Intelligent health monitoring and hearing protection earphone

Abstract

The invention discloses an intelligent health monitoring and hearing protection earphone, and relates to the technical field of earphones, the intelligent health monitoring and hearing protection earphone comprises a power supply module, a health monitoring module, a hearing protection module and a central control module, the power supply module provides electric energy for the health monitoring module, the hearing protection module and the central control module; the health monitoring module comprises a data acquisition unit for acquiring physiological parameters of a target object, a data processing unit for processing the acquired data, a data transmission unit for transmitting the processed data and a health assessment unit for performing health assessment according to the data; the hearing protection module comprises a noise monitoring and identifying unit and a noise suppression and elimination unit; intelligent health monitoring is realized by adopting a data acquisition unit, a data processing unit, a data transmission unit and a health assessment unit; the hearing protection function is achieved through the noise monitoring and recognizing unit and the noise restraining and eliminating unit, and noise is reduced.

Description

Technical Field

[0001] The present invention relates to the field of earphones, and in particular to an intelligent health monitoring and hearing protection earphone. Background Art

[0002] Smart health monitoring and hearing protection headphones are a new type of headphone product that has emerged in recent years with the advancement of technology and the improvement of users' health awareness. The headphones have smart health monitoring functions, including heart rate monitoring, blood oxygen monitoring, body temperature monitoring and sleep monitoring; the smart health monitoring and hearing protection headphones in the prior art do not use data acquisition units, data processing units, data transmission units and health assessment units to achieve smart health monitoring; they do not use noise monitoring and identification units and noise suppression and elimination units to achieve hearing protection functions; therefore, in view of this situation, there is an urgent need to develop a smart health monitoring and hearing protection headset to meet the needs of actual use. Summary of the invention

[0003] In view of this, the present invention aims to address the deficiencies in the prior art, and its main purpose is to provide an intelligent health monitoring and hearing protection headset, which realizes intelligent health monitoring by adopting a data acquisition unit, a data processing unit, a data transmission unit and a health assessment unit; and realizes hearing protection function and reduces noise by adopting a noise monitoring and identification unit and a noise suppression and elimination unit.

[0004] To achieve the above purpose, the present invention adopts the following technical solutions:

[0005] An intelligent health monitoring and hearing protection headset comprises a power module, a health monitoring module, a hearing protection module and a central control module, wherein the power module provides electric energy to the health monitoring module, the hearing protection module and the central control module; the health monitoring module comprises a data acquisition unit for acquiring physiological parameters of a target object, a data processing unit for processing the acquired data, a data transmission unit for transmitting the processed data and a health assessment unit for performing health assessment according to the data, wherein the data acquisition unit, the data processing unit, the data transmission unit and the health assessment unit transmit data signals in sequence; and the hearing protection module comprises an electrically connected noise monitoring and identification unit and a noise suppression and elimination unit.

[0006] As a preferred solution: the noise suppression and elimination unit includes a signal processing algorithm, an environmental noise reduction algorithm and an adaptive noise reduction algorithm, and the environmental noise reduction algorithm includes the following steps:

[0007] First, environmental noise collection: use microphone equipment to collect noise in the environment and convert it into digital signals;

[0008] Second, noise modeling: Model the collected environmental noise; use adaptive filters to automatically estimate and track the characteristics of environmental noise; obtain the noise model by monitoring the statistical characteristics and spectrum distribution information of the noise; this model is used for subsequent noise suppression processing;

[0009] Noise suppression: using the established noise model to reduce or eliminate noise from the original audio signal; this is achieved through a digital filter that cancels out the noise component based on the parameters of the noise model;

[0010] Fourth, speech enhancement: by weighted processing of the original signal and the suppressed noise signal, the clarity and quality of the speech signal are retained and enhanced while suppressing the noise;

[0011] Fifth, output the processed audio signal: after being processed by the environmental noise reduction algorithm, a clear and pure audio signal is output.

[0012] As a preferred solution: the signal processing algorithm specifically includes the following steps:

[0013] First, signal preprocessing: adjust the original signal to a form that is convenient for subsequent digital processing, and then perform analog-to-digital conversion;

[0014] Second, digital signal processing: digital signal analysis, filtering and denoising, feature extraction, and signal enhancement and recovery.

[0015] As a preferred solution: the digital signal analysis specifically includes: analyzing the digital signal after analog-to-digital conversion, using a signal analyzer or a general-purpose electronic computer to perform calculations according to a given program to extract useful information from the signal.

[0016] As a preferred solution: the feature extraction specifically includes: extracting feature information with specific meaning from the signal, including frequency features, time domain features, and amplitude features, and the feature information is used for subsequent signal recognition, classification or decision-making tasks.

[0017] As a preferred solution: the analog-to-digital conversion includes: sampling: sampling the continuous signal at equal intervals in time to obtain discrete signal samples; quantization: quantizing the sampled signal amplitude and converting the continuously changing amplitude value into a finite number of discrete values; encoding: encoding the quantized signal samples and converting them into digital signals to facilitate subsequent digital processing.

[0018] As a preferred solution: the adaptive noise reduction algorithm adopts the least mean square algorithm: the formula of the least mean square algorithm is: w(n+1)=w(n)+μe(n)x(n), where w(n) is the filter coefficient vector, x(n) is the input signal vector, e(n) is the error signal, and μ is the step size parameter.

[0019] As a preferred solution: the data acquisition unit is a sensor that can monitor and measure various physiological parameters in real time.

[0020] As a preferred solution: the data transmission unit includes wired transmission and wireless transmission, and the wireless transmission includes Wi-Fi and Bluetooth.

[0021] As a preferred solution: the noise monitoring and identification unit includes a noise sensor.

[0022] Compared with the prior art, the present invention has obvious advantages and beneficial effects. Specifically, it can be seen from the above technical scheme that by adopting a power module, a health monitoring module, a hearing protection module and a central control module, the power supply, monitoring and detection, hearing protection and control of the headphones are realized, and multiple functions of the headphones are realized, thereby enhancing the experience effect; by adopting a data acquisition unit, a data processing unit, a data transmission unit and a health assessment unit, intelligent monitoring of health is realized; by adopting a noise monitoring and identification unit and a noise suppression and elimination unit, the hearing protection function is realized and noise is reduced.

[0023] In order to more clearly illustrate the structural features and effects of the present invention, it is described in detail below in conjunction with the accompanying drawings and specific embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is a flow chart of the working principle of the health monitoring module of the present invention;

[0025] Figure 2 This is a flow chart of the working principle of the smart health monitoring and hearing protection earphone of the present invention. DETAILED DESCRIPTION

[0026] The present invention Figure 1 to Figure 2 As shown, an intelligent health monitoring and hearing protection headset includes a power module, a health monitoring module, a hearing protection module and a central control module, wherein:

[0027] The power supply module provides electric energy to the health monitoring module, the hearing protection module and the central control module; the health monitoring module includes a data acquisition unit for acquiring physiological parameters of a target object, a data processing unit for processing the acquired data, a data transmission unit for transmitting the processed data and a health assessment unit for performing health assessment according to the data, and the data acquisition unit, the data processing unit, the data transmission unit and the health assessment unit transmit data signals in sequence; the hearing protection module includes an electrically connected noise monitoring and identification unit and a noise suppression and elimination unit.

[0028] The power supply module provides power to the health monitoring module, the hearing protection module and the central control module; the data acquisition unit in the health monitoring module acquires physiological parameters of the target object; the data processing unit processes the acquired data; the data transmission unit transmits the processed data; and the health assessment unit performs health assessment based on the data; the noise monitoring and identification unit in the hearing protection module monitors and identifies noise; and the noise suppression and elimination unit suppresses and eliminates noise.

[0029] By adopting the power module, health monitoring module, hearing protection module and central control module, the earphones can be provided with power, monitored and detected, protected and controlled, and multiple functions of the earphones can be realized, thus enhancing the experience effect. By adopting the data acquisition unit, data processing unit, data transmission unit and health assessment unit, intelligent monitoring of health can be realized. By adopting the noise monitoring and identification unit and the noise suppression and elimination unit, the hearing protection function can be realized and noise can be reduced.

[0030] The noise suppression and elimination unit includes a signal processing algorithm, an environmental noise reduction algorithm and an adaptive noise reduction algorithm. The environmental noise reduction algorithm includes the following steps:

[0031] First, environmental noise collection: use microphone equipment to collect noise in the environment and convert it into digital signals;

[0032] Second, noise modeling: Model the collected environmental noise; use adaptive filters to automatically estimate and track the characteristics of environmental noise; obtain the noise model by monitoring the statistical characteristics and spectrum distribution information of the noise; this model is used for subsequent noise suppression processing;

[0033] Noise suppression: using the established noise model to reduce or eliminate noise from the original audio signal; this is achieved through a digital filter that cancels out the noise component based on the parameters of the noise model;

[0034] Fourth, speech enhancement: by weighted processing of the original signal and the suppressed noise signal, the clarity and quality of the speech signal are retained and enhanced while suppressing the noise;

[0035] Fifth, output the processed audio signal: after being processed by the environmental noise reduction algorithm, a clear and pure audio signal is output.

[0036] The signal processing algorithm specifically includes the following steps:

[0037] First, signal preprocessing: adjust the original signal to a form that is convenient for subsequent digital processing, and then perform analog-to-digital conversion;

[0038] Second, digital signal processing: digital signal analysis, filtering and denoising, feature extraction, and signal enhancement and recovery.

[0039] The digital signal analysis specifically includes: analyzing the digital signal after analog-to-digital conversion, using a signal analyzer or a general-purpose electronic computer to perform calculations according to a given program to extract useful information from the signal.

[0040] The feature extraction is specifically to extract feature information with specific meaning from the signal, including frequency features, time domain features, and amplitude features. The feature information is used for subsequent signal recognition, classification or decision-making tasks.

[0041] The analog-to-digital conversion includes: sampling: sampling the continuous signal at equal intervals in time to obtain discrete signal samples; quantization: quantizing the sampled signal amplitude and converting the continuously changing amplitude value into a finite number of discrete values; encoding: encoding the quantized signal samples and converting them into digital signals for subsequent digital processing.

[0042] The adaptive noise reduction algorithm adopts the least mean square algorithm: the formula of the least mean square algorithm is: w(n+1)=w(n)+μe(n)x(n), where w(n) is the filter coefficient vector, x(n) is the input signal vector, e(n) is the error signal, and μ is the step size parameter.

[0043] The data acquisition unit is a sensor capable of monitoring and measuring various physiological parameters in real time.

[0044] The data transmission unit includes wired transmission and wireless transmission, and the wireless transmission includes Wi-Fi and Bluetooth.

[0045] The noise monitoring and recognition unit includes a noise sensor.

[0046] The usage and principle of the smart health monitoring and hearing protection headset are as follows:

[0047] The power supply module provides power to the health monitoring module, the hearing protection module and the central control module; the data acquisition unit in the health monitoring module acquires physiological parameters of the target object; the data processing unit processes the acquired data; the data transmission unit transmits the processed data; and the health assessment unit performs health assessment based on the data; the noise monitoring and identification unit in the hearing protection module monitors and identifies noise; and the noise suppression and elimination unit suppresses and eliminates noise.

[0048] The design focus of the present invention is to realize power supply, monitoring and detection, hearing protection and control of the headphones by adopting a power module, a health monitoring module, a hearing protection module and a central control module, thereby realizing multiple functions of the headphones and enhancing the experience effect; to realize intelligent monitoring of health by adopting a data acquisition unit, a data processing unit, a data transmission unit and a health assessment unit; to realize the hearing protection function and reduce noise by adopting a noise monitoring and identification unit and a noise suppression and elimination unit.

[0049] The above description is only a preferred embodiment of the present invention and does not limit the technical scope of the present invention. Therefore, any slight modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention are still within the scope of the technical solution of the present invention.

Claims

1. An intelligent health monitoring and hearing protection headset, characterized by: It includes a power module, a health monitoring module, a hearing protection module and a central control module. The power module provides power to the health monitoring module, the hearing protection module and the central control module. The health monitoring module includes a data acquisition unit for acquiring physiological parameters of a target object, a data processing unit for processing the acquired data, a data transmission unit for transmitting the processed data and a health assessment unit for performing health assessment according to the data. The data acquisition unit, the data processing unit, the data transmission unit and the health assessment unit transmit data signals in sequence. The hearing protection module includes an electrically connected noise monitoring and identification unit and a noise suppression and elimination unit.

2. The smart health monitoring and hearing protection headset according to claim 1, characterized in that: The noise suppression and elimination unit includes a signal processing algorithm, an environmental noise reduction algorithm and an adaptive noise reduction algorithm, and the environmental noise reduction algorithm includes the following steps: First, environmental noise collection: use microphone equipment to collect noise in the environment and convert it into digital signals; Second, noise modeling: Model the collected environmental noise; use adaptive filters to automatically estimate and track the characteristics of environmental noise; obtain the noise model by monitoring the statistical characteristics and spectrum distribution information of the noise; this model is used for subsequent noise suppression processing; Noise suppression: using the established noise model to reduce or eliminate noise from the original audio signal; this is achieved through a digital filter that cancels out the noise component based on the parameters of the noise model; Fourth, speech enhancement: by weighted processing of the original signal and the suppressed noise signal, the clarity and quality of the speech signal are retained and enhanced while suppressing the noise; Fifth, output the processed audio signal: after being processed by the environmental noise reduction algorithm, a clear and pure audio signal is output.

3. The smart health monitoring and hearing protection headset according to claim 2, characterized in that: The signal processing algorithm specifically includes the following steps: First, signal preprocessing: adjust the original signal to a form that is convenient for subsequent digital processing, and then perform analog-to-digital conversion; Second, digital signal processing: digital signal analysis, filtering and denoising, feature extraction, and signal enhancement and recovery.

4. The smart health monitoring and hearing protection headset according to claim 3, characterized in that: The digital signal analysis specifically includes: analyzing the digital signal after analog-to-digital conversion, using a signal analyzer or a general-purpose electronic computer to perform calculations according to a given program to extract useful information from the signal.

5. The smart health monitoring and hearing protection headset according to claim 3, characterized in that: The feature extraction specifically includes: extracting feature information with specific meaning from the signal, including frequency features, time domain features, and amplitude features. The feature information is used for subsequent signal recognition, classification or decision-making tasks.

6. The smart health monitoring and hearing protection headset according to claim 3, characterized in that: The analog-to-digital conversion includes: sampling: sampling the continuous signal at equal intervals in time to obtain discrete signal samples; quantization: quantizing the sampled signal amplitude and converting the continuously changing amplitude value into a finite number of discrete values; encoding: encoding the quantized signal samples and converting them into digital signals to facilitate subsequent digital processing.

7. The smart health monitoring and hearing protection headset according to claim 2, characterized in that: The adaptive noise reduction algorithm adopts the least mean square algorithm: the formula of the least mean square algorithm is: w(n+1)=w(n)+μe(n)x(n), where w(n) is the filter coefficient vector, x(n) is the input signal vector, e(n) is the error signal, and μ is the step size parameter.

8. The smart health monitoring and hearing protection headset according to claim 1, characterized in that: The data acquisition unit is a sensor capable of monitoring and measuring various physiological parameters in real time.

9. The smart health monitoring and hearing protection headset according to claim 1, characterized in that: The data transmission unit includes wired transmission and wireless transmission, and the wireless transmission includes Wi-Fi and Bluetooth.

10. The smart health monitoring and hearing protection headset according to claim 1, characterized in that: The noise monitoring and identifying unit includes a noise sensor.

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