CN100571622C - Be used to detect the device and the using method thereof of hands movement function - Google Patents
Be used to detect the device and the using method thereof of hands movement function Download PDFInfo
- Publication number
- CN100571622C CN100571622C CNB2005100987705A CN200510098770A CN100571622C CN 100571622 C CN100571622 C CN 100571622C CN B2005100987705 A CNB2005100987705 A CN B2005100987705A CN 200510098770 A CN200510098770 A CN 200510098770A CN 100571622 C CN100571622 C CN 100571622C
- Authority
- CN
- China
- Prior art keywords
- button
- group
- time
- main frame
- keyboard
- 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
Images
Landscapes
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The present invention relates to a kind of device that is used to detect the hands movement function, described device comprises: main frame, and described main frame comprises frequency generator, timer, memorizer and controller; The output device that is connected with described main frame; It is characterized in that, described device also comprises a keyboard that links to each other with described main frame, described keyboard comprises first group of button and second group of button, and described first group of button comprises that two spacings are 4-20 centimetre button, and described second group of button comprises two adjacent buttons.According to device of the present invention, low cost of manufacture, easy to use.
Description
Technical field
The present invention relates to armarium, relate in particular to the using method of the device and this device that are used to detect the hands movement ability.
Background technology
Parkinson disease (Parkinson ' s disease PD) be a kind of more common nervous system degeneration disease, be one of middle-aged and elderly people major cause of morbidity.Increasing gradually with its prevalence of age growth, is to be 2% more than 1%, 60 years old among the old man more than 50 years old.Parkinsonian cause and onset of disease mechanism is unclear fully as yet so far, think at present wear out with heredity, environmental toxin, oxidative stress, excitotoxin, nervous system, factors such as autoimmune, natural death of cerebral cells are closely related.Therefore the main pathological change of parkinson disease is black substance-striatum dopaminergic neuronal degeneration, and the voluntomotory effect of its balance facilitation produces typical clinical motor symptomses such as stiff, static tremor and hypokinesia.For the diagnosis of this disease at present mainly according to medical history, clinical symptoms and sign, and the therapeutic response of anti-PD medicine.Parkinson disease clinical diagnosis standard sensitivity height, but specificity is no more than 75%.Other Parkinsonian diagnostic methods have gene studies (parkin, α-synuclein gene etc.), neural imageology (PET, SPECT, fMRI, MRS etc.), electrophysiology (visual evoked potential, electroretinogram, auditory evoked potential, event related potential etc.) and exercise test, measurement of olfaction, cognitive function inspection and some biochemical indicators such as platelet mitochondrion complex O and P MAO-B B depressant (FG7JP) activity etc.Genetic marker is applied to clinical still immature.Employing is present parkinson disease auxiliary diagnosis sensitive indicators to the detection of dopamine neuron tip function, has been used to detect those excessive risk individualities that family history is arranged abroad and whether has had preclinical dopamine dysfunction.This method specificity is higher, but the expense height has significant limitation in clinical practice.Therefore if can look for a kind of easy, easy row, objective, cheap methods for clinical diagnosis differentiates then the early stage neuroprotective treatment of disturbances in patients with Parkinson disease subclinical phase or clinical early stage parkinson disease, delaying that disease progression provides may.Parkinsonian main clinical manifestation is mainly the variation of motor function, and therefore the further investigation to the parkinson disease motor function has important effect to Parkinsonian early diagnosis.
It is not going down of muscular strength that the main motor function of parkinson disease changes, mainly be that sports coordination ability descends, main performance bradykinesia or motion can not, mainly comprise the startup difficulty of motion and slowing down of movement velocity, the multiformity movement defect, as the minimizing, poker-faced of twinkling, motion converter difficulty, the discontinuous or unexpected termination of moving.Think that in the past Parkinsonian bradykinesia mainly is because due to the myotonia, reality is noncausal relationship also.Prove tentatively that now Parkinsonian bradykinesia or motion can not be very complicated symptoms, mainly relevant with the driving device function or the extrapyramidal system downward movement active device obstacle of the outer system of cortex lower cone.Because the patient of bradykinesia is undergone surgery after the treatment, the myotonia symptom is obviously improved, but its movement velocity is not to resemble to become concordance to improve after taking the DOPA medicine.
There is the people that the detection method of parkinson patient motor function is explored and studied since the seventies in last century, begun to take shape the method that a series of motor functions detect, comprising foundation, the mensuration of movement velocity and the mensuration of muscular tension etc. at parkinson patient motor function different aspect motion scale.Reliabilities more commonly used clinically at present and validity are definite scale comes the parkinson disease motor function is detected, and it is comparatively comprehensively assessed the parkinson disease dyskinesia.Have characteristics separately again.Appraisal procedure has qualitative and quantitative.Qualitative is comparatively subjective assessment, quantitatively is objective assessment.It is comparatively accurate that two kinds of methods combine.At present generally adopt UPDRS to mark the detection of the parkinson patient being carried out motor function in the world, mainly comprise language performance, facial expression, static tremor, hand exercise or postural tremor, tetanic, finger is patted experiment, hands movement, diadochokinesia, shank motility, stand up, the stability of posture, gait, posture and body are moving less etc. from 0,1,2,3,4 five grade of score value motor function is detected from many aspects, it has reflected the situation of motor function comparatively all sidedly.Influence is bigger but its examined person is subjective, so score value can be offset to some extent, thereby influences accuracy.Referring to Lang AE, Fahn S.Assessment of Parkinson ' s disease.In:Munsat TL, ed.Quantification ofNeurological Deficit.Boston:Butterworth-Heinemann; 1989:285-309.
There is the people the detection by quantitative of motor function to be built up an experiment sequence set in conjunction with olfactory sensation and cognitive function detection at present.Its early diagnosis and discriminating to parkinson has very high sensitivity and specificity.Exercise testing comprises quick carpal joint flexion and extension assaying reaction time and movement velocity.Olfactory sensation detects by UPSIT (University of Pennsylvania SmellIdentification Test). and it comprises 40 standardization abnormal smells from the patients.Can give scoring to the selection situation of the abnormal smells from the patient that smelt according to the experimenter.Mental status is measured by the scoring of BDI (BeckDepression Inventory) scale.Confirmed its meaning by regression analysis to parkinson disease early diagnosis and Differential Diagnosis.Commute is suffered from Parkinsonian high-risk group also certain break-up value.But because its detection method is comparatively numerous and diverse, and adaptability still has certain limitation, therefore up to the present still do not obtain general application aspect clinical diagnosis.Referring to Montgomery EB Jr, Koller WC, et al.Early detection of probableidiopathic Parkinson ' s disease:I.Development of a diagnostic testbattery.Mov Disord.2000May; 15 (3): 467-73; With Montgomery EB Jr, Lyons K, Koller WC.Early detection of probable idiopathic Parkinson ' sdisease:II.A prospective application of a diagnostic test battery.MovDisord.2000May; 15 (3): 474-8.
Therefore, the someone utilizes keyboard to carry out the detection of hands movement function, but there are some defectives in traditional computer keyboard or typewriter keyboard.Owing to have a plurality of buttons on traditional keyboard, usually do not need too complicated operations when carrying out the detection of motor function, and for the poor slightly people of vision, need spend the regular hour owing in numerous buttons, seek the button that to push, cause test result can't reflect the problem of motor function aspect.And traditional keyboard is bigger, carries inconvenience and need be placed on the bigger plane.During test, tested person person will take seat, and upper body loosens straight and upright, knocks keyboard then, and this exists dyskinetic patient to have certain degree of difficulty to part.
Therefore, need a kind of simple keyboard or device to be used to carry out the detection of motor function.
Summary of the invention
The object of the present invention is to provide a kind of device that is used for the detection of motor function, this device comprises the keyboard of simplification, and the button on the keyboard reduces as much as possible, so that tested person person does not need spended time to seek the button that will push.Reduced like this because of seeking the influence that test result is caused of button.Keyboard according to device of the present invention is less, also corresponding the reducing of planar area that is easy to carry and places this keyboard.
According to a kind of device that is used to detect the hands movement function of the present invention, described device comprises: main frame, and described main frame comprises frequency generator, timer, memorizer, controller; The output device that is connected with described main frame; It is characterized in that described device also comprises a keyboard that links to each other with described main frame, described keyboard comprises first group of button and second group of button, and described first group of button and second group of button comprise two buttons respectively.
According to a kind of using method that is used to detect the device of hands movement function of the present invention, it is characterized in that, may further comprise the steps: mode key is arranged on first pattern or second pattern, first group of button or second group of button are connected with main frame; Push first button in first group of button or the second group of button, the time that described first button is depressed was stored in the storage device as the motion time started, push second button in first group of button or the second group of button, the time that described second button is depressed was stored in the storage device as the motion concluding time; Deduct the motion time started concluding time with motion and obtain movement time, store described movement time, and export described movement time by output device.
Description of drawings
Fig. 1 shows the structural representation according to device of the present invention.
An embodiment of the keyboard in Fig. 2 displayed map 1 shown device.
Another embodiment of keyboard in Fig. 3 displayed map 1 shown device.
Another embodiment of keyboard in Fig. 4 displayed map 1 shown device.
Another embodiment of keyboard in Fig. 5 displayed map 1 shown device.
The specific embodiment
Now in conjunction with the accompanying drawings detailed content of the present invention is described as follows:
Fig. 1 shows the structural representation according to device of the present invention.The device 1 that is used to detect the hands movement function according to the present invention comprises main frame 3, keyboard 2 and output device 4.In one embodiment of the invention, this main frame 3 comprises frequency generator 31, timer 32, memorizer 33, controller 34.When work, frequency generator 31 produces a frequency, and timer is based on this frequency signal timing.Knock keyboard 2 and produce an input signal, timer 32 picks up counting, and with corresponding data storage in memorizer 33, when when this knocks keyboard 2, produce second input signal, timer 33 stops timing, and controller 34 is according to the time between two input signals of the data computation in the memorizer, and the time between two input signals is exported by output device.When tested person person's motor function was tested, the time between two input signals was twice time of knocking between the keyboard, i.e. tested person person's arm or finger motion institute's elapsed time once.Need to prove, can use existing computer as the main frame that is used to detect the device of hands movement function of the present invention, but there is the problem of aspects such as costing an arm and a leg, volume is big in existing comparatively speaking computer.Main frame 3 in the foregoing description has advantage simple in structure, that volume is little, cost is low.
This output device is existing output device.In one embodiment, this output device is a display.This display can various existing display, owing to need the data owner of output to want the time, this display can be a simple LED or small-sized liquid crystal display.Certainly, this display can adopt computer monitor, and as cathode ray tube, liquid crystal display, plasma display etc., but these computer monitors are too expensive.For the consideration of cost, display of the present invention only need have simple numerical and the literal Presentation Function gets final product.And small-sized display is light small and exquisite, easy to carry, and relative computer monitor has advantage aspect volume and weight.In another embodiment, this output device is a printer, and perhaps display and printer are provided with simultaneously.
Fig. 2,3, the 4 multi-form keyboards that show according to device of the present invention.In keyboard shown in Figure 2, button 21,22 and button 23,24 are separately positioned on the two parallel line.Button 21 and button 22 be certain distance (from the button center position measurement) apart, preferred 4-20 centimetre of this distance.Spacing between the two is 9.5 centimetres in this embodiment.This distance is in order to measure the testee moves horizontally forearm under the motionless situation of ancon distance.If distance is too small, the testee only needs mobile wrist or finger can knock two buttons, so just can't measure the motor function of testee's forearm exactly.If distance is excessive, can cause the oversize of keyboard.Button 23 and button 24 adjacent settings are so that measure the motor function of adjacent two fingers (as forefinger and middle finger).In this embodiment, button 21,22 and button 23,24 are separated by far away, in order to avoid push the wrong button.
In keyboard shown in Figure 3, button 21 ' is similar to Fig. 2 with 22 ' set-up mode.Button 23 ' and button 21 ' adjacent setting.
Under the situation of keyboard shown in Figure 3, there is the possibility that pushes the wrong button.For fear of producing rub-out signal, can a switch key (mode key) 26 be set at this keyboard one jiao, as shown in Figure 4.This mode key can be made of touch-tone permutator.Under first pattern (M1), button 21 ' and 22 ' circuit are connected, and the signal that produces when pushing them can be transferred to the timer of main frame, timing is begun or finish.Under this first pattern, the circuit of button 23 ' is cut off, even therefore having pushed button 23 ' can not produce signal yet.Under second pattern (M2), button 21 ' and 23 ' circuit are connected, and the circuit of button 22 ' is cut off, and in the case, has only pressing keys 21 ' and 23 ' just can produce signal.
Referring to Fig. 5, in the figure, keyboard 2 is divided into two keypads that separate, and two adjacent buttons is set on the keyboard 2A, and a button is set on the keyboard 2B.Like this, when measuring the motor function of forearm, the distance that forearm moves can not be subjected to the restriction of keyboard size, and can be according to the length corresponding adjustment keyboard 2A of tested person person's forearm and the distance between the keyboard 2B.
, then each several part is fitted together for making each ingredient respectively according to the manufacture method of device of the present invention, constitute device of the present invention.
Be divided into the experiment of rotating of upper limb horizontal movement experiment and finger according to the test of device of the present invention.Upper limb horizontal movement experiment is meant that specifically the forefinger continuous several times beats two buttons of the apart from each other of keyboard 2, button 21,22 for example shown in Figure 2, button 21 ', 22 ' shown in Fig. 3,4, shown in Figure 5 21 ", 22 ", show its mean motion time, this time is mainly represented the speed and the sensitivity of tested person person's upper limb forearm motion; The finger experiment of rotating is meant that forefinger and middle finger alternately repeatedly push two adjacent in the keyboard 2 buttons, button 21 ', 23 ' shown in button 23,24 for example shown in Figure 2 or Fig. 3,4, button 21 perhaps shown in Figure 5 ", 23 ", show its mean motion time, this time is mainly represented the speed and the sensitivity of tested person person's finger motion.
For keyboard shown in Figure 4, the using method that this is used to detect the device of hands movement function may further comprise the steps: mode key 26 is arranged on first pattern, first group of button 21 ', 22 ' is connected with main frame; Push first button 21 ' in first group of button, the time that described first button is depressed was stored in the storage device as the motion time started, push second button 22 ' in first group of button, the time that described second button is depressed was stored in the storage device as the motion concluding time; Deduct the motion time started concluding time with motion and obtain movement time, store described movement time, and export described movement time by output device.This time is tested person person's upper limb antetheca motion time once.Repeat repeatedly calculating mean value.Then, mode key 26 is arranged on second pattern, second group of button 21 ', 23 ' is connected with main frame; Push first button 21 ' in second group of button, the time that described first button is depressed was stored in the storage device as the motion time started, push second button 23 ' in second group of button, the time that described second button is depressed was stored in the storage device as the motion concluding time; Deduct the motion time started concluding time with motion and obtain movement time, store described movement time, and export described movement time by output device.This time is tested person person's forefinger and middle finger alternating movement time once.Repeat repeatedly calculating mean value.The occupation mode of other keyboard is identical therewith, does not just have the process of switch mode button.
Utilization is tested tested person person's grouping according to device of the present invention.
1. the evaluation of determinator reliability
At first this experimental provision is carried out the test and appraisal of reliability.60 normal health persons (wherein the male is 32,28 of women, age 26-76 year) are carried out the mobile experiment of non-dominant hand and dominant hand and the experiment of rotating respectively, detected movement time.Dominant hand is meant dextromanuality experimenter's the right hand, and the experimenter is meant left hand for left handedness.Non-dominant hand is the hands of the former opposite side just.Repeat above-mentioned experiment after 24 hours again, come twice experiment of comparison to evaluate and test the degree that motor function repeats reliability.Use existing statistical package SPSS11.0 and carry out statistical analysis, with 95% as the confidence interval, when the P value is thought the difference significance less than 0.05 the time.Test that non-dominant hand between twice and dominant hand move experiment and the experiment concrete condition comparable situation of rotating sees Table 1:
Table 1 mean, standard deviation, the comparison of testing reliability again
Annotate: the equal value difference of twice experiment of aberration rate %=| |/twice experiment grand mean * 100%
Twice experiment grand mean=twice experiment average and/2
R
2The percentage ratio that can explain by the variation of independent variable in the variation of expression dependent variable, in general, R
2Big more, regression equation is meaningful more.
As seen from the above table, there is not significant difference between twice experiment; It is very little that dominant hand and non-dominant hand repeat the aberration rate that moves the experiment and rotate the experiment, can show that therefore non-dominant hand still is that dominant hand moves experiment and the experiment of rotating all has the very high stability of repeated experiments, just has good validity.
2. the evaluation of determinator validity
The evaluation of determinator validity is a reliability of utilizing the result that this device detects in order to illustrate.Generally speaking, the movement time of dominant hand and non-dominant hand is different.Specific to this experiment be exactly the experimenter must clear and definite dominant hand and non-dominant hand use respectively and move experiment and the experiment of rotating is carried out motor function and detected.Owing to exist dominant hemisphere so dominant hand and non-dominant hand motor function to certainly exist difference, the experimenter has only the mobile experiment of carrying out dominant hand and non-dominant hand respectively and the experiment of rotating, and movement time detects just has comparability, and experimental result just has credibility.Use correlation analysis, the correlation analysis that utilization dominant hand and non-dominant hand move experiment and the experiment of rotating is carried out between the motor function detection sees Table 2:
Table 2 is tried factorial analysis
As seen from the above table, utilization dominant hand and non-dominant hand move experiment and rotate has significant difference between the detection of experiment motor function, still has certain dependency.
Move experiment and rotate experiment movement time and the relation between the age
Normal control group 60 examples, age 26-76 year, 54.97 ± 14.85 years old mean age.We the age according to being divided into 5 groups from small to large, be 26-40 year 14 examples, 41-50 year 4 examples, 51-60 year 16 examples, 61-70 year 15 examples, 71-80 year 11 examples.Use one factor analysis of variance, relatively whether the nigration and the trial movement time of rotating of normal control group age groups is variant.Concrete experimental result sees Table 4.
By between table 4 explanation normal control each age group moving movement time of group and diadochokinesia time significant difference being arranged.Just the motor function of normal control group changes relevant with the age.
Table 4 normal control group all ages and classes section motor function relatively
In the normal health matched group, whether there is significance to change for the mobile experiment and the experiment movement time of rotating of further clear and definite age in 40 years old later crowd, therefore, use one factor analysis of variance, relatively whether the nigration and the trial movement time of rotating of normal control group age groups after 40 years old is variant.Concrete experimental result sees Table 5.
The table 5 explanation normal control group age is there was no significant difference between 40 years old later each age group moving movement time and diadochokinesia time.Just the motor function of age normal control group after 40 years old changes with the age irrelevant.
Table 5 normal control group all ages and classes section motor function relatively
Foregoing proves that determinator according to the present invention has fine validity.Utilization determinator according to the present invention moves experiment and the result of experiment of rotating is reliable.This device can be used to detect experimenter's motor function.
3. the comparison of motor function between sporadic parkinson disease group, normal control group, the essential tremor group
For the value of further clear and definite motor function detection by quantitative experiment in sporadic parkinson disease diagnosis and differential diagnosis, we also utilize computer apparatus to compare the motor function of sporadic parkinson disease group, normal control group, essential tremor group in twos simultaneously.At first, must carry out the comparison of three groups of subject age, between clear and definite three groups of subject age whether significant difference being arranged, thereby whether clear and definite three groups of experimenters have comparability.Use one factor analysis of variance, concrete experimental result is as follows:
Table 19 is respectively organized subject age relatively
The age does not have significant difference between three groups of experimenters.Has comparability between three groups of experimenters.
Aforementioned result explanation utilizes apparatus and method provided by the invention, can detect the difference of motor function aspect between normal, parkinson, the essential tremor experimenter significantly, and apparatus and method of the present invention can be used for Parkinsonian early diagnosis.And these apparatus and method can also be used for the judgement of curative effect and disease process.
The above is the preferred embodiments of the present invention only, is not limited to the present invention, and for a person skilled in the art, the present invention can have various changes and variation.Within the spirit and principles in the present invention all, any modification of being done, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (8)
1. device that is used to detect the hands movement function, described device comprises:
Main frame, described main frame comprise frequency generator, timer, memorizer and the controller that connects successively; And
Output device is connected with described main frame;
The described device that is used to detect the hands movement function also comprises the keyboard that is connected with described main frame, and described keyboard comprises first group of button and second group of button, and described first group of button and second group of button comprise two buttons respectively,
It is characterized in that also comprising a mode key, described mode key is used to switch being connected of described first group of button and second group of button and main frame.
2. device according to claim 1 is characterized in that described first group of button and second group of button be arranged in parallel.
3. device according to claim 1 is characterized in that described first group of button and second group of vertical setting of button.
4. device according to claim 3 is characterized in that described first group of button and second group of button be made up of three buttons, and a button and second group of button in described first group of button have.
5. device according to claim 1 is characterized in that the spacing between two buttons of described first group of button is 4-20 centimetre.
6. device according to claim 1 is characterized in that:
Described frequency generator is used to produce frequency signal, so that make described timer based on described frequency signal timing;
Described memorizer is used to store data;
Described controller was used for according to the time between two input signals of data computation of memorizer, and the time between two input signals is exported by output device.
7. a method that is used to detect the hands movement function is characterized in that, may further comprise the steps:
Mode key is arranged on first pattern or second pattern, first group of button or second group of button are connected with main frame;
Push first button in first group of button or the second group of button, the time that described first button is depressed was stored in the storage device as the motion time started, push second button in first group of button or the second group of button, the time that described second button is depressed was stored in the storage device as the motion concluding time;
Deduct the motion time started concluding time with motion and obtain movement time, store described movement time, and export described movement time by output device.
8. method according to claim 7 is characterized in that, described output device is a display or printer.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB2005100987705A CN100571622C (en) | 2005-09-07 | 2005-09-07 | Be used to detect the device and the using method thereof of hands movement function |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNB2005100987705A CN100571622C (en) | 2005-09-07 | 2005-09-07 | Be used to detect the device and the using method thereof of hands movement function |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN1927117A CN1927117A (en) | 2007-03-14 |
| CN100571622C true CN100571622C (en) | 2009-12-23 |
Family
ID=37857367
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CNB2005100987705A Expired - Fee Related CN100571622C (en) | 2005-09-07 | 2005-09-07 | Be used to detect the device and the using method thereof of hands movement function |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN100571622C (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015037089A1 (en) * | 2013-09-11 | 2015-03-19 | 日立コンシューマエレクトロニクス株式会社 | Brain dysfunction assessment method, brain dysfunction assessment device, and program thereof |
| CN111387990B (en) * | 2020-03-24 | 2022-11-04 | 首都医科大学宣武医院 | Cerebral apoplexy hemiplegia patient is with early warning system that leaves bed |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6416485B1 (en) * | 1999-10-28 | 2002-07-09 | Stmicroelectronics S.R.L. | Instrumental measurement of the neuro-psycho-physical state of a person |
| AT411011B (en) * | 2001-08-02 | 2003-09-25 | Stefan Sauermann | Device for quantifying motion malfunctions in Parkinson's disease |
-
2005
- 2005-09-07 CN CNB2005100987705A patent/CN100571622C/en not_active Expired - Fee Related
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6416485B1 (en) * | 1999-10-28 | 2002-07-09 | Stmicroelectronics S.R.L. | Instrumental measurement of the neuro-psycho-physical state of a person |
| AT411011B (en) * | 2001-08-02 | 2003-09-25 | Stefan Sauermann | Device for quantifying motion malfunctions in Parkinson's disease |
Non-Patent Citations (1)
| Title |
|---|
| CHAOTIC APPROACH TO THE QUANTITATIVE ANALYSISOF PARKINSON'S DISEASE. Toshifumi Sugiura,etc.Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society,Vol.20 No.3. 1998 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN1927117A (en) | 2007-03-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Montesinos et al. | Wearable inertial sensors for fall risk assessment and prediction in older adults: A systematic review and meta-analysis | |
| Celik et al. | Gait analysis in neurological populations: Progression in the use of wearables | |
| Meyer et al. | Wearables and deep learning classify fall risk from gait in multiple sclerosis | |
| Chen et al. | Toward pervasive gait analysis with wearable sensors: A systematic review | |
| Doheny et al. | Falls classification using tri-axial accelerometers during the five-times-sit-to-stand test | |
| Pitta et al. | Activity monitoring for assessment of physical activities in daily life in patients with chronic obstructive pulmonary disease | |
| US7127376B2 (en) | Method and apparatus for reducing errors in screening-test administration | |
| JP5776120B2 (en) | Detection of hypoactivity and / or hyperactivity | |
| WO2015037089A1 (en) | Brain dysfunction assessment method, brain dysfunction assessment device, and program thereof | |
| JP4292247B2 (en) | Motion analysis device and use thereof | |
| Jiang et al. | The elderly fall risk assessment and prediction based on gait analysis | |
| Pardamean et al. | Quantified self-using consumer wearable device: Predicting physical and mental health | |
| Sample et al. | Identification of key outcome measures when using the instrumented timed up and go and/or posturography for fall screening | |
| Mason et al. | Measurement of activity | |
| Rowe et al. | Measuring reliability of movement with accelerometry: Fitbit® versus ActIGraph® | |
| CN100571622C (en) | Be used to detect the device and the using method thereof of hands movement function | |
| Ceaser | The estimation of caloric expenditure using three triaxial accelerometers | |
| JP2023524526A (en) | Systems, devices, and methods for determining exercise variability, disease and injury prediction, and recovery readiness | |
| Jabri et al. | Automatic ML-based vestibular gait classification: examining the effects of IMU placement and gait task selection | |
| DelMastro et al. | Quantification characteristics of digital spiral analysis for understanding the relationship among tremor and clinical measures in persons with multiple sclerosis | |
| Schwesig et al. | Comparison of intraobserver single-task reliabilities of the Interactive Balance System (IBS) and Vertiguard in asymptomatic subjects | |
| AU769892B2 (en) | Neurological conflict diagnostic method and apparatus | |
| Smith et al. | Computerized system for quantitative measurement of sensorimotor aspects of human performance | |
| Seo et al. | The reliability test of a smart insole for gait analysis in stroke patients | |
| Rahman et al. | Remote ECG Monitoring and Syncope Detection System Using Deep Learning |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20070314 Assignee: Guangxi Nanning Ling's biological Kangsai Co. Ltd. Assignor: Xuanwu Hospital, Shoudu Medical Univ. Contract record no.: 2010450000002 Denomination of invention: Device for detecting hand motion function and method of use thereof Granted publication date: 20091223 License type: Exclusive License Record date: 20100310 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20091223 Termination date: 20150907 |
|
| EXPY | Termination of patent right or utility model |