CN106974649A - Wearable muscular movement state recognition and muscle electric stimulation motion assistant system - Google Patents
Wearable muscular movement state recognition and muscle electric stimulation motion assistant system Download PDFInfo
- Publication number
- CN106974649A CN106974649A CN201710236886.3A CN201710236886A CN106974649A CN 106974649 A CN106974649 A CN 106974649A CN 201710236886 A CN201710236886 A CN 201710236886A CN 106974649 A CN106974649 A CN 106974649A
- Authority
- CN
- China
- Prior art keywords
- signal
- muscle
- control centre
- analysis control
- electromyographic signal
- 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.)
- Pending
Links
Classifications
-
- 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
- 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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/683—Means for maintaining contact with the body
- A61B5/6831—Straps, bands or harnesses
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
- A61N1/00—Electrotherapy; Circuits therefor
- A61N1/18—Applying electric currents by contact electrodes
- A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
- A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
- A61N1/36003—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation of motor muscles, e.g. for walking assistance
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
- A61N1/00—Electrotherapy; Circuits therefor
- A61N1/18—Applying electric currents by contact electrodes
- A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
- A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
- A61N1/36014—External stimulators, e.g. with patch electrodes
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Animal Behavior & Ethology (AREA)
- Veterinary Medicine (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Biophysics (AREA)
- Heart & Thoracic Surgery (AREA)
- Pathology (AREA)
- Surgery (AREA)
- Molecular Biology (AREA)
- Medical Informatics (AREA)
- Physics & Mathematics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Physical Education & Sports Medicine (AREA)
- Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
Abstract
The present invention relates to a kind of wearable muscular movement state recognition and muscle electric stimulation motion assistant system, including band, corresponding electromyographic signal collection point and muscular irritation point are provided with the band, the back side of the band is provided with signal analysis control centre;The electromyographic signal collection point is used for the collection for completing electromyographic signal, and the electromyographic signal collected is transferred into the signal analysis control centre;The signal analysis control centre is used to analyze the multichannel electromyographic signal being collected into, and differentiates the sports category of monitoring muscle, and produces stimulation voltage data corresponding with the category according to the type of sports of muscle;The muscular irritation point produces stimulus signal according to stimulation voltage data stimulates contraction of muscle.The present invention can produce corresponding stimulating current according to the motion conditions of specific muscle group so that muscle produces contraction, so that synkinesia.
Description
Technical field
Perceived the present invention relates to electromyographic signal and motion ancillary technique field, more particularly to a kind of wearable muscle fortune
Dynamic state recognition and muscle electric stimulation motion assistant system.
Background technology
Functional electrostimulation (Functional electrical stimulation, referred to as " FES ") is used in recent years
Treated after apoplexy, realize that motion function rehabilitation is noted by people, many experiments that stroke patient carries out functional electrical stimulation show,
FES can promote the plasticity of nerve, have positive role to the recovery of patient motion function.Normal human is refreshing by motor cortex
The kinesitherapy nerve of spinal cord is delivered to through electric signal, motorial nerve signal passes to neuromuscular junction, and activation muscle is produced
Power, so as to realize the motion of limbs.For paralytic, kinesitherapy nerve signal interruption is caused due to central nervous system injury
Or neuromodulation goes wrong, limb muscle receives abnormal nerve signals or does not receive motor message and lose and be activated
The function of contraction, so may result in limbs by brain control and can not realize autokinetic movement.
Stimulating current is conducted using surface electrode by FES, electric current is flowed to the kinesitherapy nerve for muscle of paralysing by skin, swashed
Kinesitherapy nerve living, so as to cause contraction of muscle, acts limbs generation, makes the Muscular reconstruction of paralysis or decline or recovers function,
Reach the purpose for the treatment of and functional rehabilitation.
Functional electrostimulation can not only maintain patient muscle's volume with recovering aid robot, and decrease muscle is powerful and prevents
Dysarthrasis, can also suppress abnormal muscle group activity, promote the plasticity of nerve and reverse rehabilitation course.
Human motion is to shrink to complete by specific muscle in fact, and current motion assistant system, is by outer mostly
Portion's equipment, directly firmly in the position for needing to move, such as crutch, wheelchair, air bag, these equipment are heavier, and are not
The muscle group for needing to shrink is directly acted on, so that the exercise to specific muscle can not be played a part of.
Southampton University of Southampton C.T.Freeman in 2007 et al. successfully develops functional electrostimulation auxiliary upper limbs health
Multiple robot rehabilitation platform, this platform upper limb rehabilitation robot is mechanical arm type convalescence device, is not wearable exoskeleton health
Multiple robot.Fang-Chen Wu in 2011 et al. are by functional electrostimulation and bilateral arm training (Bilateral arm
Training) combine for stroke patient healing hand function.These costs of equipment are higher, more heavy.
The content of the invention
The technical problems to be solved by the invention are to provide a kind of wearable muscular movement state recognition and muscle electricity thorn
Swash motion assistant system so that structure is more simple and reduces cost.
The technical solution adopted for the present invention to solve the technical problems is:A kind of wearable muscular movement state is provided to know
Corresponding electromyographic signal collection point and flesh are provided with other and muscle electric stimulation motion assistant system, including band, the band
Meat stimulation point, the back side of the band is provided with signal analysis control centre;The electromyographic signal collection point is used to complete myoelectricity
The collection of signal, and the electromyographic signal collected is transferred to the signal analysis control centre;In the signal analysis control
The heart is used to analyze the multichannel electromyographic signal being collected into, and differentiates the sports category of monitoring muscle, and according to the fortune of muscle
Dynamic type produces stimulation voltage data corresponding with the category;The muscular irritation point produces stimulus signal according to stimulation voltage data
Stimulate contraction of muscle.
Also include the first signal processing circuit, described the between the electromyographic signal collection point and signal analysis control centre
One signal processing circuit includes filtering and amplifying circuit and analog to digital conversion circuit, and the filtering and amplifying circuit is believed the myoelectricity collected
Number it is amplified filtering;Analog-digital conversion circuit as described is converted to data signal by filtered electromyographic signal is amplified.
Also include secondary signal process circuit, second letter between the muscular irritation point and signal analysis control centre
Number process circuit includes D/A converting circuit and Waveform adjusting circuit;The D/A converting circuit is used for the signal analysis control
The data signal for the stimulation voltage data that center processed is produced is converted to analog signal;The Waveform adjusting circuit is used to believe simulation
Number waveform be adjusted to the current waveform similar to nerve stimulating current.
The electromyographic signal collection point and muscular irritation point are spaced.
The band is the elastic straps of annular Wearable.
Beneficial effect
As a result of above-mentioned technical scheme, the present invention compared with prior art, has the following advantages that and actively imitated
Really:The present invention can produce corresponding stimulating current according to the motion conditions of specific muscle group so that muscle produces contraction, from
And synkinesia.Collection point and stimulation point are arranged on band by the present invention so that overall structure is more simple, and reduces into
This.
Brief description of the drawings
Fig. 1 is the functional-block diagram of the present invention;
Fig. 2 is the structural representation of band in the present invention.
Embodiment
With reference to specific embodiment, the present invention is expanded on further.It should be understood that these embodiments are merely to illustrate the present invention
Rather than limitation the scope of the present invention.In addition, it is to be understood that after the content of the invention lectured has been read, people in the art
Member can make various changes or modifications to the present invention, and these equivalent form of values equally fall within the application appended claims and limited
Scope.
Embodiments of the present invention are related to a kind of wearable muscular movement state recognition and muscle electric stimulation motion auxiliary
System, as depicted in figs. 1 and 2, including band 4, multiple one-to-one electromyographic signal collection points 1 is provided with the band 4
With muscular irritation point 2, in present embodiment, electromyographic signal collection point 1 is electromyographic signal collection electrode, and muscular irritation point 2 is flesh
Meat stimulating electrode, the back side of the band 4 is provided with signal analysis control centre 3;The electromyographic signal collection point 1 is used to complete
The collection of electromyographic signal, and the electromyographic signal collected is transferred to the signal analysis control centre 3;The signal analysis control
Center 3 processed is used to analyze the multichannel electromyographic signal being collected into, and differentiates the sports category of monitoring muscle, and according to muscle
Type of sports produce corresponding with category stimulation voltage data;The muscular irritation point 2 produces thorn according to stimulation voltage data
Energizing signal stimulates contraction of muscle.Wherein, the sports category of muscle is divided into:Loosen, gently shrink and shrink again three kinds, these three classifications
Correspond to different stimulation voltage data respectively, such as correspondence relatively low stimulation voltage data when loosening, correspondence is medium during light contraction
Stimulation voltage data, correspondence higher stimulation voltage data when shrinking again.
Also include the first signal processing circuit between the electromyographic signal collection point 1 and signal analysis control centre 3, it is described
First signal processing circuit includes filtering and amplifying circuit 5 and analog to digital conversion circuit 6, what 5 pairs of the filtering and amplifying circuit was collected
Electromyographic signal is amplified filtering;Analog-digital conversion circuit as described 6 is converted to data signal by filtered electromyographic signal is amplified.
Also include secondary signal process circuit, described second between the muscular irritation point 2 and signal analysis control centre 3
Signal processing circuit includes D/A converting circuit 7 and Waveform adjusting circuit 8;The D/A converting circuit 7 is used for the signal
The data signal for the stimulation voltage data that analysis and Control center is produced is converted to analog signal;The Waveform adjusting circuit 8 is used for
The current waveform similar to nerve stimulating current is adjusted to the waveform of analog signal.
As shown in Fig. 2 band 4 does the Wearable circularized in present embodiment, elastic straps can be used.Each band
4 carry multiple electromyographic signal collection points 1 and multiple muscular irritations point 2, electromyographic signal collection point 1 and the interval of muscular irritation point 2 row
Row, electromyographic signal collection point 1 and muscular irritation point 2 have corresponding relation, and the signal type of electromyographic signal collection point 1 determines it
The stimulating current of correspondence muscular irritation point 2 is strong and weak.
It is seen that, the present invention can produce corresponding stimulating current so that flesh according to the motion conditions of specific muscle group
Meat produces contraction, so that synkinesia.Collection point and stimulation point are arranged on band by the present invention so that overall structure is more simple
It is single, and reduce cost.
Claims (5)
1. a kind of wearable muscular movement state recognition and muscle electric stimulation motion assistant system, including band (4), its feature
It is, corresponding electromyographic signal collection point (1) and muscular irritation point (2) is provided with the band (4), the band (4)
The back side is provided with signal analysis control centre (3);The electromyographic signal collection point (1) is used for the collection for completing electromyographic signal, and
The electromyographic signal collected is transferred to the signal analysis control centre (3);The signal analysis control centre (3) be used for pair
The multichannel electromyographic signal being collected into is analyzed, and differentiates the sports category of monitoring muscle, and is produced according to the type of sports of muscle
Raw stimulation voltage data corresponding with the category;The muscular irritation point (2) produces stimulus signal according to stimulation voltage data and stimulated
Contraction of muscle.
2. wearable muscular movement state recognition according to claim 1 and muscle electric stimulation motion assistant system, its
It is characterised by, the first signal transacting electricity is also included between the electromyographic signal collection point (1) and signal analysis control centre (3)
Road, first signal processing circuit includes filtering and amplifying circuit (5) and analog to digital conversion circuit (6), the filtering and amplifying circuit
(5) filtering is amplified to the electromyographic signal collected;Analog-digital conversion circuit as described (6) will amplify filtered electromyographic signal and turn
It is changed to data signal.
3. wearable muscular movement state recognition according to claim 1 and muscle electric stimulation motion assistant system, its
It is characterised by, secondary signal process circuit, institute is also included between the muscular irritation point (2) and signal analysis control centre (3)
Stating secondary signal process circuit includes D/A converting circuit (7) and Waveform adjusting circuit (8);The D/A converting circuit (7) is used
Analog signal is converted in the data signal for the stimulation voltage data for producing the signal analysis control centre (3);The ripple
Shape adjustment circuit (8) is used to be adjusted to the current waveform similar to nerve stimulating current to the waveform of analog signal.
4. wearable muscular movement state recognition according to claim 1 and muscle electric stimulation motion assistant system, its
It is characterised by, the electromyographic signal collection point (1) and muscular irritation point (2) are spaced.
5. wearable muscular movement state recognition according to claim 1 and muscle electric stimulation motion assistant system, its
It is characterised by, the band (4) is the elastic straps of annular Wearable.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710236886.3A CN106974649A (en) | 2017-04-12 | 2017-04-12 | Wearable muscular movement state recognition and muscle electric stimulation motion assistant system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710236886.3A CN106974649A (en) | 2017-04-12 | 2017-04-12 | Wearable muscular movement state recognition and muscle electric stimulation motion assistant system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106974649A true CN106974649A (en) | 2017-07-25 |
Family
ID=59344456
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710236886.3A Pending CN106974649A (en) | 2017-04-12 | 2017-04-12 | Wearable muscular movement state recognition and muscle electric stimulation motion assistant system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106974649A (en) |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108433729A (en) * | 2018-04-19 | 2018-08-24 | 福州大学 | A kind of multi signal acquisition and synchronization system for human body sensory motion control research |
CN109550145A (en) * | 2017-09-25 | 2019-04-02 | 三星电子株式会社 | Stimulation apparatus and method |
CN109550146A (en) * | 2018-11-16 | 2019-04-02 | 上海交通大学 | A kind of fatigue mitigation device based on electro photoluminescence Yu muscle infomation detection |
CN109820482A (en) * | 2019-03-05 | 2019-05-31 | 浙江强脑科技有限公司 | Muscular states detection method, device and computer readable storage medium |
CN110090005A (en) * | 2019-05-30 | 2019-08-06 | 北京积水潭医院 | Medical data processing method and processing device, storage medium, electronic equipment |
CN110515297A (en) * | 2019-08-29 | 2019-11-29 | 中国科学院自动化研究所 | Stage motion control method based on redundant muscular skeletal system |
CN111902106A (en) * | 2018-02-02 | 2020-11-06 | D·维亚斯 | Devices and methods for managing and preventing hernias and other musculoskeletal injuries |
CN115040145A (en) * | 2022-05-26 | 2022-09-13 | 广东药科大学附属第一医院 | Wearable muscle contraction reminding device |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1041883A (en) * | 1988-10-19 | 1990-05-09 | 中国医学科学院生物医学工程研究所 | The physical therapy device that is used for hemiplegia patient |
CN1767873A (en) * | 2003-04-01 | 2006-05-03 | 法拉马兹·杰迪迪 | Method of and apparatus for monitoring of muscle activity |
CN102940933A (en) * | 2012-11-26 | 2013-02-27 | 南京伟思医疗科技有限责任公司 | Intelligent electrical stimulation circuit device |
CN102949783A (en) * | 2011-08-26 | 2013-03-06 | 云林科技大学 | Feedback controlled wearable upper limb electrical stimulation device |
WO2016131936A2 (en) * | 2015-02-18 | 2016-08-25 | Wearable Life Science Gmbh | Device, system and method for the transmission of stimuli |
-
2017
- 2017-04-12 CN CN201710236886.3A patent/CN106974649A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1041883A (en) * | 1988-10-19 | 1990-05-09 | 中国医学科学院生物医学工程研究所 | The physical therapy device that is used for hemiplegia patient |
CN1767873A (en) * | 2003-04-01 | 2006-05-03 | 法拉马兹·杰迪迪 | Method of and apparatus for monitoring of muscle activity |
CN102949783A (en) * | 2011-08-26 | 2013-03-06 | 云林科技大学 | Feedback controlled wearable upper limb electrical stimulation device |
CN102940933A (en) * | 2012-11-26 | 2013-02-27 | 南京伟思医疗科技有限责任公司 | Intelligent electrical stimulation circuit device |
WO2016131936A2 (en) * | 2015-02-18 | 2016-08-25 | Wearable Life Science Gmbh | Device, system and method for the transmission of stimuli |
Non-Patent Citations (1)
Title |
---|
孙瑛: "《现代风湿病诊疗手册》", 30 June 2002 * |
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109550145A (en) * | 2017-09-25 | 2019-04-02 | 三星电子株式会社 | Stimulation apparatus and method |
CN109550145B (en) * | 2017-09-25 | 2024-02-23 | 三星电子株式会社 | Stimulation apparatus and method |
CN111902106A (en) * | 2018-02-02 | 2020-11-06 | D·维亚斯 | Devices and methods for managing and preventing hernias and other musculoskeletal injuries |
CN111902106B (en) * | 2018-02-02 | 2023-12-29 | D·维亚斯 | Apparatus and method for managing and preventing hernias and musculoskeletal injuries |
CN108433729A (en) * | 2018-04-19 | 2018-08-24 | 福州大学 | A kind of multi signal acquisition and synchronization system for human body sensory motion control research |
CN108433729B (en) * | 2018-04-19 | 2023-05-12 | 福州大学 | Multi-signal acquisition and synchronization system for human body sensory and motor control research |
CN109550146A (en) * | 2018-11-16 | 2019-04-02 | 上海交通大学 | A kind of fatigue mitigation device based on electro photoluminescence Yu muscle infomation detection |
CN109820482A (en) * | 2019-03-05 | 2019-05-31 | 浙江强脑科技有限公司 | Muscular states detection method, device and computer readable storage medium |
CN110090005A (en) * | 2019-05-30 | 2019-08-06 | 北京积水潭医院 | Medical data processing method and processing device, storage medium, electronic equipment |
CN110515297A (en) * | 2019-08-29 | 2019-11-29 | 中国科学院自动化研究所 | Stage motion control method based on redundant muscular skeletal system |
CN115040145A (en) * | 2022-05-26 | 2022-09-13 | 广东药科大学附属第一医院 | Wearable muscle contraction reminding device |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106974649A (en) | Wearable muscular movement state recognition and muscle electric stimulation motion assistant system | |
CN102886102B (en) | Mirror movement neuromodulation system | |
CN103212156B (en) | The autonomous instrument of hemiplegic patient based on body image theory | |
Calvert et al. | Emergence of epidural electrical stimulation to facilitate sensorimotor network functionality after spinal cord injury | |
Carhart et al. | Epidural spinal-cord stimulation facilitates recovery of functional walking following incomplete spinal-cord injury | |
Popovic et al. | Muscle fatigue of quadriceps in paraplegics: comparison between single vs. multi-pad electrode surface stimulation | |
CN102824691A (en) | Method and device for rebuilding acroparalysis function based on electromyographic signal communication mechanism | |
CN100525854C (en) | Intelligent paralytic patient recovering aid system | |
CN110136800A (en) | A kind of initiative rehabilitation training system that combination is stimulated through cranium electric current | |
CN106237510A (en) | A kind of brain control actively lower limb medical rehabilitation training system | |
CN104951082A (en) | Brain-computer interface method for intensifying EEG (electroencephalogram) signals through stochastic resonance | |
RU2192897C2 (en) | Method for treating cases of postinsult pareses | |
CN112617863B (en) | Hybrid online computer-computer interface method for identifying lateral direction of left and right foot movement intention | |
CN110908506B (en) | Bionic intelligent algorithm-driven active and passive integrated rehabilitation method, device, storage medium and equipment | |
CN108392737A (en) | The lower limb rehabilitation multi-channel function electro photoluminescence output control method of myoelectricity modulation | |
Insausti-Delgado et al. | Influence of trans-spinal magnetic stimulation in electrophysiological recordings for closed-loop rehabilitative systems | |
CN1803216A (en) | Method for directly controlling functionalized electronic simulator using brain wave | |
CN113995956B (en) | Stroke electrical stimulation training intention recognition device based on myoelectricity expected posture adjustment | |
CN108543216A (en) | A kind of hand function reconstructing device and its implementation based on master & slave control | |
CN108697888A (en) | neuromuscular stimulation system and method | |
CN1985758A (en) | Artificial kinetic nerve system reconstructing process for paraplegic walking | |
CN111449651A (en) | System and method for monitoring and training muscle tension based on electroencephalogram signals | |
CN202446674U (en) | Biofeedback treatment instrument | |
CN114504732A (en) | Brain-computer interface rehabilitation training system and training method | |
Fedosov et al. | Independent component analysis for different movements detection in BCI application based on sensorimotor rhythms |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170725 |
|
RJ01 | Rejection of invention patent application after publication |