CN104545908A - Hand function rehabilitation evaluation and training system - Google Patents
Hand function rehabilitation evaluation and training system Download PDFInfo
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- CN104545908A CN104545908A CN201510024778.0A CN201510024778A CN104545908A CN 104545908 A CN104545908 A CN 104545908A CN 201510024778 A CN201510024778 A CN 201510024778A CN 104545908 A CN104545908 A CN 104545908A
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- 238000012549 training Methods 0.000 title claims abstract description 41
- 238000011156 evaluation Methods 0.000 title abstract 5
- 210000003813 thumb Anatomy 0.000 claims abstract description 20
- 210000003205 muscle Anatomy 0.000 claims abstract description 14
- 210000003811 finger Anatomy 0.000 claims abstract description 12
- 230000035876 healing Effects 0.000 claims description 24
- 238000001914 filtration Methods 0.000 claims description 19
- 230000007246 mechanism Effects 0.000 claims description 19
- 230000003321 amplification Effects 0.000 claims description 8
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 8
- 238000004458 analytical method Methods 0.000 claims description 7
- 238000005070 sampling Methods 0.000 claims description 7
- 210000000707 wrist Anatomy 0.000 claims description 7
- 230000008602 contraction Effects 0.000 claims description 3
- 230000002269 spontaneous effect Effects 0.000 claims description 3
- 238000013480 data collection Methods 0.000 claims description 2
- 230000003387 muscular Effects 0.000 description 6
- 210000004247 hand Anatomy 0.000 description 5
- 238000000034 method Methods 0.000 description 5
- 230000000694 effects Effects 0.000 description 3
- 238000007405 data analysis Methods 0.000 description 2
- 230000002452 interceptive effect Effects 0.000 description 2
- 206010008190 Cerebrovascular accident Diseases 0.000 description 1
- 208000011092 Hand injury Diseases 0.000 description 1
- 208000006011 Stroke Diseases 0.000 description 1
- 230000004913 activation Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000002490 cerebral effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 208000014674 injury Diseases 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 208000020431 spinal cord injury Diseases 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000008733 trauma Effects 0.000 description 1
- 210000001364 upper extremity Anatomy 0.000 description 1
Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/389—Electromyography [EMG]
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61H—PHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING OR STIMULATING REFLEX POINTS IN THE BODY; ARTIFICIAL RESPIRATION; MASSAGE; BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSES OR SPECIFIC PARTS OF THE BODY
- A61H1/00—Apparatus for passive exercising; Vibrating apparatus; Chiropractic devices, e.g. body impacting devices, external devices for briefly extending or aligning unbroken bones
- A61H1/02—Stretching or bending or torsioning apparatus for exercising
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61H—PHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING OR STIMULATING REFLEX POINTS IN THE BODY; ARTIFICIAL RESPIRATION; MASSAGE; BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSES OR SPECIFIC PARTS OF THE BODY
- A61H1/00—Apparatus for passive exercising; Vibrating apparatus; Chiropractic devices, e.g. body impacting devices, external devices for briefly extending or aligning unbroken bones
- A61H1/02—Stretching or bending or torsioning apparatus for exercising
- A61H1/0218—Drawing-out devices
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61H—PHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING OR STIMULATING REFLEX POINTS IN THE BODY; ARTIFICIAL RESPIRATION; MASSAGE; BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSES OR SPECIFIC PARTS OF THE BODY
- A61H1/00—Apparatus for passive exercising; Vibrating apparatus; Chiropractic devices, e.g. body impacting devices, external devices for briefly extending or aligning unbroken bones
- A61H1/02—Stretching or bending or torsioning apparatus for exercising
- A61H1/0274—Stretching or bending or torsioning apparatus for exercising for the upper limbs
- A61H1/0285—Hand
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61H—PHYSICAL THERAPY APPARATUS, e.g. DEVICES FOR LOCATING OR STIMULATING REFLEX POINTS IN THE BODY; ARTIFICIAL RESPIRATION; MASSAGE; BATHING DEVICES FOR SPECIAL THERAPEUTIC OR HYGIENIC PURPOSES OR SPECIFIC PARTS OF THE BODY
- A61H1/00—Apparatus for passive exercising; Vibrating apparatus; Chiropractic devices, e.g. body impacting devices, external devices for briefly extending or aligning unbroken bones
- A61H1/02—Stretching or bending or torsioning apparatus for exercising
- A61H1/0274—Stretching or bending or torsioning apparatus for exercising for the upper limbs
- A61H1/0285—Hand
- A61H1/0288—Fingers
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
- A63B23/00—Exercising apparatus specially adapted for particular parts of the body
- A63B23/035—Exercising apparatus specially adapted for particular parts of the body for limbs, i.e. upper or lower limbs, e.g. simultaneously
- A63B23/12—Exercising apparatus specially adapted for particular parts of the body for limbs, i.e. upper or lower limbs, e.g. simultaneously for upper limbs or related muscles, e.g. chest, upper back or shoulder muscles
- A63B23/16—Exercising apparatus specially adapted for particular parts of the body for limbs, i.e. upper or lower limbs, e.g. simultaneously for upper limbs or related muscles, e.g. chest, upper back or shoulder muscles for hands or fingers
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- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Animal Behavior & Ethology (AREA)
- Physical Education & Sports Medicine (AREA)
- Veterinary Medicine (AREA)
- Public Health (AREA)
- Rehabilitation Therapy (AREA)
- Pain & Pain Management (AREA)
- Epidemiology (AREA)
- Orthopedic Medicine & Surgery (AREA)
- Engineering & Computer Science (AREA)
- Surgery (AREA)
- Molecular Biology (AREA)
- Medical Informatics (AREA)
- Heart & Thoracic Surgery (AREA)
- Biomedical Technology (AREA)
- Physics & Mathematics (AREA)
- Pathology (AREA)
- Biophysics (AREA)
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
The invention discloses a hand function rehabilitation evaluation and training system. The hand function rehabilitation evaluation and training system collects biological electromyographic signals of four fingers and thumbs of patients, collects information of muscle force of the patients, performs evaluation, and performs suitable hand function training according to the evaluation.
Description
Technical field
The invention belongs to medical instruments field, especially a kind of healing hand function assessment and training system.
Background technology
Hands functional training refers to that functional activation exercise reaches the grip improving hands and the training process pinching power.Be applicable to the hand muscular strength descender that a variety of causes causes, as hand injury, burn, spinal cord injury, apoplexy, cerebral trauma, fracture of upper limb etc.Namely current hands functional training major part passive exercise or partial joint training are for patient's sufferer situation, and setting numerical value, drives brought into motion; Respectively for the training of four fingers, thumb, wrist local; These two training methods can allow patient train hand to be trained, but do not carry out corresponding treatment for the different patient's condition of patient's different phase, can not suit the remedy to the case completely; The carrying out do not associated according to the joint of human body is trained, and association joint being caused synchronously not recover, even because of not associating training, may cause minus effect.And a kind of healing hand function assessment of the present invention and training system, solve above two problems, it had both collected finger, the biological electromyographic signal of thumb, to patient's muscular strength information, and assessed, and then carried out suitable hands functional training according to assessment.
Summary of the invention
The present invention is the assessment of a kind of healing hand function and training system, adopts following technical scheme:
A kind of healing hand function assessment and training system, comprise the collection of biological electromyographic signal, the amplification of biological electromyographic signal, the filtration of abiotic electromyographic signal, AD sampling, biological electromyographic signal analysis and treament, driver output.
Biological electromyographic signal of the present invention is collected as biological surface electromyographic signal, and electrode slice is placed on muscle skin surface, carries out data collection, wherein have zero potential to the extensor of four fingers, thumb, wrist, musculus flexor, and zero potential is with reference to pole.
Biological electromyographic signal is enlarged into is amplified faint biological electromyographic signal by amplifying circuit, and wherein amplifying circuit is differential amplifier circuit; Difference channel is symmetry and the negative feedback of circuit parameter, effectively stablizes quiescent point, suppresses common-mode signal for marked feature to amplify difference mode signal; Amplification is 5000-10000 times of protozoa electromyographic signal size.
Abiotic electromyographic signal is filtered into filter circuit, by low pass filter, high pass filter, notch filter, filters invalid noise interferences, screens useful biological electromyographic signal; Low pass filter is the biological electromyographic signal that can obtain below 1000HZ; High pass filter is the biological electromyographic signal that can obtain more than 10HZ; Notch filter filters the signal of 50HZ; AD sampling be collect low pass filter, high pass filter, notch filter three can collection of biological electromyographic signal, the biological electromyographic signal between 10HZ-1000HZ can be chosen to be by low pass filter, high pass filter, can be filtered out the signal of telecommunication of 50HZ by notch filter, low pass filter, high pass filter, notch filter three run simultaneously and choose the biological electromyographic signal between biological electromyographic signal analysis and treament, 10HZ-1000HZ and reject the 50HZ signal of telecommunication.
Biological electromyographic signal analysis and treament is that the biological electromyographic signal of the AD sampling of collecting is sent to control centre, carry out data analysis and process, be treated to digital signal, the current biological electromyographic signal of patient can be judged according to AD sampling analysis and be inclined to biological electromyographic signal, the i.e. motion that can carry out of current muscular strength situation and muscular strength, patient can be understood in real time by this and suffer from condition, train targetedly to actual effect simultaneously.
Biological flesh point signal be EMG=(An-Ar)/(Am-Ar) wherein, An is the amplitude of electromyographic signal after rectifying and wave-filtering that the corresponding muscle in affected part joint produces in current kinetic, and the Ar electromyographic signal amplitude through rectifying and wave-filtering after of muscle when rest that to be affected part joint corresponding, Am is the amplitude peak of electromyographic signal after rectifying and wave-filtering that the corresponding muscle of affected part produces during maximum spontaneous contractions.
Driver output is according to reception Data Bio electromyographic signal, carries out driver output, i.e. patient's healing hand function training; A kind of healing hand function assessment is furnished with game with training system, according to different training positions and different exercise for power, is furnished with different game; Belong to is portable rehabilitation equipment simultaneously.
Beneficial effect of the present invention is:
A kind of healing hand function assessment and training system, comprise the collection of biological electromyographic signal, the amplification of biological electromyographic signal, the filtration of abiotic electromyographic signal, AD sampling, biological electromyographic signal analysis and treament, driver output.
Its innovative point has:
1. carry out real-time collection of biological electromyographic signal, assessment according to patient profiles, and carry out the hands functional training of actual effect;
2. dynamic and intelligent controls, and realizes interactive back-to-back running;
3. mancarried device, installation, carrying convenience.
Accompanying drawing explanation
The assessment of Fig. 1 healing hand function and training system flow chart
Fig. 2 pre-amplification circuit
Fig. 3 second amplifying circuit
Fig. 4 low-pass filter circuit figure
Fig. 5 high-pass filtering circuit figure
Fig. 6 notch filter circuit diagram
The assessment of Fig. 7 healing hand function and training system device flow chart
The assessment of Fig. 8 healing hand function and training system driving device
Wherein: 1. tester; 20. 4 refer to electromyographic electrode; 21. thumb electromyographic electrodes; 30. 4 refer to myoelectricity filtering and amplifying circuit; 31. thumb myoelectricity filtering and amplifying circuits; 4. data collecting card; 5. control centre; 6. driving device; 901. wrist driving mechanisms; 902. four refer to driving mechanism; 903. thumb drives mechanisms.
Detailed description of the invention
Below, by reference to the accompanying drawings and detailed description of the invention, the present invention is described further:
Refer to a kind of healing hand function assessment of Fig. 1, Fig. 7, Fig. 8 the present invention and training system, by the muscular strength signal in electrode slice test four finger, thumb two joints, because biological electromyographic signal is faint and bioelectrical signals exists interfering signal, so electromyographic signal amplification and electromyographic signal filtration will be carried out, and acquired signal, export to control centre and carry out data analysis and process, control centre sends the instruction of driving device motion.
Four fingers are carried out to tester 1, thumb electromyographic signal is collected, be divided into 2 parts, one of them is four finger electromyographic electrodes 20, another one is thumb electromyographic electrode 21, the data tested are surface electromyogram signal acquisition, refer to that myoelectricity pole piece 20 is placed on four finger muscle groups four, thumb electromyographic electrode 21 is placed on thumb muscles group; Muscle extensor, musculus flexor two numerical value are gathered.
Amplify the biological electromyographic signal collected and carry out Filtering Processing, described amplifying circuit is difference channel, and elementary amplification 5-1200 doubly, most preferably is 100 times, and secondary amplification 5-300 doubly, elects 10 times most as; Filter circuit is low pass filter, high pass filter, notch filter, wherein low pass is collect the signal of telecommunication of below 1000HZ, high pass filter is the signal of telecommunication collecting more than 10HZ, notch filter is the signal of telecommunication of rejecting 50HZ, filter circuit gathers the 10-1000HZ signal of telecommunication by low pass filter, high pass filter, notch filter, most wherein preferably is the 10-500HZ signal of telecommunication.
Before sampling, most preferably surface electromyogram signal (EMG signal) amplifies 10000 times, carries out bandpass filtering, carry out trap filtration treatment to 50Hz power frequency within the scope of 10-500Hz, with the frequency of 2000Hz, EMG signal is sampled, with moving integration algorithm, calculation process is carried out to EMG signal.
Following formula is adopted to obtain standardized electromyographic signal EMG, EMG=(An-Ar)/(Am-Ar) wherein, An is the amplitude of electromyographic signal after rectifying and wave-filtering that the corresponding muscle in affected part joint produces in current kinetic, and the Ar electromyographic signal amplitude through rectifying and wave-filtering after of muscle when rest that to be affected part joint corresponding, Am is the amplitude peak of electromyographic signal after rectifying and wave-filtering that the corresponding muscle of affected part produces during maximum spontaneous contractions.
Data acquisition 4, export control core 5, analysis and treament is carried out by computer terminal, send four fingers, thumb carries out frequency and the setting of muscular strength size of active exercise, driving device 6 carries out driving device output according to control core 5 instruction, four refer to driving mechanism 902, thumb drives mechanism 903 exports tester 1 according to instruction and carries out active training, wrist driving mechanism 901 refers to driving mechanism 902 with four respectively, thumb drives mechanism 903 links, four refer to that driving mechanisms and thumb drives mechanism kinematic are according to when active training that bioelectrical signals carries out being detected, wrist driving mechanism 901 is adjusted to suitable angle simultaneously and dynamics carries out active exercise.
To one skilled in the art, according to technical scheme described above and design, other various corresponding change and deformation can be made, and all these change and deformation all should belong within the protection domain of the claims in the present invention.
Claims (12)
1. healing hand function assessment and a training system, include the collection of biological electromyographic signal, the amplification of biological electromyographic signal, the filtration of abiotic electromyographic signal, AD sampling, biological electromyographic signal analysis and treament, driver output.
2. a kind of healing hand function assessment according to claim 1 and training system, it is characterized in that, it is electrode slice that described biological electromyographic signal collects used carrier.
3. a kind of healing hand function assessment according to claim 2 and training system, is characterized in that, it is reference potential that described biological electromyographic signal collection includes zero potential.
4. a kind of healing hand function assessment according to claim 2-3 and training system, is characterized in that, described biological electromyographic signal is collected as four fingers, the extensor of thumb, musculus flexor carry out data collection.
5. a kind of healing hand function assessment according to claim 1 and training system, it is characterized in that, described biological electromyographic signal is enlarged into differential amplifier circuit.
6. a kind of healing hand function assessment according to claim 5 and training system, it is characterized in that, described biological electromyographic signal is enlarged into 5000-10000 doubly.
7. a kind of healing hand function assessment according to claim 1 and training system, it is characterized in that, described abiotic electromyographic signal is filtered into by low pass filter, high pass filter, notch filter, filters invalid noise interferences, screens useful biological electromyographic signal; Low pass filter is the biological electromyographic signal that can obtain below 1000HZ; High pass filter is the biological electromyographic signal that can obtain more than 10HZ; Notch filter filters the power frequency component of 50HZ.
8. a kind of healing hand function assessment according to claim 1 and training system, it is characterized in that, described AD is sampled as the biological electromyographic signal between 10HZ-1000HZ.
9. a kind of healing hand function assessment according to claim 8 and training system, it is characterized in that, the biological electromyographic signal between described 10HZ-1000HZ is for rejecting the 50HZ signal of telecommunication.
10. a kind of healing hand function assessment according to claim 1 and training system, it is characterized in that, described biological electromyographic signal be EMG=(An-Ar)/(Am-Ar) wherein, An is the amplitude of electromyographic signal after rectifying and wave-filtering that the corresponding muscle in affected part joint produces in current kinetic, and the Ar electromyographic signal amplitude through rectifying and wave-filtering after of muscle when rest that to be affected part joint corresponding, Am is the amplitude peak of electromyographic signal after rectifying and wave-filtering that the corresponding muscle of affected part produces during maximum spontaneous contractions.
11. a kind of healing hand functions assessment according to claim 1 and training systems, is characterized in that, described driving device is four finger driving mechanisms 902, thumb drives mechanism 903 exports tester 1 according to instruction and carry out active training.
12. a kind of healing hand function assessment according to claim 11 and training systems, it is characterized in that, described driving device is that wrist driving mechanism 901 refers to driving mechanism 902 with four respectively, thumb drives mechanism 903 links, when four finger driving mechanisms and thumb drives mechanism kinematic, wrist driving mechanism 901 is adjusted to suitable angle simultaneously and dynamics carries out active exercise.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201510024778.0A CN104545908A (en) | 2015-01-19 | 2015-01-19 | Hand function rehabilitation evaluation and training system |
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| CN201510024778.0A CN104545908A (en) | 2015-01-19 | 2015-01-19 | Hand function rehabilitation evaluation and training system |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106691478A (en) * | 2016-12-30 | 2017-05-24 | 深圳大学 | Sub-site hand function rehabilitation evaluation method and device |
| CN106137679B (en) * | 2016-07-19 | 2018-06-19 | 青岛市妇女儿童医院 | A kind of rehabilitation equipment available for finger training |
| CN110038290A (en) * | 2019-05-21 | 2019-07-23 | 深圳市问库信息技术有限公司 | A kind of muscle force recovering auxiliary device |
| CN110101549A (en) * | 2019-06-21 | 2019-08-09 | 山东慧慈医疗科技有限公司 | Healing hand function training system |
| CN112515915A (en) * | 2020-11-30 | 2021-03-19 | 重庆电子工程职业学院 | Wearable finger rehabilitation robot |
-
2015
- 2015-01-19 CN CN201510024778.0A patent/CN104545908A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106137679B (en) * | 2016-07-19 | 2018-06-19 | 青岛市妇女儿童医院 | A kind of rehabilitation equipment available for finger training |
| CN106691478A (en) * | 2016-12-30 | 2017-05-24 | 深圳大学 | Sub-site hand function rehabilitation evaluation method and device |
| CN110038290A (en) * | 2019-05-21 | 2019-07-23 | 深圳市问库信息技术有限公司 | A kind of muscle force recovering auxiliary device |
| CN110101549A (en) * | 2019-06-21 | 2019-08-09 | 山东慧慈医疗科技有限公司 | Healing hand function training system |
| CN112515915A (en) * | 2020-11-30 | 2021-03-19 | 重庆电子工程职业学院 | Wearable finger rehabilitation robot |
| CN112515915B (en) * | 2020-11-30 | 2023-01-17 | 重庆电子工程职业学院 | Wearable finger rehabilitation robot |
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Application publication date: 20150429 |