CN109152173B - Intelligent lighting color control method based on fine motion sensitivity cushion and heart rate variability - Google Patents
Intelligent lighting color control method based on fine motion sensitivity cushion and heart rate variability Download PDFInfo
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- CN109152173B CN109152173B CN201811071138.5A CN201811071138A CN109152173B CN 109152173 B CN109152173 B CN 109152173B CN 201811071138 A CN201811071138 A CN 201811071138A CN 109152173 B CN109152173 B CN 109152173B
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/105—Controlling the light source in response to determined parameters
-
- 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
-
- 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
- A61M2021/0044—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 sight sense
-
- 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
- A61M2230/00—Measuring parameters of the user
- A61M2230/04—Heartbeat characteristics, e.g. ECG, blood pressure modulation
- A61M2230/06—Heartbeat rate only
-
- 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
- A61M2230/00—Measuring parameters of the user
- A61M2230/63—Motion, e.g. physical activity
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
Abstract
The invention discloses a kind of intelligent lighting color control method based on fine motion sensitivity cushion and heart rate variability, fine motion sensitivity cushion include the cushion on seat, the pvdf membrane in cushion；It further include the signal acquisition processing circuit being electrically connected with pvdf membrane, signal acquisition processing circuit is electrically connected with the signal processing chip with A/D conversion function；The present invention has the color of the pipe issued using heart rate variability control intelligent lamp；The characteristics of providing convenience for mobile phone and remote control control inconvenience person.
Description
Technical field
The present invention relates to lamps and lanterns control technology fields, are based on fine motion sensitivity cushion and heart rate variability more particularly, to one kind
Intelligent lighting color control method.
Background technique
With the development of technology of Internet of things, smart home gradually comes into average family.For intelligent lamp, currently on the market
Intelligent lamp pass through cell phone application or remote controler and realize the switch and Color control of light bulb, if be unable to skilled operation mobile phone and
Remote controler, intelligent lamp will change in quality into ordinary lamps, and reduce the experience effect of intelligent lamp, limit the popularization and use of intelligent lamp.
Summary of the invention
Goal of the invention of the invention is to provide one kind to overcome the unhandy deficiency of intelligent lamp in the prior art
Intelligent lighting color control method based on fine motion sensitivity cushion and heart rate variability.
To achieve the goals above, the invention adopts the following technical scheme:
A kind of intelligent lighting color control method based on fine motion sensitivity cushion and heart rate variability, fine motion sensitivity cushion packet
Include the cushion being set on seat, the pvdf membrane in cushion；It further include the signal acquisition processing circuit being electrically connected with pvdf membrane,
Signal acquisition processing circuit is electrically connected with the signal processing chip with A/D conversion function；Include the following steps:
(1-1) people is sitting on cushion, and pvdf membrane obtains the body movement signal of human body；
(1-2) signal acquisition processing circuit is located at cushion side, bottom or other positions for being not easy to be touched, signal and adopts
Collection processing circuit collects the analog signal of body movement signal；
(1-3) analog signal is exaggerated after signal acquisition processing circuit is handled, and treated, and signal is denoted as:
Bcg [k], k=0,1,2 ... ..., N-1；Wherein, N is the length of data；Bcg [k] is transported to letter by signal acquisition processing circuit
Number processing chip in, signal processing chip carries out mean value and normalized to bcg [k]；
(1-4) signal processing chip extracts the mark that bcg [k] goes Q RR interphase of the signal after mean value and normalized
It is quasi- poor, with the light coloring of standard deviation control intelligent lamp.
It is proposed by the present invention using human-body biological signal (such as breathing, heart rate) realize intelligent bulbs switch operation and from
Dynamic color adjustment technology, can be with the both hands of thorough liberation people.
With the progress of sensor technology, so that passing through fine motion sensitive pressure sensor measurement breathing, heartbeat and other bodies
Body moves generated pressure change and is possibly realized, and the present invention provides more, more interesting choosing for the control of user's intelligent light switch
It selects.
Heart rate and heart rate variability judge health status more than people in addition to can be used as medical guidelines, carry out disease detection
Outside, for Healthy People, heart rate and the heart rate variability then real time reaction state of party, as phychology is gentle, nervous, angry
Etc. moods.Therefore the color of light can be sexually revised according to the real-time heart rate variability of party.
Preferably, further including the steps that multiplying power automatically adjusts:
Since the weight of people, breathing, heartbeat dynamics have biggish difference, using following formula to signal acquisition processing circuit
In the enlargement ratio of amplifying circuit carry out adaptive feedback regulation:
(2-1) carries out average value processing to bcg [k], and the signal calculation formula after going mean value is as follows:
(2-2) seeks the root mean square envelope of the signal after mean value；
Assuming that the length of window is W when calculating envelope, W is odd number；
(2-2-1) to preceding (W-1)/2 point, i.e. when 0≤i≤(W-1)/2, then root mean square envelope is calculated as follows:
(2-2-2) for last (W-1)/2 point, i.e. N- (W-1)/2≤i≤N-1, then root mean square envelope is by following public
Formula calculates:
When (2-2-3) is to intermediate point, i.e. (W-1)/2 < i < N- (W-1)/2, then root mean square envelope is calculated as follows:
(2-3) calculates envelope signal mean value
If env_m is greater than the pre-determined threshold upper limit, shows that enlargement ratio is too big, enlargement ratio is reduced to former times magnification
The half of rate；
If env_m is less than pre-determined threshold lower limit, show that enlargement ratio is too small, enlargement ratio is increased as former times magnification
2 times of rate；
Otherwise, keep present enlargement ratio constant.
Preferably, carrying out mean value to bcg [k] and normalized includes the following steps:
Mean value and normalized signal will be gone to be denoted as bcg_rm [k] and bcg_nm [k] respectively, calculation is as follows:
Bcg_nm [k]=bcg_rm [k]/std_rm
Wherein,
Preferably, (1-4) includes the following steps:
(4-1) sets following high-pass filter [bh_HP, ah_HP] and low-pass filter [bh_LP, ah_LP]:
[bh_HP, ah_HP]=butter (5,0.0106667, ' high ')；
[bh_LP, ah_LP]=butter (7,0.05167959)；
Wherein, 5 and 7 order for respectively indicating high-pass filter and low-pass filter, 0.0106667 is the passband of filter
Initial frequency, 0.05167959 is the stopband initial frequency of filter；Bh_HP, ah_HP are respectively that the sliding of high-pass filter is flat
Equal coefficient and autoregressive coefficient, bh_LP, ah_LP are respectively low-pass filter sliding average coefficient and autoregressive coefficient；
(4-2) goes the signal after mean value and normalized to carry out positive and negative bidirectional filtering using following formula to bcg [k]
Heart rate signal is extracted in processing, realizes the zero phase-shift of filtered signal and original signal；
Tmp=filtfilt (bh_LP, ah_LP, bcg_nm)
Heartsig=filtfilt (bh_HP, ah_HP, tmp)
Wherein, tmp is intermediate variable, and heartsig is the heart rate signal extracted；
The length of (4-3) heartsig signal is L seconds, and heartsig signal contains at least one complete interphase；
The auto-correlation coefficient of heartsig signal is calculated using following formula:
Wherein, S=Fs × L is the points of L seconds time heart rate signals；τ be value range be limited to min_interval and
Positive integer between max_interval；
Min_interval and max_interval calculation formula is as follows:
Wherein, Min_HeartBeat, Max_HeartBeat are ordinary people's minimum and maximum heart rate；
(4-4) finds out all local maximum points in the array xc that xc [τ] is formed, and arranges local maximum point
Sequence simultaneously retains maximum Z, sets location index of the local maximum point remained in former array xc as loc
[o], wherein o=0,1 ... ..., Z-1；
If only 2 local maximum points, the RR interphase being calculated are as follows:
If the points of local maximum point are greater than 2, RR interphase are as follows:
(4-5) calculates the standard deviation of nearest Q RR interphase, obtains heart rate variability SDNN:
Wherein,I3=0,1,2 ..., Q-1；(4-6) signal processing chip
In be equipped with intelligent lamp color corresponding with SDNN, signal processing chip according to SDNN control intelligent lamp switch to different colors.
Therefore, the invention has the following beneficial effects: can use the light issued using heart rate variability control intelligent lamp
Color, to make intelligent lamp hair that can improve the mood of user, user's mood gradually becomes tranquil, happy, indirect to promote
It gets well into user, a variety of fluorescent tube colors corresponding with heart rate variability can be provided, user can have and preferably make
With experience；It can be provided convenience with the both hands of thorough liberation people for mobile phone and remote control control inconvenience person.
Detailed description of the invention
Fig. 1 is a kind of flow chart of the invention.
Fig. 2 is a kind of circuit diagram of the first amplifying circuit of signal acquisition processing circuit of the invention；
Fig. 3 is a kind of circuit diagram of the first trap circuit of the invention；
Fig. 4 is a kind of functional block diagram of the invention.
In figure: signal acquisition processing circuit 1, signal processing chip 3, pvdf membrane 4, the first amplifying circuit 11, the first trap
Circuit 12, the second amplifying circuit 13, the second trap circuit 14.
Specific embodiment
The present invention will be further described with reference to the accompanying drawings and detailed description.
Embodiment as shown in Figure 1, shown in Figure 5 is a kind of intelligent lighting color based on fine motion sensitivity cushion and heart rate variability
Control method, fine motion sensitivity cushion include the cushion on seat, the pvdf membrane 4 in cushion；Further include and pvdf membrane
The signal acquisition processing circuit 1 of electrical connection, signal acquisition processing circuit and 3 electricity of signal processing chip with A/D conversion function
Connection；Include the following steps:
Step 100, people is sitting on cushion, and pvdf membrane obtains the body movement signal of human body；
Step 200, signal acquisition processing circuit is located at cushion side, bottom or other positions for being not easy to be touched, letter
Number acquisition process circuit collects the analog signal of body movement signal；
Step 300, analog signal is exaggerated after signal acquisition processing circuit is handled, signal note that treated
Are as follows: bcg [k], k=0,1,2 ... ..., N-1；Wherein, N is the length of data；Bcg [k] is transported to by signal acquisition processing circuit
In signal processing chip, signal processing chip carries out mean value and normalized to bcg [k]；
Mean value is carried out to bcg [k] and normalized includes the following steps:
Mean value and normalized signal will be gone to be denoted as bcg_rm [k] and bcg_nm [k] respectively, calculation is as follows:
Bcg_nm [k]=bcg_rm [k]/std_rm
Wherein,
Step 400, Q RR interphase of the signal after mean value and normalized is gone in signal processing chip extraction bcg [k]
Standard deviation, with the light coloring of standard deviation control intelligent lamp.
Step 410, following high-pass filter [bh_HP, ah_HP] and low-pass filter [bh_LP, ah_LP] are set:
[bh_HP, ah_HP]=butter (5,0.0106667, ' high ')；
[bh_LP, ah_LP]=butter (7,0.05167959)；
Wherein, 5 and 7 order for respectively indicating high-pass filter and low-pass filter, 0.0106667 is the passband of filter
Initial frequency, 0.05167959 is the stopband initial frequency of filter；Bh_HP, ah_HP are respectively that the sliding of high-pass filter is flat
Equal coefficient and autoregressive coefficient, bh_LP, ah_LP are respectively low-pass filter sliding average coefficient and autoregressive coefficient；
Step 420, the signal after going mean value and normalized to bcg [k] using following formula carries out positive and negative two-way filter
Wave processing, extracts heart rate signal, realizes the zero phase-shift of filtered signal and original signal；
Tmp=filtfilt (bh_LP, ah_LP, bcg_nm)
Heartsig=filtfilt (bh_HP, ah_HP, tmp)
Wherein, tmp is intermediate variable, and heartsig is the heart rate signal extracted；
Step 430, the length of heartsig signal is L seconds, and heartsig signal contains at least one complete interphase；
The auto-correlation coefficient of heartsig signal is calculated using following formula:
Wherein, S=Fs × L is the points of L seconds time heart rate signals；τ be value range be limited to min_interval and
Positive integer between max_interval；
Min_interval and max_interval calculation formula is as follows:
Wherein, Min_HeartBeat, Max_HeartBeat are ordinary people's minimum and maximum heart rate；
Step 440, xc [τ] composition array xc in find out all local maximum points, to local maximum point into
Row sorts and retains maximum Z, set location index of the local maximum point remained in former array xc as
Loc [o], wherein o=0,1 ... ..., Z-1；
If only 2 local maximum points, the RR interphase being calculated are as follows:
If the points of local maximum point are greater than 2, RR interphase are as follows:
Step 450, the standard deviation for calculating nearest Q RR interphase, obtains heart rate variability SDNN:
Wherein,I3=0,1,2 ..., Q-1；
Step 460, intelligent lamp color corresponding with SDNN, as shown in table 1, signal processing core are equipped in signal processing chip
Piece controls intelligent lamp according to SDNN and switches to different colors.
| The section SDNN | < 100 | [100,115) | [115,130) | [130,150) | [150,165) | [165,180] | > 180 |
| Color index | 0 | 1 | 2 | 3 | 4 | 5 | 6 |
| Specific color | It is red | Powder | Orange | Yellow | Green | Blue | Purple |
Table 1
In addition, further including the steps that multiplying power automatically adjusts:
Since the weight of people, breathing, heartbeat dynamics have biggish difference, using following formula to signal acquisition processing circuit
In the enlargement ratio of amplifying circuit carry out adaptive feedback regulation:
(2-1) carries out average value processing to bcg [k], and the signal calculation formula after going mean value is as follows:
(2-2) seeks the root mean square envelope of the signal after mean value；
Assuming that the length of window is W when calculating envelope, W is odd number；
(2-2-1) to preceding (W-1)/2 point, i.e. when 0≤i≤(W-1)/2, then root mean square envelope is calculated as follows:
(2-2-2) for last (W-1)/2 point, i.e. N- (W-1)/2≤i≤N-1, then root mean square envelope is by following public
Formula calculates:
When (2-2-3) is to intermediate point, i.e. (W-1)/2 < i < N- (W-1)/2, then root mean square envelope is calculated as follows:
(2-3) calculates envelope signal mean value
If env_m is greater than the pre-determined threshold upper limit, shows that enlargement ratio is too big, enlargement ratio is reduced to former times magnification
The half of rate；
If env_m is less than pre-determined threshold lower limit, show that enlargement ratio is too small, enlargement ratio is increased as former times magnification
2 times of rate；
Otherwise, keep present enlargement ratio constant.
As shown in figure 5, signal acquisition processing circuit includes the first amplifying circuit 11, the first trap circuit being sequentially connected electrically
12, the second amplifying circuit 13 and the second trap circuit 14；Anode, cathode and the ground terminal of pvdf membrane are electric with the first amplifying circuit
Connection, the second trap circuit are electrically connected with signal processing chip respectively with single-chip microcontroller.
Fig. 2 is the circuit diagram of the first amplifying circuit, and the second amplifying circuit is identical as the structure of the first amplifying circuit；Fig. 3 is
The circuit diagram of first trap circuit, the second trap circuit is identical as the structure of the first trap circuit, the model of signal processing chip
For STM32F103C8T6.
It should be understood that this embodiment is only used to illustrate the invention but not to limit the scope of the invention.In addition, it should also be understood that,
After having read the content of the invention lectured, those skilled in the art can make various modifications or changes to the present invention, these etc.
Valence form is also fallen within the scope of the appended claims of the present application.
Claims (4)
1. a kind of intelligent lighting color control method based on fine motion sensitivity cushion and heart rate variability, characterized in that fine motion is quick
Sense cushion includes the cushion on seat, the pvdf membrane (4) in cushion；It further include that the signal being electrically connected with pvdf membrane is adopted
Collect processing circuit (1), signal acquisition processing circuit is electrically connected with the signal processing chip (3) with A/D conversion function；Including such as
Lower step:
(1-1) people is sitting on cushion, and pvdf membrane obtains the body movement signal of human body；
(1-2) signal acquisition processing circuit is located at cushion side, bottom or other positions for being not easy to be touched, at signal acquisition
Reason circuit collects the analog signal of body movement signal；
(1-3) analog signal is exaggerated after signal acquisition processing circuit is handled, and treated, and signal is denoted as: bcg
[k], k=0,1,2 ... ..., N-1；Wherein, N is the length of data；Bcg [k] is transported at signal by signal acquisition processing circuit
It manages in chip, signal processing chip carries out mean value and normalized to bcg [k]；
Further include the steps that multiplying power automatically adjusts:
Since the weight of people, breathing, heartbeat dynamics have biggish difference, using following formula in signal acquisition processing circuit
The enlargement ratio of amplifying circuit carries out adaptive feedback regulation:
(1-3-1) carries out average value processing to bcg [k], and the signal calculation formula after going mean value is as follows:
J1=0,1,2 ..., N-1；I=0,1,2 ..., N-1:
(1-3-2) seeks the root mean square envelope of the signal after mean value；
Assuming that the length of window is W when calculating envelope, W is odd number；
(1-3-2-1) to preceding (W-1)/2 point, i.e. when 0≤i≤(W-1)/2, then root mean square envelope is calculated as follows:
(1-3-2-2) for last (W-1)/2 point, i.e. N- (W-1)/2≤i≤N-1,
Then root mean square envelope is calculated as follows:
When (1-3-2-3) is to intermediate point, i.e. (W-1)/2 < i < N- (W-1)/2, then root mean square envelope is calculated as follows:
(1-3-3) calculates envelope signal mean value
If env_m is greater than the pre-determined threshold upper limit, shows that enlargement ratio is too big, enlargement ratio is reduced to former enlargement ratio
Half；
If env_m is less than pre-determined threshold lower limit, show that enlargement ratio is too small, enlargement ratio is increased as former enlargement ratio
2 times；
Otherwise, keep present enlargement ratio constant；
(1-4) signal processing chip extracts the standard deviation that bcg [k] goes Q RR interphase of the signal after mean value and normalized,
With the light coloring of standard deviation control intelligent lamp.
2. the intelligent lighting color control method according to claim 1 based on fine motion sensitivity cushion and heart rate variability,
It is characterized in that carrying out mean value to bcg [k] and normalized includes the following steps:
Mean value and normalized signal will be gone to be denoted as bcg_rm [k] and bcg_nm [k] respectively, calculation is as follows:
Bcg_nm [k]=bcg_rm [k]/std_rm
Wherein,
3. the intelligent lighting color control method according to claim 1 based on fine motion sensitivity cushion and heart rate variability,
It is characterized in that (1-4) includes the following steps:
(1-4-1) sets following high-pass filter [bh_HP, ah_HP] and low-pass filter [bh_LP, ah_LP]:
[bh_HP, ah_HP]=butter (5,0.0106667, ' high ')；
[bh_LP, ah_LP]=butter (7,0.05167959)；
Wherein, 5 and 7 order for respectively indicating high-pass filter and low-pass filter, 0.0106667 originates for the passband of filter
Frequency, 0.05167959 is the stopband initial frequency of filter；Bh_HP, ah_HP are respectively the sliding average system of high-pass filter
Several and autoregressive coefficient, bh_LP, ah_LP are respectively low-pass filter sliding average coefficient and autoregressive coefficient；
(1-4-2) goes the signal after mean value and normalized to carry out at positive and negative bidirectional filtering using following formula to bcg [k]
Reason extracts heart rate signal, realizes the zero phase-shift of filtered signal and original signal；
Tmp=filtfilt (bh_LP, ah_LP, bcg_nm)
Heartsig=filtfilt (bh_HP, ah_HP, tmp)
Wherein, tmp is intermediate variable, and heartsig is the heart rate signal extracted；
The length of (1-4-3) heartsig signal is L seconds, and heartsig signal contains at least one complete interphase；
The auto-correlation coefficient of heartsig signal is calculated using following formula:
I1=0,1,2 ..., τ；I2=0,1,2 ..., S-1；
Wherein, S=Fs × L is the points of L seconds time heart rate signals；τ is that value range is limited to min_interval and max_
Positive integer between interval；
Min_interval and max_interval calculation formula is as follows:
Wherein, Min_HeartBeat, Max_HeartBeat are ordinary people's minimum and maximum heart rate；
(1-4-4) finds out all local maximum points in the array xc that xc [τ] is formed, and is ranked up to local maximum point
And retain maximum Z, set location index of the local maximum point remained in former array xc as loc [o],
Wherein, o=0,1 ... ..., Z-1；
If only 2 local maximum points, the RR interphase being calculated are as follows:
If the points of local maximum point are greater than 2, RR interphase are as follows:
(1-4-5) calculates the standard deviation of nearest Q RR interphase, obtains heart rate variability SDNN:
Wherein,I3=0,1,2 ..., Q-1；
Intelligent lamp color corresponding with SDNN is equipped in (1-4-6) signal processing chip, signal processing chip is controlled according to SDNN
Intelligent lamp switches to different colors.
4. the intelligent lighting Color control according to claim 1 or 2 or 3 based on fine motion sensitivity cushion and heart rate variability
Method, characterized in that signal acquisition processing circuit includes the first amplifying circuit (11), the first trap circuit being sequentially connected electrically
(12), the second amplifying circuit (13) and the second trap circuit (14)；Anode, cathode and the ground terminal of pvdf membrane amplify with first
Circuit electrical connection, the second trap circuit are electrically connected with signal processing chip respectively with single-chip microcontroller.
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| CN202634769U (en) * | 2012-04-16 | 2012-12-26 | 深圳市众明半导体照明有限公司 | LED light |
| US20160279381A1 (en) * | 2015-03-23 | 2016-09-29 | Adam Jude Ahne | Night terror lamp |
| CN105654063B (en) * | 2016-01-08 | 2019-04-19 | 东南大学 | Mental imagery brain power mode recognition methods based on the optimization of artificial bee colony time and frequency parameter |
| CN206641449U (en) * | 2017-04-18 | 2017-11-17 | 厦门大学 | A kind of pressure sensitivity Intelligent insole and Intelligent sole pressure monitor system |
| CN207099406U (en) * | 2017-09-11 | 2018-03-13 | 哈尔滨理工大学 | A kind of lamps in study rooms control circuit |
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