CN110604568B - System and method for detecting singing tone in air street - Google Patents
System and method for detecting singing tone in air street Download PDFInfo
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- CN110604568B CN110604568B CN201910930325.2A CN201910930325A CN110604568B CN 110604568 B CN110604568 B CN 110604568B CN 201910930325 A CN201910930325 A CN 201910930325A CN 110604568 B CN110604568 B CN 110604568B
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- 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]
Abstract
The invention provides a system and a method for detecting the singing tone of a gas street, comprising the following steps: the system comprises an information acquisition module, an information processing module and a computer module; the system comprises an information acquisition module, an information processing module and a computer module, wherein the information acquisition module is specifically a plurality of myoelectric sensors, the information processing module is specifically a spectrum analyzer, the information processing module is in signal connection with the computer module, and the detection method of the system comprises the following steps: s1, respectively installing the electromyographic sensors at bioelectricity monitoring points of the air-street muscles required to be detected by the human body, and then respectively connecting the electromyographic sensors with a spectrum analyzer; s2, completing a singing process by the human body to be detected, and transmitting the electromyographic information of the muscle to the spectrum analyzer through the electromyographic sensor; s3, integrating and analyzing the muscular electric waveform change diagram by using a computer, finding the bioelectricity monitoring points of the muscles of the human body, and then completing the determination of the abnormal working state of the representative muscles of the singing channel of the human body, namely completing the detection of the singing tone of the human body.
Description
Technical Field
The invention belongs to the technical field of a gas street singing tone detection method, and particularly relates to a gas street singing tone detection system and a gas street singing tone detection method.
Background
The qi street theory, based on the twelve meridian specimens, reflects the relationship of mutual traffic among the meridian systems in the distribution of the head, chest, abdomen and shin of the human body, mainly explains the transverse connection of the meridians and embodies the diversity of the connection forms of the meridians and collaterals in all parts of the human body. The qi street divides the body into four parts, head, chest, abdomen and shin, from top to bottom, so as to connect the viscera, organs and meridians of each part into a whole, and make each part form a relatively independent functional system. The head qi street takes the brain as the center, the chest qi street takes the heart and the lung as the center, the abdomen qi street takes the liver, the spleen, the kidney and the six fu-organs as the center, and the qi and blood of the viscera directly reach the outside through the qi street and are infused into all channels; all meridians can also direct qi and blood to the interior by means of qi and blood channels to nourish the zang-fu organs. The qi-channel is the shortcut for the transverse infusion of qi and blood into the zang-fu organs. Meanwhile, the qi street is also a necessary way for modern vocal music channels, and the bioelectricity is regular in statistical sense, and corresponds to a certain electric reaction in a certain physiological process. Therefore, whether the physiological process is in a normal state or not can be deduced according to the bioelectricity change, such as detection of bioelectricity information of electrocardiogram, electroencephalogram, electromyogram and the like.
In the singing process, a singer needs to reach a 'communicating' state, specifically, the singer opens a whole body cavity from the head to the sole to expand the body space to the maximum extent, under the relaxation state based on 'rolling waist and humpback', the whole body cavity is lifted by the head and the chest, inhaled breath is slowly delivered to the face and the lips, meanwhile, each part of the cavity is slightly expanded outwards, airflow is properly delivered to the direction vertical to the cavity wall to slightly impact the body surface, the singer needs the muscle synergy of each part of the body when reaching the communicating physiological state, the singer who does not reach the communicating state in the singing process needs to train part of body muscle in a centralized manner, and the existing equipment cannot accurately determine the part of the body muscle needing to be trained in a centralized manner, so that the structure and the efficiency of the training are influenced.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a system and a method for detecting the singing tone in the air street to solve the problem that the existing device proposed in the background art cannot accurately determine the parts of the body muscles that need to be intensively trained in the process of the singing tone training of the singer, which affects the structure and efficiency of the training.
In order to solve the technical problems, the invention adopts the technical scheme that: a kind of air street singing tone detecting system, including: the system comprises an information acquisition module, an information processing module and a computer module;
the system comprises an information acquisition module, an information processing module and a frequency spectrum analyzer, wherein the information acquisition module is specifically a plurality of electromyographic sensors, the information processing module is specifically a plurality of frequency spectrum analyzers in one-to-one corresponding signal connection with the electromyographic sensors, the electromyographic sensors are installed at gas-street muscle bioelectricity monitoring points needing to be detected by a human body, then the electromyographic sensors are connected with the frequency spectrum analyzers in one-to-one correspondence, and the generation of a muscle electricity waveform variation graph of the monitoring signals of the electromyographic sensors is completed through the frequency spectrum analyzers;
the information processing module is connected with the computer module through signals, the information processing module transmits the electromyogram change diagrams generated by the spectrum analyzers to the computer module, the computer module is used for integrating and analyzing the electromyogram change diagrams to determine the electromyogram change diagrams with abnormal change in the electromyogram change diagrams, and then the corresponding electromyogram sensors are found according to the electromyogram change diagrams with abnormal change and are installed at the gas street muscle bioelectricity monitoring points of a human body, so that the determination of the work abnormal operation state of the representative muscle groups of the singing channel of the human body can be completed, and the detection of the singing tone of the gas street of the human body can be completed.
Preferably, the air-street muscle bioelectricity monitoring points needing to be detected by the human body comprise a head muscle monitoring point group and a body muscle monitoring point group.
Preferably, the head muscle monitoring point groups are frontalis points, temporalis points, occipitalis points and masseter points, and the body muscle monitoring point groups are trapezius muscle points, latissimus dorsi points, pectoralis major points, rectus abdominis muscle points, oblique abdominal muscle points and gastrocnemius muscle points.
Preferably, the myoelectric sensor is provided with ten, and the spectrum analyzer is also provided with ten.
A detection method of a gas street singing tone detection system comprises the following steps:
s1, respectively installing ten electromyographic sensors at the bioelectricity monitoring points of the air-street muscles to be detected by the human body, and then respectively connecting the sensors with the spectrum analyzers in a one-to-one correspondence manner;
s2, the human body to be detected completes a singing process, and in the singing process, electromyographic information is transmitted to the spectrum analyzer through the electromyographic sensor to generate an electromyographic waveform variation graph;
and S3, transmitting the ten muscle electrical waveform change diagrams generated in S2 to a computer module, performing integrated analysis on the ten muscle electrical waveform change diagrams by using a computer to determine one or more abnormal change muscle electrical waveform change diagrams in the muscle electrical waveform change diagrams, finding out corresponding myoelectric sensors according to the abnormal change muscle electrical waveform change diagrams, and installing the corresponding myoelectric sensors at gas street muscle bioelectricity monitoring points of a human body, thus completing the determination of the abnormal working state of the representative muscle group of the singing channel of the human body and completing the detection of the singing tone of the gas street of the human body.
Preferably, in S3, the abnormal change of the bioelectrical muscle waveform is specifically the bioelectrical muscle waveform at ten monitoring points of the muscle, and then the bioelectrical muscle waveform different from the waveform change is found out, so as to complete the determination of the abnormal change of the bioelectrical muscle waveform.
Compared with the prior art, the invention has the following advantages:
the invention is characterized in that a plurality of spectrum analyzers which are in one-to-one corresponding signal connection with electromyographic sensors are arranged at a gas-street muscle bioelectricity monitoring point which needs to be detected by a human body, the electromyographic sensors are in one-to-one corresponding connection with the spectrum analyzers, the generation of a muscle electric waveform variation graph of the monitoring signal of the electromyographic sensors is completed through the spectrum analyzers, then an information processing module transmits the muscle electric waveform variation graphs generated by each spectrum analyzer to a computer module, the computer module is utilized to integrate and analyze the muscle electric waveform variation graphs to determine the muscle electric waveform variation graphs with abnormal variation in each muscle electric waveform variation graph, then the corresponding electromyographic sensors are found out according to the muscle electric waveform variation graphs with abnormal variation and are arranged at the gas-street muscle bioelectricity monitoring point of the human body, and the determination of the work abnormal operation state of the muscle group which is representative of a singing channel of the human body can be completed, the detection of the singing tone of the human body air street can be finished, and the method is accurate and practical.
Drawings
FIG. 1 is an overall system framework diagram of the present invention;
description of reference numerals:
1-an information acquisition module; 2-an information processing module; 3-computer module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the present invention provides a technical solution: a kind of air street singing tone detecting system, characterized by, including, information acquisition module 1, information processing module 2 and computer module 3;
wherein the information acquisition module 1 is specifically a plurality of myoelectric sensors, and is specifically ten myoelectric sensors, the information processing module 2 is specifically a plurality of spectrum analyzers in one-to-one corresponding signal connection with the electromyographic sensors, ten spectrum analyzers are also arranged, the electromyographic sensor is arranged at a gas street muscle bioelectricity monitoring point which needs to be detected by a human body, the gas street muscle bioelectricity monitoring point which needs to be detected by the human body comprises a head muscle monitoring point group and a body muscle monitoring point group, the head muscle monitoring point groups are frontal muscle points, temporal muscle points, occipital muscle points and masseter muscle points, the body muscle monitoring point groups are oblique upper muscle points, latissimus dorsi points, pectoralis major muscle points, rectus abdominis muscle points, oblique intra-abdominal muscle points and gastrocnemius muscle points, then the electromyographic sensors are correspondingly connected with the spectrum analyzers one by one, and the generation of a myoelectricity waveform variation graph of the electromyographic sensor monitoring signals is completed through the spectrum analyzers;
the information processing module 2 is in signal connection with the computer module 3, the information processing module 2 transmits the muscle electrical waveform change diagrams generated by the spectrum analyzers to the computer module 3, the computer module 3 is used for integrating and analyzing the muscle electrical waveform change diagrams to determine the muscle electrical waveform change diagrams with abnormal changes in the muscle electrical waveform change diagrams, and then the myoelectric sensors corresponding to the muscle electrical waveform change diagrams are found out according to the muscle electrical waveform change diagrams with abnormal changes and are installed at the gas street muscle bioelectricity monitoring points of a human body, so that the determination of the work abnormal operation state of the representative muscle groups of the singing channel of the human body can be completed, and the detection of the singing tone of the gas street of the human body can be completed.
A detection method of a gas street singing tone detection system comprises the following steps:
s1, respectively installing ten electromyographic sensors at the bioelectricity monitoring points of the air-street muscles to be detected by the human body, and then respectively connecting the sensors with the spectrum analyzers in a one-to-one correspondence manner;
s2, the human body to be detected completes a singing process, and in the singing process, electromyographic information is transmitted to the spectrum analyzer through the electromyographic sensor to generate an electromyographic waveform variation graph;
s3, the ten muscle electrical waveform change diagrams generated in S2 are transmitted to a computer module, the ten muscle electrical waveform change diagrams are integrated and analyzed by a computer, one or more muscle electrical waveform change diagrams with abnormal changes in the muscle electrical waveform change diagrams are determined, specifically, the muscle electrical waveform change diagrams of ten muscle bioelectricity monitoring points are integrated first, then the muscle electrical waveform change diagrams with different waveform changes are found out, the determination of the muscle electrical waveform change diagrams with abnormal changes can be completed, then the corresponding myoelectric sensor is found out according to the muscle electrical waveform change diagrams with abnormal changes and is installed at a gas street muscle bioelectricity monitoring point of a human body, the determination of the work abnormal operation state of a representative muscle group of a singing channel of the human body can be completed, and the detection of the singing tone of the human body gas street can be completed.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. A kind of air street singing tone detecting system, characterized by that, comprising:
an information acquisition module (1);
an information processing module (2) and,
a computer module (3);
the system comprises an information acquisition module (1), an information processing module (2), a spectrum analyzer and a display module, wherein the information acquisition module (1) is specifically a plurality of electromyographic sensors, the information processing module (2) is specifically a plurality of spectrum analyzers in one-to-one corresponding signal connection with the electromyographic sensors, the electromyographic sensors are installed at gas street muscle bioelectricity monitoring points needing to be detected by a human body, then the electromyographic sensors are connected with the spectrum analyzers in one-to-one correspondence, and the generation of a muscle electric waveform variation graph of the monitoring signals of the electromyographic sensors is completed through the spectrum analyzers;
the singing channel detection device is characterized in that the information processing module (2) is in signal connection with the computer module (3), the information processing module (2) transmits the muscle electric waveform change diagrams generated by the spectrum analyzers to the computer module (3), the computer module (3) is utilized to integrate and analyze the muscle electric waveform change diagrams to determine the muscle electric waveform change diagrams with abnormal change in the muscle electric waveform change diagrams, and then the corresponding myoelectric sensors are found out according to the muscle electric waveform change diagrams with abnormal change and are installed at the gas street muscle bioelectricity monitoring points of a human body, so that the determination of the work abnormal operation state of the representative muscle groups of the singing channel of the human body can be completed, and the detection of the gas singing tone of the human body can be completed.
2. The system for detecting the singing tone of the air street as claimed in claim 1, wherein the bioelectrical monitoring points of the muscles of the air street required to be detected by the human body comprise a group of monitoring points of muscles of the head and a group of monitoring points of muscles of the body.
3. The system for detecting vocal chord according to claim 2, wherein the groups of the head muscle monitoring points are frontal muscle points, temporal muscle points, occipital muscle points and masseter muscle points, and the groups of the body muscle monitoring points are trapezius muscle points, latissimus muscle points, pectoralis major muscle points, rectus abdominis muscle points, oblique abdominal muscle points and gastrocnemius muscle points.
4. The system for detecting the singing tone of the air street as claimed in claim 3, wherein ten electromyographic sensors are provided, and ten spectrum analyzers are provided.
5. The method for detecting a system for detecting the singing tone of a street according to any one of claims 1 to 4, comprising the steps of:
s1, respectively installing ten electromyographic sensors at the bioelectricity monitoring points of the air-street muscles to be detected by the human body, and then respectively connecting the sensors with the spectrum analyzers in a one-to-one correspondence manner;
s2, the human body to be detected completes a singing process, and in the singing process, electromyographic information is transmitted to the spectrum analyzer through the electromyographic sensor to generate an electromyographic waveform variation graph;
and S3, transmitting the ten muscle electrical waveform change diagrams generated in S2 to a computer module, performing integrated analysis on the ten muscle electrical waveform change diagrams by using a computer to determine one or more abnormal change muscle electrical waveform change diagrams in the muscle electrical waveform change diagrams, finding out corresponding myoelectric sensors according to the abnormal change muscle electrical waveform change diagrams, and installing the corresponding myoelectric sensors at gas street muscle bioelectricity monitoring points of a human body, thus completing the determination of the abnormal working state of the representative muscle group of the singing channel of the human body and completing the detection of the singing tone of the gas street of the human body.
6. The method as claimed in claim 5, wherein in step S3, the abnormal change of the electro-muscular waveform variation pattern is integrated, specifically, the electro-muscular waveform variation patterns of ten electro-muscular bioelectricity monitoring points are integrated, and then the electro-muscular waveform variation patterns with different waveform changes are found out, so as to complete the determination of the abnormal change of the electro-muscular waveform variation pattern.
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| US9564061B2 (en) * | 2010-09-21 | 2017-02-07 | Kennesaw State University Research And Service Foundation, Inc. | Vocalization training method |
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| CN106137190A (en) * | 2016-07-28 | 2016-11-23 | 上海交通大学医学院附属瑞金医院 | A kind of neural feedback rehabilitation intervention system and method based on surface myoelectric |
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