CN104771255A - Implementation method for identifying motion models based on cerebral-cortex hemoglobin information - Google Patents
Implementation method for identifying motion models based on cerebral-cortex hemoglobin information Download PDFInfo
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Abstract
The invention discloses an implementation method for identifying motion models based on cerebral-cortex hemoglobin information. A testee self-controls the starting and stopping time under four motion models; as for the change rate of cerebral-cortex hemoglobin concentration, the statistical analysis technique is adopted to analyze the statistical difference between oxyhaemoglobin and deoxyhemoglobin in various motion related areas of the cerebral cortex under different motion models, and based on the statistical characteristics, two relative motion trends of getting-up and sitting-down, as well as stair ascending and descending, are distinguished; and on this basis, the difference between oxyhaemoglobin and deoxyhemoglobin in various motion areas of the cerebral cortex is analyzed, together with the both-leg relative motion trends and the new statistical characteristics, the specific motion model is distinguished. The non-intrusive NIRS technology is adopted to record the cerebral-cortex hemoglobin concentration information of a human body without external stimulation or preliminary training, and restrictions on the test environment and the testee are less; the advantage of ideal time and space resolution is achieved; and the intelligence of walking aids is improved.
Description
Technical field
The present invention relates to a kind of implementation method based on cortex hemoglobin information identification motor pattern, belong to brain-computer interface direction.
Background technology
According to the 6th national census China total number of people and the Second China National Sample Survey on Disability, China people with disability total number of persons and disabled number that is all kinds of, different brackets at the end of 2010 are calculated: the ratio wherein shared by physical disabilities is 29.08% to the maximum.In addition, China progresses into aging society, 2012, and the whole nation 60 years old and above aging population 19390 ten thousand people, account for 14.3% of total population; Wherein 65 years old and above population 12,714 ten thousand people, account for 9.4% of total population.According to scholarly forecast, to the year two thousand twenty, China 60 years old and over-65s population proportion are respectively 16.23% and 11.30%; The year two thousand thirty is 22.34% and 15.21%; The year two thousand forty is 25% and 20%.When can find out the year two thousand thirty from above-mentioned data, China will enter " super senior type " society.And to the year two thousand fifty, the population of more than 60 years old will reach about 400,000,000, the proportion accounting for total population will more than 25.2%, and when the time comes, just have 1 old people in the middle of every 4 Chinese, China will become the country of height aging.Along with the aging of population structure, having the elderly patient of dyskinesia to get more and more, is assist them to realize independent ambulation, again return the Main Means of mainstream of society for these have the people with disability of dyskinesia and the elderly to be equipped with walk-aid equipment.
In order to improve the intelligent of the equipment of helping the disabled of helping the elderly, a lot of research institution is devoted to research and develop the novel product of helping the disabled of helping the elderly based on brain-computer interface technology.But also there is following subject matter in current brain-computer interface technology:
(1) the brain-computer interface technology of implanted or semi-implantation type achieves breakthrough, but is implanted by microelectrode in the cerebral gray matter of experimenter or on subdural cerebral cortex, may cause immunoreation and callus; But also the psychology of depositing after the implantation and ethical issues, be still unsuitable for extensive use at present.
(2) the brain information measuring technology of non-intrusion type comprises the technology such as electroencephalogram (EEG), magneticencephalogram (MEG), functional magnetic resonance imaging image (fMRI), Squares Framework for PET Image (PET) and near infrared spectrum cerebral function imaging (NIRS); Wherein the spatial resolution of fMRI and PET technology is higher, but temporal resolution is low, and in test process, health is often confined to resting state, has very large binding character; The application of MEG requires fully to shield external magnetic field; So current mainly EEG and NIRS technology is applied in the research and development of products of helping the elderly and helping the disabled.But based in the brain-computer interface systematic study of EEG signal, conventional view-based access control model Evoked ptential (VEP) and these two class methods of event related potential (P300) need extra stimulating apparatus to provide stimulation to produce Evoked ptential, and depend on certain sensation of people, as vision, force experimenter synchronous with outside stimulus, easily cause visual fatigue due to long-time operation or reduce the significance of P300 current potential, the corresponding brain-computer interface operating time is unsuitable long.And spontaneous brain electricity figure depends on the spontaneous ergasia of user, only have special thinking processes could produce detectable cerebration, need experimenter to carry out a large amount of training to produce the brain electricity of AD HOC, affect by subjective factors larger.Therefore, experiment is many to be completed under given conditions, and need experimenter to focus one's attention on, the action of realization is simply limited, and lack naturality and motility, practicality is not strong.The temporal resolution of NIRS technology is higher than fMRI, lower than EEG; Spatial resolution is higher than EEG, lower than fMRI; If application NIRS technical testing brain biological information carries out pattern recognition, be conducive to kinetic measurement under natural environment, but the extraction rate of bio information is on the low side.
Summary of the invention
In order to overcome above-mentioned defect, the invention provides that a kind of motility is higher, practicality is stronger, action is abundanter and naturally based on the implementation method of cortex hemoglobin information identification motor pattern, the method is used for walk-aid equipment and controls to contribute to improving the intelligent of walk-aid equipment.
Motor pattern in this patent content, all refers to lower limb motion mode without specified otherwise, repeats no more in literary composition.
The present invention in order to the technical scheme solving its technical problem and adopt is: a kind of implementation method based on cortex hemoglobin information identification motor pattern, comprises the following steps:
(1) four kinds of motor patterns are set, namely upper and lower step and rise, sit: described upper and lower step movement is also called the non-mirror image periodic movement of both legs; Described, sit motion be also called both legs specular motion; Initial and the termination time of experimenter's Autonomous Control motion under these four kinds of motor patterns;
(2) the cortex motion association region of test is divided into front motor region, left side, front motor region, right side, motion auxiliary region, front motion auxiliary region and primary motor area five associated regions;
(3) apply the hemoglobin concentration of near infrared light cerebral function imaging equipment to experimenter each motion association region corticocerebral under four kinds of motor patterns and carry out record;
(4) test subject concentration information of different hemoglobin species in each motion association region of cerebral cortex under four kinds of motor patterns;
(5) experimenter wears test headgear, and cortex five motion association regions of test headgear and head place one to one;
(6) experimenter grasps test speed according to the speed of action in daily life, first does the first group task: rise, sit action, experimenter according to daily, sit and to be accustomed to and speed completes This move; And repeating four times, the beginning of each action and termination are by experimenter's Autonomous Control, and experimental implementation person is responsible for labelling mark;
(7) experimenter grasps test speed according to the speed of action in daily life, then does the second group task: upper and lower step action, experimenter according to daily, sit custom and speed completes This move; And repeating four times, beginning and the termination of each action control by experimenter oneself, and experimental implementation person is responsible for labelling mark;
(8) based on tested hemoglobin data, applied statistics analytic process is analyzed each motion association region of cerebral cortex under different motor patterns and is included the statistical discrepancy of oxygen hemoglobin and deoxyhemoglobin rate of change; Using 0.5 as pvalues, i.e. the threshold value of p value; When p≤0.05, represent statistical discrepancy significance; When p >=0.5, represent statistics difference nonsignificance;
(9) on the basis of step (8), the difference of Oxygenated blood Lactoferrin rate of change and the difference of deoxyhemoglobin rate of change between each cerebral cortex motion association region is analyzed respectively;
(10) motor pattern of difference condition to experimenter analyzed according to step (8) and (9) identifies;
(11) in front motor region, right side: if there is significant statistical discrepancy between Oxygenated blood Lactoferrin rate of change and deoxyhemoglobin rate of change, then the non-mirror image cycle repeating motion of both legs is thought;
If there is no statistical discrepancy between Oxygenated blood Lactoferrin rate of change and deoxyhemoglobin rate of change, and statistical result p >=0.5, then think that both legs specular moves;
(12) for both legs non-mirror image cycle repeating motion trend, in front motor region, left side: if there is significant statistical discrepancy between Oxygenated blood Lactoferrin rate of change and deoxyhemoglobin rate of change, then ' getting out of a predicament or an embarrassing situation ' motor pattern is judged as YES;
If there is no statistical discrepancy between Oxygenated blood Lactoferrin rate of change and deoxyhemoglobin rate of change, and p >=0.5, be then judged as ' topping bar ' motor pattern;
(13) for both legs specular movement tendency, if there is significant difference between the deoxyhemoglobin rate of change of each moving region, then ' sitting down ' motor pattern is judged as;
If there is no notable difference between the deoxyhemoglobin rate of change of each moving region, and p >=0.5, be then judged as ' standing up ' motor pattern.
As a further improvement on the present invention, in step (2): the front motor region in front motor region, left side and right side mainly participates in the preparation of motor control and stance adjustment; Motion auxiliary region mainly participates in motor behavior plan and two limbs coordination of tasks controls; Front motion auxiliary region mainly participates in motor behavior plan; Primary motor area primary responsibility provides motion control commands.
As a further improvement on the present invention, the model of described near infrared light cerebral function imaging equipment is island, Tianjin FOIRE-3000, its initial data tested retains the frequency content between 0.02 ~ 0.06HZ by bandpass filtering, its effect is the high-frequency noise and the pulse that filter out test period introducing, the low frequency physiological signal noises such as dermal respiration.
As a further improvement on the present invention, described near infrared light cerebral function imaging equipment has 8 to transmitting and receiving terminal, and the distance between often pair of transmitting and receiving terminal is 3cm; And by 8, transmitting and receiving terminal is tested 24 path information; The concentration information of Oxygenated blood Lactoferrin, deoxyhemoglobin and total hemoglobin in each path record human body motor process.
As a further improvement on the present invention, the method that described near infrared light cerebral function imaging equipment adopts time division emission to receive, the cycle of sampling when it tests 24 path information is 130ms; And its MTD is 2 ~ 3cm under cerebral cortex.
As a further improvement on the present invention, in step (7), the ladder of step is 4 rank, and step is placed on the side of near infrared light cerebral function imaging equipment, returns original position and prepare iterative task next time after experimenter gets out of a predicament or an embarrassing situation.
The invention has the beneficial effects as follows:
(1) the NIRS brain technology for information acquisition applying non-intrusion type solves psychology and the ethical issues of intrusive mood brain-computer interface technology initiation, and can test during carrying out Large Amplitude Motion, does not need environmental stimuli and a large amount of training in early stage;
(2) in motor process, test is carried out, it is an application prerequisite during recognizing model of movement result controls for walk-aid equipment, the Autonomous Control of motion makes to obtain Cerebral cortex bio information under the Nature condition of cognitive activities, adds the practical value of recognizing model of movement;
(3) based on the rate of change identification motor pattern of cortex hemoglobin concentration, improve recognition rate, reduce brain blood oxygen information delay in the negative effect of cognitive activities, be conducive to quick mode identification, for timely to the walk-aid equipment basis in early stage that to provide control information to establish important;
(4) Corpus--based Method analyzes difference identification motor pattern, does not arrange the threshold information of blood oxygen concentration, decreases the erroneous judgement caused by individual variation;
(5) Corpus--based Method analyzes difference identification motor pattern, only apply first three sampled data of initial time, first post analysis biological factors affects statistical discrepancy to blood oxygen albumen rate of change, Corpus--based Method difference value differentiates concrete motor pattern, small data quantity and simple recognition methods greatly reduce the pattern recognition time, are conducive in time for walk-aid equipment provides control instruction.
To sum up, the Cerebral cortex hemoglobin information in application non-intrusion type NIRS technical notes human motion process, Autonomous Control motion, without the need to environmental stimuli and training in early stage, limits few to test environment and experimenter; Under the Nature condition of cognitive activities, support long-time measurement, do not need to train in a large number, there is the advantages such as desirable room and time resolution; Recognizing model of movement and motor control are merged mutually simultaneously, the intelligent of walk-aid equipment can be improved, make it have larger advantage in brain-computer interface application.
Accompanying drawing explanation
Fig. 1 is the motion sequential chart under the present invention plays seat motor pattern;
Fig. 2 is the motion sequential chart under up/down steps motor pattern of the present invention;
Fig. 3 is cortex motion association domain test passage scattergram of the present invention;
Fig. 4 is the statistical discrepancy of the present invention's four kinds of motor patterns different hemoglobin species rate of change in front motor region, right side;
Fig. 5 is the statistical discrepancy of the different hemoglobin species rate of changes of the present invention's four kinds of motor patterns in front motor region, left side;
Fig. 6 is the statistical discrepancy of the deoxyhemoglobin rate of change that under the present invention's four kinds of motor patterns, each motion association is interregional;
Fig. 7 is the present invention's main effect statistical result of ' hemoglobin species ' under various motor pattern;
Wherein: 1a, front motor region, left side, 2a, front motor region, right side, 3a, front motion auxiliary region, 4a, motion auxiliary region, 5a, primary motor area.
Detailed description of the invention
Below in conjunction with accompanying drawing, the present invention will be further elaborated.
First, do some to some labellings in Figure of description respectively to illustrate:
TA: sit down; TB: stand up; Rest: have a rest; Ta: top bar; Tb: get out of a predicament or an embarrassing situation; Tc: retreat; Rest: have a rest; S1, deoxyhemoglobin; S2, Oxygenated blood Lactoferrin; * and * labelling represent there is statistical discrepancy between Oxygenated blood Lactoferrin and the rate of change of deoxyhemoglobin.
As shown in Figures 1 to 7, a kind of implementation method based on cortex hemoglobin information identification motor pattern, comprises the following steps:
(1)) four kinds of motor patterns are set, namely upper and lower step and rise, sit: described upper and lower step movement is also called the non-mirror image periodic movement of both legs; Described, sit motion be also called both legs specular motion; Initial and the termination time of experimenter's Autonomous Control motion under these four kinds of motor patterns;
(2) the cortex motion association region of test is divided into front motor region, left side, front motor region, right side, motion auxiliary region, front motion auxiliary region and primary motor area five associated regions; Front motor region, left side and front motor region, right side mainly participate in the preparation of motor control and stance adjustment; Motion auxiliary region mainly participates in motor behavior plan and two limbs coordination of tasks controls; Front motion auxiliary region mainly participates in motor behavior plan; Primary motor area primary responsibility provides motion control commands;
(3) apply the hemoglobin concentration of near infrared light cerebral function imaging equipment to experimenter each motion association region corticocerebral under four kinds of motor patterns and carry out record; The model of near infrared light cerebral function imaging equipment is island, Tianjin FOIRE-3000;
(4) test subject concentration information of different hemoglobin species in each motion association region of cerebral cortex under four kinds of motor patterns;
(5) experimenter wears test headgear, and cortex five motion association regions of test headgear and head place one to one;
(6) experimenter grasps test speed according to the speed of action in daily life, first does the first group task: rise, sit action, experimenter according to daily, sit and to be accustomed to and speed completes This move; And repeating four times, the beginning of each action and termination are by experimenter's Autonomous Control, and experimental implementation person is responsible for labelling mark;
(7) experimenter grasps test speed according to the speed of action in daily life, then does the second group task: upper and lower step action, experimenter according to daily, sit custom and speed completes This move; And repeating four times, the beginning of each action and termination are by experimenter's Autonomous Control, and experimental implementation person is responsible for labelling mark; The ladder of step is 4 rank, and step is placed on the side of near infrared light cerebral function imaging equipment, due to fiber lengths limited (2 meters), turn round if tested and repeat experiment next time, optical fiber traction headgear can cause headgear overhead to have displacement, introduce test noise, and the zone location of test access can be greatly affected, also tested increase sense of discomfort can be given simultaneously, so in experiment, experimenter returns original position and prepares iterative task next time after getting out of a predicament or an embarrassing situation, but " fall back " mode" puts aside in analytic process;
(8) based on tested hemoglobin data, applied statistics analytic process is analyzed each motion association region of cerebral cortex under different motor patterns and is included the statistical discrepancy of oxygen hemoglobin and deoxyhemoglobin rate of change; Using 0.5 as pvalues, i.e. the threshold value of p value; When p≤0.05, represent statistical discrepancy significance; When p >=0.5, represent statistics difference nonsignificance;
(9) on the basis of step (8), the difference of Oxygenated blood Lactoferrin rate of change and the difference of deoxyhemoglobin rate of change between each cerebral cortex motion association region is analyzed respectively;
(10) difference condition analyzed according to step (8) and (9) identifies the motor pattern of experimenter;
(11) in front motor region, right side: if there is significant statistical discrepancy between Oxygenated blood Lactoferrin rate of change and deoxyhemoglobin rate of change, then the non-mirror image cycle repeating motion of both legs is thought;
If there is no statistical discrepancy between Oxygenated blood Lactoferrin rate of change and deoxyhemoglobin rate of change, and statistical result p >=0.5, then think that both legs specular moves;
(12) for both legs non-mirror image cycle repeating motion trend, in front motor region, left side: if there is significant statistical discrepancy between Oxygenated blood Lactoferrin rate of change and deoxyhemoglobin rate of change, then ' getting out of a predicament or an embarrassing situation ' motor pattern is judged as YES;
If there is no statistical discrepancy between Oxygenated blood Lactoferrin rate of change and deoxyhemoglobin rate of change, and p >=0.5, be then judged as ' topping bar ' motor pattern;
(13) for both legs specular movement tendency, if there is significant difference between the deoxyhemoglobin rate of change of each moving region, then ' sitting down ' motor pattern is judged as;
If there is no notable difference between the deoxyhemoglobin rate of change of each moving region, and p >=0.5, be then judged as ' standing up ' motor pattern.
In each above-mentioned step, described near infrared light cerebral function imaging equipment has 8 to transmitting and receiving terminal, and the distance between often pair of transmitting and receiving terminal is 3cm; And by 8, transmitting and receiving terminal is tested 24 path information; The concentration information of Oxygenated blood Lactoferrin, deoxyhemoglobin and total hemoglobin in each path record human body motor process, due to the method that near infrared light cerebral function imaging equipment adopts time division emission to receive, so the cycle of sampling when it tests 24 path information is 130ms; And its MTD is 2 ~ 3cm under cerebral cortex, its initial data tested retains the frequency content between 0.02 ~ 0.06HZ by bandpass filtering, its effect is the high-frequency noise and the pulse that filter out test period introducing, the low frequency physiological signal noises such as dermal respiration.
The hemoglobin concentration information in 8 pairs of launch and accept terminal test 4 × 4 regions is applied in experiment.
Be further analyzed with regard to statistical analysis technique and mode discrimination method below:
One, apply ternary method of analysis of variance (ANOVA3) analyze ' four kinds of motor patterns ', ' hemoglobin species ' and ' cortex motion association region ' impact on hemoglobin rate of change; As p value (pvalues)≤0.05 that obtain, think that difference has statistical significance:
(1) if ' four kinds of motor patterns ' and the interaction of ' hemoglobin species ' there is statistical significance, analyze further the main effect of under various motor pattern ' hemoglobin species '; Then under various motor pattern, whether there is statistical discrepancy for the rate of change of each cortex motion association regional analysis Oxygenated blood Lactoferrin and the rate of change of deoxyhemoglobin respectively;
On this basis, the main effect under various motor pattern ' cortex motion association region ' is analyzed further; Then analyzing respectively follows the rate of change of Oxygenated blood Lactoferrin in each motion association region or the rate of change of deoxyhemoglobin whether to have statistical discrepancy under various motor pattern; Corresponding statistic analysis result is as follows:
' four kinds of motor patterns ' and the interaction of ' hemoglobin species ' there is obvious statistical discrepancy, i.e. p=0.021, under various motor pattern, the main effect statistical result of ' hemoglobin species ' as shown in Figure 7: wherein front motor region (PMCL) and right side front motor region (PMCR) in left side, and Oxygenated blood Lactoferrin rate of change and deoxyhemoglobin rate of change difference between the two have visibly different sign between various motor pattern;
As shown in Fig. 4, Fig. 5 and Fig. 7: on right side front motor region (PMCR), under motor pattern of topping bar and get out of a predicament or an embarrassing situation, there is very significant statistical discrepancy between the two, p=0.001 when topping bar, p=0.000 when getting out of a predicament or an embarrassing situation; The difference of rise, to sit under motor pattern is between the two remarkable, p=0.836 when standing up, p=0.914 when sitting down; In left side front motor region (PMCL), get out of a predicament or an embarrassing situation under motor pattern and there is very significant statistical discrepancy between the two, p=0.008 when getting out of a predicament or an embarrassing situation, to top bar and to work the difference of to sit under motor pattern between the two not remarkable, p=0.601 when namely topping bar, p=0.293 when standing up, p=0.932 when sitting down; The p value in above-mentioned data with statistical significance embodies to some extent in the analysis chart of Fig. 4 and Fig. 5; Other p value without statistical significance is clearly listed in the figure 7, is not just listing in Fig. 4 and Fig. 5, clear to show.
But under motion auxiliary region (SMA) and front motion auxiliary region (Pre-SMA), under various motor pattern, Oxygenated blood Lactoferrin rate of change and deoxyhemoglobin rate of change generally more statistical discrepancy; At primary motor area (SMC), under various motor pattern, Oxygenated blood Lactoferrin rate of change and deoxyhemoglobin rate of change do not have statistical discrepancy generally;
(2), as shown in Figure 6, under various motor pattern, each interregional Oxygenated blood Lactoferrin rate of change does not all have obvious statistical discrepancy; At motor pattern of sitting down, each interregional deoxyhemoglobin rate of change all has the statistical discrepancy of wire harness, i.e. p=0.024, and in the other mode of movement, each interregional deoxyhemoglobin rate of change does not all have statistical discrepancy.
Two, mode discrimination method:
(1) the front motor region on right side, if having significant statistical discrepancy between Oxygenated blood Lactoferrin rate of change and deoxyhemoglobin rate of change, i.e. p≤0.05, then think the non-mirror image cycle repeating motion of both legs; If there is no statistical discrepancy between Oxygenated blood Lactoferrin rate of change and deoxyhemoglobin rate of change, and statistical result p>=0.5, then think that both legs specular moves; If the test data of some passage is placed doped with noise or headgear there is little deviation, analysis result may be made still to add up without obvious statistical discrepancy
pvalue has relatively little, so select 0.5 as the threshold value of p value to reduce erroneous judgement.
(2) for both legs non-mirror image cycle repeating motion trend, the front motor region in left side, if there is significant statistical discrepancy between Oxygenated blood Lactoferrin rate of change and deoxyhemoglobin rate of change, then be judged as YES ' getting out of a predicament or an embarrassing situation ' motor pattern, p >=0.5 else if, be then judged as ' topping bar ' motor pattern;
(3) for both legs specular movement tendency, if there is significant difference between the deoxyhemoglobin rate of change of each moving region, then be judged as ' sitting down ' motor pattern, if do not have notable difference between the deoxyhemoglobin rate of change of each moving region, and p >=0.5 item is judged as ' standing up ' motor pattern.
Cerebral cortex hemoglobin information in application non-intrusion type NIRS technical notes human motion process, Autonomous Control motion, without the need to environmental stimuli and training in early stage, limits few to test environment and experimenter; Under the Nature condition of cognitive activities, support long-time measurement, do not need to train in a large number, there is the advantages such as desirable room and time resolution; Recognizing model of movement and motor control are merged mutually simultaneously, improve the intelligent of walk-aid equipment, make it have very large advantage in brain-computer interface application.
Claims (6)
1., based on an implementation method for cortex hemoglobin information identification motor pattern, it is characterized in that: comprise the following steps:
(1) four kinds of motor patterns are set, namely upper and lower step and rise, sit: described upper and lower step movement is also called the non-mirror image periodic movement of both legs; Described, sit motion be also called both legs specular motion; Initial and the termination time of experimenter's Autonomous Control motion under these four kinds of motor patterns;
(2) the cortex motion association region of test is divided into front motor region, left side, front motor region, right side, motion auxiliary region, front motion auxiliary region and primary motor area five associated regions;
(3) apply the hemoglobin concentration of near infrared light cerebral function imaging equipment to experimenter each motion association region corticocerebral under four kinds of motor patterns and carry out record;
(4) test subject concentration information of different hemoglobin species in each motion association region of cerebral cortex under four kinds of motor patterns;
(5) experimenter wears test headgear, and cortex five motion association regions of test headgear and head place one to one;
(6) experimenter grasps test speed according to the speed of action in daily life, first does the first group task: rise, sit action, experimenter according to daily, sit and to be accustomed to and speed completes This move; And repeating four times, the beginning of each action and termination are by experimenter's Autonomous Control, and experimental implementation person is responsible for labelling mark;
(7) experimenter grasps test speed according to the speed of action in daily life, then does the second group task: upper and lower step action, experimenter according to daily, sit custom and speed completes This move; And repeating four times, beginning and the termination of each action control by experimenter oneself, and experimental implementation person is responsible for labelling mark;
(8) based on tested hemoglobin data, applied statistics analytic process is analyzed each motion association region of cerebral cortex under different motor patterns and is included the rate of change statistical discrepancy of oxygen hemoglobin and deoxyhemoglobin; Using 0.5 as pvalues, i.e. the threshold value of p value; When p≤0.05, represent statistical discrepancy significance; When p >=0.5, represent statistics difference nonsignificance;
(9) on the basis of step (8), the difference of Oxygenated blood Lactoferrin rate of change and the difference of deoxyhemoglobin rate of change between each cerebral cortex motion association region is analyzed respectively;
(10) motor pattern of difference condition to experimenter analyzed according to step (8) and (9) identifies;
(11) in front motor region, right side: if there is significant statistical discrepancy between Oxygenated blood Lactoferrin rate of change and deoxyhemoglobin rate of change, then the non-mirror image cycle repeating motion of both legs is thought;
If there is no statistical discrepancy between Oxygenated blood Lactoferrin rate of change and deoxyhemoglobin rate of change, and statistical result p >=0.5, then think that both legs specular moves;
(12) for both legs non-mirror image cycle repeating motion trend, in front motor region, left side: if there is significant statistical discrepancy between Oxygenated blood Lactoferrin rate of change and deoxyhemoglobin rate of change, then ' getting out of a predicament or an embarrassing situation ' motor pattern is judged as YES;
If there is no statistical discrepancy between Oxygenated blood Lactoferrin rate of change and deoxyhemoglobin rate of change, and p >=0.5, be then judged as ' topping bar ' motor pattern;
(13) for both legs specular movement tendency, if there is significant difference between the deoxyhemoglobin rate of change of each moving region, then ' sitting down ' motor pattern is judged as;
If there is no notable difference between the deoxyhemoglobin rate of change of each moving region, and p >=0.5, be then judged as ' standing up ' motor pattern.
2. the implementation method based on cortex hemoglobin information identification motor pattern according to claim 1, is characterized in that: in step (2): the front motor region in front motor region, left side and right side mainly participates in the preparation of motor control and stance adjustment; Motion auxiliary region mainly participates in motor behavior plan and two limbs coordination of tasks controls; Front motion auxiliary region mainly participates in motor behavior plan; Primary motor area primary responsibility provides motion control commands.
3. the implementation method based on cortex hemoglobin information identification motor pattern according to claim 1 and 2, it is characterized in that: the model of described near infrared light cerebral function imaging equipment is FOIRE-3000, its initial data tested retains the frequency content between 0.02 ~ 0.06HZ by bandpass filtering.
4. the implementation method based on cortex hemoglobin information identification motor pattern according to claim 3, is characterized in that: described near infrared light cerebral function imaging equipment has 8 to transmitting and receiving terminal, and the distance between often pair of transmitting and receiving terminal is 3cm; And by 8, transmitting and receiving terminal is tested 24 path information; The concentration information of Oxygenated blood Lactoferrin, deoxyhemoglobin and total hemoglobin in each path record human body motor process.
5. the implementation method based on cortex hemoglobin information identification motor pattern according to claim 4, it is characterized in that: the method that described near infrared light cerebral function imaging equipment adopts time division emission to receive, the cycle of sampling when it tests 24 path information is 130ms; And its MTD is 2 ~ 3cm under cerebral cortex.
6. the implementation method based on cortex hemoglobin information identification motor pattern according to claim 1, it is characterized in that: in step (7), the ladder of step is 4 rank, and step is placed on the side of near infrared light cerebral function imaging equipment, returns original position after experimenter gets out of a predicament or an embarrassing situation and prepare iterative task next time.
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| CN108056777A (en) * | 2017-10-31 | 2018-05-22 | 北京心灵方舟科技发展有限公司 | Measure the device of oxygen-containing hemoglobin and deoxyhemoglobin and Brian Imaging equipment |
| CN108932403A (en) * | 2018-07-02 | 2018-12-04 | 苏州大学 | Leave and the dynamic recognition methods of fortune based on brain hemoglobin information |
| CN109710065A (en) * | 2018-12-18 | 2019-05-03 | 苏州大学 | Walking based on brain hemoglobin information adjusts the recognition methods being intended to |
| CN117679025A (en) * | 2024-01-31 | 2024-03-12 | 北京航空航天大学 | Detection method, system and medium for detecting blood oxygen information of neuromuscular |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2002017778A1 (en) * | 2000-08-31 | 2002-03-07 | Nellcor Puritan Bennett Inc. | Oximeter sensor with digital memory encoding patient data |
| US20080081973A1 (en) * | 2006-09-28 | 2008-04-03 | Nellcor Puritan Bennett Incorporated | System and method for mitigating interference in pulse oximetry |
| US20120283578A1 (en) * | 2007-10-25 | 2012-11-08 | Leboeuf Steven Francis | Noninvasive physiological analysis using excitation-sensor modules and related devices and methods |
| CN103327894A (en) * | 2011-01-19 | 2013-09-25 | 加利福尼亚大学董事会 | Apparatus, systems, and methods for tissue oximetry and perfusion imaging |
| CN104224466A (en) * | 2014-09-25 | 2014-12-24 | 桂林电子科技大学 | Wheelchair control system based on detection of brain near-infrared function information |
-
2015
- 2015-01-06 CN CN201510010037.7A patent/CN104771255B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2002017778A1 (en) * | 2000-08-31 | 2002-03-07 | Nellcor Puritan Bennett Inc. | Oximeter sensor with digital memory encoding patient data |
| US20080081973A1 (en) * | 2006-09-28 | 2008-04-03 | Nellcor Puritan Bennett Incorporated | System and method for mitigating interference in pulse oximetry |
| US20120283578A1 (en) * | 2007-10-25 | 2012-11-08 | Leboeuf Steven Francis | Noninvasive physiological analysis using excitation-sensor modules and related devices and methods |
| CN103327894A (en) * | 2011-01-19 | 2013-09-25 | 加利福尼亚大学董事会 | Apparatus, systems, and methods for tissue oximetry and perfusion imaging |
| CN104224466A (en) * | 2014-09-25 | 2014-12-24 | 桂林电子科技大学 | Wheelchair control system based on detection of brain near-infrared function information |
Cited By (14)
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|---|---|---|---|---|
| CN107019516A (en) * | 2017-03-31 | 2017-08-08 | 北京心灵方舟科技发展有限公司 | Suppressing method, device and the detection device of near-infrared noise |
| CN107019516B (en) * | 2017-03-31 | 2020-11-10 | 北京心灵方舟科技发展有限公司 | Method and device for suppressing near-infrared noise and detection equipment |
| CN107595295A (en) * | 2017-06-09 | 2018-01-19 | 苏州大学 | A kind of recognition methods of the lower extremity movement resistive state based on brain hemoglobin information |
| CN107478637B (en) * | 2017-07-07 | 2021-04-30 | 复旦大学 | Rapid label-free imaging method for distinguishing normal hemoglobin from ferrihemoglobin |
| CN107478637A (en) * | 2017-07-07 | 2017-12-15 | 复旦大学 | The quick unmarked imaging method for distinguishing Hb A hemoglobin adult and hemosiderin |
| CN107563298A (en) * | 2017-08-08 | 2018-01-09 | 苏州大学 | The recognition methods for squatting up away state of imagination motion stage based on brain hemoglobin information |
| CN107563298B (en) * | 2017-08-08 | 2022-02-22 | 苏州大学 | Method for identifying squatting and walking state of imagination movement stage based on brain hemoglobin information |
| CN108056777A (en) * | 2017-10-31 | 2018-05-22 | 北京心灵方舟科技发展有限公司 | Measure the device of oxygen-containing hemoglobin and deoxyhemoglobin and Brian Imaging equipment |
| CN108932403B (en) * | 2018-07-02 | 2021-09-14 | 苏州大学 | Brain hemoglobin information-based resting state and movement state identification method |
| CN108932403A (en) * | 2018-07-02 | 2018-12-04 | 苏州大学 | Leave and the dynamic recognition methods of fortune based on brain hemoglobin information |
| CN109710065A (en) * | 2018-12-18 | 2019-05-03 | 苏州大学 | Walking based on brain hemoglobin information adjusts the recognition methods being intended to |
| CN109710065B (en) * | 2018-12-18 | 2021-12-28 | 苏州大学 | Method for recognizing walking regulation intention based on brain hemoglobin information |
| CN117679025A (en) * | 2024-01-31 | 2024-03-12 | 北京航空航天大学 | Detection method, system and medium for detecting blood oxygen information of neuromuscular |
| CN117679025B (en) * | 2024-01-31 | 2024-05-03 | 北京航空航天大学 | Detection method, system and medium for detecting blood oxygen information of neuromuscular |
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