims (10)
1. A treatment method of a diabetes treatment instrument is characterized by comprising the following steps:
step one, a patient medical record acquisition module acquires early illness states of a patient through information input equipment; the brain wave acquisition module acquires the brain waves of the patient through the brain wave collector;
patient's case history acquisition module passes through information input equipment, acquires the in-process to the state of an illness of patient's earlier stage, and the information input equipment who utilizes includes: a camera, a scanner; the camera acquires an image of case information and scans the case information through the scanner;
the patient medical record acquisition module acquires an image by using a camera, and processes the image, wherein the process comprises the following steps: image compression, enhancement, restoration, matching, description and recognition;
the image compression process comprises the following steps:
arranging the acquired patient medical record photo information according to the sequence of the information source symbol frequency from small to large;
combining and adding two minimum information source symbol frequencies in medical record picture information;
continuously carrying out the combined addition of two minimum information source symbol frequencies in the medical record picture information, and always putting a higher probability branch to the upper part until the probability reaches 1;
assigning 1 to the upper frequency and 0 to the lower frequency in each pair of source symbol frequency combinations; or, the upper frequency in each pair of source symbol frequency combination is assigned as 0, and the lower frequency is assigned as 1;
drawing a path with the probability of 1.0 of reaching each source symbol, and recording each 1 and 0 encountered along the path;
writing 1 and 0 sequences for each information source symbol, completing the compression of the image and obtaining a compressed medical record picture;
secondly, the pulse information acquisition module acquires the pulse information of the patient through a pulse sensor; the temperature acquisition module detects the body temperature of a patient through a temperature sensor;
thirdly, the central control module is respectively connected with the patient medical record acquisition module, the brain wave acquisition module, the pulse information acquisition module, the temperature acquisition module, the display module, the wireless signal transmission module, the data processing module, the illness state diagnosis module, the acupuncture point treatment module and the red light treatment module, and the normal operation of each module is coordinated;
step four, the data processing module processes the acquired information through a data processing program; the disease condition diagnosis module diagnoses the disease condition of the patient through a diabetes diagnosis program; the acupoint treatment module treats the patient through traditional Chinese medicine fumigation and electric pulse; the red light treatment module performs laser irradiation on the patient by using a red light treatment instrument;
step five, the display module is used for displaying corresponding information through a display; the wireless signal transmission module is connected with the cloud server through communication equipment to realize data transmission; and the cloud server is used for processing the data.
2. The therapeutic method of claim 1, wherein in the first step, the image enhancement process comprises:
establishing a corresponding denoising set for the acquired patient medical record image, and identifying and extracting an image segment containing noise;
determining a neighborhood on the image segment containing the noise as a template, wherein the template comprises adjacent pixels around the neighborhood;
the image enhancement is achieved by replacing the original pixel values with the average value of all pixels in the template.
3. The therapeutic method of claim 1, wherein in the first step, the image matching process comprises:
extracting characteristic information of the image from the enhanced medical record image;
generating a feature descriptor for the extracted image feature information;
and matching the characteristics of the two images according to the similarity of the descriptors.
4. The therapeutic method for diabetes mellitus as defined in claim 1, wherein in the first step, the brain wave acquiring module processes the brain waves of the patient by the brain wave collector during the acquisition process of the brain waves of the patient:
selecting a certain wavelet basis function and wavelet decomposition level from the acquired brain wave signals, and performing brain wave wavelet decomposition;
in the wavelet decomposition process, carrying out threshold quantization of high-frequency coefficients;
and after quantization according to the threshold value, performing inverse transformation on the high-frequency coefficient and the low-frequency coefficient to obtain a reconstructed signal.
5. The therapeutic method of claim 1, wherein the step four, the processing the acquired information comprises:
receiving target information sent by an information sender;
acquiring a first language to which the target information belongs and a second language to which the mobile terminal belongs;
if the first language is different from the second language, converting the language type of the target information into the second language;
and displaying the target information after the language type conversion.
6. The therapeutic treatment method of claim 5 wherein the processing the acquired information further comprises:
acquiring vocabularies corresponding to the target information;
and updating the information content based on the vocabulary corresponding to the target information.
7. A diabetes treatment apparatus for carrying out the method according to any one of claims 1 to 6, wherein the diabetes treatment apparatus comprises:
the patient medical record acquisition module is connected with the central control module and is used for acquiring the early-stage illness state of the patient through information input equipment;
the brain wave acquisition module is connected with the central control module and acquires the brain waves of the patient through the brain wave collector;
the pulse information acquisition module is connected with the central control module and acquires the pulse information of the patient through the pulse sensor;
the temperature acquisition module is connected with the central control module and is used for detecting the body temperature of the patient through the temperature sensor;
the display module is connected with the central control module and used for displaying corresponding information through the display;
the central control module is respectively connected with the patient medical record acquisition module, the brain wave acquisition module, the pulse information acquisition module, the temperature acquisition module, the display module, the wireless signal transmission module, the data processing module, the illness state diagnosis module, the acupuncture point treatment module and the red light treatment module, and coordinates the normal operation of each module;
the wireless signal transmission module is connected with the central control module and is connected with the cloud server through communication equipment to realize data transmission;
and the cloud service module is connected with the wireless signal transmission module and is used for processing data through the cloud server.
8. The diabetes treatment apparatus of claim 7, further comprising:
the data processing module is connected with the central control module and processes the acquired information through a data processing program;
the disease condition diagnosis module is connected with the central control module and diagnoses the disease condition of the patient through a diabetes diagnosis program;
the acupoint treatment module is connected with the central control module and is used for treating the patient through traditional Chinese medicine fumigation and electric pulse;
and the red light treatment module is connected with the central control module and performs laser irradiation on the patient by utilizing the red light treatment instrument.
9. A computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for implementing the diabetes treatment apparatus treatment method of any of claims 1-6 when executed on an electronic device.
10. A computer readable storage medium storing instructions which, when executed on a computer, cause the computer to perform the method of diabetes therapy treatment of any one of claims 1 to 6.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011279830.4A CN112515641A (en) | 2020-11-16 | 2020-11-16 | Diabetes therapeutic apparatus and treatment method thereof |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011279830.4A CN112515641A (en) | 2020-11-16 | 2020-11-16 | Diabetes therapeutic apparatus and treatment method thereof |
Publications (1)
Publication Number | Publication Date |
---|---|
CN112515641A true CN112515641A (en) | 2021-03-19 |
Family
ID=74981345
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011279830.4A Pending CN112515641A (en) | 2020-11-16 | 2020-11-16 | Diabetes therapeutic apparatus and treatment method thereof |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112515641A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116271563A (en) * | 2023-04-18 | 2023-06-23 | 广州市五合医疗器械有限公司 | Semiconductor laser therapeutic apparatus control method and system |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103251393A (en) * | 2012-02-17 | 2013-08-21 | 钱军 | Portable blood oxygen, blood sugar and pulse measuring system and manufacture method thereof |
US20140012510A1 (en) * | 2012-07-09 | 2014-01-09 | Dexcom, Inc | Systems and methods for leveraging smartphone features in continuous glucose monitoring |
CN106453887A (en) * | 2016-09-30 | 2017-02-22 | 维沃移动通信有限公司 | Information processing method and mobile terminal |
CN106510701A (en) * | 2016-11-30 | 2017-03-22 | 北华大学 | Diabetes treatment instrument and information processing method thereof |
CN109636729A (en) * | 2017-10-06 | 2019-04-16 | 河南农业大学 | A kind of insect piercing and sucking current potential (EPG) signal antinoise method based on wavelet transformation |
CN211675332U (en) * | 2019-04-29 | 2020-10-16 | 徐州工程学院 | Diabetes therapeutic instrument |
-
2020
- 2020-11-16 CN CN202011279830.4A patent/CN112515641A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103251393A (en) * | 2012-02-17 | 2013-08-21 | 钱军 | Portable blood oxygen, blood sugar and pulse measuring system and manufacture method thereof |
US20140012510A1 (en) * | 2012-07-09 | 2014-01-09 | Dexcom, Inc | Systems and methods for leveraging smartphone features in continuous glucose monitoring |
CN106453887A (en) * | 2016-09-30 | 2017-02-22 | 维沃移动通信有限公司 | Information processing method and mobile terminal |
CN106510701A (en) * | 2016-11-30 | 2017-03-22 | 北华大学 | Diabetes treatment instrument and information processing method thereof |
CN109636729A (en) * | 2017-10-06 | 2019-04-16 | 河南农业大学 | A kind of insect piercing and sucking current potential (EPG) signal antinoise method based on wavelet transformation |
CN211675332U (en) * | 2019-04-29 | 2020-10-16 | 徐州工程学院 | Diabetes therapeutic instrument |
Non-Patent Citations (2)
Title |
---|
王巧兰: "微弱生物电信号的提取方法及其应用研究", 《中国优秀硕士学位论文全文数据库》 * |
郭宝龙 等: "《数字图像处理系统工程导论》", 31 July 2007 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116271563A (en) * | 2023-04-18 | 2023-06-23 | 广州市五合医疗器械有限公司 | Semiconductor laser therapeutic apparatus control method and system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US20210209762A1 (en) | Processing fundus images using machine learning models | |
CN113343821B (en) | Non-contact heart rate measurement method based on space-time attention network and input optimization | |
Jebadurai et al. | Super-resolution of retinal images using multi-kernel SVR for IoT healthcare applications | |
CN112515641A (en) | Diabetes therapeutic apparatus and treatment method thereof | |
CN114881962A (en) | Retina image blood vessel segmentation method based on improved U-Net network | |
CN115238835B (en) | Electroencephalogram emotion recognition method, medium and equipment based on double-space adaptive fusion | |
CN112294253A (en) | Disease diagnosis system based on user voice change and household intelligent robot | |
CN111339885B (en) | User identity determining method and related device based on iris recognition | |
CN111599460A (en) | Telemedicine method and system | |
CN110634578A (en) | Remote intelligent inquiry method | |
Zou et al. | eyeSay: Eye electrooculography decoding with deep learning | |
CN116884428A (en) | Block chain-based intelligent optimization method and system for online diagnosis and treatment and audio/video data | |
CN114652131A (en) | Control method and device of intelligent mattress, electronic equipment and storage medium | |
Sun et al. | A retinal vessel segmentation method based improved U-Net model | |
CN113538415A (en) | Segmentation method and device for pulmonary blood vessels in medical image and electronic equipment | |
CN112070737A (en) | Traditional Chinese medicine tongue observation and syndrome differentiation intelligent identification method based on tongue picture image processing | |
CN109919050B (en) | Identity recognition method and device | |
CN116564505A (en) | Thyroid disease screening method, system, equipment and storage medium based on deep learning | |
EP4191611A1 (en) | Blood glucose detection model training method, blood glucose detection method and system, and electronic device | |
CN112168141B (en) | Information processing method, device, equipment and storage medium for remote inquiry | |
Hatode et al. | Evolution and Testimony of Deep Learning Algorithm for Diabetic Retinopathy Detection | |
CN111832656A (en) | Medical human-computer interaction assistance system and computer-readable storage medium containing the same | |
CN110720889A (en) | Life signal noise reduction extraction method based on self-adaptive cross reconstruction | |
Liming et al. | Retinal lesions graded algorithm that integrates coordinate perception and hybrid extraction | |
US11074468B2 (en) | Method of liveness detection and related device |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210319 |