CN112998661A - Non-contact type children pain identification method and system - Google Patents
Non-contact type children pain identification method and system Download PDFInfo
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- CN112998661A CN112998661A CN202110248834.4A CN202110248834A CN112998661A CN 112998661 A CN112998661 A CN 112998661A CN 202110248834 A CN202110248834 A CN 202110248834A CN 112998661 A CN112998661 A CN 112998661A
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- 238000000034 method Methods 0.000 title claims abstract description 21
- 230000001815 facial effect Effects 0.000 claims abstract description 27
- 230000036544 posture Effects 0.000 claims abstract description 27
- 230000001121 heart beat frequency Effects 0.000 claims abstract description 24
- 230000036391 respiratory frequency Effects 0.000 claims abstract description 15
- 230000035565 breathing frequency Effects 0.000 claims description 9
- 230000036387 respiratory rate Effects 0.000 claims description 4
- 238000001514 detection method Methods 0.000 abstract description 14
- 238000011156 evaluation Methods 0.000 abstract description 5
- 239000000428 dust Substances 0.000 description 3
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- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4824—Touch or pain perception evaluation
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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
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
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- A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
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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
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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
- A61B5/74—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
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2503/00—Evaluating a particular growth phase or type of persons or animals
- A61B2503/04—Babies, e.g. for SIDS detection
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Abstract
The invention relates to a non-contact type children pain recognition method and a non-contact type children pain recognition system, wherein the method comprises the steps of continuously detecting facial micro-expressions and body postures of a target infant through a camera, continuously detecting heartbeat frequency and respiratory frequency of the target infant through radar waves, further calculating to obtain a current pain index of the target infant according to the detected facial micro-expressions, body postures, heartbeat frequency, respiratory frequency and a preset pain index calculation rule, further judging whether the current pain index of the target infant is not smaller than a preset early warning threshold value or not, and further sending an early warning signal if the current pain index of the target infant is not smaller than the preset early warning threshold value; otherwise, no early warning signal is sent out. The camera and the radar waves are responsible for detection work, uninterrupted detection can be realized, medical staff are liberated, the emergency situation of the baby can not be missed, the baby can be taken care of more comprehensively, in addition, the subjectivity of manual scoring is eliminated when the pain index is calculated, and the evaluation result is more reliable.
Description
Technical Field
The invention relates to the technical field of intelligent medical treatment, in particular to a non-contact type children pain identification method and system.
Background
Infants are required to be highly concerned when they live in a warm-keeping box or are under anesthetic resuscitation. However, in the case of short supply and short demand of medical resources, medical staff can only check the condition of the infant regularly in many times, and the check is scored and evaluated according to the Glasgow Coma Scale (GCS). By adopting the mode, the emergency situation of the baby is easily missed, the workload of the medical staff is increased, the medical staff is subjective in the judging process, and the fluctuation of the evaluation result is large.
Disclosure of Invention
The present invention is directed to a method for identifying pain of a child in a non-contact manner, and a system for identifying pain of a child in a non-contact manner.
The technical scheme adopted by the invention for solving the technical problems is as follows:
in one aspect, a non-contact pain recognition method for children is provided, wherein the method comprises the following steps:
continuously detecting the facial micro-expression and the body posture of the target infant through a camera, and continuously detecting the heartbeat frequency and the respiratory frequency of the target infant through radar waves;
calculating to obtain the current pain index of the target infant according to the detected facial micro-expression, body posture, heartbeat frequency, respiratory frequency and a preset pain index calculation rule;
judging whether the current pain index of the target infant is not less than a preset early warning threshold value or not;
if the current pain index of the target infant is not less than a preset early warning threshold value, sending an early warning signal; otherwise, no early warning signal is sent out.
In another aspect, a non-contact type pain recognition system for children is provided, which is based on the above non-contact type pain recognition method for children, and includes:
the image pickup unit is used for continuously detecting the facial micro-expression and the body posture of the target baby;
the radar wave unit is used for continuously detecting the heartbeat frequency and the respiratory frequency of the target infant;
the calculating unit is used for calculating to obtain the current pain index of the target infant according to the detected facial micro-expression, body posture, heartbeat frequency, respiratory frequency and a preset pain index calculating rule;
the judging unit is used for judging whether the current pain index of the target infant is not less than a preset early warning threshold value or not;
and the early warning unit is used for sending out an early warning signal when the current pain index of the target infant is not less than a preset early warning threshold value.
The invention has the beneficial effects that: on the one hand, the camera and the radar waves are responsible for detection work, uninterrupted detection can be realized, medical staff are liberated, the emergency situation of the baby can not be missed, the baby can be taken care of more comprehensively, and in addition, the subjectivity of manual scoring is eliminated when the pain index is calculated, so that the evaluation result is more reliable. On the other hand, during shooting and radar wave detection, the human body does not need to be contacted, the observation distance of breathing and heartbeat is 0.1-2 meters, the influence of environmental factors such as temperature, humidity, noise, airflow, dust, illumination and the like is avoided, the detection can be continuously and stably carried out, the output power is low, and the human body cannot be damaged.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the present invention will be further described with reference to the accompanying drawings and embodiments, wherein the drawings in the following description are only part of the embodiments of the present invention, and for those skilled in the art, other drawings can be obtained without inventive efforts according to the accompanying drawings:
fig. 1 is a flowchart illustrating a method for non-contact pain recognition of children according to an embodiment of the present invention;
FIG. 2 is a block diagram of a non-contact pain recognition system for children according to a second embodiment of the present invention;
figure 3 is the existing Glasgow Coma Scale (GCS).
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without inventive step, are within the scope of the present invention.
Example one
The embodiment of the invention provides a non-contact type children pain identification method, as shown in fig. 1, which comprises the following steps:
step S1: the method comprises the steps of continuously detecting the facial micro-expression and the body posture of a target baby through a camera, and continuously detecting the heartbeat frequency and the breathing frequency of the target baby through radar waves.
Step S2: and calculating to obtain the current pain index of the target infant according to the detected facial micro-expression, body posture, heartbeat frequency, respiratory frequency and a preset pain index calculation rule.
In this embodiment:
the measurable facial micro-expression and body posture of the camera are respectively A1 and A2Seed growing;
the measurable heart rate frequency range and respiratory rate range of radar waves are respectively divided into A3Segment A4A segment;
the pain index calculation rule includes:
a first sub-rule corresponding to the facial micro-expression, wherein the content of the first sub-rule comprises A1A plurality of first scores corresponding to the facial micro-expression one by one;
a second sub-rule corresponding to the body posture, wherein the content of the second sub-rule comprises the A2A plurality of second scores corresponding to the body postures one by one;
a third sub-rule corresponding to the heartbeat frequency, wherein the content of the third sub-rule comprises A3A plurality of third scores corresponding to the segment heartbeat frequency ranges one to one;
a fourth sub-rule corresponding to the breathing frequency, wherein the content of the fourth sub-rule comprises A4A plurality of fourth fractions corresponding to the segment respiratory frequency ranges one to one;
pain index is the first score + the second score + the third score + the fourth score.
As an example: the facial micro expression includes pleasure, power of attorney, and pain, and the content of the first sub rule includes 1 point corresponding to pleasure, 2 points corresponding to power of attorney, and 3 points corresponding to pain. The first sub-rule to the fourth sub-rule are the same, and the deeper the abnormality degree is, the higher the corresponding score is.
Step S3: and judging whether the current pain index of the target infant is not less than a preset early warning threshold value.
In this embodiment: and regularly calculating the total times that the pain index of the target infant is not less than the early warning threshold value by the present time. So that the medical staff can visually see the change condition of the target baby.
Step S4: if the current pain index of the target infant is not less than a preset early warning threshold value, sending an early warning signal; otherwise, no early warning signal is sent out.
In this embodiment: the early warning signal comprises one or any combination of an optical signal, an acoustic signal and an image signal.
In this embodiment: and sending out early warning signals to the medical care platform and/or the medical care personnel terminal.
The method provided by the embodiment specifically includes the steps that the facial micro-expression and the body posture of a target baby are continuously detected through a camera, the heartbeat frequency and the breathing frequency of the target baby are continuously detected through radar waves, then the current pain index of the target baby is obtained through calculation according to the detected facial micro-expression, body posture, heartbeat frequency, breathing frequency and a preset pain index calculation rule, further, whether the current pain index of the target baby is not smaller than a preset early warning threshold value or not is judged, and then if the current pain index of the target baby is not smaller than the preset early warning threshold value, an early warning signal is sent out; otherwise, no early warning signal is sent out. On the one hand, the camera and the radar waves are responsible for detection work, uninterrupted detection can be realized, medical staff are liberated, the emergency situation of the baby can not be missed, the baby can be taken care of more comprehensively, and in addition, the subjectivity of manual scoring is eliminated when the pain index is calculated, so that the evaluation result is more reliable. On the other hand, during shooting and radar wave detection, the human body does not need to be contacted, the observation distance of breathing and heartbeat is 0.1-2 meters, the influence of environmental factors such as temperature, humidity, noise, airflow, dust, illumination and the like is avoided, the detection can be continuously and stably carried out, the output power is low, and the human body cannot be damaged.
Example two
The embodiment of the invention provides a non-contact type children pain recognition system, and based on the non-contact type children pain recognition method provided by the embodiment one, as shown in fig. 2, the non-contact type children pain recognition system comprises:
a camera unit 10 for continuously detecting the facial micro-expressions and body gestures of the target infant;
the radar wave unit 11 is used for continuously detecting the heartbeat frequency and the breathing frequency of the target infant;
the calculating unit 12 is configured to calculate a current pain index of the target infant according to the detected facial micro-expression, body posture, heartbeat frequency, respiratory frequency and a preset pain index calculation rule;
the judging unit 13 is used for judging whether the current pain index of the target infant is not less than a preset early warning threshold value;
and the early warning unit 14 is used for sending out an early warning signal when the current pain index of the target infant is not less than a preset early warning threshold value.
Wherein, the measurable facial micro expression and body posture of the camera are respectively A1A2 species;
the heart rate range and the respiratory rate range which can be measured by radar waves are divided into an A3 section and an A4 section respectively;
the pain index calculation rule includes:
a first sub-rule corresponding to the face micro-expressions, wherein the contents of the first sub-rule comprise a plurality of first scores corresponding to the A1 face micro-expressions one by one;
a second sub-rule corresponding to the body postures, wherein the content of the second sub-rule comprises a plurality of second scores corresponding to the A2 body postures in a one-to-one manner;
a third sub-rule corresponding to the heartbeat frequency, wherein the content of the third sub-rule comprises a plurality of third scores corresponding to the heartbeat frequency ranges of the segment A3 one by one;
a fourth sub-rule corresponding to the breathing frequency, wherein the content of the fourth sub-rule comprises a plurality of fourth scores corresponding to the A4 segment breathing frequency ranges in a one-to-one manner;
pain index is the first score + the second score + the third score + the fourth score.
Wherein, the early warning signal comprises one or any combination of an optical signal, an acoustic signal and an image signal.
The early warning unit is used for sending early warning signals to the medical care platform and/or the medical care personnel terminal.
The calculation unit is further used for calculating the total times that the pain index of the target infant is not smaller than the early warning threshold value at the moment.
According to the system provided by the embodiment, on one hand, the camera shooting unit and the radar wave unit are responsible for detection work, uninterrupted detection can be realized, medical staff are liberated, the emergency situation of the baby can not be missed, the baby can be more comprehensively cared, and in addition, the subjectivity of manual scoring is eliminated when the pain index is calculated, so that the evaluation result is more reliable. On the other hand, during shooting and radar wave detection, the human body does not need to be contacted, the observation distance of breathing and heartbeat is 0.1-2 meters, the influence of environmental factors such as temperature, humidity, noise, airflow, dust, illumination and the like is avoided, the detection can be continuously and stably carried out, the output power is low, and the human body cannot be damaged.
It will be understood that modifications and variations can be made by persons skilled in the art in light of the above teachings and all such modifications and variations are intended to be included within the scope of the invention as defined in the appended claims.
Claims (10)
1. A method for non-contact pain recognition in children, comprising the steps of:
continuously detecting the facial micro-expression and the body posture of the target infant through a camera, and continuously detecting the heartbeat frequency and the respiratory frequency of the target infant through radar waves;
calculating to obtain the current pain index of the target infant according to the detected facial micro-expression, body posture, heartbeat frequency, respiratory frequency and a preset pain index calculation rule;
judging whether the current pain index of the target infant is not less than a preset early warning threshold value or not;
if the current pain index of the target infant is not less than a preset early warning threshold value, sending an early warning signal; otherwise, no early warning signal is sent out.
2. A method of non-contact pain recognition in children as claimed in claim 1, wherein:
the measurable facial micro-expression and body posture of the camera are respectively A1、A2Seed growing;
the measurable heart rate frequency range and respiratory rate range of radar waves are respectively divided into A3Segment A4A segment;
the pain index calculation rule includes:
a first sub-rule corresponding to the facial micro-expression, wherein the content of the first sub-rule comprises A1A plurality of first scores corresponding to the facial micro-expression one by one;
a second sub-rule corresponding to the body posture, wherein the content of the second sub-rule comprises the A2A plurality of second scores corresponding to the body postures one by one;
a third sub-rule corresponding to the heartbeat frequency, wherein the content of the third sub-rule comprises A3A plurality of third scores corresponding to the segment heartbeat frequency ranges one to one;
a fourth sub-rule corresponding to the breathing frequency, wherein the content of the fourth sub-rule comprises A4A plurality of fourth fractions corresponding to the segment respiratory frequency ranges one to one;
pain index is the first score + the second score + the third score + the fourth score.
3. The method of claim 1, wherein the warning signal comprises one or any combination of a light signal, an acoustic signal, and an image signal.
4. A method as claimed in claim 1, wherein the early warning signal is sent to a medical platform and/or a medical staff terminal.
5. The method of claim 1, wherein the number of times that the pain index of the target infant is not less than the pre-alarm threshold is calculated periodically.
6. A non-contact type pain recognition system for children, based on the non-contact type pain recognition method for children of any one of claims 1 to 5, comprising:
the image pickup unit is used for continuously detecting the facial micro-expression and the body posture of the target baby;
the radar wave unit is used for continuously detecting the heartbeat frequency and the respiratory frequency of the target infant;
the calculating unit is used for calculating to obtain the current pain index of the target infant according to the detected facial micro-expression, body posture, heartbeat frequency, respiratory frequency and a preset pain index calculating rule;
the judging unit is used for judging whether the current pain index of the target infant is not less than a preset early warning threshold value or not;
and the early warning unit is used for sending out an early warning signal when the current pain index of the target infant is not less than a preset early warning threshold value.
7. A system for contactless identification of pain in children as claimed in claim 6, wherein:
the measurable facial micro-expression and body posture of the camera are respectively A1、A2Seed growing;
the measurable heart rate frequency range and respiratory rate range of radar waves are respectively divided into A3Segment A4A segment;
the pain index calculation rule includes:
a first sub-rule corresponding to the facial micro-expression, wherein the content of the first sub-ruleComprises with A1A plurality of first scores corresponding to the facial micro-expression one by one;
a second sub-rule corresponding to the body posture, wherein the content of the second sub-rule comprises the A2A plurality of second scores corresponding to the body postures one by one;
a third sub-rule corresponding to the heartbeat frequency, wherein the content of the third sub-rule comprises A3A plurality of third scores corresponding to the segment heartbeat frequency ranges one to one;
a fourth sub-rule corresponding to the breathing frequency, wherein the content of the fourth sub-rule comprises A4A plurality of fourth fractions corresponding to the segment respiratory frequency ranges one to one;
pain index is the first score + the second score + the third score + the fourth score.
8. A system as claimed in claim 6, wherein the warning signal comprises one or any combination of a light signal, an acoustic signal, an image signal.
9. The system of claim 6, wherein the pre-warning unit is configured to send a pre-warning signal to the healthcare platform and/or the healthcare worker terminal.
10. The system of claim 6, wherein the computing unit is further configured to periodically compute a total number of times that the pain index of the target infant is not less than the pre-alarm threshold value by the present time.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114220543A (en) * | 2021-12-15 | 2022-03-22 | 四川大学华西医院 | Body and mind pain index evaluation method and system for tumor patient |
| CN115227203A (en) * | 2022-07-15 | 2022-10-25 | 中山大学 | Personalized pain recognition method and system |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102663450A (en) * | 2012-03-21 | 2012-09-12 | 南京邮电大学 | Method for classifying and identifying neonatal pain expression and non-pain expression based on sparse representation |
| CN102961164A (en) * | 2012-12-06 | 2013-03-13 | 中国人民解放军第四军医大学 | Non-contact stethoscope based on millimeter-wave radar |
| US20150025335A1 (en) * | 2014-09-09 | 2015-01-22 | Lakshya JAIN | Method and system for monitoring pain of patients |
| CN105476602A (en) * | 2015-11-25 | 2016-04-13 | 方姝阳 | Non-contact human vital sign measurement method and device |
| CN107595254A (en) * | 2017-10-17 | 2018-01-19 | 黄晶 | A kind of infrared ray health monitor method and system |
| CN107928250A (en) * | 2017-11-22 | 2018-04-20 | 宁波德葳智能科技有限公司 | A kind of contactless millimeter wave intelligence bassinet |
| CN109199348A (en) * | 2018-09-13 | 2019-01-15 | 芜湖博高光电科技股份有限公司 | A kind of intelligent life sign detection device |
| CN109893107A (en) * | 2019-03-15 | 2019-06-18 | 上海泓邃信息科技有限公司 | A kind of cognitive disorder old man vital sign and keenly feel monitoring clothes and monitoring method |
| CN110338777A (en) * | 2019-06-27 | 2019-10-18 | 嘉兴深拓科技有限公司 | Merge the pain Assessment method of heart rate variability feature and facial expression feature |
| CN111543953A (en) * | 2020-05-20 | 2020-08-18 | 陈剑 | System capable of collecting patient sedation and analgesia information |
-
2021
- 2021-03-08 CN CN202110248834.4A patent/CN112998661A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102663450A (en) * | 2012-03-21 | 2012-09-12 | 南京邮电大学 | Method for classifying and identifying neonatal pain expression and non-pain expression based on sparse representation |
| CN102961164A (en) * | 2012-12-06 | 2013-03-13 | 中国人民解放军第四军医大学 | Non-contact stethoscope based on millimeter-wave radar |
| US20150025335A1 (en) * | 2014-09-09 | 2015-01-22 | Lakshya JAIN | Method and system for monitoring pain of patients |
| CN105476602A (en) * | 2015-11-25 | 2016-04-13 | 方姝阳 | Non-contact human vital sign measurement method and device |
| CN107595254A (en) * | 2017-10-17 | 2018-01-19 | 黄晶 | A kind of infrared ray health monitor method and system |
| CN107928250A (en) * | 2017-11-22 | 2018-04-20 | 宁波德葳智能科技有限公司 | A kind of contactless millimeter wave intelligence bassinet |
| CN109199348A (en) * | 2018-09-13 | 2019-01-15 | 芜湖博高光电科技股份有限公司 | A kind of intelligent life sign detection device |
| CN109893107A (en) * | 2019-03-15 | 2019-06-18 | 上海泓邃信息科技有限公司 | A kind of cognitive disorder old man vital sign and keenly feel monitoring clothes and monitoring method |
| CN110338777A (en) * | 2019-06-27 | 2019-10-18 | 嘉兴深拓科技有限公司 | Merge the pain Assessment method of heart rate variability feature and facial expression feature |
| CN111543953A (en) * | 2020-05-20 | 2020-08-18 | 陈剑 | System capable of collecting patient sedation and analgesia information |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114220543A (en) * | 2021-12-15 | 2022-03-22 | 四川大学华西医院 | Body and mind pain index evaluation method and system for tumor patient |
| CN114220543B (en) * | 2021-12-15 | 2023-04-07 | 四川大学华西医院 | Body and mind pain index evaluation method and system for tumor patient |
| CN115227203A (en) * | 2022-07-15 | 2022-10-25 | 中山大学 | Personalized pain recognition method and system |
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