CN109107016B - Somatosensory vibration music sleep-aiding system - Google Patents
Somatosensory vibration music sleep-aiding system Download PDFInfo
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- CN109107016B CN109107016B CN201810942154.0A CN201810942154A CN109107016B CN 109107016 B CN109107016 B CN 109107016B CN 201810942154 A CN201810942154 A CN 201810942154A CN 109107016 B CN109107016 B CN 109107016B
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
- A61M21/02—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
- A61M2021/0005—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus
- A61M2021/0022—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus by the tactile sense, e.g. vibrations
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M21/00—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
- A61M2021/0005—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus
- A61M2021/0027—Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus by the hearing sense
Abstract
The embodiment of the invention provides a somatosensory vibration music sleep-aiding system, which comprises: the method comprises the following steps: the connection module is used for performing equipment connection after the equipment is connected to the router and displaying the connection state on a system interface in real time; and the music treatment module is used for entering a set music treatment mode after the equipment is successfully connected and inputting a treatment music signal and a treatment vibration signal according to a music treatment scheme selected by a user. In addition, the system also comprises a monitoring module used for monitoring the equipment and the treatment object, and an information storage module used for generating a treatment report and storing the treatment report according to the state of the treatment object. The technical scheme of the invention adopts music to carry out sleep treatment, thereby improving the sleep quality.
Description
Technical Field
The invention relates to the technical field of medical equipment, in particular to a somatosensory vibration music sleep-assisting system.
Background
The reasonable life style is a key factor for ensuring the health of human bodies and is an effective method for preventing various physiological and psychological diseases. Lifestyle is generally embodied in human diet, exercise, and sleep. At present, there are many apparatuses for helping healthy diet and healthy exercise, but there is no effective means for improving sleep quality.
In order to solve the problem of improving the sleep quality, in the prior art, the sound and light are generally adopted to induce the brain waves to be synchronous, so as to stimulate the brain to relieve the excitation state, thereby helping the sleep quality to be improved.
Disclosure of Invention
The embodiment of the invention provides a somatosensory vibration music sleep-assisting system which adopts music to perform sleep treatment so as to improve the sleep quality.
The embodiment of the invention provides a somatosensory vibration music sleep-aiding system, which comprises: the connection module is used for carrying out automatic scanning connection or manual parameter setting connection on the equipment after the equipment is connected to the router, and displaying the connection state on a system interface in real time;
and the music treatment module is used for entering a set music treatment mode after the equipment is successfully connected and outputting a treatment music signal and a treatment vibration signal according to a music treatment scheme selected by a user.
Furthermore, the music treatment mode adopts a deep learning neural network to carry out artificial intelligence deep learning on various music sounds so as to extract corresponding music treatment data; the music therapy data includes therapy music signals and therapy vibration signals.
Further, the deep learning neural network is adopted to perform artificial intelligence deep learning on various music sounds so as to extract corresponding music treatment data, and the method specifically comprises the following steps:
separating audio data corresponding to various music sounds through different frequencies to obtain data frames of the audio data, and training the data frames through a DNN neural network to enable the DNN neural network to generate the audio data to be memorized, and acquiring the music treatment data corresponding to the audio data.
Further, the music treatment regimen comprises a sleep-aid regimen, an emotion-relief regimen, an elderly disease regimen, a pain-relief regimen, and a sub-health conditioning regimen.
Furthermore, the music therapy module comprises a mode setting unit, a therapy operation unit, a parameter setting unit and a self-defining setting unit; wherein the content of the first and second substances,
the mode setting unit is used for setting different music files to obtain the treatment music signal and the treatment vibration signal;
the treatment operation unit is used for controlling the treatment equipment to carry out sleep treatment according to the treatment music signal and the treatment vibration signal;
the parameter setting unit is used for providing configuration information of the equipment and setting related parameters of the equipment;
the user-defined setting unit is used for setting the scheme details of the music treatment scheme and setting different music files.
Further, the music therapy module further comprises:
the scheme making unit is used for decomposing the audio data of the music file to obtain music treatment data and obtaining the music treatment scheme according to the music treatment data;
and the software setting unit is used for configuring relevant parameters of the music therapy software.
Further, the therapeutic operation unit is specifically configured to control the device to start, accelerate or suspend the music therapy program according to the therapeutic music signal and the therapeutic vibration signal.
Further, the custom setting unit includes:
the multi-signal output subunit is used for appointing one drive output port of the equipment to output the music signal, appointing the rest drive output ports of the equipment to output the music signal or the vibration signal;
and the single signal output subunit is used for setting equipment to independently output the music signal or the vibration signal through the drive output port.
Further, the somatosensory vibration music sleep-assisting system further comprises:
the monitoring module is used for monitoring the states of the equipment and a treatment object when the equipment carries out sleep treatment;
and the information storage module is used for generating a treatment report according to the state of the treatment object and storing the treatment report.
Further, the monitoring module comprises:
the equipment monitoring unit is used for monitoring the equipment state of the equipment;
a subject monitoring unit for monitoring status data of the subject; wherein the status data is real-time monitoring data representing the treatment effect.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a somatosensory vibration music sleep-aiding system, which comprises: the connection module is used for performing equipment connection after the equipment is connected to the router and displaying the connection state on a system interface in real time; and the music treatment module is used for entering a set music treatment mode after the equipment is successfully connected and inputting a treatment music signal and a treatment vibration signal according to a music treatment scheme selected by a user. The technical scheme of the invention realizes the improvement of the sleep quality through music.
Drawings
Fig. 1 is a schematic structural diagram of a somatosensory vibration music sleep-assisting system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a music therapy module according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a somatosensory vibration music sleep-assisting system according to another embodiment of the invention.
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.
Please refer to fig. 1.
Fig. 1 is a schematic structural diagram of a somatosensory vibration music sleep-assisting system according to an embodiment of the present invention. The method comprises the following steps:
the module 101 is connected. The router is used for connecting the equipment through automatic scanning or manual parameter setting after the equipment is connected to the router, and displaying the connection state on a system interface in real time.
In this embodiment, when the connection with the device is successful, the connection state is displayed on the interface and the user is prompted. And when the connection with the equipment fails, performing fault warning.
And the music treatment module 102 is used for entering a set music treatment mode after the equipment is successfully connected, and outputting a treatment music signal and a treatment vibration signal according to a music treatment scheme selected by a user.
In this embodiment, the music therapy mode uses the deep learning neural network to perform artificial intelligence deep learning on various music sounds, such as music signals and vibration signals generated by a piano, a guitar, a drum, a violin and the like, so as to extract corresponding therapy music signals and therapy vibration signals.
In the present embodiment, audio data corresponding to various music sounds are decomposed into data frames by using short-time fourier transform at different frequencies. Training the data frame through the DNN neural network so that the DNN neural network model generates data memory on the audio data by the data frame, and extracting music treatment data in the audio data by using the data memory.
In this embodiment, the music treatment regimen includes five broad categories of a sleep-aid regimen, a mood-relief regimen, an age-related disorder regimen, a pain-relief regimen, and a sub-health conditioning regimen. Through the five major scheme entries, the sub-treatment schemes in the five major schemes can be selected for music listening and vibration effect trial.
In this embodiment, the device has a total of 8 drive outlets. When music treatment is carried out, the equipment plays music at one or two drive output ports or the earphone output port of the equipment, and the rest drive output ports output treatment vibration signals.
Please refer to fig. 2.
Further, referring to fig. 2, a schematic structural diagram of the music therapy module according to an embodiment of the present invention is provided. The music therapy module 102 includes: a mode setting unit 201, a treatment operation unit 202, a parameter setting unit 203, and a custom setting unit 204.
The mode setting unit 201 is used for setting different music files, and obtaining a treatment music signal and a treatment vibration signal. The treatment operation unit 202 is used for controlling the treatment equipment to carry out sleep treatment according to the treatment music signal and the treatment vibration signal. The parameter setting unit 203 is used to set the protocol details of the music therapy protocol, and to set different music files.
In the present embodiment, the treatment operating unit 202 is used to control the treatment device to pause, start or accelerate music playback and treatment vibration according to the treatment music signal and the treatment vibration signal.
In the present embodiment, the parameter setting unit 203 is used to provide related information of a driver card of the device and parameter information of an interface, and to set functions such as operation authority of the device.
Further, the music therapy module 102 further comprises:
the scheme making unit 205 is configured to decompose the audio data of the music file, obtain music therapy data, and obtain a music therapy scheme according to the music therapy data.
And the software setting unit 206 is used for configuring relevant parameters of the music therapy software.
In this embodiment, the plan making unit 205 is configured to obtain music therapy data by decomposing the music file, set the vibration frequency and the vibration intensity of the music therapy data at different parts of the human body, set the therapy duration, and finally obtain the corresponding music therapy plan.
In the present embodiment, the software setting unit 206 is used to set the software theme and the parameter configuration of the music therapy software, such as the communication port of the music therapy software and the device.
Further, the custom setting unit 204 includes:
a multi-signal output subunit 211 for designating one drive output port of the apparatus to output the music signal, and designating the remaining drive output ports of the apparatus to output the music signal or the vibration signal.
And a single signal output subunit 212 for setting the device to output the music signal or the vibration signal separately through the driving output port.
Please refer to fig. 3.
Further, referring to fig. 3, a schematic structural diagram of a somatosensory vibration music sleep-assisting system according to another embodiment of the present invention is shown. In addition to the structure shown in fig. 1, the structure further includes:
and the monitoring module 103 is used for monitoring the states of the equipment and the treatment object when the equipment performs sleep treatment.
And an information storage module 104 for storing the treatment result, i.e. the treatment report.
Further, the monitoring module 103 includes:
a device monitoring unit 301, configured to monitor a device state of a device.
A subject monitoring unit 302 for monitoring status data of the treatment subject.
The status data is real-time monitoring data indicating the treatment effect.
In this embodiment, the device monitoring unit 301 monitors the operation state of the device, the synchronization time, and the number of times of failure of the device in real time while the sleep therapy is performed. The subject monitoring unit 302 monitors the status data of the ears, neck, waist, and legs of the subject.
Therefore, the somatosensory vibration music sleep-assisting system provided by the embodiment of the invention comprises: the connection module is used for performing equipment connection after the equipment is connected to the router and displaying the connection state on a system interface in real time; and the music treatment module is used for entering a set music treatment mode after the equipment is successfully connected and inputting a treatment music signal and a treatment vibration signal according to a music treatment scheme selected by a user. In addition, the system also comprises a monitoring module used for monitoring the equipment and the treatment object, and an information storage module used for generating a treatment report and storing the treatment report according to the state of the treatment object. The technical scheme of the invention adopts music to carry out sleep treatment, thereby improving the sleep quality.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (6)
1. A somatosensory vibration music sleep-aiding system is characterized by comprising:
the connection module is used for carrying out automatic scanning connection or manual parameter setting connection on the equipment after the equipment is connected to the router, and displaying the connection state on a system interface in real time;
the music treatment module is used for entering a set music treatment mode after the equipment is successfully connected and outputting a treatment music signal and a treatment vibration signal according to a music treatment scheme selected by a user;
wherein, the music treatment mode adopts deep learning neural network to carry out artificial intelligence deep learning to various music sounds to extract corresponding music treatment data, specifically is:
separating audio data corresponding to various music sounds through different frequencies to obtain data frames of the audio data, and training the data frames through a DNN neural network so as to enable the DNN neural network to generate data memory for the audio data, and then extracting the music treatment data in the audio data by utilizing the data memory;
the music therapy data comprises a therapy music signal and a therapy vibration signal;
the music treatment module comprises a mode setting unit, a treatment operation unit, a parameter setting unit, a self-defining setting unit, a scheme making unit and a software setting unit; wherein the content of the first and second substances,
the mode setting unit is used for setting different music files to obtain the treatment music signal and the treatment vibration signal;
the treatment operation unit is used for controlling the treatment equipment to carry out sleep treatment according to the treatment music signal and the treatment vibration signal;
the parameter setting unit is used for providing configuration information of the equipment and setting related parameters of the equipment;
the user-defined setting unit is used for setting the scheme details of the music treatment scheme and setting different music files;
the scheme making unit is used for decomposing the audio data of the music file to obtain music treatment data and obtaining the music treatment scheme according to the music treatment data;
the software setting unit is used for configuring relevant parameters of the music therapy software.
2. The somatosensory vibration music sleep-aid system according to claim 1, wherein the music treatment regimen comprises a sleep-aid regimen, an emotion-relief regimen, an geriatric regimen, a pain-relief regimen, and a sub-health conditioning regimen.
3. The somatosensory vibration music sleep-aid system according to claim 1, wherein the therapy operation unit is specifically configured to control the device to start, accelerate or pause the music therapy program according to the therapy music signal and the therapy vibration signal.
4. The somatosensory vibration music sleep-aid system according to claim 1, wherein the custom setting unit comprises:
the multi-signal output subunit is used for appointing one drive output port of the equipment to output the music signal, appointing the rest drive output ports of the equipment to output the music signal or the vibration signal;
and the single signal output subunit is used for setting equipment to independently output the music signal or the vibration signal through the drive output port.
5. The somatosensory vibration music sleep-aid system according to claim 1, further comprising:
the monitoring module is used for monitoring the states of the equipment and a treatment object when the equipment carries out sleep treatment;
and the information storage module is used for generating a treatment report according to the state of the treatment object and storing the treatment report.
6. The somatosensory vibration music sleep-aid system according to claim 5, wherein the monitoring module comprises:
the equipment monitoring unit is used for monitoring the equipment state of the equipment;
a subject monitoring unit for monitoring status data of the subject; wherein the status data is real-time monitoring data representing the treatment effect.
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| CN110335662A (en) * | 2019-06-11 | 2019-10-15 | 广东德泷智能科技有限公司 | A kind of artificial intelligence robot for adjuvant treatment of sleeping |
| CN110841169B (en) * | 2019-11-28 | 2020-09-25 | 中国科学院深圳先进技术研究院 | Deep learning sound stimulation system and method for sleep regulation |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2010030349A2 (en) * | 2008-09-10 | 2010-03-18 | Ingrao Jason V | Therapeutic system |
| CN104720995A (en) * | 2015-04-01 | 2015-06-24 | 江本旋 | Flat-lying-type vibrating bed |
| JP2017074099A (en) * | 2015-10-13 | 2017-04-20 | 凸版印刷株式会社 | Mental health respiration training system, hanging scroll type mental health respiration training system, and plane light emission display body |
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|---|---|---|---|---|
| US6743164B2 (en) * | 1999-06-02 | 2004-06-01 | Music Of The Plants, Llp | Electronic device to detect and generate music from biological microvariations in a living organism |
| CN101244308B (en) * | 2007-02-14 | 2011-03-23 | 汪卫东 | Hypnotism instrument |
| CN103830823A (en) * | 2014-03-17 | 2014-06-04 | 董新明 | Sleeping monitoring magnet therapy recovery instrument based on somatosensory musicotherapy |
| CN104587583A (en) * | 2015-01-08 | 2015-05-06 | 广东正美家具科技有限公司 | Low-frequency hypnosis pad and hypnosis method thereof as well as application of low-frequency hypnosis pad |
| CN108323158A (en) * | 2018-01-18 | 2018-07-24 | 深圳前海达闼云端智能科技有限公司 | Heart sound identification method and cloud system |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2010030349A2 (en) * | 2008-09-10 | 2010-03-18 | Ingrao Jason V | Therapeutic system |
| CN104720995A (en) * | 2015-04-01 | 2015-06-24 | 江本旋 | Flat-lying-type vibrating bed |
| JP2017074099A (en) * | 2015-10-13 | 2017-04-20 | 凸版印刷株式会社 | Mental health respiration training system, hanging scroll type mental health respiration training system, and plane light emission display body |
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