CN107510449B - Heart rate analysis method and intelligent wearable device - Google Patents
Heart rate analysis method and intelligent wearable device Download PDFInfo
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- 238000004458 analytical method Methods 0.000 title claims abstract description 21
- 230000029058 respiratory gaseous exchange Effects 0.000 claims abstract description 45
- 238000000034 method Methods 0.000 claims abstract description 11
- 230000000241 respiratory effect Effects 0.000 claims abstract description 8
- 230000036387 respiratory rate Effects 0.000 claims abstract description 7
- 230000002159 abnormal effect Effects 0.000 claims description 8
- 238000001514 detection method Methods 0.000 abstract description 3
- 230000036391 respiratory frequency Effects 0.000 abstract description 3
- 230000033001 locomotion Effects 0.000 description 5
- 230000007547 defect Effects 0.000 description 2
- 230000007774 longterm Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02405—Determining heart rate variability
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02438—Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
Abstract
The invention discloses a heart rate analysis method, which aims at the prior artThe method comprises the following steps of collecting heartbeat data and respiratory data of a person to be detected in one stage, and determining the maximum heart rate Hmax, the minimum heart rate Hmin, the maximum respiratory frequency Rmax and the minimum respiratory frequency Rmin of the person to be detected; calculating the heart rate H and the respiratory rate R of the person to be measured in any time T within the time period T by a formula
U is P/Q, wherein P is the heart rate deviation rate, Q is the respiration deviation rate, and U is the fatigue degree; and if the fatigue degree U is larger than the maximum fatigue value M, judging that the heart of the person to be tested is over-fatigue and needs to rest. The fatigue degree reflects the fatigue state of one heart of a person, whether the person to be tested is tired or not is judged through the calculated fatigue degree, then the person to be tested can timely know to rest when the heart of the person to be tested is tired, and the heart rate detection data are more fully utilized.
Description
Technical Field
The invention relates to the field of health data analysis, in particular to a heart rate analysis method and intelligent wearable equipment.
Background
Intelligent wearing equipment is the general term of equipment that uses wearing formula technique to carry out intelligent design, develop can dress to daily wearing, like wrist-watch, bracelet, glasses, dress etc..
Currently, an intelligent wearable device, such as a bracelet, can detect a user's heart rate, blood pressure, number of steps taken during exercise, sleep, etc., but most of them record only while detecting, and do not make full use of detected data.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a heart rate analysis method which has the advantage of more fully utilizing heart rate detection data.
In order to achieve the purpose, the invention provides the following technical scheme:
a method for analyzing the heart rate of a patient,
collecting heartbeat data and respiration data of a person to be detected in one stage, determining the maximum heart rate Hmax and the minimum heart rate Hmin of the person to be detected, the maximum respiration rate Rmax and the minimum respiration rate Rmin of the person to be detected, and collecting the conventional heart rate Hs and the conventional respiration rate Rs of the person to be detected;
collecting heartbeat data and respiration data of a person to be detected in a T time period, and recording distribution of heartbeat, expiration time and inspiration time on a time axis;
calculating the heart rate H and the respiratory rate R of the person to be measured in any time T within the time period T by a formula
U is P/Q, wherein P is the heart rate deviation rate, Q is the respiration deviation rate, and U is the fatigue degree;
and if the fatigue degree U is larger than the maximum fatigue value M, judging that the heart of the person to be tested is over-fatigue and needs to rest.
Adopt above-mentioned technical scheme, through calculating the deviation of person's heart rate and normal rhythm of the heart of awaiting measuring, and then calculate the heart rate deviation rate at whole heart rate size scope, calculate the breathing deviation rate of breathing in the size scope simultaneously, the ratio of heart rate deviation rate and breathing deviation rate, fatigue degree reflects the fatigue state of a people heart promptly, whether fatigue of person's heart of awaiting measuring is judged through the fatigue degree of calculating, and then can in time know when person's heart of awaiting measuring is tired and rest, it is more abundant to the utilization of heart rate detected data.
And calculating the fatigue degrees U1, U2, … … and Un of the t1, t2, … … and tn within each time, calculating the average value Uav (U1+ U2+ … … + Un)/n, and if the average fatigue degree Uav is greater than the standard fatigue value S, judging that the heart of the person to be tested is fatigued for a long time and needing rest.
By adopting the technical scheme, the average fatigue degree is calculated for a plurality of times, and when the average fatigue value of the testee in a period of time is greater than the standard fatigue, the long-term fatigue of the testee is judged, and the testee needs to have a rest, so that the harm caused by the long-term fatigue of the heart of the testee is reduced.
And counting the heartbeat number h of the person to be measured in the expiration time and the heartbeat number r of the person to be measured in the inspiration time within any time T' within the time period T according to the record of the time axis, and calculating V as h/r, wherein if the respiration heartbeat ratio V is greater than a first health standard value W1, the person to be measured is judged to need to reduce the exercise intensity.
Adopt above-mentioned technical scheme, the heart rate can be fast when the person to be measured exhales, the heart rate can be slow when breathing in, heart rate and respiratory frequency can all be fast when the person to be measured moves, and the heart beat speed during expiration and the heart beat speed between when breathing in are than the ratio relation, the health standard of the person to be measured of reaction, when breathing the heart beat ratio and being greater than first health standard value, judge that the person to be measured needs to reduce the motion intensity, in order to carry out the motion of suitable intensity, reduce the excessive influence to human health of motion.
And if the duration of the respiratory heart rate V of the person to be detected is greater than the health standard value W x 90% and exceeds the first standard time Ta, judging that the person to be detected needs to reduce the exercise intensity.
By adopting the technical scheme, when the exercise intensity of the person to be tested is in the range represented by more than W x 90%, if the duration reaches the first standard time Ta, the exercise amount of the person to be tested is judged to reach the standard, the exercise intensity needs to be reduced, the exercise is reduced, and the influence of excessive exercise on the human health is avoided.
According to the record of a time axis, counting the heartbeat times h when the testee exhales and the heartbeat times r when the testee inhales in any time T1' in the T time period, and calculating V as h/r, wherein if the respiratory heartbeat ratio V is smaller than a second health standard value W2, the testee is judged to need to be strengthened to exercise.
By adopting the technical scheme, when the respiratory heart rate is smaller than the second health standard value, the person to be tested is judged to need to be strengthened for exercise, exercise with proper intensity is carried out, and the influence of too little exercise on the human health is reduced.
And calculating the range Hi to Hj of the suitable exercise heart rate of the person to be measured, wherein Hi is (Hmax-Hmin) × 0.6+ Hs, and Hj is (Hmax-Hmin) × 0.8+ Hs, and if the duration t' of the heart rate of the person to be measured in the range of the suitable exercise heart rate exceeds the second standard time Tb, judging that the exercise intensity of the person to be measured needs to be reduced.
By adopting the technical scheme, when the duration of the exercise intensity of the person to be tested in a range larger than the proper range reaches the first standard time Ta, the exercise amount of the person to be tested is judged to reach the standard, the exercise intensity needs to be reduced, the exercise is reduced, and the influence of excessive exercise on the human health is avoided.
And if the heart rate of the person to be tested is lower than the minimum heart rate Hmin within the time T, judging that the heart rate of the person to be tested is abnormal.
By adopting the technical scheme, the minimum heart rate Hmin is the minimum value of the collected heart rates of the testee, and if the heart rate of the testee is smaller than Hmin, the heart rate of the testee is abnormal and needs to be paid attention to in time.
And if the heart rate of the person to be measured is higher than the maximum heart rate Hmax within the T time, judging that the heart rate of the person to be measured is abnormal.
By adopting the technical scheme, the maximum heart rate Hmax is the maximum value of the collected heart rate of the person to be tested, and if the heart rate of the person to be tested is greater than Hmax, the heart rate of the person to be tested is abnormal and needs to be paid attention to in time.
Aiming at the defects in the prior art, the second purpose of the invention is to provide the intelligent wearable device which has the advantage of more fully utilizing heart rate detection data.
In order to achieve the purpose, the invention provides the following technical scheme:
an intelligent wearable device applies the heart rate analysis method.
By adopting the technical scheme, the intelligent wearable device fully utilizes the detected heart rate and respiratory rate, evaluates the health state and motion state of the person to be tested, monitors the health condition by utilizing the health data, and is timely and accurate.
In conclusion, the invention has the following beneficial effects:
1. calculating heart rate data of the person to be tested, comparing the analyzed data with the fatigue parameters, evaluating and early warning the heart fatigue condition of the person to be tested, and contributing to improving the health level of the person to be tested;
2. and calculating the heart rate and respiratory rate data of the person to be tested, comparing and evaluating the analyzed data with the health data, and early warning the movement condition of the healthy person, so that the health condition of the person to be tested is further improved.
Drawings
FIG. 1 is a schematic flow chart of example 1 of the present invention;
FIG. 2 is a schematic flow chart of example 2 of the present invention;
FIG. 3 is a schematic flow chart of example 3 of the present invention;
FIG. 4 is a schematic flow chart of example 4 of the present invention;
FIG. 5 is a schematic flow chart of example 5 of the present invention;
FIG. 6 is a schematic flow chart of example 6 of the present invention;
FIG. 7 is a schematic flow chart of example 7 of the present invention.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings and examples.
Example 1
A method of heart rate analysis, see fig. 1, comprises
101: collecting heartbeat data and respiration data of a person to be detected in one stage, determining the maximum heart rate Hmax and the minimum heart rate Hmin of the person to be detected, the maximum respiration rate Rmax and the minimum respiration rate Rmin of the person to be detected, and collecting the conventional heart rate Hs and the conventional respiration rate Rs of the person to be detected;
collecting heartbeat data and respiration data of a person to be detected in a T time period, and recording distribution of heartbeat, expiration time and inspiration time on a time axis;
102: calculating the heart rate H and the respiratory rate R of the person to be measured in any time T within the time period T by a formula
U is P/Q, wherein P is the heart rate deviation rate, Q is the respiration deviation rate, and U is the fatigue degree;
103: and if the fatigue degree U is larger than the maximum fatigue value M, judging that the heart of the person to be tested is over-fatigue and needs to rest.
Example 2
A method of heart rate analysis, see fig. 2, comprises
201: collecting heartbeat data and respiration data of a person to be detected in one stage, determining the maximum heart rate Hmax and the minimum heart rate Hmin of the person to be detected, the maximum respiration rate Rmax and the minimum respiration rate Rmin of the person to be detected, and collecting the conventional heart rate Hs and the conventional respiration rate Rs of the person to be detected;
collecting heartbeat data and respiration data of a person to be detected in a T time period, and recording distribution of heartbeat, expiration time and inspiration time on a time axis;
202: calculating the heart rate H and the respiratory rate R of the person to be measured in any time T within the time period T by a formula
U is P/Q, wherein P is the heart rate deviation rate, Q is the respiration deviation rate, and U is the fatigue degree;
203: calculating fatigue degrees U1, U2, … … and Un of t1, t2, … … and tn in each time, and calculating an average value Uav ═ U1+ U2+ … … + Un)/n;
204: and if the average fatigue Uav is larger than the standard fatigue value S, judging that the heart of the person to be tested is fatigued for a long time and needs to have a rest.
Example 3
A method of heart rate analysis, see fig. 3, comprises
301: collecting heartbeat data and respiration data of a person to be detected in a T time period, and recording distribution of heartbeat, expiration time and inspiration time on a time axis;
302: counting the heartbeat number h of the person to be detected in expiration and the heartbeat number r of the person to be detected in inspiration within any time T' within a time period T according to the record of a time axis, and calculating a respiration heartbeat ratio V which is h/r;
303: and if the respiratory heart rate V is larger than the first health standard value W1, judging that the person to be measured needs to reduce the exercise intensity.
Example 4
A method of heart rate analysis, see fig. 4, comprises
401: collecting heartbeat data and respiration data of a person to be detected in a T time period, and recording distribution of heartbeat, expiration time and inspiration time on a time axis;
402: counting the heartbeat number h of the person to be detected in expiration and the heartbeat number r of the person to be detected in inspiration within any time T' within a time period T according to the record of a time axis, and calculating a respiration heartbeat ratio V which is h/r;
403: and if the duration of the respiratory heart rate V of the person to be detected is greater than the health standard value W x 90% and exceeds the first standard time Ta, judging that the person to be detected needs to reduce the exercise intensity.
Example 5
A method of heart rate analysis, see FIG. 5, comprises
501: collecting heartbeat data and respiration data of a person to be detected in a T time period, and recording distribution of heartbeat, expiration time and inspiration time on a time axis;
502: counting the heartbeat number h of the testee in the expiration time and the heartbeat number r of the testee in any time T1' in the T time period according to the record of the time axis, and calculating the respiration heartbeat ratio V as h/r;
503: and if the respiratory-heartbeat ratio V is smaller than the second health standard value W2, judging that the person to be tested needs to strengthen exercise.
Example 6
A method of heart rate analysis, see fig. 6, comprises
601: collecting heartbeat data and respiration data of a person to be detected in one stage, determining the maximum heart rate Hmax and the minimum heart rate Hmin of the person to be detected, the maximum respiration rate Rmax and the minimum respiration rate Rmin of the person to be detected, and collecting the conventional heart rate Hs and the conventional respiration rate Rs of the person to be detected;
collecting heartbeat data and respiration data of a person to be detected in a T time period, and recording distribution of heartbeat, expiration time and inspiration time on a time axis;
602: calculating the range Hi to Hj of the suitable exercise heart rate of the person to be measured, wherein Hi is (Hmax-Hmin) × 0.6+ Hs, and Hj is (Hmax-Hmin) × 0.8+ Hs;
603: if the duration t' of the heart rate of the person to be measured in the range of the suitable exercise heart rate exceeds the second standard time Tb, the fact that the exercise intensity of the person to be measured needs to be reduced is judged.
Example 7
A method of heart rate analysis, see FIG. 7, comprises
701: collecting heartbeat data and respiration data of a person to be detected in a T time period, and recording distribution of heartbeat, expiration time and inspiration time on a time axis;
702: if the heart rate of the person to be tested is lower than the minimum heart rate Hmin within the time T, judging that the heart rate of the person to be tested is abnormal; and if the heart rate of the person to be measured is higher than the maximum heart rate Hmax within the T time, judging that the heart rate of the person to be measured is abnormal.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.
Claims (9)
1. A method for analyzing a heart rate, characterized in that,
collecting heartbeat data and respiration data of a person to be detected in one stage, determining the maximum heart rate Hmax and the minimum heart rate Hmin of the person to be detected, the maximum respiration rate Rmax and the minimum respiration rate Rmin of the person to be detected, and collecting the conventional heart rate Hs and the conventional respiration rate Rs of the person to be detected;
collecting heartbeat data and respiration data of a person to be detected in a T time period, and recording distribution of heartbeat, expiration time and inspiration time on a time axis;
calculating the heart rate H and the respiratory rate R of the person to be measured in any time T within the time period T by a formula
U is P/Q, wherein P is the heart rate deviation rate, Q is the respiration deviation rate, and U is the fatigue degree;
and if the fatigue degree U is larger than the maximum fatigue value M, judging that the heart of the person to be tested is over-fatigue and needs to rest.
2. Heart rate analysis method according to claim 1,
and calculating the fatigue degrees U1, U2, … … and Un of the t1, t2, … … and tn within each time, calculating the average value Uav (U1+ U2+ … + Un)/n, and if the average fatigue degree Uav is greater than the standard fatigue value S, judging that the heart of the person to be tested is fatigued for a long time and needing rest.
3. Heart rate analysis method according to claim 1,
and counting the heartbeat number h of the person to be measured in the expiration time and the heartbeat number r of the person to be measured in the inspiration time within any time T' within the time period T according to the record of the time axis, and calculating V as h/r, wherein if the respiration heartbeat ratio V is greater than a first health standard value W1, the person to be measured is judged to need to reduce the exercise intensity.
4. Heart rate analysis method according to claim 3,
and if the duration of the respiratory heart rate V of the person to be detected is greater than the health standard value W x 90% and exceeds the first standard time Ta, judging that the person to be detected needs to reduce the exercise intensity.
5. Heart rate analysis method according to claim 1,
according to the record of a time axis, counting the heartbeat times h when the testee exhales and the heartbeat times r when the testee inhales in any time T1' in the T time period, and calculating V as h/r, wherein if the respiratory heartbeat ratio V is smaller than a second health standard value W2, the testee is judged to need to be strengthened to exercise.
6. Heart rate analysis method according to claim 1,
and calculating the range Hi to Hj of the suitable exercise heart rate of the person to be measured, wherein Hi is (Hmax-Hmin) × 0.6+ Hs, and Hj is (Hmax-Hmin) × 0.8+ Hs, and if the duration t' of the heart rate of the person to be measured in the range of the suitable exercise heart rate exceeds the second standard time Tb, judging that the exercise intensity of the person to be measured needs to be reduced.
7. Heart rate analysis method according to claim 1,
and if the heart rate of the person to be tested is lower than the minimum heart rate Hmin within the time T, judging that the heart rate of the person to be tested is abnormal.
8. Heart rate analysis method according to claim 1,
and if the heart rate of the person to be measured is higher than the maximum heart rate Hmax within the T time, judging that the heart rate of the person to be measured is abnormal.
9. An intelligent wearable device, characterized in that the heart rate analysis method according to any one of claims 1 to 8 is applied.
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| CN108898795B (en) * | 2018-06-12 | 2020-03-27 | 广州小鹏汽车科技有限公司 | Pedestrian state real-time analysis method and system based on mobile device |
| CN110101381B (en) * | 2019-03-18 | 2022-03-15 | 陈国柱 | Heart fatigue degree evaluation method and device |
| CN114052674A (en) * | 2021-11-17 | 2022-02-18 | 庚辰科技(宁波)有限公司 | Heart dysfunction early warning method and system |
| CN115316985B (en) * | 2022-10-13 | 2023-04-18 | 华南师范大学 | Heart information detection method, device and equipment based on physiological signals |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2142733C1 (en) * | 1995-12-19 | 1999-12-20 | Васильков Андрей Андреевич | Method of determination of general condition of organism |
| CN1559342A (en) * | 2004-02-18 | 2005-01-05 | 中国人民解放军空军第四研究所 | Feed-back type abdominal breathing exercising apparatus |
| WO2012162505A1 (en) * | 2011-05-24 | 2012-11-29 | Nike International Ltd. | Adjustable fitness arena |
| CN104771149A (en) * | 2014-01-09 | 2015-07-15 | 白春学 | Multidimensional real-time monitoring system for six-minute walk test |
| CN105496377A (en) * | 2014-10-08 | 2016-04-20 | 吴健康 | Heart rate variability biofeedback exercise systematic method and apparatus |
| CN106166063A (en) * | 2015-05-21 | 2016-11-30 | 博晶医电股份有限公司 | Muscle power monitoring method and device |
| CN106709228A (en) * | 2015-11-12 | 2017-05-24 | 先进医照股份有限公司 | Management system and method of exercise scheme |
-
2017
- 2017-08-16 CN CN201710709735.5A patent/CN107510449B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2142733C1 (en) * | 1995-12-19 | 1999-12-20 | Васильков Андрей Андреевич | Method of determination of general condition of organism |
| CN1559342A (en) * | 2004-02-18 | 2005-01-05 | 中国人民解放军空军第四研究所 | Feed-back type abdominal breathing exercising apparatus |
| WO2012162505A1 (en) * | 2011-05-24 | 2012-11-29 | Nike International Ltd. | Adjustable fitness arena |
| CN104771149A (en) * | 2014-01-09 | 2015-07-15 | 白春学 | Multidimensional real-time monitoring system for six-minute walk test |
| CN105496377A (en) * | 2014-10-08 | 2016-04-20 | 吴健康 | Heart rate variability biofeedback exercise systematic method and apparatus |
| CN106166063A (en) * | 2015-05-21 | 2016-11-30 | 博晶医电股份有限公司 | Muscle power monitoring method and device |
| CN106709228A (en) * | 2015-11-12 | 2017-05-24 | 先进医照股份有限公司 | Management system and method of exercise scheme |
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Address after: 518000 room 1501, building e, phase II, Xinghe world, Minle community, Minzhi street, Longhua District, Shenzhen City, Guangdong Province Patentee after: SHENZHEN WAKE UP TECHNOLOGY CO.,LTD. Address before: 518131 901, building D, 1980 cultural and Creative Industry Park, Minzhi street, Longhua new area, Shenzhen, Guangdong Patentee before: SHENZHEN WAKE UP TECHNOLOGY CO.,LTD. |
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Address after: 4208, Tower A, Hongrongyuan North Station Center, Minzhi Street North Station Community, Longhua District, Shenzhen City, Guangdong Province, 518000 Patentee after: Shenzhen Weike Technology Co.,Ltd. Guo jiahuodiqu after: Zhong Guo Address before: 518000 room 1501, building e, phase II, Xinghe world, Minle community, Minzhi street, Longhua District, Shenzhen City, Guangdong Province Patentee before: SHENZHEN WAKE UP TECHNOLOGY CO.,LTD. Guo jiahuodiqu before: Zhong Guo |
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