IOT-ENABLED REMOTE PATIENT MONITORING WITH REAL-TIME HEALTH DATA ANALYSIS USING LORA, XBEE, AND CLOUD AI

Abstract

A system of Iot-enabled remote patient monitoring with real-time health data analysis using lora, xbee, and cloud ai comprises LRRFTCD Mote, which incorporates STM32 Board, XBee Module, SpO2 Pulse Sensor, Body Temperature Sensor, BPM Sensor, MPU6050 and rechargeable battery, it is possible to obtain and transmit health data in real time for enhancing patient care by monitoring the patient vitals in real time the functionalities of the device can now be maximized further as the LRRFTRCD Mote has an STM32 Board, a LoRaWAN module embedded in XBee, a Buzzer, a 10 inch display that is capacitive touch, and has Solar Panels for Power Supply, thereby facilitating efficient patient monitoring in different settings.

Specification

Description:FIELD OF THE INVENTION
This invention relates to iot-enabled remote patient monitoring with real-time health data analysis using lora, xbee, and cloud ai.
BACKGROUND OF THE INVENTION
This smart solution proposes a sophisticated IoT based remote patient monitoring system capable of gathering, sending and interpreting patients' health related information in real time. Sufficient wireless communication systems and Artificial Intelligence powered cloud based computing facilitates transfer of data from the devices to the central server responsible for more complex processing. The system oversees the vital signs of the patient in the form of oxygen saturation, temperature as well as pulse rate and physical activity and renders the information into a graphic interface and sends it up to most secure AWS cloud environment to perform machine learning, predictive analytics and give AI recommendations. The interface provides a modifiable and effective system of remotely looking after patients and gets insight through dashboards and makes data based choices for improving patients during their therapy sessions. These construction features allow for the delivery of energy efficient solutions while at the same time allowing for deployment into various configurations in healthcare settings.
The current undertaking seeks to fill the persistent and important gap for a system that can provide continuous and real time health monitoring especially in cases where access to the health facilities is difficult, in situations such as pandemics, chronic illness or in rural settings. Most of the existing health care system has no appropriate strategies for remote patient monitoring which leads to late actions and poor management. This invention presents practical solutions to these problems and demonstrates a readily deployable, end-to-end Internet of Things solution to the disconnect between healthcare providers and patients. It allows data to be collected in a timely manner, insights to be predictive and AI recommendations to be given, resulting in people making informed decisions and reducing pressure in the healthcare system whilst enhancing patient engagement.
US10357209B2: A patient monitor for displaying a physiological signal can include a visual element having a middle portion indicative of a transition in the physiological signal between physiological states. The visual element can also include first and second extremity portions, the first extremity portion extending from the middle portion in a first direction and the second extremity portion extending from the middle portion in a second direction. The visual element can also include an actionable value indicator to specify a value about the middle portion and the first and second extremity portions. The patient monitor can also include a processor configured to cause the value indicator to actuate in both the first and second directions according to changes in the physiological signal.
RESEARCH GAP: The system's uniqueness lies in its Real-Time Health Data Analysis utilizing LoRa, XBee, and Cloud AI.
US10610110B2: Improved apparatus and methods for monitoring, diagnosing and treating at least one medical respiratory condition of a patient are provided, including a medical data input interface adapted to provide at least one medical parameter relating at least to the respiration of the patient, and a medical parameter interpretation functionality (104, 110) adapted to receive the at least one medical parameter relating at least to the respiration (102) of the patient and to provide at least one output indication (112) relating to a degree of severity of at least one medical condition indicated by the at least one medical parameter.
RESEARCH GAP: The system's uniqueness lies in its Real-Time Health Data Analysis utilizing LoRa, XBee, and Cloud AI.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical 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 with the accompanying drawings.
The innovation is a unified system made of several connected modules, allowing health tracking and data processing in real time. The sequence of operation starts with the patient's monitor which has some built in sensors for measuring health parameters of the patient such as the oxygen level in the blood, body temperature, the heart rate and motion. Such sensors are permanently in situ and facilities constant data acquisition followed by its wireless transfer to the first communication module. This module provides efficient and reliable data transmission through the use of suitable low power consumption IoT-based communication protocols. The monitoring data is then forwarded to a local hub, where the actuator is located, for further monitoring. This hub has an interactive display that visually shows the data on the patient for quick reference purposes by medical practitioners. The hub further serves as a middle man to ensure that the information is able to reach the cloud server without any interruptions by using low powered, long range communication protocols. Also, since the hub is designed in a modular format there are energy saving parts like batteries that allow continuous functioning of the unit in low power environments.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
FIGURE 1: SYSTEM ARCHITECTURE
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms "a"," "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes" and/or "including," when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", "third", and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The innovation is a unified system made of several connected modules, allowing health tracking and data processing in real time. The sequence of operation starts with the patient's monitor which has some built in sensors for measuring health parameters of the patient such as the oxygen level in the blood, body temperature, the heart rate and motion. Such sensors are permanently in situ and facilities constant data acquisition followed by its wireless transfer to the first communication module. This module provides efficient and reliable data transmission through the use of suitable low power consumption IoT-based communication protocols. The monitoring data is then forwarded to a local hub, where the actuator is located, for further monitoring. This hub has an interactive display that visually shows the data on the patient for quick reference purposes by medical practitioners. The hub further serves as a middle man to ensure that the information is able to reach the cloud server without any interruptions by using low powered, long range communication protocols. Also, since the hub is designed in a modular format there are energy saving parts like batteries that allow continuous functioning of the unit in low power environments.
As soon as the records reach the cloud server, they get processed in a more sophisticated manner through the use of machine learning algorithms as there exists predictive data analytics which seeks to derive value out of the past and current activities and derive artificial intelligence based clinical recommendations. This info is also in the form of processed data which is kept in a secured manner into the cloud databases and accessed by the authorized people over a web dashboard and other local display units. This specialists helps the monitoring of trends, diagnostics of alarming situations and decision making without been hundred percent near to the patient. The construction of the system prescribes its scalability so that there could be many patients and healthcare workers accessing the system concurrently. The design makes it possible for use in different setting using different renewable sources to support the operational process. Such an innovation improves the delivery of health care services as through preventive measures monitoring is done improving response time and easy interventions which in turn enhances the patients health status and relieves the pressure on the health care facilities.
BEST METHOD OF WORKING
With the help of both hardware and software components of LRRFTCD Mote, which incorporates STM32 Board, XBee Module, SpO2 Pulse Sensor, Body Temperature Sensor, BPM Sensor, MPU6050 and rechargeable battery, it is possible to obtain and transmit health data in real time for enhancing patient care by monitoring the patient vitals in real time.
The functionalities of the device can now be maximized further as the LRRFTRCD Mote has an STM32 Board, a LoRaWAN module embedded in XBee, a Buzzer, a 10 inch display that is capacitive touch, and has Solar Panels for Power Supply, thereby facilitating efficient patient monitoring in different settings.
The functioning of this device is also enhanced by connecting it to a Raspberry Pi Processor Board along with LoRaWAN module, GSM modem, LED, and Power supply thus also securing health information over the cloud enabling advanced machine learning analytics and AI based suggestions with access to health professionals remotely.
The LRRFTCD and LRRFTRCD Motes include an Xbee Module for two way communication to enable low power wireless communication for easy transmission of data from patient monitoring devices to health resource distribution centers for efficient health data management.
The LoRaWAN Module embedded in the LRRFTRCD and LRRFRGCD Motes allows to transmit data over a long range with low power requirements ensuring deep connectivity and high growth potential even in remote healthcare applications.
The 10-inch Capacitive Touch Display that is part of the LRRFTRCD Mote provides a simple interface for health workers on the ground to easily view patient's information, respond to alerts instantly, and increases efficiency when making decisions.
The Telecom Module also works with the Solar Panel which is integrated into the LRRFTRCD Mote to guarantee the sustainable, resource-efficient operation of the system, making it deployable in situations with ample limitation or in distant areas.
The LRRFRGCD Mote contains a GSM Modem which guarantees continuous internet connection allowing uploading of patient information using an embedded custom cloud server for remote surveillance and predictive analytic.
ADVANTAGES OF THE INVENTION
1. The Real-Time Health Monitoring to the deployment of sensors such as: the SpO2 Pulse Sensor, Body Temperature Sensor, BPM Sensor and the MPU6050 in the LRRFTCD Mote, the system guarantees an uninterrupted and online data collection that makes it possible to respond to the most critical of the health disturbances.
2. The LRRFTCD and LRRFTRCD Motes have the XBee Module and LoRaWAN Module which are able to provide Low Power Wide Area Network which are beneficial towards relaying information from the patient devices to the cloud.
3. Featuring a 10-inch Capacitive Touch Display, the LRRFTRCD Mote also enables health care practitioners to see patient data in real time and offer care directly to the patients.
4. In the LRRFRGCD Mote, the Raspberry Pi Processor Board; the LoRaWAN Module and the GSM Modem were positioned to push the data securely to a dedicated cloud server for further machine learning and AI recommendations purposes which makes predictive health possible.
5. The LRRFTRCD Mote's Solar-Powered Power Supply also improves the viability of the system to be deployed in rural areas or where resources are few as it reduces costs and conserves the environment, geared towards a sustainable system.
, Claims:1. A system of Iot-enabled remote patient monitoring with real-time health data analysis using lora, xbee, and cloud ai comprises LRRFTCD Mote, which incorporates STM32 Board, XBee Module, SpO2 Pulse Sensor, Body Temperature Sensor, BPM Sensor, MPU6050 and rechargeable battery, it is possible to obtain and transmit health data in real time for enhancing patient care by monitoring the patient vitals in real time.
2. The system as claimed in claim 1, wherein the functionalities of the device can now be maximized further as the LRRFTRCD Mote has an STM32 Board, a LoRaWAN module embedded in XBee, a Buzzer, a 10 inch display that is capacitive touch, and has Solar Panels for Power Supply, thereby facilitating efficient patient monitoring in different settings.
3. The system as claimed in claim 1, wherein the functioning of this device is also enhanced by connecting it to a Raspberry Pi Processor Board along with LoRaWAN module, GSM modem, LED, and Power supply thus also securing health information over the cloud enabling advanced machine learning analytics and AI based suggestions with access to health professionals remotely.
4. The system as claimed in claim 1, wherein the LRRFTCD and LRRFTRCD Motes include an Xbee Module for two way communication to enable low power wireless communication for easy transmission of data from patient monitoring devices to health resource distribution centers for efficient health data management.
5. The system as claimed in claim 1, wherein the LoRaWAN Module embedded in the LRRFTRCD and LRRFRGCD Motes allows to transmit data over a long range with low power requirements ensuring deep connectivity and high growth potential even in remote healthcare applications.
6. The system as claimed in claim 1, wherein the 10-inch Capacitive Touch Display that is part of the LRRFTRCD Mote provides a simple interface for health workers on the ground to easily view patient's information, respond to alerts instantly, and increases efficiency when making decisions.
7. The system as claimed in claim 1, wherein the Telecom Module also works with the Solar Panel which is integrated into the LRRFTRCD Mote to guarantee the sustainable, resource-efficient operation of the system, making it deployable in situations with ample limitation or in distant areas.
8. The system as claimed in claim 1, wherein the LRRFRGCD Mote contains a GSM Modem which guarantees continuous internet connection allowing uploading of patient information using an embedded custom cloud server for remote surveillance and predictive analytic.

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