CN112807139A - Human body deformation signal processor and use method thereof - Google Patents
Human body deformation signal processor and use method thereof Download PDFInfo
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- CN112807139A CN112807139A CN201911126864.7A CN201911126864A CN112807139A CN 112807139 A CN112807139 A CN 112807139A CN 201911126864 A CN201911126864 A CN 201911126864A CN 112807139 A CN112807139 A CN 112807139A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61F—FILTERS IMPLANTABLE INTO BLOOD VESSELS; PROSTHESES; DEVICES PROVIDING PATENCY TO, OR PREVENTING COLLAPSING OF, TUBULAR STRUCTURES OF THE BODY, e.g. STENTS; ORTHOPAEDIC, NURSING OR CONTRACEPTIVE DEVICES; FOMENTATION; TREATMENT OR PROTECTION OF EYES OR EARS; BANDAGES, DRESSINGS OR ABSORBENT PADS; FIRST-AID KITS
- A61F2/00—Filters implantable into blood vessels; Prostheses, i.e. artificial substitutes or replacements for parts of the body; Appliances for connecting them with the body; Devices providing patency to, or preventing collapsing of, tubular structures of the body, e.g. stents
- A61F2/50—Prostheses not implantable in the body
- A61F2/68—Operating or control means
- A61F2/70—Operating or control means electrical
- A61F2/72—Bioelectric control, e.g. myoelectric
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61F—FILTERS IMPLANTABLE INTO BLOOD VESSELS; PROSTHESES; DEVICES PROVIDING PATENCY TO, OR PREVENTING COLLAPSING OF, TUBULAR STRUCTURES OF THE BODY, e.g. STENTS; ORTHOPAEDIC, NURSING OR CONTRACEPTIVE DEVICES; FOMENTATION; TREATMENT OR PROTECTION OF EYES OR EARS; BANDAGES, DRESSINGS OR ABSORBENT PADS; FIRST-AID KITS
- A61F2/00—Filters implantable into blood vessels; Prostheses, i.e. artificial substitutes or replacements for parts of the body; Appliances for connecting them with the body; Devices providing patency to, or preventing collapsing of, tubular structures of the body, e.g. stents
- A61F2/50—Prostheses not implantable in the body
- A61F2/68—Operating or control means
- A61F2/70—Operating or control means electrical
- A61F2002/701—Operating or control means electrical operated by electrically controlled means, e.g. solenoids or torque motors
Abstract
The invention discloses a human body deformation signal processor and a use method thereof, aiming at solving the technical problem of accurately acquiring the movement intention of each finger. The structure includes: a barrel body and a signal processing unit; the cylinder body is cylindrical as a whole; a plurality of recesses are formed on the cylinder body; the signal processing unit is hollow and is provided with a medium, and at least one surface of the signal processing unit is thin-walled; the sensor, the signal processing module and the signal transmitting module are arranged in the hollow cavity and are connected through leads; the sensor measures the change of the medium, the signal processing module processes the sensor signals, and the information transmitting module transmits the signals; the cylinder body and the signal processing unit are connected together through a recess on the cylinder body; when the signal processing unit works, a medium needs to be put in to enable the thin-wall surface to bulge. The invention can detect the deformation signal of the finger muscle target point, thereby obtaining the movement intention of each finger.
Description
Technical Field
The invention relates to the technical field of human body deformation signal acquisition and processing, in particular to a human body deformation signal processor and a using method thereof.
Background
The human movement intention signals that the intelligent upper limb can recognize include body surface electromyogram (sEMG), electromyogram (myoelectric gesture), ultrasonic (ultrasound), body power (body powered), and the like. The body surface electromyographic signals are most widely applied and are human motion intention recognition modes adopted by most of the existing intelligent bionic hands. However, the effective body surface electromyogram signals which can be collected by the forearm are only two groups of signals of a forearm palmar muscle group and a forearm dorsal muscle group, and obviously, the requirement of recognizing the complicated human motion intention by the intelligent artificial limb cannot be met. While new intelligent bionic hands have been able to perform a variety of functions, including grasping, three-finger pinch, thumb-side pinch, and separate movement of the thumb and index finger, among others. However, when the above-described operation is completed, it is necessary to switch different ways to a limited signal source to decode the human motion intention. Therefore, the intelligent bionic hand needs to be used for long-term learning and is difficult to control, and the functions of the novel intelligent hand are not fully exerted. Therefore, lack of physiological signal sources has become an important bottleneck restricting the development of intelligent artificial limbs.
The accurate acquisition of the human motion intention signal source is an important factor for improving the intelligent bionic hand control effect. Theoretically, the proportion of the thumb and the index finger is large in the hand function, and especially, the thumb accounts for nearly half of the hand function. Therefore, if the intelligent bionic hand can accurately acquire the movement intention signals of the thumb and the index finger, the control and the use of the intelligent bionic hand are more flexible and convenient. However, the muscles governing the movement of the thumb and the index finger are all located in the deep layer of the forearm muscle, and the myoelectric signals of the body surface cannot be accurately acquired.
The hand is complex in function, with important actions including grasping, thumb-side pinching, three-finger pinch, and thumb and index finger pointing alone. Thus, the movements of the thumb, index finger, 3-5 fingers, and wrist of the smart bionic hand need to be separately identified and controlled to potentially perform the complex functions of the smart bionic hand. For patients with middle-distal forearm or wrist amputation, muscles with normal contraction function are still left in the affected forearm to control the movements of the thumb, index finger, 3-5 fingers and wrist, respectively. Multiple target muscle-tendons were selected to be anchored to different regions of the limb's subcutaneous tissue by Muscle Redistribution Technology (MRT). After the brain sends out the limb movement instruction, when the corresponding muscle contracts, the corresponding skin area can generate obvious concave deformation, and the movement intention of each finger can be identified in a one-to-one correspondence mode through signal acquisition of the concave deformation of the skin area. And the motion of each intelligent artificial limb finger can be controlled, so that the intelligent artificial limb is close to normal finger motion.
Disclosure of Invention
The invention aims to provide a human body deformation signal processor and a use method thereof, so that the concave deformation of each finger muscle target point is converted into a corresponding digital signal, the movement intention movement of each finger is accurately identified, and the movement of each intelligent artificial limb finger can be controlled, so that the intelligent artificial limb is close to the normal finger movement.
In order to achieve the above object, in one aspect, the present invention provides a human body deformation signal processor, including: a barrel body and a signal processing unit; the cylinder body is cylindrical as a whole; a plurality of recesses are formed on the cylinder body; the signal processing unit is hollow and is provided with a medium, and at least one surface of the signal processing unit is thin-walled; the sensor, the signal processing module and the signal transmitting module are arranged in the hollow cavity and are connected through leads; the sensor measures the change of the medium, the signal processing module processes the sensor signals, and the information transmitting module transmits the signals; the cylinder body and the signal processing unit are connected together through a recess on the cylinder body; when the signal processing unit works, a medium needs to be put in to enable the thin-wall surface to bulge.
Preferably, the barrel is resilient.
Preferably, the hollow cavity of the signal processing unit is closed.
Preferably, the medium filled in the hollow cavity of the signal processing unit may be a gas.
Preferably, the medium filled in the hollow cavity of the signal processing unit may be a liquid.
Preferably, the hollow intracavity medium of the signal processing unit may be an elastic solid.
Preferably, the hollow intracavity medium of the signal processing unit may be an electromagnetic field.
Preferably, the thin wall of the signal processing unit is elastically deformable.
Preferably, the barrel is made of a rubber or silicone material.
Preferably, the signal processing unit is made of rubber or plastic material.
Preferably, the medium filled in the hollow cavity of the signal processing unit may be air.
Preferably, the medium filled in the hollow cavity of the signal processing unit may be water.
Preferably, the hollow cavity medium of the signal processing unit may be an elastic strip.
Preferably, a capacitor may be placed in the hollow cavity of the signal processing unit.
Preferably, a hall sensor may be placed in the hollow cavity of the signal processing unit.
Preferably, the thin wall of the signal processing unit is made of an elastic material.
Preferably, the sensor, the signal processing module and the signal transmitting module in the signal processing unit are integrated together.
Preferably, the signal transmitting module in the signal processing unit is in a wireless mode.
In another aspect, the present invention further provides a method for using the human body deformation signal processor, which includes the following steps:
s1: the cylinder body is spread and sleeved on the limb, and each hole corresponds to one finger muscle target point;
s2: the bulged thin-wall surface of the signal processing unit in the working state is tightly attached to the flat finger muscle target point and is fastened on the cylinder body depression;
s3: when the human body thinks to drive the fingers to move, the target muscle can be contracted and forms a depression in the target area, and the thin wall surface of the signal processing unit is also bulged inwards;
s4: some physical quantities of the medium in the closed cavity change along with the change, and the change is detected by the sensor and transmitted into the signal processing module to be converted into corresponding digital signals;
s5: the signal transmitting module receives the digital signal and transmits the digital signal to the corresponding receiving module of the intelligent artificial limb for further processing.
The invention has the beneficial effects that:
the human body deformation signal processor provided by the invention can be conveniently applied to the acquisition of limb deformation signals when in use, breaks through the application limitation of the electromyographic sensor in the prior art, and fills a technical blank of the acquisition of the limb signals. The defect that the conventional myoelectric sensor can only sense the electric signals of the muscles of the whole limb and cannot accurately acquire the electric signals of the muscles of each finger can be overcome. The human consciousness signal of each finger can be accurately acquired, so that each finger can be controlled independently. Furthermore, the barrel body is an elastic body and tightly wraps the limbs, the signal processing unit is firmly fixed on the barrel body, and the firmness of the signal processing unit and the surface of the human body in fitting is increased, so that the stability of signal acquisition is improved. Furthermore, the bulging thin wall of the signal processing unit is tightly attached to the muscle target point, so that the follow-up purpose is achieved, and conditions are created for continuous signal acquisition in the later period.
Furthermore, the sensor, the signal processing module and the information transmitting module are integrated together, so that the size is reduced, the size of the whole signal processing unit can be reduced, the signal processing unit can be focused on a muscle target point, and the accuracy of signal acquisition is improved.
Furthermore, the continuous change of the medium in the closed cavity is caused by the movement of the thin wall of the signal processing unit, and the sensor measures the change of the medium at any time, so that the accuracy of signal acquisition is improved.
Furthermore, the information processing module converts the analog signals into continuous digital signals, and the convenience of post-processing is improved.
Furthermore, the signal transmitting module is in a wireless mode, so that the constraint of wires is eliminated, the simplicity and convenience of installation are improved, and the reliability of the system is improved.
Drawings
Exploded assembly drawing of the embodiment of figure 1
FIG. 2 sectional view of a signal processing unit according to embodiment 1
FIG. 3 sectional view of a signal processing unit according to embodiment 2
FIG. 4 sectional view of a signal processing unit according to embodiment 3
FIG. 5 sectional view of signal processing unit according to embodiment 4
FIG. 6 sectional view of a signal processing unit according to embodiment 5
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.
Example 1:
the scheme is in a cylindrical shape as a whole, fig. 1 is an assembly explosion diagram of the scheme, and fig. 2 is a sectional view of a signal processing unit. The device consists of two parts, namely a cylinder 1 and a signal processing unit 2. The signal processing unit is composed of 6 parts: 3. the device comprises a film sleeve, 4 parts of a base, 5 parts of a pressure sensor, 6 parts of a signal processing module, 7 parts of a lead, 8 parts of a signal transmitting module.
The signal processing unit installation process is as follows: firstly, the pressure sensor 5, the signal processing module 6 and the signal transmitting module 8 are integrated together; drilling two small holes at the bottom of a base 4 made of rubber or similar materials, enabling a lead 7 to penetrate out of the holes and be connected to a signal processing module, and smearing sealant on a connecting point for sealing; fixing the signal processing module at the bottom of the base 4, and sealing two small holes at the bottom of the base 4; and finally, the film sleeve 3 is spread and sleeved at the opening part of the base 4, the opening part of the film sleeve 3 is embedded into the groove of the base 4, and the tightness of the sealed cavity can be ensured because the film sleeve is made of rubber or similar materials. The needle tube is used for pricking the wall of the base 4 to inflate the sealed cavity to swell the thin wall of the film sleeve 3, so that the signal processing unit 2 is in a working state.
When the scheme is implemented, the cylinder body 1 is spread and sleeved on the limbs, and the cylinder body is tightly wrapped on the limbs by the elasticity of the cylinder body; each hole corresponds to a finger muscle target point; the bulging surface of the thin film sleeve 3 is tightly attached to the finger muscle target point and is arranged in the clamping groove on the cylinder body 1 through the boss on the base 4 so as to be fixed on the cylinder body. Because the target muscle surface is substantially flat under normal conditions, the target muscle surface will press the bulged face of the membrane sleeve 3 back to a substantially flat condition. Connect external power source through wire 7 and make signal processing unit circular telegram, when human mind drive finger motion, the target muscle will contract and form a sunken in the target region, the thin wall of signal processing unit also swells thereupon, thereby the air pressure in the airtight chamber changes because of the volume change of airtight intracavity air, pressure sensor 5 detects this change and changes into the signal of telecommunication, and then the transmission is carried out signal processing and is become digital signal to signal processing module 6, then gives signal emission module 8, signal emission module 8 transmits and is carried out the processing in next step for the corresponding receiving module of intelligent artificial limb.
The working principle is as follows: the pressure sensor is generally characterized in that a vacuum cavity and a Wheatstone bridge are processed on a monocrystalline silicon wafer by utilizing an MEMS technology, output voltages at two ends of a bridge arm of the Wheatstone bridge are in direct proportion to applied pressure, and the pressure sensor has the characteristics of small volume, high precision, high response speed and no influence of temperature change after temperature compensation and calibration. The output mode is generally an analog voltage output mode and a digital signal output mode.
Example 2:
the scheme is in a cylindrical shape as a whole, fig. 1 is an assembly explosion diagram of the scheme, and fig. 3 is a sectional view of a signal processing unit. The device consists of two parts, namely a cylinder 1 and a signal processing unit 2. The signal processing unit is composed of 8 parts: 3. the MEMS flow sensor comprises a film sleeve, 4 parts of a base, 5 parts of a signal processing module, 6 parts of a signal transmitting module, 7 parts of a lead, 8 parts of the film sleeve, 9 parts of the MEMS flow sensor, 10 parts of a data line.
The signal processing unit installation process is as follows: firstly, the signal processing module 5 and the signal transmitting module 6 are integrated together; drilling a small hole at the bottom of a base 4 made of rubber or similar materials, enabling a data line 10 to penetrate out of the hole and be connected to a signal processing module, and smearing sealant on a connecting point for sealing; fixing the signal processing module at the bottom of the base 4, and sealing the small hole at the bottom of the base 4; drilling a hole at the bottom of the base 4, inserting the MEMS flow sensor 9 into the hole and performing sealing treatment, and connecting the data line 10 with the MEMS flow sensor 9 and performing sealing treatment; and finally, the film sleeve 3 and the film sleeve 8 are spread and sleeved at the respective opening parts of the base 4, the opening parts of the film sleeves are embedded in the grooves of the base 4, and the film sleeves are made of rubber or similar materials, so that the tightness of the sealed cavity can be ensured. The needle tube is used for penetrating the wall of the base 4 to fill the closed cavity with liquid, so that the thin wall of the thin film sleeve 3 is bulged, and the thin wall of the thin film sleeve 8 is slightly bulged because the thin wall elasticity of the thin film sleeve 8 is larger than that of the thin film sleeve 3, so that the signal processing unit 2 is in a working state.
When the scheme is implemented, the cylinder body 1 is spread and sleeved on the limbs, and the cylinder body is tightly wrapped on the limbs by the elasticity of the cylinder body; each hole corresponds to a finger muscle target point; the bulging surface of the thin film sleeve 3 is tightly attached to the finger muscle target point and is arranged in the clamping groove on the cylinder body 1 through the boss on the base 4 so as to be fixed on the cylinder body. Because the target muscle surface is substantially flat under normal conditions, the target muscle surface will press the bulged face of the membrane sleeve 3 back to a substantially flat condition. The liquid in the closed cavity wrapped by the film sleeve 3 flows into the closed cavity wrapped by the film sleeve 8 through the hole of the MEMS flow sensor, and the film of the film sleeve 8 is bulged. The signal processing unit is powered on by connecting an external power supply through a lead 7, when a human body idea drives a finger to move, target muscle contracts and forms a depression in a target area, the thin wall surface of the thin film sleeve 3 swells, liquid in the closed cavity flows back to the closed cavity wrapped by the thin film sleeve 3 again, the MEMS flow sensor 9 detects the flow change of the liquid and converts the flow change into an electric signal, the electric signal is transmitted to the signal processing module 5 to be processed into a digital signal, and then the digital signal is transmitted to the signal transmitting module 6, and the signal transmitting module 6 transmits the digital signal to the corresponding receiving module of the intelligent artificial limb to be processed in the next step.
The working principle is as follows: the flow rate per unit area may be generally referred to as a flow velocity. The idea of micro-electro-mechanical systems (MEMS) was born in the fifties of the last century, which also has two important effects on flow sensors. First, the use of MEMS to fabricate a flow sensor can reduce the impact on flow characteristics. And the sensor made of MEMS has the advantages of low power consumption, high integration level, small inertia and the like. Therefore, the development of flow sensors requires features such as high integration and small interference. Second, the development of MEMS itself provides a solution to measuring flow in the case of microsystems. MEMS flow sensors can be divided into many categories, primarily based on their principles and structure. Common flow sensors are: thermal flow sensors, lift-type flow sensors, differential-pressure type flow sensors, biomimetic sensors, fluid vibration sensors, Coriolis sensors, and the like.
Example 3:
the scheme is in a cylindrical shape as a whole, fig. 1 is an assembly explosion diagram of the scheme, and fig. 4 is a sectional view of a signal processing unit. The device consists of two parts, namely a cylinder 1 and a signal processing unit 2. The signal processing unit is composed of 6 parts: 3. the device comprises a film sleeve, 4 parts of a base, 5 parts of a curvature sensor, 6 parts of a signal processing module, 7 parts of a lead, 8 parts of a signal transmitting module.
The signal processing unit installation process is as follows: firstly, the curvature sensor 5, the signal processing module 6 and the signal transmitting module 8 are integrated together; drilling two small holes at the bottom of a base 4 made of rubber or similar materials, enabling a lead 7 to penetrate through the holes and be connected to a signal processing module, and fixing the signal processing module at the bottom of the base 4; finally, the film sleeve 3 is spread and sleeved at the opening part of the base 4, the opening part of the film sleeve 3 is embedded into the groove of the base 4, and the film sleeve is made of rubber or similar materials and has elasticity; the film sleeve bends the curvature sensor until the elastic force of the film sleeve and the elastic force of the curvature sensor are balanced, and the film sleeve and the curvature sensor are relatively static.
When the scheme is implemented, the cylinder body 1 is spread and sleeved on the limbs, and the cylinder body is tightly wrapped on the limbs by the elasticity of the cylinder body; each hole corresponds to a finger muscle target point; the bulging surface of the thin film sleeve 3 is tightly attached to the finger muscle target point and is arranged in the clamping groove on the cylinder body 1 through the boss on the base 4 so as to be fixed on the cylinder body. Since the target muscle surface is substantially flat in the normal state, the target muscle surface will press the bulged face of the membrane sleeve 3 back to a substantially flat state, and the curvature sensor 5 will be further curved. The signal processing unit is powered on by connecting an external power supply through a wire 7, when a human body idea drives a finger to move, target muscle shrinks and forms a depression in a target area, the thin wall surface of the signal processing unit swells, and the curvature of the curvature sensor 5 changes, so that the change can be detected and converted into an electric signal, the electric signal is transmitted to the signal processing module 6 to be processed into a digital signal, and then the digital signal is transmitted to the signal transmitting module 8, and the signal transmitting module 8 transmits the digital signal to the corresponding receiving module of the intelligent artificial limb for further processing.
The working principle is as follows: the core component of the curvature sensor is a resistive strain gauge. A resistance strain gauge is a conversion element that converts a change in strain into a change in resistance. The strain gauge is adhered to the surface of a measured member and connected to a measuring circuit, and the sensitive grid of the strain gauge deforms correspondingly along with the deformation of the member under stress, so that the resistance of the strain gauge changes. The change in resistance is proportional to the surface strain of the member, and the strain or stress of the member can be measured using appropriate measurement circuitry and instrumentation. The strain gauge not only can measure strain, but also can measure other physical quantities, such as force, torque, pressure, displacement, temperature, acceleration and the like, by utilizing the strain gauge as long as the corresponding change of strain can be obtained, so that the strain gauge is widely applied to testing.
Example 4:
the scheme is in a cylindrical shape as a whole, fig. 1 is an assembly explosion diagram of the scheme, and fig. 5 is a sectional view of a signal processing unit. The device consists of two parts, namely a cylinder 1 and a signal processing unit 2. The signal processing unit is composed of 6 parts: 3. the device comprises a film sleeve, 4 parts of a base, 5 parts of a capacitive sensor, 6 parts of a signal processing module, 7 parts of a lead, 8 parts of a signal transmitting module.
The signal processing unit installation process is as follows: firstly, the basal body of the capacitance sensor 5, the signal processing module 6 and the signal transmitting module 8 are integrated together; drilling two small holes at the bottom of a base 4 made of rubber or similar materials, enabling a lead 7 to penetrate out of the holes and be connected to a signal processing module, and smearing sealant on a connecting point for sealing; fixing the signal processing module at the bottom of the base 4, and sealing two small holes at the bottom of the base 4; the other capacitance pole of the capacitance sensor 5 is stuck on the inner surface of the film sleeve 3, and the capacitance pole is connected with the base body of the capacitance sensor 5 through a connecting wire; and finally, the film sleeve 3 is spread and sleeved at the opening part of the base 4, the opening part of the film sleeve 3 is embedded into the groove of the base 4, and the film sleeve is made of rubber or similar materials, so that the tightness of the sealed cavity can be ensured. The needle tube is used for pricking the wall of the base 4 to inflate the sealed cavity to swell the thin wall of the film sleeve 3, so that the signal processing unit 2 is in a working state.
When the scheme is implemented, the cylinder body 1 is spread and sleeved on the limbs, and the cylinder body is tightly wrapped on the limbs by the elasticity of the cylinder body; each hole corresponds to a finger muscle target point; the bulging surface of the thin film sleeve 3 is tightly attached to the finger muscle target point and is arranged in the clamping groove on the cylinder body 1 through the boss on the base 4 so as to be fixed on the cylinder body. Because the target muscle surface is substantially flat under normal conditions, the target muscle surface will press the bulged face of the membrane sleeve 3 back to a substantially flat condition. The signal processing unit is powered on by connecting an external power supply through a wire 7, when a human body idea drives a finger to move, target muscle shrinks and forms a recess in a target area, the thin wall surface of the signal processing unit swells, and the positions of a capacitor electrode and a base electrode of the capacitor sensor 5 change, so that the change can be detected and converted into an electric signal, the electric signal is transmitted to the signal processing module 6 to be processed into a digital signal and then transmitted to the signal transmitting module 8, and the signal transmitting module 8 transmits the digital signal to the corresponding receiving module of the intelligent artificial limb for further processing.
The working principle is as follows: flat capacitor consisting of two parallel metal plates separated by an insulating medium and having a capacitance of c = ε A/d if edge effects are not considered
In the formula, epsilon is the dielectric constant of the medium between the capacitor plates, and epsilon = epsilon 0. epsilon.r, wherein epsilon 0 is the vacuum dielectric constant, and epsilon r is the relative dielectric constant of the medium between the plates; a-the area covered by the two parallel plates; d-the distance between the two parallel plates. When the measured parameter changes to change A, d or epsilon in the formula, the capacitance C is changed. If two parameters are kept unchanged and only one of the parameters is changed, the change of the parameter can be converted into the change of the capacitance, and the change can be converted into the electric quantity output through the measuring circuit. Therefore, the capacitive sensor can be of three types, a variable-pole-pitch type, a variable-area type, and a variable-dielectric type.
Example 5:
the scheme is cylindrical as a whole, fig. 1 is an assembly explosion diagram of the scheme, and fig. 6 is a sectional view of a signal processing unit. The device consists of two parts, namely a cylinder 1 and a signal processing unit 2. The signal processing unit is composed of 6 parts: 3. the sensor comprises a film sleeve, 4 parts of a base, 5 parts of an electromagnetic induction/Hall sensor, 6 parts of a signal processing module, 7 parts of a lead, 8 parts of a signal transmitting module.
The signal processing unit installation process is as follows: firstly, the basal body 5a of the sensor 5, the signal processing module 6 and the signal transmitting module 8 are integrated together; drilling two small holes at the bottom of a base 4 made of rubber or similar materials, enabling a lead 7 to penetrate out of the holes and be connected to a signal processing module, and smearing sealant on a connecting point for sealing; fixing the signal processing module at the bottom of the base 4, and sealing two small holes at the bottom of the base 4; the magnet pole 5b of the sensor 5 is stuck on the inner surface of the film sleeve 3; and finally, the film sleeve 3 is spread and sleeved at the opening part of the base 4, the opening part of the film sleeve 3 is embedded into the groove of the base 4, and the film sleeve is made of rubber or similar materials, so that the tightness of the sealed cavity can be ensured. The needle tube is used for pricking the wall of the base 4 to inflate the sealed cavity to swell the thin wall of the film sleeve 3, so that the signal processing unit 2 is in a working state.
When the scheme is implemented, the cylinder body 1 is spread and sleeved on the limbs, and the cylinder body is tightly wrapped on the limbs by the elasticity of the cylinder body; each hole corresponds to a finger muscle target point; the bulging surface of the thin film sleeve 3 is tightly attached to the finger muscle target point and is arranged in the clamping groove on the cylinder body 1 through the boss on the base 4 so as to be fixed on the cylinder body. Because the target muscle surface is substantially flat under normal conditions, the target muscle surface will press the bulged face of the membrane sleeve 3 back to a substantially flat condition. The signal processing unit is powered on by connecting an external power supply through a wire 7, when a human body idea drives a finger to move, target muscle shrinks and forms a recess in a target area, the thin wall surface of the signal processing unit swells, the distance between the magnet level 5b and the base 5a of the electromagnetic induction/Hall sensor 5 changes, the change can be detected and converted into an electric signal, the electric signal is transmitted to the signal processing module 6 to be processed into a digital signal, and then the digital signal is transmitted to the signal transmitting module 8, and the signal transmitting module 8 transmits the digital signal to the corresponding receiving module of the intelligent artificial limb to be processed in the next step.
The working principle is as follows: the electromagnetic induction law is also called faraday's electromagnetic induction law, and the electromagnetic induction phenomenon refers to the phenomenon of induced electromotive force generated by the change of magnetic flux. Electromagnetic induction sensors utilize the principle of electromagnetic induction. The sensor converts the change of the measured physical quantity into induced electromotive force, thereby establishing the relation between the physical quantity and the induced electromotive force, and is a mechanical-electrical energy conversion type sensor without an external power supply. A hall sensor is a magnetic field sensor made according to the hall effect. The hall effect is that when a current passes through a semiconductor perpendicular to an external magnetic field, carriers are deflected, and an additional electric field is generated perpendicular to the direction of the current and the magnetic field, thereby generating a potential difference across the semiconductor, which is also referred to as a hall potential difference.
Claims (10)
1. A human body deformation signal processor comprising: a barrel body and a signal processing unit; the cylinder body is cylindrical as a whole; a plurality of recesses are formed on the cylinder body; the signal processing unit is hollow and is provided with a medium, and at least one surface of the signal processing unit is thin-walled; the sensor, the signal processing module and the signal transmitting module are arranged in the hollow cavity and are connected through leads; the sensor measures the change of the medium, the signal processing module processes the sensor signals, and the information transmitting module transmits the signals; the cylinder body and the signal processing unit are connected together through a recess on the cylinder body; when the signal processing unit works, a medium needs to be put in to enable the thin-wall surface to bulge.
2. The body-deformation signal processor of claim 1, wherein the barrel is resilient.
3. The human body deformation signal processor of claim 1, wherein the hollow cavity of the signal processing unit is closed.
4. A human body deformation signal processor according to claim 1 or 3, wherein the medium in the hollow cavity of the signal processing unit is a gas.
5. A human body deformation signal processor according to claim 1 or 3 wherein the medium in the hollow cavity of the signal processing unit is a liquid.
6. The human body deformation signal processor of claim 1, wherein the hollow intracavity medium of the signal processing unit is an elastic solid.
7. The human body deformation signal processor according to claim 1 or 3, wherein the medium in the hollow cavity of the signal processing unit is an electromagnetic field.
8. The human body deformation signal processor of claim 1, wherein the thin wall of the signal processing unit is elastically deformable.
9. The human body deformation signal processor as claimed in claim 1, wherein at least one side of the signal processing unit is tightly connected with the recess of the cylinder body.
10. Use method of the human body deformation signal processor according to any one of claims 1 to 9, characterized by comprising the following steps:
s1: the cylinder body is spread and sleeved on the limb, and each recess corresponds to a finger muscle target point;
s2: the bulged thin-wall surface of the signal processing unit in the working state is tightly attached to the flat finger muscle target point and is fastened at the sunken part of the cylinder body;
s3: when the human body thinks to drive the fingers to move, the target muscle can be contracted and forms a depression in the target area, and the thin wall surface of the signal processing unit is also bulged inwards;
s4: some physical quantities of the medium in the closed cavity change along with the change, and the change is detected by the sensor and transmitted into the signal processing module to be converted into corresponding digital signals;
s5: the signal transmitting module receives the digital signal and transmits the digital signal to the corresponding receiving module of the intelligent artificial limb for further processing.
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| CN201911126864.7A CN112807139B (en) | 2019-11-18 | 2019-11-18 | Human body deformation signal processor and use method thereof |
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| CN201911126864.7A CN112807139B (en) | 2019-11-18 | 2019-11-18 | Human body deformation signal processor and use method thereof |
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| CN112807139A true CN112807139A (en) | 2021-05-18 |
| CN112807139B CN112807139B (en) | 2023-07-14 |
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