CN111110469A - Multifunctional nursing bed - Google Patents

Multifunctional nursing bed Download PDF

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Publication number
CN111110469A
CN111110469A CN201911285530.4A CN201911285530A CN111110469A CN 111110469 A CN111110469 A CN 111110469A CN 201911285530 A CN201911285530 A CN 201911285530A CN 111110469 A CN111110469 A CN 111110469A
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China
Prior art keywords
lifting
voice signal
user voice
user
spectrum
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CN201911285530.4A
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Chinese (zh)
Inventor
江娴
候晓敏
朱丽瑜
彭焕椽
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Southern Hospital Southern Medical University
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Southern Hospital Southern Medical University
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Priority to CN201911285530.4A priority Critical patent/CN111110469A/en
Publication of CN111110469A publication Critical patent/CN111110469A/en
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61GTRANSPORT, PERSONAL CONVEYANCES, OR ACCOMMODATION SPECIALLY ADAPTED FOR PATIENTS OR DISABLED PERSONS; OPERATING TABLES OR CHAIRS; CHAIRS FOR DENTISTRY; FUNERAL DEVICES
    • A61G7/00Beds specially adapted for nursing; Devices for lifting patients or disabled persons
    • A61G7/002Beds specially adapted for nursing; Devices for lifting patients or disabled persons having adjustable mattress frame
    • A61G7/005Beds specially adapted for nursing; Devices for lifting patients or disabled persons having adjustable mattress frame tiltable around transverse horizontal axis, e.g. for Trendelenburg position
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61GTRANSPORT, PERSONAL CONVEYANCES, OR ACCOMMODATION SPECIALLY ADAPTED FOR PATIENTS OR DISABLED PERSONS; OPERATING TABLES OR CHAIRS; CHAIRS FOR DENTISTRY; FUNERAL DEVICES
    • A61G7/00Beds specially adapted for nursing; Devices for lifting patients or disabled persons
    • A61G7/002Beds specially adapted for nursing; Devices for lifting patients or disabled persons having adjustable mattress frame
    • A61G7/018Control or drive mechanisms
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61GTRANSPORT, PERSONAL CONVEYANCES, OR ACCOMMODATION SPECIALLY ADAPTED FOR PATIENTS OR DISABLED PERSONS; OPERATING TABLES OR CHAIRS; CHAIRS FOR DENTISTRY; FUNERAL DEVICES
    • A61G7/00Beds specially adapted for nursing; Devices for lifting patients or disabled persons
    • A61G7/05Parts, details or accessories of beds
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61GTRANSPORT, PERSONAL CONVEYANCES, OR ACCOMMODATION SPECIALLY ADAPTED FOR PATIENTS OR DISABLED PERSONS; OPERATING TABLES OR CHAIRS; CHAIRS FOR DENTISTRY; FUNERAL DEVICES
    • A61G2203/00General characteristics of devices
    • A61G2203/10General characteristics of devices characterised by specific control means, e.g. for adjustment or steering
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61GTRANSPORT, PERSONAL CONVEYANCES, OR ACCOMMODATION SPECIALLY ADAPTED FOR PATIENTS OR DISABLED PERSONS; OPERATING TABLES OR CHAIRS; CHAIRS FOR DENTISTRY; FUNERAL DEVICES
    • A61G2203/00General characteristics of devices
    • A61G2203/10General characteristics of devices characterised by specific control means, e.g. for adjustment or steering
    • A61G2203/18General characteristics of devices characterised by specific control means, e.g. for adjustment or steering by patient's head, eyes, facial muscles or voice

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  • Health & Medical Sciences (AREA)
  • Nursing (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Rehabilitation Therapy (AREA)
  • Invalid Beds And Related Equipment (AREA)

Abstract

The invention provides a multifunctional nursing bed, comprising: the lifting device comprises a base support, a front support plate, a rear support plate and a lifting device; the back support plate is fixed on the base support, the lifting beam of the front support plate is connected with the lifting device, and the front support plate can rotate around a hinge point of the front support plate and the back support plate along with the pushing of the lifting device to realize the back lifting of the front support plate; the side of the base support is provided with a connecting device, the tail end of the connecting device is provided with an interactive terminal, and the interactive terminal is provided with a voice acquisition device which is used for acquiring voice signals of a user; the base support is internally provided with a main control terminal, the main control terminal is respectively connected with the interactive terminal and the lifting device and used for sending the received user voice signals to the cloud computing platform, the cloud computing platform identifies the user voice signals and returns corresponding control instructions to the main control terminal, and the main control terminal drives the lifting device to execute corresponding operations according to the received control instructions. The invention is convenient to operate and improves the user experience.

Description

Multifunctional nursing bed
Technical Field
The invention relates to the technical field of medical care equipment, in particular to a multifunctional care bed.
Background
The nursing bed is widely used, a large number of nursing beds are arranged in hospitals, old people hospitals and the like, and the nursing bed is developing towards improving the experience of users (such as old people and rehabilitation patients).
However, some places which are inconvenient to operate still exist in the process of using the nursing bed by a user at present, for example, the nursing bed usually needs to be operated under the bed when the back-up mechanism is adjusted, the user needs to get off the bed to stir the operating rod to adjust the angle of the back-up mechanism, and the use is very inconvenient; in the prior art, some nursing beds with a back-up mechanism adjusted through a remote controller exist, but the nursing bed still has the defect of inconvenience in use for some users with inconvenient hand and foot actions.
Disclosure of Invention
In view of the above problems, the present invention aims to provide a multifunctional nursing bed.
The purpose of the invention is realized by adopting the following technical scheme:
a multi-functional care bed, comprising: the lifting device comprises a base support, a front support plate, a rear support plate and a lifting device; wherein the content of the first and second substances,
the rear supporting plate is fixed on the base support, the lifting cross beam of the front supporting plate is connected with the lifting device, and the front supporting plate can rotate around a hinge point of the front supporting plate and the rear supporting plate along with the pushing of the lifting device, so that the back lifting of the front supporting plate is realized;
the side of the base support is provided with a connecting device, the tail end of the connecting device is provided with an interactive terminal, and the interactive terminal is provided with a voice acquisition device which is used for acquiring voice signals of a user;
the base support is internally provided with a main control terminal, the main control terminal is respectively connected with the interactive terminal and the lifting device and used for sending the received user voice signals to the cloud computing platform, the cloud computing platform identifies the user voice signals and returns corresponding control instructions to the main control terminal, and the main control terminal drives the lifting device to execute corresponding operations according to the received control instructions.
In one embodiment, the lifting device comprises an electric push rod and a lifting connecting rod, wherein the lifting connecting rod is of an L-shaped structure, the corner of the lifting connecting rod is hinged with the base support through a bolt, the long end of the lifting connecting rod is fixedly connected with a lifting beam of the front support plate, and the lifting beam is slidably connected with the bottom of the front support plate;
one end of the electric push rod is hinged on the base bracket, and the other end of the electric push rod is hinged on the short end part of the lifting connecting rod;
the electric push rod pushes the lifting connecting rod to rotate around the hinged point of the lifting connecting rod and the base support, so that the back lifting movement of the front support plate is realized.
In one embodiment, the front end of the base bracket is further provided with a backrest.
In one embodiment, the connection device is a mechanical arm, and the interactive terminal is detachably and fixedly connected to the end of the mechanical arm.
In one embodiment, the interactive terminal is provided with a display screen and a control panel.
In one embodiment, the main control terminal comprises a processing module, a control module and a communication module;
the processing module is used for receiving a user voice signal collected by the interactive terminal;
the communication module is in wireless communication connection with the cloud computing platform and is used for sending the user voice signal to the cloud computing platform and receiving a control instruction returned after the cloud computing platform identifies the user voice signal;
and the control module is used for controlling the electric push rod to perform corresponding push-pull movement according to the received control instruction.
In one embodiment, a cloud computing platform includes a communication system and a speech recognition system,
the communication system is used for receiving user voice signals transmitted by the main control terminals of one or more nursing beds;
the voice recognition system comprises a preprocessing unit, an endpoint detection unit, a feature extraction unit and a recognition unit,
the preprocessing unit is used for carrying out enhancement denoising processing on the received user voice signal and outputting a preprocessed user voice signal;
the endpoint detection unit is used for carrying out endpoint detection on the preprocessed user voice signal and segmenting a voice part in the voice signal;
the feature extraction unit is used for performing feature extraction processing on the voice part to obtain a logarithmic energy spectrum of the voice part and obtaining voice feature parameters of the voice part according to the energy distribution information of the logarithmic energy spectrum;
the identification unit is used for comparing the acquired characteristic parameters with characteristic parameters prestored in the database, identifying the control instruction corresponding to the characteristic parameters and returning the acquired control instruction to the main control terminal of the designated nursing bed through the communication system.
The invention has the beneficial effects that: according to the multifunctional nursing bed provided by the invention, in order to improve the comfort degree of a user, the lifting back angle of the front bed plate can be adjusted by arranging the front bed plate capable of being adjusted and moved and matching with the lifting device, so that the user can adjust the angle of the front bed plate according to the most comfortable state, and the comfort degree is strong.
Simultaneously, a novel landing gear bearing structure is proposed, through adopting L type pole cooperation electric putter to realize the back of the body of preceding backup pad and play the motion, wherein the steady degree when L type pole can strengthen rising and falling has improved the travelling comfort of nursing bed.
Meanwhile, the interactive terminal is arranged on the side face of the nursing bed through a connecting device such as a mechanical arm, the interactive terminal is kept and fixed at a proper position on the side edge or the upper side of the nursing bed, a user can conveniently use the interactive terminal when lying on the nursing bed, and the multimedia information downloaded locally or by the cloud computing platform and the like can be watched through the interactive terminal.
Furthermore, a voice acquisition device is also arranged on the interactive terminal and used for acquiring voice control instructions of the user, the user can send the voice control instructions to the main control terminal after the voice control instructions are received by the interactive device, then the main control terminal sends voice signals to the cloud computing platform for voice recognition processing, receives corresponding control instructions returned by the cloud computing platform, and the main control terminal drives or controls corresponding mechanisms (such as a lifting device) to execute corresponding actions; according to the nursing bed information processing system and the nursing bed information processing method, the application program and the information processing part are completed through the set cloud computing platform, the input cost of a local main control terminal can be saved, the information processing tasks of a plurality of nursing beds can be processed in a centralized mode through the cloud computing platform, and the difficulty in setting the nursing beds is reduced.
In addition, when the cloud computing platform identifies and processes the received voice signals, the cloud computing platform specifically extracts the received voice signals through modular design, accurately identifies the corresponding control instructions according to the characteristic parameters of the voice signals and returns the control instructions to the nursing bed to execute corresponding operations, and therefore the cloud computing platform is high in reliability and accuracy.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a block diagram of a care bed of the present invention;
FIG. 2 is a block diagram of the landing gear of the present invention;
FIG. 3 is an operational view of the landing gear of the present invention;
FIG. 4 is a frame structure diagram of the main control terminal of the present invention
Fig. 5 is a block diagram of a speech recognition system in a cloud computing platform according to the present invention.
Reference numerals:
the system comprises a base support 1, a front support plate 2, a rear support plate 3, an electric push rod 4, a lifting connecting rod 5, an interaction terminal 6, a main control terminal 7, a main control terminal 8, a backrest 9, a lifting beam 21, a processing module 71, a control module 72, a communication module 73, a communication system 80, a voice recognition system 81, a preprocessing unit 811, an endpoint detection unit 812, a feature extraction unit 813, a recognition unit 814 and a database 815.
Detailed Description
The invention is further described in connection with the following application scenarios.
Referring to fig. 1-3, there is shown a multi-functional nursing bed comprising: the device comprises a base support 1, a front support plate 2, a rear support plate 3 and a lifting device;
the rear supporting plate 3 is fixed on the base support 1, the lifting beam 21 of the front supporting plate 2 is connected with the lifting device, the front supporting plate 2 can rotate around the hinge point of the front supporting plate 2 and the rear supporting plate 3 along with the pushing of the lifting device, so that the back lifting of the front supporting plate 2 is realized;
a connecting device is arranged on the side edge of the base support 1, an interactive terminal 6 is arranged at the tail end of the connecting device, and a voice acquisition device is arranged on the interactive terminal 6 and used for acquiring voice signals of a user;
the base support 1 is internally provided with a main control terminal 7, the main control terminal 7 is respectively connected with the interactive terminal 6 and the lifting device and is used for sending received user voice signals to the cloud computing platform 8, the cloud computing platform 8 identifies the user voice signals and returns corresponding control instructions to the main control terminal 7, and the main control terminal 7 drives the lifting device to execute corresponding operations according to the received control instructions.
In one embodiment, referring to fig. 2 and 3, the landing gear comprises an electric push rod 4 and a landing link 5, wherein the landing link 5 is of an L-shaped structure, the corner of the landing link 5 is hinged to the base bracket 1 through a bolt, the long end of the landing link 5 is fixedly connected with a landing beam 21 of the front support plate 2, and the landing beam 21 is slidably connected with the bottom of the front support plate 2;
one end of the electric push rod 4 is hinged on the base bracket 1, and the other end is hinged on the short end part of the lifting connecting rod 5;
the electric push rod 4 pushes the lifting connecting rod 5 to rotate around the hinged point of the lifting connecting rod and the base bracket 1, so that the back-up movement of the front supporting plate 2 is realized.
In one embodiment, the bottom of the front support plate 2 is provided with a sliding slot in the front-rear direction, and the lifting beam 21 is engaged in the sliding slot and can slide in the front-rear direction at the bottom of the front support plate 2.
In a scenario, because in the process of rotation, the front support plate 2 and the lifting rod rotate around their own hinge point, the relative distance between the front support plate 2 and the lifting rod can change, and in order that the front support plate 2 can complete rotation, the lifting beam 21 leaves a movable gap at the upper and lower positions in the chute, or the lifting beam 21 adopts a telescopic elastic component which can be stretched up and down to be connected to the bottom of the front support plate 2 and the lifting rod respectively.
Preferably, the angle at the L-shaped corner of the landing bar is 75-105 degrees.
The above-mentioned embodiment of this application provides a novel landing gear bearing structure, through the back of the body that adopts L type lifting rod cooperation electric putter to realize preceding backup pad and play the motion to the drive forearm drives the long arm and rotates around the pin joint, thereby backup pad before the jack-up, and the stationarity is high, has improved the travelling comfort that the nursing bed plays the in-process at the preceding backup pad, further improves user experience.
In one embodiment, the front end of the base bracket 1 is also provided with a backrest 9.
In one embodiment, the connection device is a mechanical arm, and the interactive terminal 6 is detachably and fixedly connected to the end of the mechanical arm.
In one embodiment, the interactive terminal 6 is provided with a display screen and a control panel.
In one embodiment, the main control device has a multimedia application built therein, and the interactive terminal 6 is used as a display device of the main control device to play an interface or a picture when the main control device runs the multimedia application.
In one scenario, the interactive terminal 6 is connected with the main control terminal 7, an application program is installed in the main control terminal 7, the interactive terminal 6 serves as a display device of the main control terminal 7, a user can use different application programs through the interactive terminal 6, such as playing videos and text contents, or only carrying out video call with another terminal, the requirements of the user on entertainment, social contact, health care, calling, nursing bed adjustment and the like are met by arranging the interactive terminal 6 on the side face of the nursing bed, and rich functional support is provided for the user.
In one scenario, a microphone is disposed on the interactive terminal 6 for receiving a voice signal of the user, wherein the interactive terminal 6 can be woken up by the voice of the user, for example, when the user sends out a specified voice signal, such as "start control"; after receiving the voice signal, the microphone is sent to the cloud computing platform 8 by the main control device for recognition, and when recognizing that the input voice signal is "start control", an instruction for waking up the interactive terminal 6 is returned.
In one embodiment, the master control terminal 7 includes a processing module 71, a control module 72, and a communication module 73;
the processing module 71 is configured to receive a user voice signal collected by the interactive terminal 6;
the communication module 73 is in wireless communication connection with the cloud computing platform 8, and is used for sending the user voice signal to the cloud computing platform 8 and receiving a control instruction returned after the cloud computing platform 8 identifies the user voice signal;
and the control module 72 is configured to control the electric push rod 4 to perform corresponding push-pull motion according to the received control instruction.
In one scenario, the control module 72 can also be connected to other external devices through a dedicated interface, and the control module 72 sends a control instruction to the other external devices (e.g., a temperature adjustment device, an alarm device, etc.) to drive the external devices to perform corresponding actions. Different external devices can be controlled through voice through the main control terminal 7, and expansibility is strong.
In order to improve the comfort of the user, the multifunctional nursing bed provided by the embodiment of the invention can adjust the lifting back angle of the front bed plate by arranging the adjustable and movable front bed plate and matching the lifting device, so that the user can adjust the angle of the front bed plate according to the most comfortable state, and the comfort is strong.
Meanwhile, the interactive terminal is arranged on the side face of the nursing bed through a connecting device such as a mechanical arm, the interactive terminal is kept and fixed at a proper position on the side edge or the upper side of the nursing bed, a user can conveniently use the interactive terminal when lying on the nursing bed, and the multimedia information downloaded locally or by the cloud computing platform and the like can be watched through the interactive terminal.
Furthermore, a voice acquisition device is also arranged on the interactive terminal and used for acquiring voice control instructions of the user, the user can send the voice control instructions to the main control terminal after the voice control instructions are received by the interactive device, then the main control terminal sends voice signals to the cloud computing platform for voice recognition processing, receives corresponding control instructions returned by the cloud computing platform, and the main control terminal drives or controls corresponding mechanisms (such as a lifting device) to execute corresponding actions; according to the nursing bed information processing method and system, the application program and the information processing part are completed through the set cloud computing platform 8, the input cost of a local main control terminal can be saved, the information processing tasks of a plurality of nursing beds can be processed simultaneously and intensively through the cloud computing platform 8, and the difficulty in setting the nursing beds is reduced.
In one embodiment, referring to fig. 4, the cloud computing platform 8 includes a communication system 80 and a speech recognition system 81,
the communication system 80 is used for receiving user voice signals transmitted by the main control terminal 7 of one or more nursing beds;
referring to fig. 5, the speech recognition system 81 includes a preprocessing unit 811, an endpoint detection unit 812, a feature extraction unit 813, and a recognition unit 814,
the preprocessing unit 811 is configured to perform enhancement denoising processing on the received user voice signal and output a preprocessed user voice signal;
the endpoint detection unit 812 is configured to perform endpoint detection on the preprocessed user voice signal, and segment a voice portion in the voice signal;
the feature extraction unit 813 is configured to perform feature extraction processing on a speech portion, acquire a logarithmic energy spectrum of the speech portion, and acquire a speech feature parameter of the speech portion according to energy distribution information of the logarithmic energy spectrum;
the identifying unit 814 is configured to compare the obtained feature parameters with feature parameters pre-stored in the database 815, identify a control instruction corresponding to the feature parameters, and return the obtained control instruction to the main control terminal 7 of the designated nursing bed through the communication system 80.
Wherein, the database 815 prestores the characteristic parameters of the user voice signal and the corresponding control instruction information;
in the above embodiment of the present invention, the cloud computing platform is provided with a communication system connected to the master control terminals in different nursing beds, and can simultaneously receive, process and feed back information (such as user voice signals) sent by different nursing beds; the centralized processing of a processing system at the cloud is realized, and the information processing pressure of a main control terminal in the nursing bed is reduced. Information interaction between the nursing beds or between the nursing beds and the cloud computing platform is facilitated.
According to the embodiment of the invention, when the cloud computing platform identifies and processes the received voice signal, the cloud computing platform specifically performs accurate feature extraction on the received voice signal through modular design, accurately identifies the corresponding control instruction according to the feature parameter of the voice signal and returns the control instruction to the nursing bed to execute corresponding operation, and the cloud computing platform has strong reliability and high accuracy.
In an embodiment, the pre-processing unit 811 performs enhanced denoising processing on the received user speech signal, specifically including:
1) performing fast Fourier transform on the obtained user voice signal y (t), and obtaining the amplitude spectrum | Y (w) | of the user voice signal;
2) adopting improved spectrum reduction function to make spectrum reduction treatment on the obtained user speech signal amplitude spectrum Y (w) l, outputting the treated user speech signal amplitude spectrum
Figure BDA0002317872220000061
Wherein the spectral subtraction function is:
Figure BDA0002317872220000062
in the formula (I), the compound is shown in the specification,
Figure BDA0002317872220000063
representing the amplitude of the w-th spectral component in the user voice signal amplitude spectrum after spectral subtraction, | Y (w) | representing the user voice signal amplitude spectrum before spectral subtraction, | N (w) | representing noise amplitude spectrum estimation, obtained by taking the first frames of voice signals of the obtained user voice signals as noise estimation, | Ymax(w) | represents the maximum value of the amplitude of each frequency spectrum component in the amplitude spectrum of the user voice signal before spectral subtraction, P represents a set spectral subtraction adjusting factor, and Q noise weight ratio is a factor adjusting factor;
3) reconstructing the magnitude spectrum of the processed user voice signal to obtain a user voice signal subjected to spectral subtraction;
4) performing wavelet decomposition on the user voice signal subjected to spectral subtraction according to a set wavelet basis and a set decomposition scale to obtain low-frequency wavelet coefficients and high-frequency wavelet coefficients of different scales;
5) performing threshold processing on the high-frequency wavelet coefficients of all scales, and outputting the high-frequency wavelet coefficients subjected to threshold processing;
6) and reconstructing according to the low-frequency wavelet coefficient and the high-frequency wavelet coefficient of each decomposition scale, and outputting the preprocessed user voice signal.
Preferably, the noise magnitude spectrum estimate is obtained from the first 3-5 frames of the acquired user speech signal as a noise estimate and fourier transforming the noise estimate.
According to the embodiment of the invention, aiming at the condition that various uncertain noises exist in the environment used by the nursing bed, so that the quality of the user voice signal received by the cloud computing platform is uneven, the embodiment also provides a preprocessing mode for the voice signal to preprocess the received user voice signal, firstly, the environmental noise existing in the voice signal is estimated according to the environmental sound end in the voice signal, and according to the self-adaptive adjustment of the voice signal amplitude spectrum, the amplitude spectrum of the voice signal is subjected to spectrum subtraction according to the improved spectrum subtraction function of the actual condition of the sound part in the voice signal, so that the environmental noise interference in the voice signal is removed; and then, random noise received in the voice signal in the transmission process is removed by adopting a wavelet threshold denoising mode, so that the preprocessing effect of the voice signal is further improved, and a foundation is laid for accurate recognition of the voice signal.
In one embodiment, the threshold processing is performed on the high-frequency wavelet coefficients of each scale in the preprocessing unit 811, and specifically includes:
and performing threshold processing on the high-frequency wavelet coefficient by adopting an improved threshold function, wherein the threshold function is as follows:
Figure BDA0002317872220000071
in the formula (I), the compound is shown in the specification,
Figure BDA0002317872220000072
represents the b high frequency wavelet coefficient of the a layer after threshold processing, ra,bThe b-th high-frequency wavelet coefficient of the a-th layer before threshold processing is shown, Z is a set threshold value, g is a set gate adjustment factor, and h is a deformation adjustment factor.
The present invention further provides an improved wavelet threshold processing function, which is divided into three parts according to the total number, wherein the wavelet coefficient is finely adjusted by using a distortion adjustment factor in the middle section with small wavelet coefficient variation, so that the distortion effect caused by processing the wavelet coefficient in the middle section by directly setting the wavelet coefficient in the middle section to zero by using the traditional wavelet coefficient can be avoided, and meanwhile, the wavelet coefficient is adjusted by introducing an exponential function through the difference between the wavelet coefficient and the threshold function in the two end sections, so that the phenomenon of 'over-processing' of the threshold function can be avoided while noise is suppressed, and the denoising effect of performing threshold processing on the high-frequency coefficient is ensured.
In one embodiment, in the preprocessing unit 811, the high-frequency wavelet coefficients are thresholded as described above, wherein the thresholds used for different decomposition scales are obtained by the following functions:
Figure BDA0002317872220000073
in the formula, ZaIndicating a set layer a threshold, rA,bRepresents the b-th high-frequency wavelet coefficient of the A-th layer, wherein A represents the maximum decomposition layer number,
Figure BDA0002317872220000074
the average value of the high-frequency wavelet coefficients of the A-th layer is shown, and L represents the number of the high-frequency wavelet coefficients.
Since the noise information reflected in the high frequency coefficient is easily distinguished when the number of decomposition layers is larger, the above-mentioned embodiment of the present invention adaptively sets the threshold according to the distribution of the high frequency coefficient in the maximum number of decomposition layers in the wavelet decomposition, and further improves the processing effect of the speech signal on the random noise in cooperation with the improved threshold processing function.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be analyzed by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims (6)

1. A multi-functional nursing bed, comprising: the lifting device comprises a base support, a front support plate, a rear support plate and a lifting device;
the rear supporting plate is fixed on the base support, the lifting cross beam of the front supporting plate is connected with the lifting device, and the front supporting plate can rotate around a hinge point of the front supporting plate and the rear supporting plate along with the pushing of the lifting device, so that the back lifting of the front supporting plate is realized;
the side of the base support is provided with a connecting device, the tail end of the connecting device is provided with an interactive terminal, and the interactive terminal is provided with a voice acquisition device which is used for acquiring voice signals of a user;
the base support is internally provided with a master control terminal, the master control terminal is respectively connected with the interaction terminal and the lifting device and used for sending received user voice signals to the cloud computing platform, the cloud computing platform identifies the user voice signals and returns corresponding control instructions to the master control terminal, and the master control terminal drives the lifting device to execute corresponding operations according to the received control instructions.
2. The multifunctional nursing bed as claimed in claim 1, wherein the lifting device comprises an electric push rod and a lifting link, the lifting link is of an L-shaped structure, wherein the corners of the lifting link are hinged to the base bracket through bolts, the long end of the lifting link is fixedly connected to the lifting beam of the front support plate, and the lifting beam is slidably connected to the bottom of the front support plate;
one end of the electric push rod is hinged to the base support, and the other end of the electric push rod is hinged to the short end part of the lifting connecting rod;
the electric push rod pushes the lifting connecting rod to rotate around the hinged point of the lifting connecting rod and the base support, so that the back lifting movement of the front support plate is realized.
3. The multifunctional nursing bed as claimed in claim 1, wherein the front end of the base frame is further provided with a backrest; and/or
The connecting device is a mechanical arm, and the interactive terminal is detachably and fixedly connected to the end part of the mechanical arm; and/or
And the interactive terminal is provided with a display screen and a control panel.
4. The multifunctional nursing bed of claim 1, wherein the main control terminal comprises a processing module, a control module and a communication module;
the processing module is used for receiving a user voice signal collected by the interactive terminal;
the communication module is in wireless communication connection with the cloud computing platform and is used for sending the user voice signal to the cloud computing platform and receiving a control instruction returned after the cloud computing platform identifies the user voice signal;
and the control module is used for controlling the electric push rod to perform corresponding push-pull movement according to the received control instruction.
5. The multifunctional nursing bed of claim 4, wherein said cloud computing platform comprises a communication system and a voice recognition system,
the communication system is used for receiving user voice signals transmitted by one or more main control terminals of the nursing bed;
the voice recognition system comprises a preprocessing unit, an endpoint detection unit, a feature extraction unit and a recognition unit,
the preprocessing unit is used for carrying out enhanced denoising processing on the received user voice signal and outputting a preprocessed user voice signal;
the endpoint detection unit is used for carrying out endpoint detection on the preprocessed user voice signal and segmenting a voice part in the voice signal;
the feature extraction unit is used for performing feature extraction processing on the voice part to obtain a logarithmic energy spectrum of the voice part and obtaining voice feature parameters of the voice part according to energy distribution information of the logarithmic energy spectrum;
the identification unit is used for comparing the acquired characteristic parameters with characteristic parameters prestored in a database, identifying a control instruction corresponding to the characteristic parameters, and returning the acquired control instruction to the main control terminal of the designated nursing bed through the communication system.
6. The multifunctional nursing bed as claimed in claim 5, wherein the pre-processing unit performs enhanced denoising processing on the received user voice signal, and specifically comprises:
1) performing fast Fourier transform on the obtained user voice signal y (t), and obtaining the amplitude spectrum | Y (w) | of the user voice signal;
2) adopting improved spectrum reduction function to make spectrum reduction treatment on the obtained user speech signal amplitude spectrum Y (w) l, outputting the treated user speech signal amplitude spectrum
Figure FDA0002317872210000021
Wherein the spectral subtraction function is:
Figure FDA0002317872210000022
in the formula (I), the compound is shown in the specification,
Figure FDA0002317872210000023
representing the amplitude of the w-th frequency spectrum component in the user voice signal amplitude spectrum after the spectrum subtraction processing, | Y (w) | representing the user voice signal amplitude spectrum before the spectrum subtraction processing, | N (w) | representing the noise amplitude spectrum estimation, according to the acquisitionIs obtained by taking the first frames of the speech signal of the user as noise estimation, | Ymax(w) | represents the maximum value of the amplitude of each frequency spectrum component in the amplitude spectrum of the user voice signal before spectral subtraction, P represents a set spectral subtraction adjusting factor, and Q noise weight ratio is a factor adjusting factor;
3) reconstructing the magnitude spectrum of the processed user voice signal to obtain a user voice signal subjected to spectral subtraction;
4) performing wavelet decomposition on the user voice signal subjected to spectral subtraction according to a set wavelet basis and a set decomposition scale to obtain low-frequency wavelet coefficients and high-frequency wavelet coefficients of different scales;
5) performing threshold processing on the high-frequency wavelet coefficients of all scales, and outputting the high-frequency wavelet coefficients subjected to threshold processing;
6) and reconstructing according to the low-frequency wavelet coefficient and the high-frequency wavelet coefficient of each decomposition scale, and outputting the preprocessed user voice signal.
Preferably, the noise magnitude spectrum estimate is obtained from the first 3-5 frames of the acquired user speech signal as a noise estimate and fourier transforming the noise estimate.
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