CN111449654A - Myoelectric mask and using method thereof - Google Patents
Myoelectric mask and using method thereof Download PDFInfo
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- CN111449654A CN111449654A CN202010213344.6A CN202010213344A CN111449654A CN 111449654 A CN111449654 A CN 111449654A CN 202010213344 A CN202010213344 A CN 202010213344A CN 111449654 A CN111449654 A CN 111449654A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/389—Electromyography [EMG]
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/40—Detecting, measuring or recording for evaluating the nervous system
- A61B5/4076—Diagnosing or monitoring particular conditions of the nervous system
- A61B5/4094—Diagnosing or monitoring seizure diseases, e.g. epilepsy
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4824—Touch or pain perception evaluation
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
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- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
The invention discloses a myoelectricity facial mask and a using method thereof, wherein the myoelectricity facial mask comprises: the facial myoelectric signal acquisition system comprises an myoelectric signal acquisition device and a signal processing system, wherein the myoelectric signal acquisition device comprises a plurality of sensors which are integrated on a facial mask according to the distribution of human faces so as to acquire multi-path muscle signals of the faces; and the signal processing system is used for receiving and preprocessing the multipath muscle signals of the face so as to display the physiological state of the facial myoelectricity in real time. The myoelectric facial mask can effectively analyze epileptogenic focus of epilepsy by collecting facial myoelectric signals with high resolution.
Description
Technical Field
The invention relates to the technical field of medicine, in particular to a myoelectric mask and a using method thereof.
Background
The surface electromyographic signal is a one-dimensional voltage signal acquired by collecting bioelectricity change of a neuromuscular system through an electrode during activity, and has important application value for clinical medicine, sports medicine and basic research. The current electromyographic signals are acquired by mainly adopting a single electrode or a sensor with a plurality of electrodes, and the signals are acquired by adhering to the skin; however, when the method is attached to the skin surface for detection, conductive paste, gel and the like are required to be filled, the clinical use is very inconvenient, the cost is high, meanwhile, the number of electrode points is small, only myoelectric signals in a single point or a small area can be collected, the resolution ratio is low, the myoelectric signals are not completely collected, and an effective pathological model cannot be established.
Therefore, a related technology and a product specially used for detecting facial electromyographic signals in the research fields of epilepsy treatment, pain perception and the like are urgently needed.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art.
To this end, an object of the present invention is to propose a myoelectric mask.
The invention also aims to provide a use method of the myoelectric facial mask.
In order to achieve the above object, an embodiment of an aspect of the present invention provides a myoelectric mask, including: the facial myoelectric signal acquisition device comprises an myoelectric signal acquisition device and a signal processing system, wherein the myoelectric signal acquisition device comprises a plurality of sensors which are integrated on a facial mask according to the distribution of human faces so as to acquire multi-path muscle signals of the face; the signal processing system is used for receiving and preprocessing the multipath muscle signals of the face so as to display the physiological state of the facial myoelectricity in real time.
According to the myoelectric mask provided by the embodiment of the invention, a set of special facial myoelectric signal measuring device and a myoelectric signal processing system are established by designing the flexible multi-conduction muscle electrodes, so that the high-precision continuous acquisition of facial myoelectric signals can be realized, the myoelectric mask is used for clinical medicine, a doctor is assisted in positioning a epileptogenic focus, diagnosing pain sensation in an operation and the like, and the myoelectric mask has a wide application prospect.
In addition, the electromyographic mask according to the above embodiment of the invention may further have the following additional technical features:
further, in an embodiment of the present invention, the electromyographic signal collector adopts a flexible electrode array sensor to attach the integrated mask to the face of the patient.
Further, in an embodiment of the present invention, the electromyographic signal collector is of a 32-way signal type or a 64-way signal type.
Further, in an embodiment of the present invention, the signal formula is selected according to actual needs to collect several signals of a certain portion.
Further, in one embodiment of the present invention, the signal processing system includes a display screen for interfacing the physiological state of the facial myoelectricity.
In order to achieve the above object, another embodiment of the present invention provides a method for using a myoelectric mask, comprising the following steps: selecting a myoelectric signal collector with 32-path signal type or 64-path signal type; attaching the electromyographic signal collector to the face of a patient, and collecting multiple paths of facial muscle signals; and preprocessing the multipath muscle signals of the face by using a signal processing system to obtain the physiological state of the facial myoelectricity, and displaying the physiological state on a display screen.
According to the use method of the electromyographic mask, a set of special facial electromyographic signal measuring device and an electromyographic signal processing system are established by designing the flexible multi-conduction muscle electrodes, so that high-precision continuous acquisition of facial electromyographic signals can be realized, the electromyographic signal processing system is used for clinical medicine, a doctor is assisted in positioning a epileptogenic focus, diagnosing pain sensation in an operation and the like, and the electromyographic mask has a wide application prospect.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a schematic structural diagram of a myoelectric mask according to one embodiment of the invention;
fig. 2 is a schematic structural diagram of an electromyographic signal collector according to a specific example of the present invention, wherein (a) is a 32-path signal type, (b) is a 64-path signal type;
fig. 3 is a flowchart of a method for using the electromyographic mask according to a specific example of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
The electromyographic mask proposed according to an embodiment of the present invention and a method for using the same will be described below with reference to the accompanying drawings, and first, the electromyographic mask proposed according to an embodiment of the present invention will be described with reference to the accompanying drawings.
Fig. 1 is a schematic structural diagram of a myoelectric mask according to an embodiment of the invention.
As shown in fig. 1, the electromyographic mask 10 includes: an electromyogram signal collector 100 and a signal processing system 200.
The electromyographic signal collector 100 includes a plurality of sensors, and the plurality of sensors are integrated on the mask according to the distribution of the human face to collect multiple paths of muscle signals of the face.
It should be noted that the electromyographic signal collector 100 adopts a flexible electrode array sensor to attach the integrated mask to the face of the patient, so as to conveniently and comprehensively collect the electromyographic signal of the face of the patient.
Further, as shown in fig. 2, the electromyographic signal collector 100 may be a 32-path signal type or a 64-path signal type, and a person skilled in the art may select the signal type according to actual needs to collect several point signals at a certain position.
It can be understood that the myoelectric signal collector adopts a flexible electrode design, and the myoelectric mask is attached to the face of a patient without a medium such as conductive paste, so that the myoelectric signal collector can conveniently collect signals for a long time. And the multi-point electrode distribution can realize the acquisition of multi-path muscle signals of the face, thereby facilitating the subsequent signal analysis and medical diagnosis, effectively acquiring the myoelectric signals of epileptogenic stage and empty window stage for epileptic patients, and assisting doctors to find epileptogenic focus.
And the signal processing system 200 is used for receiving and preprocessing the multipath muscle signals of the face so as to display the physiological state of the facial myoelectricity in real time.
Further, in one embodiment of the invention, the signal processing system comprises a display screen for displaying the physiological state of facial myoelectricity in an interfacing manner, and assisting a doctor in positioning a epileptogenic focus, diagnosing pain sensation in an operation and the like.
That is to say, after receiving the multichannel muscle signal of face, transmit multichannel muscle signal of face to the computer, carry out the preliminary treatment, obtain real-time physiological state, and transmit it to display screen or software, the doctor can look over the flesh electric signal state of each point position in the facial muscle model that software provided, also can save, derive relevant data.
According to the electromyographic mask provided by the embodiment of the invention, the electromyographic signals of the face can be collected at multiple points without conductive paste, the flexible electrode array can be completely attached to the face, meanwhile, the collected multipath facial electromyographic signals can be processed, the motion state and the physiological state of facial muscles can be displayed in real time, and the subsequent medical diagnosis is facilitated.
Next, a method for using the electromyographic mask according to an embodiment of the present invention will be described with reference to the accompanying drawings.
FIG. 3 is a flow chart of a method of using the electromyographic mask of one embodiment of the invention.
As shown in fig. 3, the electromyographic mask using method comprises the following steps: .
In step S301, a myoelectric signal collector of 32-way signal type or 64-way signal type is selected.
In step S302, a myoelectric signal collector is attached to the face of the patient, and multiple muscle signals of the face are collected.
In step S303, the multi-channel muscle signals of the face are preprocessed by the signal processing system to obtain the physiological state of the facial myoelectricity, and the physiological state is displayed on the display screen.
According to the use method of the electromyographic mask, which is provided by the embodiment of the invention, the electromyographic signals of the face can be collected at multiple points without conductive paste, the flexible electrode array can be completely attached to the face, meanwhile, the collected multipath facial electromyographic signals can be processed, the motion state and the physiological state of facial muscles can be displayed in real time, and the subsequent medical diagnosis is facilitated.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (6)
1. An electromyographic mask, comprising: an electromyographic signal collector and a signal processing system, wherein,
the electromyographic signal collector comprises a plurality of sensors, and the sensors are integrated on the mask according to the distribution of the human face so as to collect multipath muscle signals of the face;
the signal processing system is used for receiving and preprocessing the multipath muscle signals of the face so as to display the physiological state of the facial myoelectricity in real time.
2. An electromyographic mask according to claim 1 wherein the electromyographic signal collector employs a flexible electrode array sensor to attach the integrated mask to a patient's face.
3. An electromyographic mask according to claim 1 wherein the electromyographic signal collector is of 32-way signal type or 64-way signal type.
4. An electromyographic mask according to claim 3 wherein the signal format is selected with emphasis on actual needs to collect several signals at a location.
5. An electromyographic mask according to claim 1 wherein the signal processing system comprises a display screen for interfacing the physiological status of the facial myoelectricity.
6. A use method of an electromyographic mask, using any of the above claims 1-5, comprising the steps of:
selecting a myoelectric signal collector with 32-path signal type or 64-path signal type;
attaching the electromyographic signal collector to the face of a patient, and collecting multiple paths of facial muscle signals;
and preprocessing the multipath muscle signals of the face by using a signal processing system to obtain the physiological state of the facial myoelectricity, and displaying the physiological state on a display screen.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010213344.6A CN111449654A (en) | 2020-03-24 | 2020-03-24 | Myoelectric mask and using method thereof |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010213344.6A CN111449654A (en) | 2020-03-24 | 2020-03-24 | Myoelectric mask and using method thereof |
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| CN111449654A true CN111449654A (en) | 2020-07-28 |
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| CN202010213344.6A Pending CN111449654A (en) | 2020-03-24 | 2020-03-24 | Myoelectric mask and using method thereof |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113274038A (en) * | 2021-04-02 | 2021-08-20 | 上海大学 | Lip sensor device combining myoelectricity and pressure signals |
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| CN107072532A (en) * | 2014-05-29 | 2017-08-18 | 纽若瓦瑟股份有限公司 | Bio-signal acquisition and analysis system and equipment |
| CN109893132A (en) * | 2019-04-08 | 2019-06-18 | 上海大学 | A kind of Surface Electromyography Signal Acquisition System |
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2020
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