TR201720746A2 - ELECTROMIOGRAPHY EDUCATION APPLICATION SETUP - Google Patents
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- TR201720746A2 TR201720746A2 TR2017/20746A TR201720746A TR201720746A2 TR 201720746 A2 TR201720746 A2 TR 201720746A2 TR 2017/20746 A TR2017/20746 A TR 2017/20746A TR 201720746 A TR201720746 A TR 201720746A TR 201720746 A2 TR201720746 A2 TR 201720746A2
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- 238000002567 electromyography Methods 0.000 claims abstract description 45
- 238000012549 training Methods 0.000 claims abstract description 22
- 238000002001 electrophysiology Methods 0.000 claims abstract description 6
- 230000007831 electrophysiology Effects 0.000 claims abstract description 6
- 230000036403 neuro physiology Effects 0.000 claims abstract description 6
- 210000003205 muscle Anatomy 0.000 claims description 12
- 230000001537 neural effect Effects 0.000 claims description 12
- 230000005611 electricity Effects 0.000 claims description 11
- 230000004936 stimulating effect Effects 0.000 claims description 9
- 210000005036 nerve Anatomy 0.000 claims description 7
- 238000013528 artificial neural network Methods 0.000 claims description 4
- 230000036982 action potential Effects 0.000 claims description 2
- 230000001939 inductive effect Effects 0.000 claims 1
- 238000005259 measurement Methods 0.000 description 7
- 238000000034 method Methods 0.000 description 7
- 230000033001 locomotion Effects 0.000 description 6
- 238000004088 simulation Methods 0.000 description 6
- 238000012545 processing Methods 0.000 description 5
- 230000009471 action Effects 0.000 description 3
- 230000002232 neuromuscular Effects 0.000 description 3
- 239000011664 nicotinic acid Substances 0.000 description 3
- 230000003321 amplification Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 239000003814 drug Substances 0.000 description 2
- 238000001914 filtration Methods 0.000 description 2
- 230000036541 health Effects 0.000 description 2
- 238000003199 nucleic acid amplification method Methods 0.000 description 2
- 230000000638 stimulation Effects 0.000 description 2
- 241001465754 Metazoa Species 0.000 description 1
- 206010029174 Nerve compression Diseases 0.000 description 1
- 206010003882 axonal neuropathy Diseases 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 208000003295 carpal tunnel syndrome Diseases 0.000 description 1
- 210000000170 cell membrane Anatomy 0.000 description 1
- 210000003169 central nervous system Anatomy 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000000670 limiting effect Effects 0.000 description 1
- 210000003141 lower extremity Anatomy 0.000 description 1
- 208000019382 nerve compression syndrome Diseases 0.000 description 1
- 238000010984 neurological examination Methods 0.000 description 1
- 210000002569 neuron Anatomy 0.000 description 1
- 230000007170 pathology Effects 0.000 description 1
- 230000003863 physical function Effects 0.000 description 1
- 230000035790 physiological processes and functions Effects 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 230000003252 repetitive effect Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 210000002027 skeletal muscle Anatomy 0.000 description 1
- 230000001225 therapeutic effect Effects 0.000 description 1
- 210000001364 upper extremity Anatomy 0.000 description 1
Abstract
Buluş, tıp eğitiminde klinik nörofizyoloji alanında tıp öğrencisi, hekim, nöroloji uzmanı, fizik tedavi uzmanı, elektrofizyoloji teknikeri eğitiminde kullanılan bir pratik uygulama modeli olan elektromiyografi eğitimi uygulama tertibatı (A) ile ilgilidir.The invention relates to the electromyography training application device (A), which is a practical application model used in the training of medical student, physician, neurologist, physical therapist, electrophysiology technician in the field of clinical neurophysiology in medical education.
Description
TARIFNAME ELEKTROMIYOGRAFI EGITIMI UYGULAMA TERTIBATI Teknik Alan Bulus, tip egitiminde klinik nörofizyoloji alaninda tip ögrencisi, hekim, nöroloji uzmani, fizik tedavi uzmani, elektrofizyoloji teknikeri egitiminde kullanilan bir pratik uygulama modeli olan elektromiyografi egitimi uygulama tertibati ile ilgilidir. DESCRIPTION ELECTROMIOGRAPHY TRAINING APPLICATION EQUIPMENT Technical Area The invention is a medical student, physician, neurologist, in the field of clinical neurophysiology in medical education. A practical application used in the education of physical therapist, electrophysiology technician It is related to the electromyography training application device, which is a model.
Bulusun Altyapisi Tip alaninda hem tip ögrencilerinin hem de hekimlerin sürekli bir egitim içinde olmalari mesleki gelisimleri açisindan büyük önem tasimaktadir. Literatür kitaplari, makaleler ve benzeri dökümanlar çogu zaman egitim için yeterli olmamakta, pratik yapilmasi egitimin en büyük enstrümanlarindan biri olarak göze çarpmaktadir. Özellikle tip ögrencileri, hekim, nöroloji uzmani, fizik tedavi uzmani, elektrofizyoloji teknikeri gibi saglik mensuplarinin uygulamali egitim almalari kendilerini gelistirmek için oldukça önemlidir. Invention Background In the field of medicine, both medical students and physicians should be in a continuous education. It is of great importance for their professional development. Literature books, articles and similar documents are often not sufficient for education, it is necessary to practice. It stands out as one of the greatest instruments of education. Especially medical students, physician, neurologist, physical therapist, electrophysiology It is important for healthcare professionals such as technicians to receive practical training to improve themselves. very important for
Elektrofizyoloji vücuttaki merkezi sinir sistemi ve beyindeki sinir hücrelerinin elektrik hareketlerini inceleyen bilim dali olarak bilinmektedir. Insan ve hayvan deneyleri araciligiyla, elektrot uçlarinin hücre zari içine ya da disina yaklastirilmasiyla ölçümler yapilmasi prensibine dayanmaktadir. Electrophysiology The central nervous system in the body and the electrical energy of the nerve cells in the brain. It is known as the branch of science that studies movements. human and animal experiments Measurements are made by bringing the electrode tips in or out of the cell membrane. is based on the principle of
Elektromiyografi (EMG) ise, sinir ve çizgili kaslarin elektrik potansiyelinin incelenmesine dayanan bir nörolojik tetkik yöntemidir. Electromyography (EMG) shows the electrical potential of nerves and skeletal muscles. It is a neurological examination method based on examination.
Mevcut teknikte yapilan Elektromiyografi (EMG) egitimleri tip ögrencileri, hekimler, teknikerler tarafindan canli denek üzerinde gerçeklestirilmektedir. Bu tarz egitimler hastaya gereksiz ve hatali uygulamalar yapilmasina sebep olabilmekte, hastanin sagligini tehlikeye atmaktadir. için olan çok islevli bir egitim biyometrik ölçüm sistemi ile ilgilidir. Mevcut bulus, çesitli fizyolojik sinyalleri ölçebilecek sekilde üretilmekte ve donanima odaklanarak sadece bir tür fizyolojik sinyali ölçebilen klasik bir fizyolojik amplifikasyon cihazindan farkli olmaktadir. Temel olarak, egitim için çok islevli biyometrik ölçüm sistemi, EKG, EEG, EMG ve nabiz dalgalarini ölçmek ve degerlerin manipülasyonuna göre bir MCU ünitesinde arzu edilen bir frekans bandini dijital filtreleme yoluyla vücudun tüm frekanslarindaki sinyalleri ölçmek için üretilmistir. Mevcut bulusun özellikleri sunlardir: Bir biyometrik modül kullanilarak sayisal filtreleme ile çesitli fizyolojik sinyaller çikartilabilir; ve birden fazla cihazi satin almak için ekonomik baski azaltilabilir. Egitim için çok fonksiyonlu biyometrik ölçüm sistemi asagidakileri içerir: bir vücuttan sinyal alan bir elektrot ünitesi; fizyolojik sinyalleri güçlendiren ve filtreleyen biyometrik modül birimi; sinyalleri dönüstüren bir dönüstürücü birim; ve durumunu gösteren bir LCD ünitesi.” ifadelerine yer verilmektedir. Electromyography (EMG) trainings made in the current technique are given to medical students, physicians, It is performed by technicians on live subjects. This type of training may cause unnecessary and erroneous applications to the patient, endanger his health. It relates to a multifunctional educational biometric measurement system for The present invention, various It is produced in a way that can measure physiological signals and focuses on the hardware only. different from a conventional physiological amplification device that can measure some kind of physiological signal. is happening. Basically, multifunctional biometric measurement system for education, ECG, EEG, A MCU to measure EMG and pulse waves and manipulate values a desired frequency band in the unit by means of digital filtering all over the body. It is produced to measure signals at frequencies. The features of the present invention are: Various physiological signals with numerical filtering using a biometric module removable; and economical pressure to purchase multiple devices can be reduced. Education The multifunctional biometric measurement system for a receiving electrode unit; biometric module that amplifies and filters physiological signals unit of; a converter unit that converts the signals; and an LCD showing the status unit.” statements are included.
Bahsedilen basvuruda tip ögrencilerinin egitimi amaciyla EEG, EMG, EKG gibi çesitli biyolojik sinyalleri ölçmek için kullanilan bir cihaz ifsa edilmektedir. Ancak bahsi geçen cihaz canli bir denek üzerinde uygulanmakta ve yukarida bahsedilen dezavantajlari da beraberinde getirmektedir. ilgili olarak “Nöromüsküler sistemin fiziksel fonksiyonlarinin restorasyonunu tesvik eden bir sistem ve bir cihaza, biyolojik geribildirim temelli yinelenen uygulamaya ait tedavi yöntemlerini dahil ederek tesvik eden bir yöntem, bir aktüatör, bir eklem pozisyonu ölçüm sistemi, bir kuvvet algilama ölçüm sistemi, bir EMG ölçüm sistemi , bir nöromüsküler düsük seviye stimülasyon sistemi, bir denetleyici ve bir görüntüleme cihazi." ifadelerine yer verilmektedir. In the aforementioned application, various methods such as EEG, EMG, EKG, etc. A device used to measure biological signals is disclosed. However, the mentioned The device is applied on a living subject and it also has the disadvantages mentioned above. brings with it. “Promotes restoration of physical functions of the neuromuscular system. pertaining to a system and a device, repetitive application based on biofeedback a method that promotes by including treatment methods, an actuator, a joint position measurement system, a force sensing measurement system, an EMG measurement system, a neuromuscular low-level stimulation system, a controller, and a display device".
Bahsedilen uygulamada ise hasta üzerinde uygulanan ve nöromüsküler sistemde fizyolojik fonksiyonlari düzeltme ve tedaviye yönelik biofeedback özellikleri olan bir cihaz ifsa edilmektedir. Ancak bahsedilen uygulama egitim amaçli bir uygulama olmayip insan vücudu üzerinde uygulanan bir tedavi cihazidir. In the mentioned application, it is applied on the patient and in the neuromuscular system. with biofeedback features for restoring physiological functions and therapeutic device is disclosed. However, the application mentioned is an application for educational purposes. It is not a treatment device applied on the human body.
Yine literatürde CN106923942 numarali Çin patentinde konu ile ilgili olarak “Bulus, bir biyonik yardimci cihaz, bir elektromiyografi sinyali isleme modülü, bir simülasyon sürme modülü ve bir kullanici veritabani içeren insan vücudu elektromiyografi sinyal kontrolüne dayanan bir üst ve alt ekstremite hareketi yardimci sistemini açiklamaktadir. Elektromiyografi sinyal isleme modülü, elde edilen elektromiyografi sinyallerinin bir simülasyon isleme yöntemi ile islenmesi ve simüle edilmesi ve daha sonra sinyallerin simülasyon sürüs modülüne iletilmesi için kullanilir. Simülasyon sürme modülü, biyonik yardimci cihaz üzerinde hareket modu kontrolü yapmak için kullanilir. Kullanici veri tabani, bir kullanicinin kendi hareket aliskanliklarini ve yogunlugunu kaydetmek ve elektromiyografi sinyalleri ve simülasyon çikis zaman ve genliklerinin bir isleme algoritmasini, hareket davranislarina göre algoritma ile uzmanlar veya otomatik olarak manuel olarak ayarlamak için kullanilir. islenmis elektromiyografi sinyalleri, elde edilen elektromiyografi sinyalleri kullanici veri tabanina uydugunda kullanici veritabaninda saklanir; belirli bir hareket modu elektromiyografi sinyal isleme modülüne gönderilir ve suni eI / kol / ayak / bacaklarin bir insan vücudunun yüzeysel kas sinyallerinin kullanilmasi saglanir.” ifadeleri yer almaktadir. Again in the literature, in the Chinese patent numbered CN106923942, “Invention is a bionic assist device, an electromyography signal processing module, a simulation human body electromyography signal containing drive module and a user database an upper and lower extremity motion assist system based on explains. Electromyography signal processing module, resulting electromyography processing and simulating the signals with a simulation processing method and more It is then used to transmit signals to the simulation drive module. Simulation drive module to control the motion mode on the bionic assist device used. User database, a user's own movement habits and record the intensity and output time of electromyography signals and simulation a processing algorithm of the amplitudes with the algorithm according to the motion behavior. Used to set it manually by experts or automatically. finished electromyography signals, the resulting electromyography signals are transferred to the user database. stored in the user database when applicable; specific mode of action electromyography The signal is sent to the processing module and the artificial eI / arm / foot / leg is a human the body's superficial muscle signals are used.” statements are included.
Bahsedilen uygulamada ise cihaz EMG ile insan kas sinyallerini simüle ederek bunlari biyonik modellere uygulayarak suni el, ayakta hareket modlari olusturmaktadir. In the mentioned application, the device simulates human muscle signals with EMG and detects them. It creates artificial hand and standing motion modes by applying it to bionic models.
Yukarida bahsedilen dezavantajlardan dolayi tip egitiminde klinik nörofizyoloji alaninda kullanilmak üzere yeni bir elektromiyografi egitimi uygulama tertibati ortaya Bulusun Açiklanmasi Teknigin bu konumundan yola çikilarak bulusun amaci, mevcut dezavantajlari ortadan kaldiran tip egitiminde klinik nörofizyoloji alaninda kullanilmak üzere yeni bir elektromiyografi egitimi uygulama tertibati ortaya koymaktir. Because of the disadvantages mentioned above, clinical neurophysiology in medical education A new electromyography training application device has been introduced to be used in the field of Disclosure of the Invention Starting from this position of the technique, the aim of the invention is to eliminate the existing disadvantages. A new technique to be used in clinical neurophysiology in lifting medicine education. electromyography training is to reveal the application device.
Bulusun bir diger amaci, hem tip ögrencilerinin hem de hekimlerin mesleki gelisimlerine katki saglayan bir yapi ortaya koymaktir. Another aim of the invention is to enable both medical students and physicians to to put forward a structure that contributes to their development.
Bulusun bir diger amaci, canli denek kullanilmadan elektromiyografi egitimi yapilabilmesine olanak saglayan bir yapi ortaya koymaktir. Another purpose of the invention is electromyography education without the use of live subjects. It is to put forward a structure that allows it to be done.
Bulusun bir diger amaci, canli denek olarak kullanilan insanlarin sagligini tehlikeye atmayan bir yapi ortaya koymaktir. Another object of the invention is to endanger the health of people used as living subjects. is to reveal a structure that does not throw.
Bulusun bir diger amaci, EMG cihazi ile ölçülen sinirlere ait sinyallerin bir insan modelinde elde etmeyi saglayan suni bir sinir agi içeren anatomik model ortaya koymaktir. Another object of the invention is that the signals of the nerves measured by the EMG device are transmitted to a human An anatomical model has emerged that includes an artificial neural network that allows is to put.
Bulusun bir diger amaci, çesitli sinir patolojilerinin simülasyonu olusturularak ögrencilerin model üzerinde pratik uygulama ile egitim almasini saglayan bir yapi ortaya koymaktir. Another aim of the invention is to create simulation of various nerve pathologies. A structure that allows students to receive training on the model with practical application. is to reveal.
Sekillerin Açiklanmasi Sekil - 1 Bulusa konu olan elektromiyografi egitimi uygulama tertibatinin temsili bir görünümü Sekil - 2 Bulusa konu olan elektromiyografi egitimi uygulama tertibatinin temsili bir diger görünümü Sekil - 3 Bulusa konu olan elektromiyografi egitimi uygulama tertibatinin sematik bir görünümü Referans Numaralari A- Elektromiyografi Egitimi Uygulama Tertibati 1. Anatomik Kol/Bacak Modeli Kaydedici Elektrotlar Uyarilabilir Yapay Sinir Modeli Uyarici Elektrotlar 91:59)!`J Elektromiyografi Cihaz Modeli .1 Stimulator .2 Amplifikatör .3 Islemci .4 Ekran Bulusun Detayli Anlatimi Bu detayli açiklamada, bulus konusu yenilik sadece konunun daha iyi anlasilmasina yönelik hiçbir sinirlayici etki olusturmayacak örneklerle açiklanmaktadir. Explanation of Figures Figure - 1 A representative image of the electromyography training application apparatus, which is the subject of the invention. view Figure - 2 A representative of the electromyography training application apparatus, which is the subject of the invention. other view Figure - 3 A schematic representation of the electromyography training application device, which is the subject of the invention. view Reference Numbers A- Electromyography Training Application Equipment 1. Anatomical Arm/Leg Model Recording Electrodes Excitable Artificial Neural Model Stimulating Electrodes 91:59)!`J Electromyography Device Model .1 Stimulator .2 Amplifier .3 Processor .4 Display Detailed Description of the Invention In this detailed description, the innovation subject of the invention is only intended for a better understanding of the subject. It is explained with examples that will not have any limiting effect on the subject.
Bulus, tip egitiminde klinik nörofizyoloji alaninda tip ögrencisi, hekim, nöroloji uzmani, fizik tedavi uzmani, elektrofizyoloji teknikeri egitiminde kullanilan bir pratik uygulama modeli olan elektromiyografi egitimi uygulama tertibati (A) olup özelligi; insan vücudunda uygulanabilen tüm elektromiyografi tetkikinin üzerinde uygulanabilmesini saglayan, gerçegine uygun anatomik kol/bacak modeli (1), bahsedilen anatomik kol/bacak modelinin (1) içerisinde konumlu olan gerçek bir insan sinir agina uygun uyarilabilir yapay sinir modeli (3), bahsedilen uyarilabilir yapay sinir modelini (3) mikro volt seviyesinde elektrik vererek uyaran uyarici elektrotlar (4), bahsedilen uyarici elektrotlarin (4) verdigi elektrik sonrasi gerçegine uygun yapay kaslarin aksiyon potansiyellerini ölçüp kaydeden anatomik kol/bacak modeli (1) içerisindeki gerçegine uygun yapay kas üzerinde konumlu kaydedici elektrotlar (2) ve bahsedilen uyarici elektrotlarin (4) elektrik vermesini saglayan ve bahsedilen kaydedici elektrotlarin (2) verileri kaydetmesini saglayan elektromiyografi cihaz modeli (5) içermesiyle karakterize edilmesidir. The invention is a medical student, physician, neurologist, in the field of clinical neurophysiology in medical education. A practical application used in the education of physical therapist, electrophysiology technician The electromyography training application device (A) is a model and its feature is; human that it can be applied on all electromyography examinations that can be applied in the body. The anatomical arm/leg model (1), which provides a true-to-life suitable for a real human neural network located inside the arm/leg model (1) excitable artificial neural model (3), said excitable artificial neural model (3) micro Stimulating electrodes (4), which excite by giving electricity at the level of volts, the action of artificial muscles in accordance with the reality after the electricity given by the electrodes (4) to the reality in the anatomical arm/leg model (1) that measures and records the potentials of recording electrodes (2) located on the appropriate artificial muscle and said stimulant the recording electrodes (2), which enable the electrodes (4) to give electricity and It contains an electromyography device model (5) that allows it to record the data. is to be characterized.
Sekil- 1'de bulusa konu olan elektromiyografi egitimi uygulama tertibatinin (A) temsili Sekil- 2'de bulusa konu olan elektromiyografi egitimi uygulama tertibatinin (A) temsili bir diger görünümü resmedilmektedir. Figure-1 is the representation of the electromyography training application device (A) which is the subject of the invention. Figure-2 is the representation of the electromyography training application device (A) which is the subject of the invention. Another view is illustrated.
Sekil - 3'de ise bulusa konu olan elektromiyografi egitimi uygulama tertibatinin (A) sematik bir görünümü resmedilmektedir. In Figure - 3, the electromyography training application device (A) is the subject of the invention. A sematic view is illustrated.
Bulusa konu olan elektromiyografi egitimi uygulama tertibati (A); insan vücudunda uygulanabilen tüm elektromiyografi tetkikinin üzerinde uygulanabilmesini saglayan, gerçegine uygun anatomik kol/bacak modeli (1), bahsedilen anatomik kol/bacak modelinin (1) içerisinde konumlu olan gerçek bir insan sinir agina uygun uyarilabilir yapay sinir modeli (3), bahsedilen uyarilabilir yapay sinir modelini (3) mikro volt seviyesinde elektrik vererek uyaran uyarici elektrotlar (4), bahsedilen uyarici elektrotlarin (4) verdigi elektrik sonrasi gerçegine uygun yapay kaslarin aksiyon potansiyellerini ölçüp kaydeden anatomik kol/bacak modeli (1) içerisindeki gerçegine uygun yapay kas üzerinde konumlu kaydedici elektrotlar (2) ve bahsedilen uyarici elektrotlarin (4) elektrik vermesini saglayan ve bahsedilen kaydedici elektrotlarin (2) verileri kaydetmesini saglayan elektromiyografi cihaz modeli (5) ana parçalarindan meydana gelmektedir. Electromyography training application device (A) which is the subject of the invention; in the human body enabling it to be applied on all applicable electromyography examinations, anatomical arm/leg model (1), said anatomical arm/leg can be stimulated in accordance with a real human neural network located inside the model (1) artificial neural model (3), said excitable artificial neural model (3) microvolt stimulating electrodes (4), which stimulate by giving electricity at the the action of artificial muscles in accordance with the reality after the electricity given by the electrodes (4) to the reality in the anatomical arm/leg model (1) that measures and records the potentials of recording electrodes (2) located on the appropriate artificial muscle and said stimulant the recording electrodes (2), which provide electricity to the electrodes (4) and one of the main parts of the electromyography device model (5), which allows it to record the data is occurring.
Bahsedilen elektromiyografi cihazi modeli (5), bahsedilen uyarici elektrotlar (4) araciligiyla bahsi geçen uyarilabilir yapay sinir modeline (3) elektrik verilmesini saglayan stimulator (5.1), islemcinin (5.3) sagladigi elektrik sinyallerini yükseltme islevini yerine getiren amplifikatör (5.2) ve bahsedilen kaydedici elektrotlarin (2) kaydettigi verileri gösteren ekran (5.4) ana unsurlarindan meydan gelmektedir. Said electromyography device model (5), said stimulating electrodes (4) It provides electricity to the aforementioned excitable artificial neural model (3) via stimulator (5.1) that provides amplification of electrical signals provided by the processor (5.3) amplifier (5.2) and said recording electrodes (2) The screen (5.4) showing the recorded data consists of its main elements.
Bahsedilen bulusta, bir insan vücuduna ait anatomik kol ve bacak modeli (1) söz konusu olup, bahsedilen anatomik kol ve bacak modeli (1) içerisinde aslina uygun uyarilabilir yapay sinir modeli (3) olusturulmaktadir. Klinik uygulamada yapildigi üzere elektromiyografi cihazi prensipleri kullanarak anatomik kol ve bacak modeli (1) üzerindeki uyarilabilir yapay sinir modeli (3) elektrikle uyarilarak yine yapay kas üzerinden aksiyon potansiyelleri elde edilmektedir. In the mentioned invention, the anatomical arm and leg model of a human body (1) is mentioned. The subject is the subject of the anatomical arm and leg model (1) in accordance with the original. An excitable artificial neural model (3) is created. As in clinical practice anatomical arm and leg model using electromyography device principles (1) The excitable artificial nerve model (3) on it is electrically stimulated and the artificial muscle action potentials are obtained.
Normal sinir ve kas yapi özellikleri gösteren anatomik kol ve bacak modelinin (1) yanisira çesitli bozukluklarla ilgili modeller de olusturulabilmektedir. (Örnegin, aksonal nöropati, tuzak nöropatisi, karpal tünel sendromu vb) Insanda uygulanan elektromiyografi tetkikinin anatomik kol ve bacak modeli (1) üzerinde aynen uygulamasi yapilmaktadir. Bahsedilen uyarici elektrotlarla (4) mikro volt seviyesinde elektrik uyarisi verilerek anatomik kol ve bacak modelinin (1) uyarilabilir özellikteki uyarilabilir yapay sinir modeli (3) uyarilmaktadir. Anatomical arm and leg model showing normal nerve and muscle structure (1) In addition, models related to various disorders can be created. (For example, axonal neuropathy, entrapment neuropathy, carpal tunnel syndrome, etc.) Anatomical arm and leg model of human electromyography examination (1) same application is made on it. With said stimulating electrodes (4) micro Anatomical arm and leg model (1) by giving electrical stimulation at volt level The excitable artificial neural model (3) is stimulated.
Bahsedilen anatomik kol ve bacak modeli (1) içerisindeki gerçege uygun kas üzerine yerlestirilen kaydedici elektrotlarla (2) da kayit yapilarak, mikro volt olarak motor sinir yaniti büyüklügü ve hizi yapay sinir modelinin (3) ulastigi kastan elde edilmektedir. On the real muscle in the mentioned anatomical arm and leg model (1) by recording with the recording electrodes placed in (2), the motor nerve as microvolts The size and speed of the response are obtained from the muscle to which the artificial neural model (3) reaches.
Kaydedilen degerler de bahsi geçen ekran (5.4) üzerinde gösterilmektedir. Saved values are also shown on the aforementioned screen (5.4).
Claims (4)
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| TR201720746A2 true TR201720746A2 (en) | 2018-01-22 |
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| TR2017/20746A TR201720746A2 (en) | 2017-12-19 | 2017-12-19 | ELECTROMIOGRAPHY EDUCATION APPLICATION SETUP |
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