The present invention relates to the field to telemedicine.
The present invention is related to wearable medical unit based telemedicine.
The present invention relates to machine learning based telemedicine with computer implemented based classification of health conditions.
More particularly, the present invention is related to intelligent management system for wearable medical sensor networks in telemedicine-based applications with deep learning techniques.

BACKGROUND & PRIOR ART

The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in-and-of-themselves may also be inventions.
Some of the prior work listed herewith:
WO/2002/067122WIRELESS INTERNET BIO-TELEMETRY MONITORING SYSTEM AND INTERFACE WO - 29.08.2002 Int.Class 61B 5/00Appl.No PCT/US2002/004369Applicant I-MEDIK, INC.Inventor CHULZE, Arthur , E. A system and method for monitoring patient variables in a wireless manner via a patient worn monitoring device is disclosed. The patient monitoring device is wearable and connects to a variety of sensors (32, 34, 35, 36) and at least one microphone (60) for voice communications. The device connects to a wireless network and thence to the Internet for transmitting data to a Host for access by a medical care provider. The medical care provider communicates with the patient-wearable device via the Internet and the wireless network to send instructions to the patient-wearable monitoring unit and to communicate via voice with the patient. The medical care provider can also flexibly reconfigure (54) the device to change collection parameters. When an alarm limit is exceeded as detected by the sensors (32, 34, 35, 36), the data are transmitted to the Host computer for use by the medical care provider, thereby allowing full mobility to the patient wearing the device.
6443890WIRELESS INTERNET BIO-TELEMETRY MONITORING SYSTEM US - 03.09.2002Int.Class A61B /00Appl.No 09516645Applicant i-Medik, Inc.Inventor Schulze, Arthur E. A system and method for monitoring patient variables in a wireless mode via a patient worn monitoring devices. The patient worn monitoring device connects to a variety of bio-sensors with at least one microphone for voice communications. The pertinent worn device connects to a wireless network and thence to the internet for transmitting voice and data to a health care provider. The health care provider communicates with the patient worn device via the internet and the wireless network to send instructions to the patient worn monitoring unit and to communicate via voice with the patent. The health care provider can also flexibly reconfigure the patent worn monitoring device to change collection parameters for the bio-sensors worn by the patient. When an alarm limit is exceeded an detected by the bio-sensors, it is transmitted to the health care provider over the wireless network and thence over the internet thereby allowing full mobility to the patient wearing the device.
2015181578MEDICAL TELEMETRY SYSTEM AND MEDICAL MULTI-TELEMETER JP - 22.10.2015Int.Class A61B 5/00Appl.No 2014059062Applicant FUKUDA DENSHI CO LTDInventor AMISAKA KENICHI PROBLEM TO BE SOLVED: To provide a medical telemetry system and a medical multi-telemeter capable of improving a wearing feeling of a biological information acquisition part worn by a patient, with a high degree of wearing freedom and less power consumption. SOLUTION: A multi-telemeter 200 includes: a wireless reception part (a short-range wireless communication part 206) for wirelessly receiving biological information (blood pressure value data) from at least one or more biological information acquisition parts (a sphygmomanometer 130); a wired reception part (connectors 203 and 204) for receiving biological information by wire from at least one or more biological information acquisition parts of a second group (an electrocardiogram electrode 110 and a sensor probe 120); and a wireless transmission part 208 for wirelessly transmitting the biological information received by the wireless reception part (the short-range wireless communication part 206) and the wired reception part (the connectors 203 and 204).
2002255545WIRELESS INTERNET BIO-TELEMETRY MONITORING SYSTEM AND INTERFACE AU - 1.08.2002Int.Class G06F 19/00Appl.No 2002255545Applicant I-MEDIK, INC.Inventor Cooper, Tommy .A system and method for monitoring patient variables in a wireless manner via a patient worn onitoring device is disclosed. The patient monitoring device is wearable and connects to a variety of sensors (32, 34, 35, 36) and at least one microphone (60) for voice communications. The device connects to a wireless network and thence to the Internet for transmitting data to a Host for access by a medical care provider. The medical care provider communicates with the patient-wearable device via the Internet and the wireless network to send instructions to the patient-wearable monitoring unit and to communicate via voice with the patient. The medical care provider can also flexibly reconfigure (54) the device to change collection parameters. When an alarm limit is exceeded as detected by the sensors (32, 34, 35, 36), the data are transmitted to the Host computer for use by the medical care provider, thereby allowing full mobility to the patient wearing the device.
20020019584WIRELESS INTERNET BIO-TELEMETRY MONITORING SYSTEM AND INTERFACE US - 4.02.2002Int.Class A61B 5/00Appl.No 09860950Applicant i-Medik, Inc.Inventor Schulze Arthur E.A system and method for monitoring patient variables in a wireless manner via a patient worn monitoring device is disclosed. The patient monitoring device is wearable and connects to a variety of sensors with at least one microphone for voice communications. The device connects to a wireless network and thence to the Internet for transmitting data to a Host for access by a medical care provider. The medical care provider communicates with the patient-wearable device via the Internet and the wireless network to send instructions to the patient-wearable monitoring unit and to communicate via voice with the patient. The medical care provider can also flexibly reconfigure the device to change collection parameters. When an alarm limit is exceeded as detected by the sensors, the data are transmitted to the Host computer for use by the medical care provider, thereby allowing full mobility to the patient wearing the device.
11113942HUMAN AWARENESS TELEMETRY APPARATUS, SYSTEMS, AND METHODS US - 7.09.2021Int.Class G08B 21/02Appl.No 16993848Applicant The Government of the United States of merica, as represented by the Secretary of the Navy Inventor Michael Wade Systems and apparatus are provided for monitoring and/or collecting data regarding environmental conditions and optionally personal health information, and generating warnings for a wearer based on acceptable limits for hazards. Using the collected data, the systems and apparatus communicate recommendations to the wearer to improve or maintain personal safety in the detected environment. Methods for monitoring environmental risks and generating warnings based on acceptable limits for hazards are also provided.
WO/2014/137913WEARABLE DEVICE THAT COMMUNICATES WITH A TELEMETRY SYSTEM WO - 2.09.2014Int.Class A61B 5/04Appl.No PCT/US2014/019932Applicant HELLO INC.Inventor PROUD, ames A wearable device communicates with a telemetry system. One or more sensors are coupled to a wearable device of a user that has a unique user ID. The one or more sensors acquire user information selected from of at least one of, a user's activities, behaviors, habit information and health related information. ID circuitry is at the user wearable device. The wearable device is configured to be coupled to a telemetry system in communication with the one or more sensors. The telemetry system performs an analysis of the user information received from the wearable device to create analyzed personalized information about the user that is then stored in a telemetry system database.
.20100081895WIRELESS MEDICAL TELEMETRY SYSTEM AND METHODS USING RADIO FREQUENCY ENERGIZED BIOSENSORS US - 01.04.2010Int.Class A61B 5/00Appl.No 12306256Applicant ZAND ASON MATTHEWInventor Zand Jason Matthew system is provided that furnishes physiological or biomechanical parameters from sensors placed upon or within a subject. The system comprises radio frequency energized biosensor (RFEB) devices that are powered by and communicate with an external receiver and monitoring apparatus. One embodiment of the system provides for infant monitoring in a crib utilizing RFEB devices incorporated into a dermal patch. Said patch communicates with a receiver suspended above the crib and alerts of early warning signs of sudden infant death syndrome (SIDS) or other physiologic abnormalities. Another embodiment comprises implantable RFEB devices that relay information related to the condition of an internal tissue, organ, or cavity to an external receiver, monitor, and recorder. Other embodiments include wearable sensors for detecting a subject attempting to get out of bed, dislodge medical equipment, or stray from a given location.
WO/2008/076464WIRELESS MEDICAL TELEMETRY SYSTEM AND METHODS USING RADIO-FREQUENCY ENERGIZED BIOSENSORS WO - 26.06.2008Int.Class A61B 5/00Appl.No CT/US2007/071718Applicant SURGISENSE CORPORATION Inventor ZAND, Jason A system is provided that furnishes physiological or biomechanical parameters from sensors placed upon or within a subject. The system comprises radio frequency energized biosensor (RFEB) devices that are powered by and communicate with an external receiver and monitoring apparatus. One embodiment of the system provides for infant monitoring in a crib utilizing RFEB devices incorporated into a dermal patch. Said patch communicates with a receiver suspended above the crib and alerts of early warning signs of sudden infant death syndrome (SIDS) or other physiologic abnormalities. Another embodiment comprises implantable RFEB devices that relay information related to the condition of an internal tissue, organ, or cavity to an external receiver, monitor, and recorder. Other embodiments include wearable sensors for detecting a subject attempting to get out of bed, dislodge medical equipment, or stray from a given location.
WO/2014/137919WEARABLE DEVICE WITH UNIQUE USER ID AND TELEMETRY SYSTEM IN COMMUNICATION WITH ONE OR MORE SOCIAL NETWORKS AND/OR ONE OR MORE PAYMENT SYSTEMS WO - 12.09.2014Int.Class A61B 5/00Appl.No PCT/US2014/019953Applicant HELLO INC.Inventor PROUD, James A wearable device communicates with a telemetry system. One or more sensors are coupled to a wearable device of a user that has a unique user ID. The one or more sensors acquire user information selected from of at least one of, a user's activities, behaviors, habit information and health related information. ID circuitry is at the user wearable device. A telemetry system is in communication with the one or more sensors. The wearable device or the telemetry system is in communication with a social network or a payment system.
109394199HANDHELD TELEMEDICINE SYSTEM CN - 01.03.2019Int.Class A61B 5/0245Appl.No 01810995904.0pplicant NANTONG SAIL TECHNOLOGY INFORMATION SYSTEM CO., LTD.Inventor ZHU IAOFEI The invention relates to the technical field of telemedicine, and particularly relates to a handheld telemedicine system. The system comprises an engine body, a left band and a right band. The surfaceof the engine body is provided with an electronic display, and the left band and the right band are separately arranged on the left end and the right end of the engine body; the surface of the enginebody is further provided with a detecting switch, an air pump switch and a network interface switch; the front side wall of the engine body is provided with a finger hole, inside of the engine body is provided with a finger cavity, and the finger hole communicates with the finger cavity; and an air bag is arranged on the top end inside the finger cavity, a rubber pad is arranged on the bottom endinside the finger cavity, the bottom end of the inside of the air bag is provided with an electrocardiogram electrode slice, and a mini air pump is arranged above the finger cavity in the engine bodyand enables the air bag to communicate with outside environment through an air pipe. Through the arrangement of the telemedicine system, an original large medical system is designed into the handheldmedical system, so that the handheld telemedicine system facilitates medical consultation of personnel in remote areas and is convenient for the personnel to wear; in addition, the system has a detecting function, thereby being worth promoting and using vigorously.
208910231A WEARABLE DEVICE FOR TELEMEDICINE CN - 31.05.2019Int.Class A61B 5/0205Appl.No 201820622751.0Applicant QIN JINGXIAInventor QIN JINGXIAThe utility model iscloses a wearable device for remote medical treatment. Including a body, a display screen is embedded in the top end of the main body; warning lamps and switches are symmetricallyarranged on the two sides of the top end of the main body. a temperature sensor is mounted on one side of the bottom end of the main body; a heart rate sensor is arranged on the other side of the bottom end of the main body; one side of the main body is provided with a USB interface and a card slot. the USB interface and the clamping groove are fixedly embedded into the main body; wherein a firstmounting block is welded to one end of the main body, a first inserting rod is fixedly inserted into the first mounting block, a first wrist strap is connected to the first inserting rod in a sleeving mode, a second mounting block is welded to the other end of the main body, a second inserting rod is fixedly inserted into the second mounting block, and a second wrist strap is connected to the second inserting rod in a sleeving mode. The rubber band is arranged at the bottom end of the second wrist band, and the comfort level is improved through the flexibility of the rubber band.
20200381119VETERINARY TELEMEDICINE SYSTEM AND METHOD US - 03.12.2020Int.Class G16H 0/20Appl.No 16885106Applicant Andy H. GibbsInventor Andy H. Gibbs A veterinary telemedicine system and method for remote diagnosis of pets. The veterinary telemedicine system and method generally includes a library of pet behaviors associated with an individual pet, each behavior comprising a data signature associated with the behavior. The system includes a local computer, which may be a smartphone, adapted to receive a set of data from a plurality of sensors and further adapted to transmit the set of data to a cloud database. The system also includes a smart collar wearable by a pet and comprising a sensor adapted to track a behavior of the pet and further adapted to communicate with the local computer to provide the local computer with pet behavior data from the sensor. The library of pet behaviors is stored on the cloud database and is usable to diagnose pet health via machine learning/artificial intelligence.
.110693475TELEMEDICINE EQUIPMENT CN - 17.01.2020Int.Class A61B 5/021Appl.No 01910862634.0Applicant NANJING SIDAJIE INFORMATION TECHNOLOGY CO., LTD.Inventor WANG ONGMEI The invention relates to telemedicine equipment. The telemedicine equipment comprises a dial, a display screen, a connecting box, an adjusting mechanism, an energy saving mechanism and two watchbands,wherein the adjusting mechanism comprises a driving assembly and two adjusting assemblies, each adjusting assembly comprises a roller and two first bearings, the energy saving mechanism comprises a power assembly, a connecting assembly, two cover plates and two solar panels, and the power assembly comprises a knob, a screw, a slider and a second bearing. The telemedicine equipment realizes solarpower generation by the energy saving mechanism to provide power for a medical bracelet, energy is saved, and the telemedicine equipment realizes a function of adjusting the length of watchbands by the adjusting mechanism and can meet wearing demands of different users.
Groupings of alternative elements or embodiments of the invention disclosed herein are not to be construed as limitations. Each group member can be referred to and claimed individually or in any combination with other members of the group or other elements found herein. One or more members of a group can be included in, or deleted from, a group for reasons of convenience and/or patentability. When any such inclusion or deletion occurs, the specification is herein deemed to contain the group as modified, thus fulfilling the written description of all Markus groups used in the appended claims.
As used in the description herein and throughout the claims that follow, the meaning of “a,” “an,” and “the” includes plural reference unless the context clearly dictates otherwise. Also, as used in the description herein, the meaning of “in” includes “in” and “on” unless the context clearly dictates otherwise.
The recitation of ranges of values herein is merely intended to serve as a shorthand method of referring individually to each separate value falling within the range. Unless otherwise indicated herein, each individual value is incorporated into the specification as if it were individually recited herein. All methods described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context.
The use of any and all examples, or exemplary language (e.g. “Such as”) provided with respect to certain embodiments herein is intended merely to better illuminate the invention and does not pose a limitation on the scope of the invention otherwise claimed. No language in the specification should be construed as indicating any non-claimed element essential to the practice of the invention.
The above information disclosed in this Background section is only for the enhancement of understanding of the background of the invention and therefore it may contain information that does not form the prior art that is already known in this country to a person of ordinary skill in the art.

OBJECTIVE OF THE INVENTION

The principal objective of the present invention is to provide intelligent management system for wearable medical sensor networks in telemedicine-based applications with deep learning techniques.

SUMMARY
Before the present systems and methods, are described, it is to be understood that this application is not limited to the particular systems, and methodologies described, as there can be multiple possible embodiments which are not expressly illustrated in the present disclosure. It is also to be understood that the terminology used in the description is for the purpose of describing the particular versions or embodiments only and is not intended to limit the scope of the present application.
The present invention mainly cures and solves the technical problems existing in the prior art. In response to these problems, the present invention discloses intelligent management system for wearable medical sensor networks in telemedicine-based applications with deep learning techniques.
As one aspect of the present invention is to presents “An intelligent management system for wearable medical sensor networks in telemedicine-based applications with deep learning techniques, wherein the system comprising: A wearable medical monitoring unit, used to monitor the physical parameters and physical activity of the person, wearing the wearable medical monitoring unit, wherein the wearable medical monitoring unit comprises: a blood pressure monitoring unit, a heart rate monitoring unit, a temperature monitoring unit and a physical activity monitoring unit , wherein wearable medical monitoring unit further comprises a communication unit, used to communicate the received information from the blood pressure monitoring unit, the heart rate monitoring unit, the temperature monitoring unit and the physical activity monitoring unit ; and A central server unit, used to receive the physical and biomedical parameters of the person wearing the wearable medical monitoring units, wherein an artificial intelligence based machine learning algorithm differentiate the normal, healthy or unhealthy conditions of the persons based on the biomedical parameters, and assign a particular type of group , based on disease with level of the seriousness of disease or health condition, wherein the artificial intelligence based machine learning algorithm assign a consultant or doctor are medical expert according to the type of disease or condition of health or demand of the person placed through to the wearable biomedical monitoring unit and assign a appropriate appointment type according to availability of the consultant or doctor are medical expert with prioritize based on rating of the past patients..”
BRIEF DESCRIPTION OF DRAWINGS
To clarify various aspects of some example embodiments of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings. It is appreciated that these drawings depict only illustrated embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail through the use of the accompanying drawings.
In order that the advantages of the present invention will be easily understood, a detailed description of the invention is discussed below in conjunction with the appended drawings, which, however, should not be considered to limit the scope of the invention to the accompanying drawings, in which:
Figure 1 shows detail Block diagram representation of intelligent management system for wearable medical sensor networks in telemedicine-based applications with deep learning techniques.

DETAIL DESCRIPTION

The present invention is related to intelligent management system for wearable medical sensor networks in telemedicine-based applications with deep learning techniques.
Figure 1 shows detail block diagram representation of intelligent management system for wearable medical sensor networks in telemedicine-based applications with deep learning techniques.
Although the present disclosure has been described with the purpose of intelligent management system for wearable medical sensor networks in telemedicine-based applications with deep learning techniques, it should be appreciated that the same has been done merely to illustrate the invention in an exemplary manner and to highlight any other purpose or function for which explained structures or configurations could be used and is covered within the scope of the present disclosure.
The intelligent management system for wearable medical sensor networks in telemedicine-based applications with deep learning techniques is disclosed.
The intelligent management system for wearable medical sensor networks in telemedicine-based applications with deep learning techniques, comprises a wearable medical monitoring unit and a central server unit.
The wearable medical monitoring unit is used to monitor the physical parameters and physical activity of the person, wearing the wearable medical monitoring unit.
The wearable medical monitoring unit comprises a blood pressure monitoring unit, a heart rate monitoring unit, a temperature monitoring unit and a physical activity monitoring unit .
The wearable medical monitoring unit further comprises a communication unit, used to communicate the received information from the blood pressure monitoring unit, the heart rate monitoring unit, the temperature monitoring unit and the physical activity monitoring unit.
The central server unit is used to receive the physical and biomedical parameters of the person wearing the wearable medical monitoring units. The Centre Serve unit is connected to the variable via medical you need using wireless communication. The mobile computing unit is a smartphone.
An artificial intelligence based machine learning algorithm differentiate the normal, healthy or unhealthy conditions of the persons based on the biomedical parameters, and assign a particular type of group , based on disease with level of the seriousness of disease or health condition.
The artificial intelligence based machine learning algorithm assign a consultant or doctor are medical expert according to the type of disease or condition of health or demand of the person placed through to the wearable biomedical monitoring unit and assign a appropriate appointment type according to availability of the consultant or doctor are medical expert with prioritize based on rating of the past patients.
The wearable biomedical monitoring unit is a wearable smart watch.
The Medical consultant or doctor or medical expert is connected to the central server through their mobile computing unit.
.The figures and the foregoing description give examples of embodiments. Those skilled in the art will appreciate that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be split into multiple functional elements. Elements from one embodiment may be added to another embodiment. For example, order of processes described herein may be changed and are not limited to the manner described herein. Moreover, the actions of any block diagram need not be implemented in the order shown; nor do all of the acts need to be necessarily performed. Also, those acts that are not dependent on other acts may be performed in parallel with the other acts. The scope of embodiments is by no means limited by these specific examples.
Although implementations of the invention have been described in a language specific to structural features and/or methods, it is to be understood that the appended claims are not necessarily limited to the specific features or methods described. Rather, the specific features and methods are disclosed as examples of implementations of the invention.

Claims:

1. An intelligent management system for wearable medical sensor networks in telemedicine-based applications with deep learning techniques, wherein the system comprising:
A wearable medical monitoring unit, used to monitor the physical parameters and physical activity of the person, wearing the wearable medical monitoring unit, wherein the wearable medical monitoring unit comprises<
a blood pressure monitoring unit,
a heart rate monitoring unit,
a temperature monitoring unit and
a physical activity monitoring unit , wherein wearable medical monitoring unit further comprises a communication unit, used to communicate the received information from the blood pressure monitoring unit, the heart rate monitoring unit, the temperature monitoring unit and the physical activity monitoring unit ; and
A central server unit, used to receive the physical and biomedical parameters of the person wearing the wearable medical monitoring units, wherein an artificial intelligence based machine learning algorithm differentiate the normal, healthy or unhealthy conditions of the persons based on the biomedical parameters, and assign a particular type of group , based on disease with level of the seriousness of disease or health condition, wherein the artificial intelligence based machine learning algorithm assign a consultant or doctor are medical expert according to the type of disease or condition of health or demand of the person placed through to the wearable biomedical monitoring unit and assign a appropriate appointment type according to availability of the consultant or doctor are medical expert with prioritize based on rating of the past patients.

2. The intelligent management system for wearable medical sensor networks in telemedicine-based applications with deep learning techniques as claimed in claim 1, the wearable biomedical monitoring unit is a wearable smart watch.

3. The intelligent management system for wearable medical sensor networks in telemedicine-based applications with deep learning techniques as claimed in claim 1, the Centre Serve unit is connected to the variable via medical you need using wireless communication.

4. The intelligent management system for wearable medical sensor networks in telemedicine-based applications with deep learning techniques as claimed in claim 1, the Medical consultant or doctor or medical expert is connected to the central server through their mobile computing unit.

5. The intelligent management system for wearable medical sensor networks in telemedicine-based applications with deep learning techniques as claimed in claim 1, the mobile computing unit is a smartphone..