CN109102887B - A kind of body vibration evaluation method - Google Patents
A kind of body vibration evaluation method Download PDFInfo
- Publication number
- CN109102887B CN109102887B CN201810950697.7A CN201810950697A CN109102887B CN 109102887 B CN109102887 B CN 109102887B CN 201810950697 A CN201810950697 A CN 201810950697A CN 109102887 B CN109102887 B CN 109102887B
- Authority
- CN
- China
- Prior art keywords
- point
- vibration
- oscillation
- region
- neck
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
- 238000011156 evaluation Methods 0.000 title claims abstract description 15
- 230000010355 oscillation Effects 0.000 claims abstract description 85
- 238000000034 method Methods 0.000 claims abstract description 20
- 230000002459 sustained effect Effects 0.000 claims abstract description 10
- 210000000988 bone and bone Anatomy 0.000 claims description 26
- 210000002683 foot Anatomy 0.000 claims description 20
- 210000001699 lower leg Anatomy 0.000 claims description 20
- 210000003423 ankle Anatomy 0.000 claims description 18
- 210000003127 knee Anatomy 0.000 claims description 18
- 230000014509 gene expression Effects 0.000 claims description 14
- 239000013598 vector Substances 0.000 claims description 13
- 238000004458 analytical method Methods 0.000 claims description 9
- 210000003811 finger Anatomy 0.000 claims description 6
- 241001269238 Data Species 0.000 claims description 3
- 210000004936 left thumb Anatomy 0.000 claims description 3
- ZRHANBBTXQZFSP-UHFFFAOYSA-M potassium;4-amino-3,5,6-trichloropyridine-2-carboxylate Chemical compound [K+].NC1=C(Cl)C(Cl)=NC(C([O-])=O)=C1Cl ZRHANBBTXQZFSP-UHFFFAOYSA-M 0.000 claims description 3
- 210000004935 right thumb Anatomy 0.000 claims description 3
- 235000013399 edible fruits Nutrition 0.000 claims 1
- 238000007689 inspection Methods 0.000 abstract description 5
- 238000005516 engineering process Methods 0.000 abstract description 2
- 238000005452 bending Methods 0.000 description 2
- 210000004394 hip joint Anatomy 0.000 description 2
- 208000008035 Back Pain Diseases 0.000 description 1
- 240000002853 Nelumbo nucifera Species 0.000 description 1
- 235000006508 Nelumbo nucifera Nutrition 0.000 description 1
- 235000006510 Nelumbo pentapetala Nutrition 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 231100000727 exposure assessment Toxicity 0.000 description 1
- 208000026842 neck symptom Diseases 0.000 description 1
- 238000013077 scoring method Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 208000011580 syndromic disease Diseases 0.000 description 1
- 210000000707 wrist Anatomy 0.000 description 1
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
- A61B5/1101—Detecting tremor
Landscapes
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biomedical Technology (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Pathology (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Databases & Information Systems (AREA)
- Primary Health Care (AREA)
- Physiology (AREA)
- Dentistry (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- Epidemiology (AREA)
- Biophysics (AREA)
- Heart & Thoracic Surgery (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Veterinary Medicine (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The invention belongs to human factor engineering field, the body vibration evaluation method of body Vibration identification and assessment in specifically a kind of quick exposed inspection technique.Method includes the following steps: Step 1: body skeleton point chooses and region division；Step 2: domain oscillation is assessed；Step 2 includes: that (1) domain oscillation determines；Step (1) includes: that the skeleton point centre of oscillation determines, region resonance determines and sustained vibration center determines；(2) domain oscillation scores；Step 3: whole body vibration is assessed；The present invention is a kind of introducing body-sensing technology, collect 25 skeleton points of human body and subregion, from quick exposure inspection technique, it is intended to by intercepting effectively vibration segment, domain oscillation assessment is carried out, the body vibration evaluation method of whole body vibration assessment is completed further according to region resonance time ratio and domain oscillation scoring.
Description
Technical field
Body Vibration identification the invention belongs to human factor engineering field, in specifically a kind of quick exposed inspection technique
With the body vibration evaluation method of assessment.
Background technique
Quickly exposure inspection technique (QEC) is to be established for the first time by Britain Surrey university Rohen ergonomics center in 1999
Simple, the practical quick exposure assessment method of Ergonomic Load of one kind, and revised again in 2005 perfect.Period is by real
Test the verifying of room simulation and clinical practice, it was confirmed that QEC is suitble to different levels assessment as a kind of reliable and effective appraisal procedure
Person and different assessment objects.This method considers various ergonomics undesirable elements present in workplace, including posture is born
Fuzzy logic effect between lotus, strength load, travel frequency, duration, vibration, psychology and each factor etc..
Oscillating component in this method is mainly completed by way of worker's self-appraisal now, and wherein vibration evaluation is divided into whole body
Vibration and domain oscillation, whole body vibration be to cause a key factor of back pain, domain oscillation be cause wrist syndrome and
The main occupational risk factors of neck symptom.
Summary of the invention
The present invention provides one kind from quick exposure inspection technique, it is intended to by intercepting effectively vibration segment, carry out area
Domain vibration evaluation completes the body vibration evaluation of whole body vibration assessment further according to region resonance time ratio and domain oscillation scoring
Method has filled up the blank of the technology on existing market.
Technical solution of the present invention is described with reference to the drawings as follows:
A kind of body vibration evaluation method, the appraisal procedure the following steps are included:
Step 1: body skeleton point chooses and region division；
Kinect V2 equipment is placed in the appropriate position that can capture worker's whole body skeleton point, passes through Kinect V2 equipment
Capture 25 position bone point datas of human body, wherein 25 position skeleton points include head, neck, shoulder center, left thumb, right thumb,
Left finger tip, right finger tip, left hand, the right hand, left finesse, right finesse, left elbow, right elbow, left shoulder, right shoulder, backbone, in hip joint
The heart, left stern, left knee, left ankle, left foot, right stern, right knee, right ankle, right crus of diaphragm；Wherein, A1(x1,i,y1,i,z1,i) indicate the
The coordinate points of i frame head, 25 frame per second, 1 frame 0.04 second；A2(x2,i,y2,i,z2,i) indicate the i-th frame neck coordinate points, 25 frame per second,
1 frame 0.04 second；A3(x3,i,y3,i,z3,i) indicate the i-th frame shoulder center coordinate points, 25 frame per second, 1 frame 0.04 second；
Choose head, neck, shoulder center, left hand, left finesse, left elbow, the right hand, right finesse, right elbow, left knee, left ankle, a left side
Foot, right knee, right ankle, right crus of diaphragm amount to analysis site of 15 points as body vibration evaluation, and the above skeleton point is divided into five
Region, respectively neck area, left-hand area, right-hand area, left foot region and right crus of diaphragm region；Neck area includes head, neck, shoulder
Center；Left-hand area includes left hand, left finesse, left elbow；Right-hand area includes the right hand, right finesse, right elbow；Left foot region includes a left side
Knee, left ankle, left foot；Right crus of diaphragm region includes right knee, right ankle, right crus of diaphragm；Domain oscillation will be with the vibration of the bone of different zones
Emotionally condition is assessed, and whole body vibration is assessed with the linkage situation in five regions；
Step 2: domain oscillation is assessed；
Domain oscillation assessment needs first to intercept out effectively vibration segment, then scores, that is, excludes mobile, crawl, bending
The error information generated is acted, two steps is classified into and domain oscillation is determined；Domain oscillation is specifically included to determine and region vibration
Dynamic scoring, domain oscillation determine again to include that the skeleton point centre of oscillation determines, region resonance determines, sustained vibration center determines；
(1) domain oscillation determines；
Step 1) the skeleton point centre of oscillation determines；
By taking head as an example, the bone centre of oscillation needs that the data acquired in skeleton point 1 minute are first divided into 12 groups, by group
Average treatment acquires mean center point B in groupj(j ∈ (1,2,3 ... 12)), then find out mean center point in group and put down in 1 minute
The distance l of equal central point Cj(j ∈ (1,2,3 ... 12)), passes through distance ljStandard error analysis determine whether that there are skeleton point vibrations
Center；
Specially starting device starts, and storage in every 1 minute identifies a bone point data, by the bone point data in 60 seconds
Be divided into 12 groups, every group possesses 125 data points, every group the time 5 seconds, 25 frame per second；The mean center of every group of data is found out first
PointThen 1 point is found out
Mean center point C (X, Y, Z) in clock, then find out mean center point B between groupj(Xj,Yj,Zj) with 1 minute in mean center point C (X,
Y, Z) distanceFinally find out the standard of 12 groups of data
Difference
Work as standard deviation sigma1When≤5, it is believed that there are the skeleton point centres of oscillation, otherwise go to step and 1) continue to calculate lower 1 minute,
Its same head of skeleton point calculating process；
Wherein mean center point is respectively D in the group at the neck of neck area and shoulder centerj(Qj,Wj,Rj) and Ej(qj,wj,
rj)；If neck, shoulder center and head standard deviation are all satisfied σ1When≤5, it is believed that there is Vibration Condition in neck area skeleton point, into
The resonance of row region determines, goes to step 2)；
The resonance of step 2) region determines；
Region resonance needs first to calculate two linear vectors of three point attachment in region, calculate in 1 minute 12 groups to
Angle is measured, and passes through standard deviation sigma2Whether determinating area resonates；
By taking neck area as an example, first arrive to the end every group of data of neck mean center point vectorNeck to the every group of data in shoulder center mean center point vectorThen vector angle is calculated
IfThink that region vibrates, records the vibration of this 1 minute bone and sit
3) punctuate data turn；Otherwise this 1 minute endoskeleton vibrational coordinate point data is not recorded, is gone to step 1)；
Step 3) sustained vibration center determines；
By taking head as an example, sustained vibration determines to determine primary, the data that will be acquired in skeleton point 1 minute in still every 1 minute
It is divided into multiple groups, mean center point B in group is acquired by average treatment in organizingj(j ∈ (1,2,3 ... 12)), center of a sample at this time
Point is the mean center point C after step 1) determines successfully, finds out mean center point and central point C distance l in groupj(j∈(1,
2,3…12))；Pass through distance ljStandard error analysis determine skeleton point whether be the centre of oscillation；
After specially upper 1 minute data record, continue within lower 1 minute a storage bone point data of identification, it will be in 60 seconds
Bone point data is divided into 12 groups, and every group possesses 125 data points, every group the time 5 seconds, 25 frame per second；Every group of data are found out first
Mean center point
Then mean center point B between group is found outj(Xj,Yj,Zj) and central point C (X, Y, Z) distanceFinally find out the standard deviation of 12 groups of data
Work as standard deviation sigma3When≤5, it is believed that the centre of oscillation of skeleton point still exists, and otherwise goes to step 1)；Other skeleton points
Calculating process such as head；If neck, shoulder center and head standard deviation are all satisfied σ3When≤5, it is believed that neck area skeleton point exists
Vibration Condition carries out region resonance and determines, goes to step 2)；
(2) domain oscillation scores；
Domain oscillation is divided into 3 grades, and 1 grade indicates negligible vibration, 2 grades of expression slight vibrations, 3 grades of expression high vibrations；Vibration
Dynamic rank is determined that amplitude L≤1cm regards as 1 grade by amplitude L；Amplitude 1cm < L≤3cm regards as 2 grades；Amplitude 3cm < L is regarded as
3 grades；Amplitude L needs the amplitude L of three skeleton points in averagely each regioni(i ∈ 1,2,3), the amplitude L of region endoskeleton pointi(i∈
1,2,3) average distance of the mean center point C calculated for the vibration number strong point recorded with the 1st minute；
By taking neck area as an example, the amplitude of head skeleton pointIts
Middle n represents the data volume that head stores during vibration；The amplitude of neck area isFinally according to amplitude L
Range to neck area carry out domain oscillation scoring；
Step 3: whole body vibration is assessed；
Whole body vibration assessment is divided into 4 grades, and 1 grade indicates that 2 grades of expressions need to be vigilant without influencing to vibrate, and 3 grades of expressions are badly in need of improving vibration
Dynamic, 4 grades of expressions need to stop working；Whole body vibration rank is always divided into two parts and is determined by region resonance time ratio and domain oscillation；
Determine that the time of vibration in each region, neck area time of vibration collection are combined into ζ from database first1, left-hand area vibration
Dynamic time collection is combined into ζ2, right-hand area time of vibration collection is combined into ζ3, left foot domain oscillation time collection is combined into ζ4, right crus of diaphragm domain oscillation
Time collection is combined into ζ5；Region resonance time ratio be each domain oscillation time intersection divided by time of vibration range in each region most
Long set, as
Domain oscillation total score is the average value of each domain oscillation scoring, and neck area vibration scoring is κ1, left-hand area vibration
Dynamic scoring is κ2, right-hand area vibration scoring is κ3, the scoring of left foot domain oscillation is κ4, the scoring of right crus of diaphragm domain oscillation is κ5；Region
Vibrate total score
Comprehensive score θ=ψ × η；When θ ∈ (0,0.5], be 1 grade；When θ ∈ (0.5,1.5], be 2 grades；When θ ∈ (1.5,
It 2.5], is 3 grades；When θ ∈ (2.5,3], be 4 grades.
The invention has the benefit that
The present invention can body vibration evaluation method automatic identification to real work personnel, to reduce the work of professional
It measures, reduces human cost.
Detailed description of the invention
Fig. 1 is bony areas figure of the invention.
Specific embodiment
A kind of body vibration evaluation method, detection method includes the following steps for this:
Step 1: body skeleton point chooses and region division；
Kinect V2 equipment is placed in the appropriate position that can capture worker's whole body skeleton point, passes through Kinect V2 equipment
Capture 25 position bone point datas of human body, wherein 25 position skeleton points include head, neck, shoulder center, left thumb, right thumb,
Left finger tip, right finger tip, left hand, the right hand, left finesse, right finesse, left elbow, right elbow, left shoulder, right shoulder, backbone, in hip joint
The heart, left stern, left knee, left ankle, left foot, right stern, right knee, right ankle, right crus of diaphragm；Wherein, A1(x1,i,y1,i,z1,i) indicate the
The coordinate points of i frame head, 25 frame per second, 1 frame 0.04 second；A2(x2,i,y2,i,z2,i) indicate the i-th frame neck coordinate points, 25 frame per second,
1 frame 0.04 second；A3(x3,i,y3,i,z3,i) indicate the i-th frame shoulder center coordinate points, 25 frame per second, 1 frame 0.04 second.
As shown in Figure 1, the present invention chooses head, neck, shoulder center, left hand, left finesse, left elbow, the right hand, right finesse, right elbow, a left side
Knee, left ankle, left foot, right knee, right ankle, right crus of diaphragm amount to analysis site of 15 points as body vibration evaluation, will more than
Skeleton point is divided into five regions, respectively neck area (including head, neck, shoulder center), left-hand area (left hand, left finesse, a left side
Elbow), right-hand area (right hand, right finesse, right elbow), left foot region (left knee, left ankle, left foot) and right crus of diaphragm region (right knee,
Right ankle, right crus of diaphragm).Domain oscillation will be assessed with the bone Vibration Condition of different zones, and whole body vibration is with five regions
Linkage situation is assessed.
Step 2: domain oscillation is assessed；
Domain oscillation assessment needs first to intercept out effectively vibration segment, then scores.Exclude mobile, crawl, bending
Deng the error information that other movements generate, it is classified into two steps and domain oscillation is determined.Specifically include domain oscillation determine and
Domain oscillation scoring, domain oscillation determine again to include that the skeleton point centre of oscillation determines, region resonance determines, sustained vibration center is sentenced
It is fixed.
(1) domain oscillation determines
Step 1) the skeleton point centre of oscillation determines
By taking head as an example, the bone centre of oscillation needs that the data acquired in skeleton point 1 minute are first divided into 12 groups, by group
Average treatment acquires mean center point B in groupj(j ∈ (1,2,3 ... 12)), then find out mean center point in group and put down in 1 minute
The distance l of equal central point Cj(j∈(1,2,3…12)).Pass through distance ljStandard error analysis determine whether that there are skeleton point vibrations
Center.
Specially starting device starts, and storage in every 1 minute identifies a bone point data, by the bone point data in 60 seconds
It is divided into 12 groups, every group possesses 125 data points (every group the time 5 seconds, 25 frame per second).The mean center of every group of data is found out first
PointThen 1 is found out
Mean center point C (X, Y, Z) in minute, then find out mean center point B between groupj(Xj,Yj,Zj) with 1 minute in mean center point C
(X, Y, Z) distanceFinally find out the mark of 12 groups of data
It is quasi- poor
Work as standard deviation sigma1When≤5, it is believed that there are the skeleton point centres of oscillation, otherwise go to step and 1) continue to calculate lower 1 minute.Its
Its skeleton point calculating process is as above.
Wherein mean center point is respectively D in the group at the neck of neck area and shoulder centerj(Qj,Wj,Rj) and Ej(qj,wj,
rj).By process calculated above, if neck, shoulder center and head standard deviation are all satisfied σ1When≤5, it is believed that neck area skeleton point
There is Vibration Condition, carries out region resonance and determine, go to step 2).
The resonance of step 2) region determines
Region resonance needs first to calculate two linear vectors of three point attachment in region, calculate in 1 minute 12 groups to
Angle is measured, and passes through standard deviation sigma2Whether determinating area resonates.
By taking neck area as an example, first arrive to the end every group of data of neck mean center point vectorNeck to the every group of data in shoulder center mean center point vectorThen vector angle is calculated
IfThink that region vibrates, records the vibration of this 1 minute bone and sit
3) punctuate data turn；Otherwise this 1 minute endoskeleton vibrational coordinate point data is not recorded, is gone to step 1).
Step 3) sustained vibration center determines
By taking head as an example, sustained vibration determines to determine primary, the data that will be acquired in skeleton point 1 minute in still every 1 minute
It is divided into multiple groups, mean center point B in group is acquired by average treatment in organizingj(j ∈ (1,2,3 ... 12)), center of a sample at this time
Point is the mean center point C after step 1) determines successfully, finds out mean center point and central point C distance l in groupj(j∈(1,
2,3…12))；Pass through distance ljStandard error analysis determine skeleton point whether be the centre of oscillation.
After specially upper 1 minute data record, continue within lower 1 minute a storage bone point data of identification, it will be in 60 seconds
Bone point data is divided into 12 groups, and every group possesses 125 data points (every group the time 5 seconds, 25 frame per second).Every group of data are found out first
Mean center point
Then mean center point B between group is found outj(Xj,Yj,Zj) and central point C (X, Y, Z) distanceFinally find out the standard deviation of 12 groups of data
Work as standard deviation sigma3When≤5, it is believed that the centre of oscillation of skeleton point still exists, and otherwise goes to step 1).Other skeleton points
Calculating process is as above.According to process calculated above, if neck, shoulder center and head standard deviation are all satisfied σ3When≤5, it is believed that neck
There is Vibration Condition in region skeleton point, carry out region resonance and determine, go to step 2).
(2) domain oscillation scores
Domain oscillation is divided into 3 grades, and 1 grade indicates negligible vibration, 2 grades of expression slight vibrations, 3 grades of expression high vibrations.Vibration
Dynamic rank is determined that amplitude L≤1cm regards as 1 grade by amplitude L；Amplitude 1cm < L≤3cm regards as 2 grades；Amplitude 3cm < L is regarded as
3 grades.Amplitude L needs the amplitude L of three skeleton points in averagely each regioni(i ∈ 1,2,3), the amplitude L of region endoskeleton pointi(i∈
1,2,3) average distance of the mean center point C calculated for the vibration number strong point recorded with the 1st minute.
By taking neck area as an example, the amplitude of head skeleton pointIts
Middle n represents the data volume that head stores during vibration.Neck amplitude L can be acquired according to way above2With shoulder center amplitude L3.Neck
The Oscillation Amplitude in portion region isFinally domain oscillation is carried out to neck area according to the range of vibration L to comment
Point.
Step 3: whole body vibration is assessed；
Whole body vibration assessment is divided into 4 grades, and 1 grade indicates that 2 grades of expressions need to be vigilant without influencing to vibrate, and 3 grades of expressions are badly in need of improving vibration
Dynamic, 4 grades of expressions need to stop working.Whole body vibration rank is always divided into two parts and is determined by region resonance time ratio and domain oscillation.
Determine that the time of vibration in each region, neck area time of vibration collection are combined into ζ from database first1, left-hand area vibration
Dynamic time collection is combined into ζ2, right-hand area time of vibration collection is combined into ζ3, left foot domain oscillation time collection is combined into ζ4, right crus of diaphragm domain oscillation
Time collection is combined into ζ5.Region resonance time ratio be each domain oscillation time intersection divided by time of vibration range in each region most
Long set, as
Domain oscillation total score is the average value of each domain oscillation scoring, and neck area vibration scoring is κ1, left-hand area vibration
Dynamic scoring is κ2, right-hand area vibration scoring is κ3, the scoring of left foot domain oscillation is κ4, the scoring of right crus of diaphragm domain oscillation is κ5.Region
Vibrate total score
Comprehensive score θ=ψ × η.At that time θ ∈ (0,0.5], be 1 grade；At that time θ ∈ (0.5,1.5], be 2 grades；θ ∈ at that time
(1.5,2.5], it is 3 grades；At that time θ ∈ (2.5,3], be 4 grades.
Claims (1)
1. a kind of body vibration evaluation method, which is characterized in that the appraisal procedure the following steps are included:
Step 1: body skeleton point chooses and region division；
Kinect V2 equipment is placed in the appropriate position that can capture worker's whole body skeleton point, is captured by Kinect V2 equipment
25 position bone point datas of human body, wherein 25 position skeleton points include head, neck, shoulder center, left thumb, right thumb, left finger
Sharp, right finger tip, left hand, the right hand, left finesse, right finesse, left elbow, right elbow, left shoulder, right shoulder, backbone, hip joint center, a left side
Stern, left knee, left ankle, left foot, right stern, right knee, right ankle, right crus of diaphragm；Wherein, A1(x1,i,y1,i,z1,i) indicate the i-th frame head
Coordinate points, 25 frame per second, 1 frame 0.04 second；A2(x2,i,y2,i,z2,i) indicate the i-th frame neck coordinate points, 25 frame per second, 1 frame
0.04 second；A3(x3,i,y3,i,z3,i) indicate the i-th frame shoulder center coordinate points, 25 frame per second, 1 frame 0.04 second；
Choose head, neck, shoulder center, left hand, left finesse, left elbow, the right hand, right finesse, right elbow, left knee, left ankle, left foot, the right side
Knee, right ankle, right crus of diaphragm amount to analysis site of 15 points as body vibration evaluation, and the above skeleton point is divided into five regions,
Respectively neck area, left-hand area, right-hand area, left foot region and right crus of diaphragm region；Neck area includes head, neck, shoulder center；
Left-hand area includes left hand, left finesse, left elbow；Right-hand area includes the right hand, right finesse, right elbow；Left foot region include left knee,
Left ankle, left foot；Right crus of diaphragm region includes right knee, right ankle, right crus of diaphragm；Domain oscillation will be with the bone Vibration Condition of different zones
It is assessed, whole body vibration is assessed with the linkage situation in five regions；
Step 2: domain oscillation is assessed；
Domain oscillation assessment needs first to intercept out effectively vibration segment, then scores, that is, excludes mobile, crawl, flexure operation
The error information of generation is classified into two steps and determines domain oscillation；Domain oscillation is specifically included to determine to comment with domain oscillation
Point, domain oscillation determines again to include that the skeleton point centre of oscillation determines, region resonance determines, sustained vibration center determines；
(1) domain oscillation determines；
Step 1) the skeleton point centre of oscillation determines；
By taking head as an example, the bone centre of oscillation needs that the data acquired in skeleton point 1 minute are first divided into 12 groups, by average in organizing
Processing acquires mean center point B in groupj(j ∈ (1,2,3 ... 12)), then find out in group mean center point with 1 minute in it is average in
The distance l of heart point Cj(j ∈ (1,2,3 ... 12)), passes through distance ljStandard error analysis determine whether there are skeleton point vibrate in
The heart；
Specially starting device starts, and storage in every 1 minute identifies a bone point data, and the bone point data in 60 seconds is divided into
12 groups, every group possesses 125 data points, every group the time 5 seconds, 25 frame per second；The mean center point of every group of data is found out firstThen it finds out 1 minute
Interior mean center point C (X, Y, Z), then find out mean center point B between groupj(Xj,Yj,Zj) with 1 minute in mean center point C (X, Y,
Z) distanceFinally find out the standard deviation of 12 groups of data
Work as standard deviation sigma1When≤5, it is believed that there are the skeleton point centres of oscillation, otherwise go to step and 1) continue to calculate lower 1 minute, other bones
The same head of bone point calculating process；
Wherein mean center point is respectively D in the group at the neck of neck area and shoulder centerj(Qj,Wj,Rj) and Ej(qj,wj,rj)；Such as
Fruit neck, shoulder center and head standard deviation are all satisfied σ1When≤5, it is believed that neck area skeleton point has Vibration Condition, carries out area
Domain resonance determines, goes to step 2)；
The resonance of step 2) region determines；
Region resonance needs first to calculate two linear vectors of the three point attachment in region, calculates 12 groups of vector folders in 1 minute
Angle, and pass through standard deviation sigma2Whether determinating area resonates；
By taking neck area as an example, first arrive to the end every group of data of neck mean center point vectorNeck to the every group of data in shoulder center mean center point vectorThen vector angle is calculated
IfThink that region vibrates, records this 1 minute bone vibrational coordinate point
3) data turn；Otherwise this 1 minute endoskeleton vibrational coordinate point data is not recorded, is gone to step 1)；
Step 3) sustained vibration center determines；
By taking head as an example, sustained vibration determines to determine within still every 1 minute that once, the data acquired in skeleton point 1 minute are divided into
Multiple groups acquire mean center point B in group by average treatment in organizingj(j ∈ (1,2,3 ... 12)), center of a sample's point at this time are
Step 1) determine successfully after mean center point C, find out mean center point and a central point C distance l in groupj(j∈(1,2,3…
12))；Pass through distance ljStandard error analysis determine skeleton point whether be the centre of oscillation；
After specially upper 1 minute data record, continue within lower 1 minute a storage bone point data of identification, by the bone in 60 seconds
Point data is divided into 12 groups, and every group possesses 125 data points, every group the time 5 seconds, 25 frame per second；The flat of every group of data is found out first
Equal central pointThen
Find out mean center point B between groupj(Xj,Yj,Zj) and central point C (X, Y, Z) distanceFinally find out the standard deviation of 12 groups of data
Work as standard deviation sigma3When≤5, it is believed that the centre of oscillation of skeleton point still exists, and otherwise goes to step 1)；Other skeleton points calculated
Cheng Rutou；If neck, shoulder center and head standard deviation are all satisfied σ3When≤5, it is believed that neck area skeleton point has vibration feelings
Condition carries out region resonance and determines, goes to step 2)；
(2) domain oscillation scores；
Domain oscillation is divided into 3 grades, and 1 grade indicates negligible vibration, 2 grades of expression slight vibrations, 3 grades of expression high vibrations；Vibration level
It is not determined by amplitude L, amplitude L≤1cm regards as 1 grade；Amplitude 1cm < L≤3cm regards as 2 grades；Amplitude 3cm < L regards as 3 grades；
Amplitude L needs the amplitude L of three skeleton points in averagely each regioni(i ∈ 1,2,3), the amplitude L of region endoskeleton pointi(i∈1,2,
3) average distance of the mean center point C calculated for the vibration number strong point recorded with the 1st minute；
By taking neck area as an example, the amplitude of head skeleton pointWherein n generation
The data volume that table header stores during vibration；The amplitude of neck area isFinally according to the model of amplitude L
It encloses and domain oscillation scoring is carried out to neck area；
Step 3: whole body vibration is assessed；
Whole body vibration assessment is divided into 4 grades, and 1 grade indicates that 2 grades of expressions need to be vigilant without influencing to vibrate, 3 grades of expressions urgent need improvement vibrations, and 4
Grade indicates to stop working；Whole body vibration rank is always divided into two parts and is determined by region resonance time ratio and domain oscillation；
Determine that the time of vibration in each region, neck area time of vibration collection are combined into ζ from database first1, left-hand area time of vibration
Collection is combined into ζ2, right-hand area time of vibration collection is combined into ζ3, left foot domain oscillation time collection is combined into ζ4, right crus of diaphragm domain oscillation time collection
It is combined into ζ5；Region resonance time ratio is the intersection of each domain oscillation time divided by the longest collection of time of vibration range in each region
It closes, as
Domain oscillation total score is the average value of each domain oscillation scoring, and neck area vibration scoring is κ1, left-hand area vibration scoring
For κ2, right-hand area vibration scoring is κ3, the scoring of left foot domain oscillation is κ4, the scoring of right crus of diaphragm domain oscillation is κ5；Domain oscillation is total
Point
Comprehensive scoreWhenIt is 1 grade；WhenIt is 2 grades；WhenIt is 3 grades；
WhenIt is 4 grades.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810950697.7A CN109102887B (en) | 2018-08-20 | 2018-08-20 | A kind of body vibration evaluation method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810950697.7A CN109102887B (en) | 2018-08-20 | 2018-08-20 | A kind of body vibration evaluation method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109102887A CN109102887A (en) | 2018-12-28 |
| CN109102887B true CN109102887B (en) | 2019-04-16 |
Family
ID=64850360
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810950697.7A Expired - Fee Related CN109102887B (en) | 2018-08-20 | 2018-08-20 | A kind of body vibration evaluation method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109102887B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110047591B (en) * | 2019-04-23 | 2023-02-21 | 吉林大学 | A method for assessing doctor's posture during surgical operation |
| US20230326595A1 (en) * | 2022-04-08 | 2023-10-12 | Kyndryl, Inc. | E-health insights of whole body vibration health monitoring |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3298955A1 (en) * | 2016-09-23 | 2018-03-28 | Tata Consultancy Services Limited | Method and system for determining postural balance of a person |
| CN107831897B (en) * | 2017-11-17 | 2018-09-07 | 吉林大学 | RULA evaluating methods in a kind of operation of Virtual assemble |
| CN108170281B (en) * | 2018-01-19 | 2018-09-28 | 吉林大学 | A kind of work posture analysis system measuring method |
-
2018
- 2018-08-20 CN CN201810950697.7A patent/CN109102887B/en not_active Expired - Fee Related
Also Published As
| Publication number | Publication date |
|---|---|
| CN109102887A (en) | 2018-12-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107750147B (en) | System and method for providing guidance for robotic medical procedures | |
| CN111111111B (en) | A real-time fitness monitoring system and method | |
| Fang et al. | Depression prevalence in postgraduate students and its association with gait abnormality | |
| CN113707268A (en) | Rehabilitation training evaluation method and system | |
| CN105832343B (en) | Multidimensional visual hand function rehabilitation quantitative evaluation system and evaluation method | |
| Bachynskyi et al. | Is motion capture-based biomechanical simulation valid for hci studies? study and implications | |
| CN109102887B (en) | A kind of body vibration evaluation method | |
| CN104412269B (en) | Method and apparatus for neuromotor rehabilitation using an interactive scene system | |
| CN106327495A (en) | Biological bone recognition method, device and system | |
| Cao et al. | Physiological function assessment based on kinect v2 | |
| KR102013705B1 (en) | Apparatus and method for recognizing user's posture in horse-riding simulator | |
| CN113974612A (en) | A method and system for automatic assessment of upper limb motor function in stroke patients | |
| Tang et al. | An artificial neural network algorithm for the evaluation of postoperative rehabilitation of patients | |
| CN117558428B (en) | An imaging optimization method and system for liver MRI | |
| Rozaire et al. | A systematic review of instrumented assessments for upper limb function in cerebral palsy: current limitations and future directions | |
| CN117653084A (en) | Method for evaluating scoliosis rehabilitation state by using gait | |
| Le Roy et al. | Three-Dimensional Upper Limb Movement Analysis in Children and Adolescents With Brachial Plexus Birth Injury: A Systematic Review | |
| CN108898119B (en) | A kind of flexure operation recognition methods | |
| KR102075403B1 (en) | Balance evaluation and training method of standing posture using rgbd camera and system comprising the same | |
| CN112949031A (en) | Upper limb movement space range calculation system, construction method and use method thereof | |
| CN109117799B (en) | An Evaluation Method Based on NIOSH Lifting Equation | |
| CN110852137B (en) | Individual stress assessment method | |
| Sudarsan | Using wearable sensors to evaluate material handling operator’s fatigue in repetitive activities: A design of experiments approach | |
| Khan et al. | An experimental investigation on postural risks in floor mopping | |
| WO2006027869A1 (en) | Movement learning assisting device and method, movement learning assisting program, and recording medium on which the program is recorded |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20190416 Termination date: 20200820 |