Embodiment
It is new to this practicality below in conjunction with attached drawing to make the purpose of this utility model, technical solution and advantage clearer
Type embodiment is described in further detail.
In the technology of existing headset detection heart rate, usual microphone is directly placed at the position of face duct in earphone
Put, for gathering the ear cavity pressure change information of eardrum generation, but due to earphone outer covering in actual use and duct
Being bonded effect might not closely, and the seal in the space that earphone outer covering is surrounded with auditory canal wall is unsatisfactory, therefore is located at
The pressure changing information that microphone in the space collects is fainter, it is difficult to detects heart rate;And due to earphone outer covering and ear
The seal in the space that road wall surrounds is poor so that the microphone in the space also suffers from the interference of outside noise, causes
Heart rate detection result is simultaneously unreliable.
Based on the above situation, a kind of mounting means of microphone is devised in earphone shown in Fig. 1 of the utility model, specifically
It may refer to Fig. 2-3;Wherein, Fig. 1 is the Headphone structure block diagram that the utility model embodiment provides, and Fig. 2 is real for the utility model
The side view of the earphone mounting structure of example offer is applied, Fig. 3 is the backsight for the earphone mounting structure that the utility model embodiment provides
Figure.
As shown in Figs. 1-3, the earphone of the present embodiment includes earphone outer covering 10, and an opening 101, ear are set on earphone outer covering 10
Closing housing 20 is provided with casing body 10, closes and microphone 30 is installed in housing 20, the surface of closing housing 20 is provided with
Contact surface 201, at 201 construction opening 101 of contact surface, and contact surface 201 is in contact with the external ear of human ear when earphone is worn;
Preferably, contact surface is elastic material, so that vibrational energy is preferably delivered in closing housing by external ear.
As shown in Figure 1, the earphone of the present embodiment further includes:Heart rate detection unit 40;
Microphone 30 gathers the heart rate signal produced in closing housing 20 by pressure change when earphone is worn;
Heart rate detection unit 40 is electrically connected with microphone 30, and heart rate detection is carried out according to heart rate signal;Heart rate detection list
Member 40 can detect the frequency (or cycle) of heart rate signal using existing autocorrelation method, threshold method etc..
It should be noted that only it is to illustrate closing housing to be square in Fig. 2 and Fig. 3, the present embodiment does not limit envelope
The shape of closed shell body, may be designed in other shapes, such as cylindricality, trapezoidal shape etc.;The present embodiment does not also limit closing housing and exists
Mounting means in earphone outer covering, in practical application, can be installed by the mode such as being bonded.
It is understood that the present embodiment Fig. 2 and Fig. 3 illustrate the mounting structure of earphone, in the design of earphone
During can also include other relevant components, the earphone cable 102 as shown in Fig. 2 or Fig. 3, loudspeaker etc., can basis
Application demand designs corresponding component, this present embodiment is not specifically limited.
External ear described in the present embodiment includes auricle and external auditory meatus, is limited to human ear and the structure of earphone, the present embodiment
Opening 101 on earphone outer covering 10 preferably designs the position being in contact when earphone is worn with external auditory meatus, so that closing
The large area as far as possible of contact surface 201 of housing 20 is contacted with external auditory meatus, strengthens the transmission effect of vibration.
As shown in Figure 1, it is to close in housing 20 just since air vibration changes position the most significant in closing housing 20
To the position of contact surface 201, therefore the present embodiment is preferably, the pickup hole 301 of microphone 30 and the contact surface of closing housing 20
201 are oppositely arranged, and the sound pressure variations for making to act on by pickup hole 301 on the vibrating diaphragm of microphone 30 are notable, strengthen Mike's elegance
The intensity of the heart rate signal collected;As shown in Fig. 3, in practical applications, contact surface 201 can also be set to protrude earphone outer covering
10 surface, further increases the contact area of contact surface and external auditory meatus;Certainly, to ensure the integrality of earphone outer covering, also may be used
To set contact surface 201 and the surface of earphone outer covering 10 to flush;Contact surface 201, the present embodiment pair can be designed according to specific requirements
This is not especially limited.
The earphone of the present embodiment is installed microphone in closing housing, is made by setting closing housing in earphone outer covering
Even if obtain the contact surface of earphone with external ear incomplete contact between, closing housing still can be very good skin vibrations being converted into envelope
The vibration of gas in closed shell body, makes microphone still to collect sufficiently strong heart rate signal.
The earphone of the present embodiment has the advantages that to have the advantages of simple structure and easy realization.
In view of in physics, for the space (without considering temperature) of closing, pressure and volume are inversely proportional, that is to say, that
The smaller pressure of volume is bigger, then the pressure acted on certain area is also bigger.After user takes earphone, due to blood vessel
Pulse pressure fluctuation causes ear wall to shrink, then can produce certain pressure change in the closing housing of earphone, pressure change letter
Number it will be detected by microphone.In general the pulse pressure fluctuation of blood vessel is very faint, and closed space is bigger, then microphone
The pressure change detected is smaller, and in order to increase the intensity for the heart rate signal that microphone detects, the present embodiment fills microphone
Put in the small shell of a closing, small shell is close to external auditory meatus, since the pulse pressure fluctuation of blood vessel causes external auditory meatus ear wall to produce
Raw to shrink vibration, this is vibrated so that the microphone in small shell detects the change of pressure;And the design of small shell can reduce
The influence of external interference signal.
In an implementation of the present embodiment, the earphone in Fig. 1 further includes filter unit and correcting unit;
Filter unit is electrically connected with microphone 30 and filter unit respectively, and the signal that microphone 30 gathers is filtered
Correcting unit is sent to after processing;Correcting unit is also electrically connected with heart rate detection unit 40, and the signal after correction is sent to
Heart rate detection unit 40;Heart rate detection unit 40 is detected the cycle of the signal after wave shape correcting, by the signal detected
The inverse in cycle obtains heart rate.
The filter unit of this implementation is preferably by bandpass filter, to filter out High-frequency Interference and low-frequency disturbance.It is high
Frequency interference is primarily referred to as outside noise, and low-frequency disturbance is primarily referred to as by limb motion, the low-frequency disturbance that such as rotary head campaign produces.
When designing bandpass filter, the cutoff frequency of frequency (0.5Hz-4Hz or so) design bandpass filter that can be based on pulse beat
Rate.
The correcting unit of this implementation can be corrected the waveform of filtered signal, and signal shape is unusual
Part is adjusted, and such as filtered signal is handled using wave crest normalization technology, obtains regular heart rate signal,
Recycle calculating cycle of the heart rate detection unit 40 to the signal after correction, calculate correct after signal cycle when, it is necessary to according to
According to normal cardiac rate (40bpm-200bpm), the change in signal strength of the adjacent time objective law such as less calculates the cycle of signal.
In a practical situation, influence of the body kinematics of people to heart rate detection is also inevitable.Because the body of people
Movement inevitably results in the vibration of ear wall, and the pressure change in the closing housing that this vibration produces can equally be examined by microphone
Measure.So, the data that microphone collects not only include the pressure changing information produced due to the pulse pressure fluctuation of blood vessel, together
When include the pressure changing information that the body kinematics of people produces in duct.In order to eliminate shadow of the body kinematics to heart rate detection
Ring, one embodiment of the utility model adds acceleration transducer in earphone, acceleration sensor apparatus in earphone not
The position of skin is contacted, than the earphone position shown in dotted line frame as shown in Figure 2.
What the signal that microphone collects included is the ear canal pressure change information caused by body kinematics, acceleration sensing
What device collected is the corresponding acceleration information of body kinematics, both signals have the same vibration frequency, based on this,
The present embodiment eliminates interference caused by the body kinematics of people by using subordinate's implementation.
In an implementation of the present embodiment, the earphone in Fig. 1 further includes acceleration transducer, adaptive-filtering list
Member and subtrator;
Acceleration transducer is electrically connected with adaptive-filtering unit, when earphone is worn, is gathered due to wearer's
The signal that body kinematics produces;
Adaptive-filtering unit is electrically connected with subtrator, and the signal that acceleration transducer gathers adaptively is filtered
Ripple processing, obtain in the signal that microphone collects due to wearer body kinematics produce signal estimation signal it is concurrent
Give subtrator;
Subtrator is electrically connected with microphone 30 and heart rate detection unit 40 respectively, the letter collected from microphone 30
The estimation signal is subtracted in number, heart rate coherent signal is obtained and is sent to heart rate detection unit 4 and adaptive-filtering unit;
Heart rate detection unit 40, is detected the cycle of heart rate coherent signal, by the inverse of the signal period detected
Obtain heart rate.
Since the space of earphone limits, it is necessary to be weighed between the function of being supported and number of devices of earphone, it is
Improve the utilization ratio of each functional component, the microphone in the present embodiment can also pick up the voice signal of user.
With reference to figure 4, the Headphone structure block diagram for the support voice pickup that Fig. 4 provides for the utility model embodiment, Fig. 4 middle ear
The structure difference of earphone is in the structure and Fig. 1 of machine, and the earphone in Fig. 4 further includes judging unit 50, high frequency compensation list
Member 60 and processor 70;
Judging unit 50 is electrically connected with high frequency compensation unit 60, judges whether the current operating mode of earphone is that voice picks up
Modulus formula;
Exemplary, if earphone is provided with operation select button, every kind of operating mode corresponds to trigger event, judges list
First 50 quarters judge whether earphone is in voice pickup mode according to the trigger event for judging to occur;Certain judging unit 50 can also
Judge whether earphone is in voice pickup mode by other generations, as judging unit 50 also with microphone be electrically connected, receive
The signal of microphone pickup, identifies whether the signal is voice signal, when being identified as voice signal, judges that earphone is in voice
Pickup mode.
High frequency compensation unit 60 is electrically connected with microphone 30 and processor 70 respectively, judges earphone in judging unit 50
When current operating mode is not voice pickup mode, received signal is not docked and is handled and is forwarded;In judging unit 50
When judging the current operating mode of earphone for voice pickup mode, sent after the signal that microphone 30 gathers is carried out high frequency compensation
To processor 70;
Processor 70 carries out corresponding signal processing according to the signal after high frequency compensation, such as sends out the signal after high frequency compensation
It is sent to loudspeaker to play out, or the signal after high frequency compensation is subjected to speech recognition, is identified and used based on speech recognition results
Family authority etc..
The voice pick-up method of the present embodiment is particularly suitable for noisy environment, in noisy environment, is transmitted by air
Come signal-to-noise ratio of voice signals can be than relatively low, it is difficult to the voice of recognition of speech signals, and the microphone of the present embodiment due in
In the good closing housing of seal, it can be used for picking up the voice letter passed over when earphone wearer speaks by skin
Number, the influence of bad border noise is relatively low so that the higher signal of noise that microphone picks up, ensures that processor recognizes standard
Really, clearly voice.
For ease of understanding the Headphone structure of the utility model, the utility model is specifically described by following embodiments.
Fig. 5 is the Headphone structure block diagram of heart rate measuring under the support motion conditions that the utility model embodiment provides, such as Fig. 5 institutes
Show, the structure difference of earphone is in the structure of earphone and Fig. 1 in Fig. 5, the earphone in Fig. 5 further include filter unit 80,
Correcting unit 90, acceleration transducer 110, adaptive-filtering unit 120 and subtrator 130, wherein, adaptive-filtering unit
120 include Parameter adjustable wave filter 1201 and parameter adaptive adjustment unit 1202.
As shown in figure 5,30 output terminal of microphone connects 80 input terminal of filter unit, the connection of 80 output terminal of filter unit is rectified
90 input terminal of positive unit, 90 output terminal of correcting unit connection 130 first input end of subtrator;Acceleration transducer 110 is distinguished
The first input end of Connecting quantity tunable filter 1201 and parameter adaptive adjustment unit 1202, parameter adaptive adjustment unit
1202 output terminal Connecting quantity tunable filter, 1,201 second input terminal, 1201 output terminal of Parameter adjustable wave filter connection subtraction list
First 130 second input terminals, adaptive 1,202 second input terminal of adjustment unit of 130 output terminal Connecting quantity of subtrator.Wherein, filter
The function of ripple unit 80 and correcting unit 90 is as it was previously stated, details are not described herein.
And the acceleration transducer 110 in Fig. 5, when earphone is worn, gather since the body kinematics of wearer is produced
Raw signal is simultaneously exported to the Parameter adjustable wave filter 1201 and parameter adaptive adjustment unit in adaptive-filtering unit 120
1202。
Parameter adaptive adjustment unit 1202, the signal collected according to acceleration transducer 110, heart rate coherent signal with
And default adaptive algorithm removes the filtering parameter of adjusting parameter tunable filter 1201.
Parameter adjustable wave filter 1201, the signal gathered using filtering parameter to acceleration transducer 110 carry out adaptive
Filtering, export the estimation signal of signal caused by the body kinematics due to wearer in the signal that Mike's elegance 30 collects to
Subtrator 130.
Subtrator 130, subtracts the estimation of the output of Parameter adjustable wave filter 1201 from the signal of the output of correcting unit 90
Signal, obtains heart rate coherent signal and exports to heart rate detection unit 40;Subtrator 130, also by heart rate coherent signal export to
Parameter adaptive adjustment unit 1202.
Here the signal and subtraction that parameter adaptive adjustment unit 1202 is gathered according to the acceleration transducer 110 of input
The heart rate coherent signal that unit 130 is fed back, the filtering parameter of Parameter adjustable wave filter 1201 is calculated using adaptive algorithm.
Heart rate detection unit 40, heart rate detection is carried out according to the relevant signal of heart rate;Exemplarily, heart rate detection unit 40
The cycle of heart rate coherent signal is detected using existing autocorrelation method, threshold method etc., by signal period for detecting
Inverse obtains heart rate.
Fig. 6 is the structure diagram for the sef-adapting filter that the utility model embodiment provides.It is as shown in fig. 6, adaptive
Wave filter is mainly made of parameter adaptive adjustment unit two parts of Parameter adjustable wave filter and adjustment filter coefficient.It is adaptive
Wave filter is answered to know the knowledge for the statistical property for having OFF signal in advance in design, it can be in the course of work of oneself
In gradually " understanding " or estimate required statistical property, and the parameter of adjust automatically oneself on this basis, to reach optimal
Filter effect.In Fig. 6, Ex (n) is desired signal, and In (n) is input signal, and Out (n) is output signal, and e (n) misses for estimation
Difference, e (n)=Ex (n)-Out (n).The filter factor of sef-adapting filter is controlled by error signal, and e (n) passes through predetermined adaptive
Answer algorithm to be adjusted adaptation coefficient, finally so that the mean square error of e (n) is minimum, export signal at this time and most approach expectation
Signal.
In the earphone shown in Fig. 5, employ sef-adapting filter and the signal that acceleration transducer collects is filtered
Ripple processing, accurately to estimate the signal produced due to human motion that microphone collects.As shown in figure 5, y1 (n) is to accelerate
The signal that degree sensor 110 collects, that is, correspond to the input signal in adaptive-filtering unit 120, y2 (n) is adaptive-filtering
The output signal of unit 120, xL (n) represent corresponding desired signal,Corresponding error signal (mainly including heart rate signal).
YL (n) and y1 (n) have certain correlation, can be by designing suitable transmission function, to cause y1 (n) by adaptive
Output signal y2 (n) after wave filter approaches yL (n).Such as can be according to minimum mean square error criterion, when error signal is square
Desired value it is minimum when, output signal y2 (n) can be used for effectively estimation yL (n), then afterwards can be by human motion pair
The interference of heart rate detection is removed from the signal that microphone collects, and removes the influence of interference signal again.Microphone 30 passes through
Filter unit 80, correcting unit signal after 90s subtract signal of the acceleration transducer 110 after adaptive-filtering, obtain and
The relevant signal message of heart rateThe detection of heart rate is carried out based on this.The bounce of heart has certain periodicity, that
It is the signal with some cycles, the signal corresponding cycle can be obtained according to autocorrelation method, according to the cycle
Reciprocal calculate heart rate.
Detailed process is as follows:
It is assumed that the signal that microphone 30 detects is:X (n)=y (n)+d (n), the letter that acceleration transducer 110 detects
Number it is y1 (n).
Wherein, y (n) is represented since pressure change signal caused by the body kinematics of people, d (n) are represented due to blood stream
Pressure change signal caused by dynamic;Y1 (n) is represented since acceleration signal caused by the body kinematics of people, n represent sampling
Time point.
X (n) signals after bandpass filtering, correction are changed into:XL (n)=yL (n)+dL (n).
Y1 (n) and y (n) is the signal that same movement produces, and y1 (n) corresponding is acceleration information, and y (n) is corresponding
Be pressure information, although both corresponding amplitudes are different, there is identical vibration frequency.In order to which y (n) is disappeared from x (n)
Remove, select sef-adapting filter (shock response is h (n)) to be filtered y1 (n), obtain y2 (n)=y1 (n) * h (n), make y2
(n) close to pressure change signal yL (n) caused by the body kinematicses due to people of the x (n) after low-pass filtering.
It can be so expressed as since duct shrinks the signal produced:。
The auto-adaptive parameter of wave filter is obtained using adaptive algorithm, and the method for realizing adaptive algorithm is very much, such as
The method that mean square error minimum can be used, that is, causeThe filter coefficient obtained when being minimized.
Try to achieveAfterwards, can be using autocorrelation method, threshold method etc. come to its week according to the periodic characteristics of the signal
Phase is detected, and reciprocal according to the cycle calculates heart rate.
Thus, the earphone in Fig. 5 can obtain heart rate of the people in various situations (quiet, movement etc.), to obtain
The health information of people, or people can be as the case may be by the amount of exercise control of oneself in a conjunction on this basis
In suitable scope.
Corresponding with aforementioned headset embodiment, the utility model additionally provides a kind of heart rate detection method embodiment,
In embodiment of the method, heart rate detection method is applied to earphone, and an opening is set on the earphone outer covering, is provided with the earphone outer covering
Housing to be closed, closes in housing and microphone is installed, the surface for closing housing sets contact surface, and contact surface is installed on opening,
And contact surface is in contact with the auricle of human ear when earphone is worn;The structure of earphone in the present embodiment is real referring to aforementioned headset
Example is applied, details are not described herein.
The specific executive mode of each step in the utility model embodiment of the method, may refer to the implementation of the utility model earphone
The particular content of example, details are not described herein.
The above, is only specific embodiment of the present utility model, under the above-mentioned teaching of the utility model, this area
Technical staff can carry out other improvement or deformation on the basis of above-described embodiment.It will be understood by those skilled in the art that
Above-mentioned specific descriptions simply preferably explain the purpose of this utility model, and the scope of protection of the utility model should be with claim
Protection domain subject to.