CN111436938A - Limb swelling monitoring device and method - Google Patents
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- CN111436938A CN111436938A CN202010367452.9A CN202010367452A CN111436938A CN 111436938 A CN111436938 A CN 111436938A CN 202010367452 A CN202010367452 A CN 202010367452A CN 111436938 A CN111436938 A CN 111436938A
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- 230000008961 swelling Effects 0.000 title claims abstract description 60
- 238000012806 monitoring device Methods 0.000 title claims abstract description 25
- 238000000034 method Methods 0.000 title claims abstract description 10
- 238000005452 bending Methods 0.000 claims abstract description 98
- 238000012544 monitoring process Methods 0.000 claims abstract description 21
- 238000012937 correction Methods 0.000 claims abstract description 18
- 238000013528 artificial neural network Methods 0.000 claims description 13
- 238000004364 calculation method Methods 0.000 claims description 10
- 210000002569 neuron Anatomy 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 4
- 238000012549 training Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000002560 therapeutic procedure Methods 0.000 description 2
- 238000003745 diagnosis Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000000399 orthopedic effect Effects 0.000 description 1
- 230000002980 postoperative effect Effects 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
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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
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
- A61B5/1071—Measuring physical dimensions, e.g. size of the entire body or parts thereof measuring angles, e.g. using goniometers
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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
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
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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
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
- A61B5/1072—Measuring physical dimensions, e.g. size of the entire body or parts thereof measuring distances on the body, e.g. measuring length, height or thickness
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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
- A61B5/68—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
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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
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
- A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
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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
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/742—Details of notification to user or communication with user or patient ; user input means using visual displays
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
- A61B2562/02—Details of sensors specially adapted for in-vivo measurements
- A61B2562/0271—Thermal or temperature sensors
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Abstract
The invention relates to a limb swelling monitoring device and a method, wherein a bending sensor, a temperature sensor, an MCU (microprogrammed control unit) processor, a memory and a display screen are matched to form the limb swelling monitoring device, when the monitoring device is used for monitoring, the bending sensor and the temperature sensor of a swelling measuring device are worn on a measured limb, the MCU processor reads the resistance value and the current temperature of the bending sensor in real time, and then the current bending angle of the bending sensor is calculated according to the resistance value and the temperature and by combining correction parameters. And calculating the equivalent perimeter of the measured part according to the length and the bending angle of the bending sensor. The circumference obtained by monitoring the limb at different moments is displayed on a display screen to form a circumference change curve, and medical personnel can intuitively obtain the swelling degree and the change trend of the limb according to the change curve.
Description
Technical Field
The invention relates to the field of medical electronics, in particular to a limb swelling monitoring device and method.
Background
The limb swelling is a common clinical symptom, the health condition of the body can be known by observing swelling change, and diagnosis and treatment are facilitated, and the accuracy of observing the swelling change is very critical. The detection of limb swelling is generally that orthopedics is applied mostly, and the swelling monitoring is matched while postoperative cold therapy or thermal therapy is carried out, so that help is provided for medical staff. At present, the limb swelling degree is obtained clinically by adopting a manual measurement mode, a large error exists in accuracy, the real health condition cannot be accurately judged, and further treatment measures cannot be taken easily.
In view of the above, the present inventors have made extensive conception on the problems of the limb swelling monitoring, and have developed the present invention.
Disclosure of Invention
The invention aims to provide a limb swelling monitoring device and method capable of accurately monitoring the swelling degree of limbs.
In order to achieve the purpose, the invention adopts the technical scheme that:
a limb swelling monitoring device comprises a bending sensor, a temperature sensor, an MCU (microprogrammed control unit) processor, a memory and a display screen, wherein the bending sensor is connected with the MCU processor, is attached to a detected limb and is used for monitoring the swelling degree of the detected limb; the temperature sensor is connected with the MCU processor, is attached to the detected limb and is used for measuring the temperature of the detected limb; the memory is connected with the MCU processor and used for storing the correction parameters of the bending sensor; the MCU processor is used for reading the resistance value of the bending sensor and the temperature of the temperature sensor in real time and calculating the swelling degree of the detected limb by combining the correction parameters; the display screen is connected with the MCU processor and used for displaying the limb swelling degree of the limb.
The bending sensor, the temperature sensor, the MCU processor, the memory and the display screen are of an integrated structure.
The bending sensor and the temperature sensor are of an integrated structure and are worn on the limb to be measured; the MCU processor, the memory and the display screen are of an integrated structure.
And the bending sensor and the temperature sensor are in communication connection with the MCU processor in a wireless or wired mode.
The bending sensor and the temperature sensor are arranged on the binding belt and are worn on the limb to be measured through the binding belt.
A limb swelling monitoring method comprising the steps of:
Step 1.1, obtaining resistance values of a bending sensor at different temperatures and different angles to form a parameter correction table of the bending sensor;
step 1.2, training a neural network by using a parameter correction table of the bending sensor to obtain a bending sensor angle calculation model, wherein the model contains correction parameters of the bending sensor;
the neural network is a fully-connected neural network and is provided with two inputs of temperature and resistance, and one output is formed in an angle;
Step 2.1, wearing a bending sensor and a temperature sensor of the swelling measuring device on the measured limb, and reading a resistance value R of the bending sensor and a temperature value T of the temperature sensor by the MCU processor in real time;
2.2, inputting the resistance value R of the bending sensor and the temperature value T of the temperature sensor into a trained bending sensor angle calculation model to obtain a bending angle α of the bending sensor;
step 2.3, calculating the equivalent circumference C of the tested limb (L × 360/α) according to the length L of the bending sensor and the bending angle α;
and 3, displaying the circumference of the detected limb on a display screen in real time, and acquiring the change condition of the swelling degree of the detected limb according to the change condition of the circumference C of the detected limb on the display screen.
The neural network has four hidden layers, wherein the first two hidden layers respectively contain 12 neurons, and the last two hidden layers contain 6 neurons.
After the scheme is adopted, the limb swelling monitoring device is formed by matching the bending sensor, the temperature sensor, the MCU processor, the memory and the display screen, when the monitoring device is used for monitoring, the bending sensor and the temperature sensor of the swelling measuring device are worn on a measured limb, the MCU processor reads the resistance value and the current temperature of the bending sensor in real time, and then the current bending angle of the bending sensor is obtained by calculation according to the resistance value and the temperature and by combining correction parameters. And calculating the equivalent perimeter of the measured part according to the length and the bending angle of the bending sensor. The circumference obtained by monitoring the limb at different moments is displayed on a display screen to form a circumference change curve, and medical personnel can intuitively obtain the swelling degree and the change trend of the limb according to the change curve. Meanwhile, compared with the existing monitoring device, the detection device for limb swelling has higher accuracy.
Drawings
FIG. 1 is a schematic block diagram of a limb swelling monitoring device according to the present invention;
FIG. 2 is a schematic view of a limb swelling monitoring device according to the present invention;
FIG. 3 is a schematic diagram of a neural network according to the present invention;
FIG. 4 is a two-dimensional surface plot fitted by a neural network according to an embodiment of the present invention.
Detailed Description
As shown in fig. 1, the invention discloses a limb swelling monitoring device, which comprises at least one bending sensor 2, at least one temperature sensor 3, an MCU processor 1, a memory 4 and a display screen 5, wherein the bending sensor 2 is connected to the MCU processor 1, is attached to a detected limb and is used for monitoring the swelling degree of the detected limb, and when the swelling degree of the limb changes, the bending angle of the bending sensor 2 changes along with the change of the swelling degree of the limb, and the resistance value of the bending sensor changes; the temperature sensor 3 is connected with the MCU processor 1, is attached to the detected limb and is used for measuring the temperature of the detected limb; the memory 4 is connected with the MCU processor 1 and used for storing the correction parameters of the bending sensor 2; the MCU processor 1 is used for reading the resistance value of the bending sensor 2 and the temperature of the temperature sensor 3 in real time and calculating the swelling degree of the detected limb by combining the correction parameters; the display screen 5 is connected with the MCU processor 1 and is used for displaying the limb swelling degree of the limb.
The bending sensor 2 and the temperature sensor 3 are arranged on the binding band 7 and are worn on the measured limb of the patient through the binding band 7, and the MCU processor 1, the memory 4 and the display screen 5 can be worn on the measured limb together with the bending sensor 2 or can be independent of the bending sensor 2 and the temperature sensor 3. That is to say that limbs swelling monitoring devices both can be as an organic whole structure, also can be for the components of a whole that can function independently structure. When the device is in a split structure, the bending sensor 2 and the temperature sensor 3 are integrated and worn on the limb to be measured, and the MCU processor 1, the memory 4 and the display screen 5 are integrated. At this time, the bending sensor 2 and the temperature sensor 3 may be connected to the MCU processor 1 through a data line, or may be communicatively connected to the MCU processor 1 through bluetooth, a network, or the like. Namely, the bending sensor 2 and the temperature sensor 3 are in communication connection with the MCU processor 1 in a wired or wireless manner.
As shown in fig. 2, in an embodiment of the present invention, the limb swelling monitoring device comprises three bending sensors 2, three temperature sensors 3, an MCU processor 1, a memory 4 and a display screen 5, among others. MCU treater 1, memory 4 and display screen 5 cooperation form a monitoring main part 6, and a bending sensor 2 and a temperature sensor 3 locate and form a set of monitoring bandage on a bandage 7, supply to form three sets of monitoring bandages. The bending sensors 2 and the temperature sensors 3 in the three groups of monitoring bands are in communication connection with the MCU processor 1 of the monitoring main body 6 through data lines. As shown in fig. 2, three sets of monitoring bands can simultaneously monitor different locations of the swollen limb. When only one position needs to be measured, only one bending sensor 2 and one temperature sensor 3 may be employed in the limb swelling monitoring device; when multiple positions need to be measured, multiple bending sensors 2 and multiple temperature sensors 3 may be employed.
Based on the same inventive concept, the invention also discloses a limb swelling monitoring method, which comprises the following steps:
step 1.1, obtaining resistance values of the bending sensor 2 at different temperatures and different angles to form a parameter correction table of the bending sensor 2, as shown in table 1;
TABLE 1
Step 1.2, training the neural network by using a parameter correction table of the bending sensor 2 to obtain an angle calculation model of the bending sensor 2, wherein the model contains correction parameters of the bending sensor 2 and can better fit a relation curve of the temperature, the angle and the resistance value of the bending sensor 2. As shown in fig. 3, the neural network is a fully-connected neural network having two inputs of temperature and resistance, one output at an angle, and four hidden layers, wherein the first two hidden layers each contain 12 neurons, and the second two hidden layers contain 6 neurons.
The two-dimensional surface plot obtained by fitting the data in table 1 is shown in fig. 4.
Step 2.1, wearing a bending sensor 2 and a temperature sensor 3 of the swelling measuring device on the measured limb, and reading a resistance value R of the bending sensor 2 and a temperature value T of the temperature sensor 3 by the MCU processor 1 in real time;
and 2.2, inputting the resistance value R of the bending sensor 2 and the temperature value T of the temperature sensor 3 into the trained angle calculation model of the bending sensor 2, and obtaining the bending angle α of the bending sensor 2.
And 2.3, calculating the equivalent circumference C of the detected limb (L × 360/α) according to the length L and the bending angle α of the bending sensor 2.
And 3, displaying the circumference of the detected limb on the display screen 5 in real time, and acquiring the change condition of the swelling degree of the detected limb according to the change condition of the circumference C of the detected limb on the display screen 5.
The key point of the invention is that the limb swelling monitoring device is formed by matching the bending sensor 2, the temperature sensor 3, the MCU processor 1, the memory 4 and the display screen 5, when the monitoring device is used for monitoring, the bending sensor 2 and the temperature sensor 3 of the swelling measuring device are worn on a measured limb, the MCU processor 1 reads the resistance value and the current temperature of the bending sensor 2 in real time, and then the current bending angle of the bending sensor 2 is calculated according to the resistance value and the temperature and by combining correction parameters. The equivalent circumference of the measured part can be calculated according to the length and the bending angle of the bending sensor 2. The circumferences of the limbs monitored at different moments are displayed on the display screen 5 to form a circumference change curve, and medical personnel can visually acquire the swelling degree and the change trend of the limbs according to the change curve. Meanwhile, compared with the existing monitoring device, the detection device for limb swelling has higher accuracy.
The above description is only exemplary of the present invention and is not intended to limit the technical scope of the present invention, so that any minor modifications, equivalent changes and modifications made to the above exemplary embodiments according to the technical spirit of the present invention are within the technical scope of the present invention.
Claims (7)
1. A limb swelling monitoring device, characterized in that: the device comprises a bending sensor, a temperature sensor, an MCU (microprogrammed control unit) processor, a memory and a display screen, wherein the bending sensor is connected with the MCU processor, is attached to a detected limb and is used for monitoring the swelling degree of the detected limb; the temperature sensor is connected with the MCU processor, is attached to the detected limb and is used for measuring the temperature of the detected limb; the memory is connected with the MCU processor and used for storing the correction parameters of the bending sensor; the MCU processor is used for reading the resistance value of the bending sensor and the temperature of the temperature sensor in real time and calculating the swelling degree of the detected limb by combining the correction parameters; the display screen is connected with the MCU processor and used for displaying the limb swelling degree of the limb.
2. A limb swelling monitoring device according to claim 1, wherein: the bending sensor, the temperature sensor, the MCU processor, the memory and the display screen are of an integrated structure.
3. A limb swelling monitoring device according to claim 1, wherein: the bending sensor and the temperature sensor are of an integrated structure and are worn on the limb to be measured; the MCU processor, the memory and the display screen are of an integrated structure.
4. A limb swelling monitoring device according to claim 3, wherein: and the bending sensor and the temperature sensor are in communication connection with the MCU processor in a wireless or wired mode.
5. A limb swelling monitoring device according to claim 1, wherein: the bending sensor and the temperature sensor are arranged on the binding belt and are worn on the limb to be measured through the binding belt.
6. A limb swelling monitoring method, characterized in that: the method comprises the following steps:
step 1, obtaining a bending sensor angle calculation model
Step 1.1, obtaining resistance values of a bending sensor at different temperatures and different angles to form a parameter correction table of the bending sensor;
step 1.2, training a neural network by using a parameter correction table of the bending sensor to obtain a bending sensor angle calculation model, wherein the model contains correction parameters of the bending sensor;
the neural network is a fully-connected neural network and is provided with two inputs of temperature and resistance, and one output is formed in an angle;
step 2, measuring limb swelling
Step 2.1, wearing a bending sensor and a temperature sensor of the swelling measuring device on the measured limb, and reading a resistance value R of the bending sensor and a temperature value T of the temperature sensor by the MCU processor in real time;
2.2, inputting the resistance value R of the bending sensor and the temperature value T of the temperature sensor into a trained bending sensor angle calculation model to obtain a bending angle α of the bending sensor;
step 2.3, calculating the equivalent circumference C of the tested limb (L × 360/α) according to the length L of the bending sensor and the bending angle α;
and 3, displaying the circumference of the detected limb on a display screen in real time, and acquiring the change condition of the swelling degree of the detected limb according to the change condition of the circumference C of the detected limb on the display screen.
7. The limb swelling monitoring method according to claim 6, wherein: the neural network has four hidden layers, wherein the first two hidden layers respectively contain 12 neurons, and the last two hidden layers contain 6 neurons.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112336331A (en) * | 2020-10-19 | 2021-02-09 | 桂林市晶瑞传感技术有限公司 | Local human body composition data processing method and analyzer |
Citations (34)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE3535270A1 (en) * | 1985-10-03 | 1987-04-09 | Fischbach Joern Uwe Prof Dr | Device and method for measuring the circumference and volume of oedematous extremities |
| DE4032152A1 (en) * | 1990-10-10 | 1992-04-16 | Elcat Ges Fuer Ind Und Medizin | Strain gauge sensor for blood vol. measurement at human extremities - embraces human extremity and its resistance alters depending on circumference of extremity |
| WO1998014223A1 (en) * | 1996-10-02 | 1998-04-09 | E.I. Du Pont De Nemours And Company | Process for medical implant of cross-linked ultrahigh molecular weight polyethylene having improved balance of wear properties and oxidation resistance |
| CN1250516A (en) * | 1997-03-17 | 2000-04-12 | 加拿大宇航局 | Topological and motion measuring tool |
| WO2006050171A2 (en) * | 2004-11-02 | 2006-05-11 | E-Vision, Llc | Electro-active intraocular lenses |
| CN101002847A (en) * | 2006-12-11 | 2007-07-25 | 三峡大学第一临床医学院 | Medicine for treating mazoplasia, and its preparing method |
| CA2588485A1 (en) * | 2006-05-17 | 2007-11-17 | Hitachi Computer Products (Europe) S.A.S. | Method for determining the morphology of an occupant in an automotive seat with capacitive sensors |
| CN103156612A (en) * | 2011-12-09 | 2013-06-19 | 浩华科技实业有限公司 | Respiratory monitor |
| WO2014172248A1 (en) * | 2013-04-16 | 2014-10-23 | Drexel University | Radial compression utilizing a shape-memory alloy |
| CN104349732A (en) * | 2012-04-09 | 2015-02-11 | 伊西康内外科公司 | Serial communication protocol for medical device |
| WO2015025113A1 (en) * | 2013-08-20 | 2015-02-26 | Khor Joo Moy | Apparatus and method for estimating shape |
| CN205322333U (en) * | 2016-02-03 | 2016-06-22 | 厦门大学附属中山医院 | Novel limbs swelling detector |
| CN205849464U (en) * | 2016-04-18 | 2017-01-04 | 深圳先进技术研究院 | A kind of scanning bed |
| WO2017068573A1 (en) * | 2015-10-22 | 2017-04-27 | Tyto Care Ltd. | System, method and computer program product for physiological monitoring |
| US20170265800A1 (en) * | 2016-03-15 | 2017-09-21 | Claris Healthcare Inc. | Apparatus and Method for Monitoring Rehabilitation from Joint Surgery |
| CN107300435A (en) * | 2011-09-24 | 2017-10-27 | 哈佛大学校长及研究员协会 | Artificial skin and elastic strain sensor |
| US20170367644A1 (en) * | 2016-06-27 | 2017-12-28 | Claris Healthcare Inc. | Apparatus and Method for Monitoring Rehabilitation from Joint Surgery |
| CN107693020A (en) * | 2017-10-23 | 2018-02-16 | 黄鹏 | Backbone physiological camber monitoring device and backbone physiological camber monitoring method |
| US20180049646A1 (en) * | 2016-08-19 | 2018-02-22 | Thalman Health Ltd. | System and method for monitoring core body temperature |
| CN108204797A (en) * | 2018-01-17 | 2018-06-26 | 中南林业科技大学 | A kind of standing tree size detecting method based on angular transducer |
| WO2018144716A1 (en) * | 2017-02-01 | 2018-08-09 | Consensus Orthopedics, Inc. | System and methods with user interfaces for monitoring physical therapy and rehabilitation |
| CN108471986A (en) * | 2016-01-21 | 2018-08-31 | 普莱西公司 | For using the perimeter of body part to change the devices, systems, and methods of progress health monitoring |
| CN108697376A (en) * | 2016-01-13 | 2018-10-23 | 丹麦专用绷带股份有限公司 | Edema therapeutic and monitoring edema therapeutic |
| CN208048983U (en) * | 2017-06-26 | 2018-11-06 | 哈尔滨易奥秘科技发展有限公司 | Intelligent edema limb rehabilitating device based on soft composite material |
| CN109259769A (en) * | 2018-09-26 | 2019-01-25 | 华蓥市铜堡初级中学 | A kind of angular transducer for leg angle measurement |
| CN109341516A (en) * | 2018-11-02 | 2019-02-15 | 郑州大学 | A kind of asynchronous precision alignment system of flexible bending sensor |
| CN208640683U (en) * | 2017-10-25 | 2019-03-26 | 成都航空职业技术学院 | A kind of children's thermo detector |
| US20190117156A1 (en) * | 2017-10-24 | 2019-04-25 | George Mason University | Non-invasive wearable biomechanical and physiology monitor for injury prevention and rehabilitation |
| EP3501377A1 (en) * | 2017-12-21 | 2019-06-26 | Dirk A. Hollander | Wearable device and method for monitoring a joint of a human or animal body |
| CN110827644A (en) * | 2019-12-02 | 2020-02-21 | 营口市贵东医疗器械制造有限公司 | Ultrasonic diagnosis virtual teaching system |
| CN110970109A (en) * | 2019-11-14 | 2020-04-07 | 厦门中翎易优创科技有限公司 | Deep learning-based orthopaedic postoperative rehabilitation scheme recommendation method |
| CN111006801A (en) * | 2019-12-17 | 2020-04-14 | 华中科技大学 | Flexible variable-mode sensor for physiological information monitoring, application and preparation method |
| US20200330011A1 (en) * | 2017-03-29 | 2020-10-22 | Graftwork ,Inc. | Wearable device with multimodal diagnositics |
| CN212489887U (en) * | 2020-04-30 | 2021-02-09 | 厦门中翎易优创科技有限公司 | Limb swelling monitoring device |
-
2020
- 2020-04-30 CN CN202010367452.9A patent/CN111436938B/en active Active
Patent Citations (34)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE3535270A1 (en) * | 1985-10-03 | 1987-04-09 | Fischbach Joern Uwe Prof Dr | Device and method for measuring the circumference and volume of oedematous extremities |
| DE4032152A1 (en) * | 1990-10-10 | 1992-04-16 | Elcat Ges Fuer Ind Und Medizin | Strain gauge sensor for blood vol. measurement at human extremities - embraces human extremity and its resistance alters depending on circumference of extremity |
| WO1998014223A1 (en) * | 1996-10-02 | 1998-04-09 | E.I. Du Pont De Nemours And Company | Process for medical implant of cross-linked ultrahigh molecular weight polyethylene having improved balance of wear properties and oxidation resistance |
| CN1250516A (en) * | 1997-03-17 | 2000-04-12 | 加拿大宇航局 | Topological and motion measuring tool |
| WO2006050171A2 (en) * | 2004-11-02 | 2006-05-11 | E-Vision, Llc | Electro-active intraocular lenses |
| CA2588485A1 (en) * | 2006-05-17 | 2007-11-17 | Hitachi Computer Products (Europe) S.A.S. | Method for determining the morphology of an occupant in an automotive seat with capacitive sensors |
| CN101002847A (en) * | 2006-12-11 | 2007-07-25 | 三峡大学第一临床医学院 | Medicine for treating mazoplasia, and its preparing method |
| CN107300435A (en) * | 2011-09-24 | 2017-10-27 | 哈佛大学校长及研究员协会 | Artificial skin and elastic strain sensor |
| CN103156612A (en) * | 2011-12-09 | 2013-06-19 | 浩华科技实业有限公司 | Respiratory monitor |
| CN104349732A (en) * | 2012-04-09 | 2015-02-11 | 伊西康内外科公司 | Serial communication protocol for medical device |
| WO2014172248A1 (en) * | 2013-04-16 | 2014-10-23 | Drexel University | Radial compression utilizing a shape-memory alloy |
| WO2015025113A1 (en) * | 2013-08-20 | 2015-02-26 | Khor Joo Moy | Apparatus and method for estimating shape |
| WO2017068573A1 (en) * | 2015-10-22 | 2017-04-27 | Tyto Care Ltd. | System, method and computer program product for physiological monitoring |
| CN108697376A (en) * | 2016-01-13 | 2018-10-23 | 丹麦专用绷带股份有限公司 | Edema therapeutic and monitoring edema therapeutic |
| CN108471986A (en) * | 2016-01-21 | 2018-08-31 | 普莱西公司 | For using the perimeter of body part to change the devices, systems, and methods of progress health monitoring |
| CN205322333U (en) * | 2016-02-03 | 2016-06-22 | 厦门大学附属中山医院 | Novel limbs swelling detector |
| US20170265800A1 (en) * | 2016-03-15 | 2017-09-21 | Claris Healthcare Inc. | Apparatus and Method for Monitoring Rehabilitation from Joint Surgery |
| CN205849464U (en) * | 2016-04-18 | 2017-01-04 | 深圳先进技术研究院 | A kind of scanning bed |
| US20170367644A1 (en) * | 2016-06-27 | 2017-12-28 | Claris Healthcare Inc. | Apparatus and Method for Monitoring Rehabilitation from Joint Surgery |
| US20180049646A1 (en) * | 2016-08-19 | 2018-02-22 | Thalman Health Ltd. | System and method for monitoring core body temperature |
| WO2018144716A1 (en) * | 2017-02-01 | 2018-08-09 | Consensus Orthopedics, Inc. | System and methods with user interfaces for monitoring physical therapy and rehabilitation |
| US20200330011A1 (en) * | 2017-03-29 | 2020-10-22 | Graftwork ,Inc. | Wearable device with multimodal diagnositics |
| CN208048983U (en) * | 2017-06-26 | 2018-11-06 | 哈尔滨易奥秘科技发展有限公司 | Intelligent edema limb rehabilitating device based on soft composite material |
| CN107693020A (en) * | 2017-10-23 | 2018-02-16 | 黄鹏 | Backbone physiological camber monitoring device and backbone physiological camber monitoring method |
| US20190117156A1 (en) * | 2017-10-24 | 2019-04-25 | George Mason University | Non-invasive wearable biomechanical and physiology monitor for injury prevention and rehabilitation |
| CN208640683U (en) * | 2017-10-25 | 2019-03-26 | 成都航空职业技术学院 | A kind of children's thermo detector |
| EP3501377A1 (en) * | 2017-12-21 | 2019-06-26 | Dirk A. Hollander | Wearable device and method for monitoring a joint of a human or animal body |
| CN108204797A (en) * | 2018-01-17 | 2018-06-26 | 中南林业科技大学 | A kind of standing tree size detecting method based on angular transducer |
| CN109259769A (en) * | 2018-09-26 | 2019-01-25 | 华蓥市铜堡初级中学 | A kind of angular transducer for leg angle measurement |
| CN109341516A (en) * | 2018-11-02 | 2019-02-15 | 郑州大学 | A kind of asynchronous precision alignment system of flexible bending sensor |
| CN110970109A (en) * | 2019-11-14 | 2020-04-07 | 厦门中翎易优创科技有限公司 | Deep learning-based orthopaedic postoperative rehabilitation scheme recommendation method |
| CN110827644A (en) * | 2019-12-02 | 2020-02-21 | 营口市贵东医疗器械制造有限公司 | Ultrasonic diagnosis virtual teaching system |
| CN111006801A (en) * | 2019-12-17 | 2020-04-14 | 华中科技大学 | Flexible variable-mode sensor for physiological information monitoring, application and preparation method |
| CN212489887U (en) * | 2020-04-30 | 2021-02-09 | 厦门中翎易优创科技有限公司 | Limb swelling monitoring device |
Non-Patent Citations (8)
| Title |
|---|
| EL-TANTAWYL, F (EL-TANTAWYL, FARID) ; AAL, NA (AAL, NADIA ABDEL): "New gasoline and gas barrier from plasticized carbon black reinforced butyl rubber/high-density polyethylene blends", 《JOURNAL OF APPLIED POLYMER SCIENCE 》, vol. 101, no. 3, pages 1237 - 1247 * |
| MAITY, DEBASIS；RAJAVEL, KRISHNAMOORTHY；KUMAR, RAMASAMY THANGAVELU RAJENDRA: "Polyvinyl alcohol wrapped multiwall carbon nanotube (MWCNTs) network on fabrics for wearable room temperature ethanol sensor", 《SENSORS AND ACTUATORS B-CHEMICAL 》, vol. 261, pages 297 - 306 * |
| TAO, HAN；HUANG, JI-SHENG；XIE, QIU-TAO: "Effect of multiple freezing-thawing cycles on structural and functional properties of starch granules isolated from soft and hard wheat", 《FOOD CHEMISTRY 》, vol. 265, pages 18 - 22 * |
| 周云龙,范振儒.: "流化床气固稀相流动体积空隙率的图像检测方法", 《化学反应工程与工艺》, vol. 25, no. 5, pages 431 - 436 * |
| 李常伟: "骨骼肌生物电阻抗与组织生物活性相关性的初步研究", 《万方》 * |
| 毕海波: "基于图像处理技术磁控TIG焊熔池形态研究", 《万方》 * |
| 王燕燕,杨洪发,陈超: "乳洁安胶囊的镇痛作用", 《中国现代应用药学》, vol. 24, no. 2, pages 165 - 168 * |
| 黄骥,宋治远,张倩.: "原代培养乳鼠窦房结细胞肿胀激活氯电流的研究", 《中国循证心血管医学杂志》, vol. 4, no. 03, pages 262 - 265 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112336331A (en) * | 2020-10-19 | 2021-02-09 | 桂林市晶瑞传感技术有限公司 | Local human body composition data processing method and analyzer |
| CN112336331B (en) * | 2020-10-19 | 2023-11-17 | 桂林市晶瑞传感技术有限公司 | Local human body component data processing method and analyzer |
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