ARTIFICIAL INTELLIGENCE ASSISTED TELEMEDICINE ROBOTIC KIOSK

Abstract

ABSTRACT ARTIFICIAL INTELLIGENCE ASSISTED TELEMEDICINE ROBOTIC KIOSK The present invention discloses a telemedicine robot system that mainly aims to allow for tele-care management in delivering health services. In this invention, it integrates health monitoring sensors, which include an electrocardiogram, a blood pressure sensor, a pulse oximeter, load cells, and onboard blood test modules. It has a user interface with a touch screen, with audio facility, interactive real-time communication with healthcare providers. Data transmission will be by wireless connectivity, including Wi-Fi and 4G/5G LTE. The robot uses a power management circuit, UV-C light module, and spray nozzle for sanitizing. It assured user safety through proximity sensors, location tracking on the GPS module, and emergency alerts from the GSM module to alert during emergencies. This robot will enable people to monitor their vital signs, carry out diagnostic tests, and receive telemedicine consultations all of this in one holistic, autonomous solution for health assessment and intervention in remote locations. Fig 1

Specification

Description:FORM 2

THE PATENTS ACT, 1970
(39 of 1970)
&
THE PATENTS RULES, 2003

COMPLETE SPECIFICATION
(See Section 10; rule 13)


TITLE OF THE INVENTION
ARTIFICIAL INTELLIGENCE ASSISTED TELEMEDICINE ROBOTIC KIOSK

APPLICANT
K.RAMAKRISHNAN COLLEGE OF ENGINEERING
NH-45, Samayapuram,
Trichy, Tamilnadu, India- 621112


The following specification particularly describes the invention and the manner in which it is to be performed.
ARTIFICIAL INTELLIGENCE ASSISTED TELEMEDICINE ROBOTIC KIOSK
TECHNICAL FIELD
The current project combines several cutting-edge disciplines to improve healthcare delivery, especially in underprivileged areas. Utilizing developments in virtual consultations and wearable health technology, it integrates telemedicine and remote healthcare breakthroughs. For diagnostic support, artificial intelligence and machine learning are used, and natural language processing improves communication in regional tongues. The initiative uses human-robot interaction and sophisticated medical robots to increase accessibility through robotics. For effective patient data management, healthcare informatics-including data analytics and electronic health records-is essential. Biotechnology brings advancements in point-of-care diagnostics and tailored medication, while IoT technology facilitates real-time monitoring with smart medical devices. While infrastructure solutions address energy sustainability and connection, public health innovations concentrate on education and community participation in rural areas. Advances in regulations guarantee data security and compliance, enabling safe and efficient remote medical services.
BACKGROUND
The invention responds to the expanding demand for cutting-edge, easily available healthcare options in underprivileged and isolated locations. Due to a lack of medical facilities, limited resources, and geographic obstacles, traditional healthcare systems frequently have a difficult time providing timely and effective care to rural communities. The emergence of telemedicine has started to close this gap by allowing for remote consultations and health monitoring, but more user-friendly, integrated solutions combining various technologies are still required.
This project is being developed at a pivotal moment in the rapidly growing fields of robotics, artificial intelligence (AI), and healthcare informatics. Robotics and IoT (Internet of Things) technologies provide real-time monitoring and engagement, while AI and machine learning present new possibilities for precise diagnosis and individualized care. Furthermore, advancements in point-of-care diagnostics and biotechnology are improving diagnostic capabilities.
Still, it is difficult to integrate these technologies in a way that makes sense and is both efficient and accessible for users with different degrees of technology literacy, especially in rural areas. The project intends to provide a comprehensive telemedicine solution that offers remote health diagnostics, individualized care, and seamless communication in local languages by merging biotechnology, robotics, IoT, and AI. This method promotes long-term sustainability and resource conservation in the provision of healthcare in addition to meeting urgent needs.
OBJECTIVE OF THE INVENTION
the objects of the invention encompass Enhanced Healthcare Accessibility, Integration of Advanced Technologies, Real-Time Monitoring and Diagnostics, Multilingual Communication, Scalability and Adaptability and consistency, Quality Assurance and Consistency, Data Security and Environmental and Operational Efficiency responsibility and sustainability.
The telemedicine robotic kiosk's main objective is to increase underprivileged and isolated communities' access to medical treatment. The system tackles the issue of restricted access to medical personnel and facilities in rural areas by offering a user-friendly interface for medical diagnostics and consultations. By bridging the gap between patients and healthcare professionals, this innovation hopes to guarantee that even the most remote areas receive prompt medical attention.
Yet another objective is to delivering comprehensive healthcare solutions through the integration of cutting-edge technology, such as robotics, machine learning, and artificial intelligence (AI), is a primary goal. The accuracy of health assessments will be improved by AI-driven diagnostics and machine learning algorithms, while robotics will provide automated, user-friendly interactions. These technologies are integrated to provide accurate and dependable medical support from the system.
Yet another objective is to provide real-time health monitoring and diagnostics. Vital sign sensors-such as blood pressure, heart rate, and oxygen saturation-allow the system to continuously track a patient's health and provide prompt feedback. This capacity is necessary for the early identification of health problems and timely treatment.
Yet another objective is to communicate with users in their native tongues, bridging communication gaps and enhancing patient understanding and involvement. The provision of multilingual support guarantees that a wider spectrum of people can take use of the services provided.
Yet another objective is that the system can be implemented in a variety of contexts, including big medical facilities and little rural clinics. The kiosk's adaptable features allow it to accommodate a variety of medical tests and consultations, and its modular design principles allow it to be scaled to meet the needs of various locations.
Yet another objective is to guarantee consistent, high-quality diagnoses. To ensure accuracy and dependability, the system incorporates quality control procedures such routine sensor calibration and adherence to medical standards. Consistent performance and user satisfaction are enhanced by automatic feedback systems and ongoing monitoring.
Yet another objective is to improve operational effectiveness while lessening its impact on the environment. Sustainable practices encourage the prudent use of resources and are in line with larger environmental objectives. Examples of these activities include trash reduction and energy optimization.
SUMMARY
A cutting-edge medical technology called the telemedicine robotic kiosk was created to increase access to healthcare in rural and neglected areas. It delivers healthcare in a comprehensive and user-friendly manner by combining a number of cutting-edge technology. The incorporation of artificial intelligence (AI) and machine learning, which improve diagnostic precision and adjust in response to gathered data, is at the heart of this innovation. By automating processes like gathering and processing health data, robots enables smooth user-system interactions and expedites the medical examination procedure.
The kiosk's Internet of Things (IoT) and smart medical device setup allows for real-time monitoring of vital signs like blood pressure, heart rate, and oxygen saturation. Continuous health evaluations and quick feedback are made possible by this capability, which is essential for efficient health management and timely action in emergency situations. The total patient result is improved by the system's design, which guarantees that users receive fast and reliable health information.
The kiosk's capacity to communicate in multiple languages through natural language processing (NLP) is one of its primary features. By using this technology, language barriers can be efficiently overcome and patient engagement and understanding are improved as the system can communicate with users in their native tongues. Through the provision of instructions and information in several languages, the kiosk guarantees that its services are accessible to a wide range of user. Additionally, scalability and adaptability were considered in the design of the kiosk. Because of its modular design, it may be easily scaled and adjusted for a variety of settings, including big healthcare complexes and tiny neighborhood clinics. Because of its adaptability, the system can handle a range of healthcare quantities and needs, making it a flexible option for a variety of situations.
The kiosk's design places a strong emphasis on quality assurance, with inbuilt controls to uphold strict guidelines for diagnostic uniformity and accuracy. Users' trust and satisfaction are increased by features like visual inspection stations and real-time process parameter monitoring, which guarantee the system produces dependable and consistent outcomes.
To safeguard patient information, strong encryption and security procedures are prioritized along with data security and compliance. The system ensures the appropriate and secure processing of sensitive data by complying with healthcare rules and standards, such as GDPR and HIPAA.
Lastly, in keeping with environmental objectives, the kiosk integrates sustainable practices and energy-efficient technologies. The system achieves cost savings in operations and promotes environmental sustainability by maximizing resource use and lowering energy consumption.
In conclusion, the telemedicine robotic kiosk, which combines state-of-the-art technology with useful features to give accessible, accurate, and effective medical care, represents a significant improvement in the delivery of healthcare. Its all-encompassing approach tackles important issues with healthcare administration and access, especially for underserved and distant regions, making it an invaluable resource in contemporary healthcare systems.
BRIEF DESCRIPTION OF THE DRAWINGS
The following detailed description is described based on the illustrated drawings with respect to its reference numbers.
FIG 1 illustrates the systematic view, FIG 2 illustrates the side view (right) , FIG 3 illustrates the top view , FIG 4 illustrates the side view (left) , FIG 5 illustrates the back view.
Reference Number Indicated Component
1 Microcontroller/Processor
2 Pulse Oximeter Sensor
3 Blood Pressure Sensor
4 ECG Sensor
5 Load Cells
6 Ultrasonic Sensor
7 Blood Test Kit
8 Touchscreen Display
9 Speakers & Microphone
10 Camera
11 Bluetooth Module
12 Wi-Fi Module and 4G/5G LTE Module
13 Battery Pack
14 Power Management Circuit
15 UV-C Light Module
16 Spray Nozzle System
17 Proximity Sensors
18 Robot Chassis
19 GSM Module And GPS Module
20 Printer Slot
DETAILED DESCRIPTION
The various embodiments and the other advancements and features are illustrated with the reference to the non-limiting details in the following detailed description. Illustration of processing techniques of well-known components are omitted so as to not unnecessarily obscure the embodiments herein.
The system consists of (1) Microcontroller/Processor, (2) Pulse Oximeter Sensor, (3) Blood Pressure Sensor, (4) ECG Sensor, (5) Load Cells, (6) Ultrasonic Sensor, (7) Blood Test Kit ,(8) Touchscreen Display, (9) Speakers & Microphone , (10) Camera,(11) Bluetooth Module, (12)Wi-Fi Module and 4G/5G LTE Module,(13)Battery Pack,(14)Power Management Circuit,(15)UV-C Light Module,(16)Spray Nozzle System,(17)Proximity Sensors,(18)Robot Chassis, (19)GSM Module And GPS Module (20)Printer slot
The telemedicine robot's microprocessor serves as its main control unit, directing both software and hardware functions. It interprets data from sensors, including blood pressure, heart rate, and oxygen saturation, and controls human input via voice commands or the touchscreen. Serving as the brain of the robot, it uses control logic to perform operations such as analyzing sensor data, opening compartments for medical testing, and overseeing the sanitization procedure following each test. Additionally, the processor analyzes health data using AI algorithms, and if any critical situations are found, it can initiate emergency reactions by sending alarms or establishing a telemedicine connection with a doctor. Apart from these fundamental operations, it oversees connectivity via Wi-Fi, Bluetooth, or LTE modules with local databases or cloud services for patient record storage. Additionally, it maintains the robot's functionality even in low-power situations by collaborating with the power management system to ensure effective energy consumption. The telemedicine robot's smooth functioning depends on the microcontroller/processor's ability to coordinate sensing, processing, and communication.

The pulse oximeter sensor is a non-invasive tool that measures heart rate and blood oxygen saturation (SpO₂) levels. It functions by passing red and infrared light through a tissue, usually the earlobe or fingertip. Different blood types absorb these two types of light differently: blood that is low in oxygen absorbs more red light, whereas blood that is high in oxygen absorbs more infrared light. The amount of light that penetrates the tissue is measured by a photodetector on the other side, and the variations in light absorption are utilized to determine the oxygen saturation. The sensor measures the heart rate by detecting variations in blood volume with each heartbeat. The microcontroller or CPU then processes this data, calculating the heart rate and SpO₂ % and either displays the results or sending the data for additional analysis. The pulse oximeter sensor in a telemedicine robot gives important details on the user's heart rate and oxygen saturation levels. If the readings are abnormal, the sensor will automatically notify medical professionals.
By measuring a person's systolic and diastolic blood pressure, the **blood pressure sensor** is intended to provide vital information regarding heart health. Usually, a pressure sensor and an inflatable cuff-just like in a conventional blood pressure monitor-are used to measure blood pressure. The cuff temporarily stops blood flow in the artery when it expands around the wrist or arm. The sensor senses the blood flow returning when the cuff deflates, and this information is used to calculate the systolic and diastolic pressures (the pressure during and between heartbeats). As blood flow resumes, the sensor detects oscillations in the pressure inside the cuff and interprets these signals to determine the blood pressure readings. The robot's system receives this data and uses it for presentation or additional analysis. The blood pressure sensor in a telemedicine robot automates this procedure by measuring blood pressure in real time and indicating any abnormal values that can call for medical intervention.
The Electrocardiogram, or ECG, sensor records the electrical activity of the heart, giving important details about cardiac health and identifying anomalies such arrhythmias. Electrodes are applied to the skin to detect the tiny electrical signals produced by heartbeats. This is how the sensor operates. The depolarization and repolarization of the heart's muscles during contraction and relaxation are represented by these electrical signals. These signals are picked up by the ECG sensor, which then transforms them into an electrocardiogram-a readable waveform. The heart's rhythm is shown by this waveform, which also makes any anomalies in the heartbeat more noticeable. The system then processes and analyzes the data to provide real-time cardiac activity monitoring. The ECG sensor in the telemedicine robot allows for automated cardiac monitoring, providing vital information about the patient's cardiac health and promptly notifying medical personnel of any abnormalities.
Sensors called load cells use mechanical pressure to generate electrical signals that are then used to detect weight or force. Load cells are commonly utilized in telemedicine robots to determine a patient's body weight, which is a crucial component in determining their Body Mass Index (BMI). The strain gauge that makes up the load cell flexes in response to applied weight. The electrical resistance changes in direct proportion to the force or weight applied to the cell when the load is applied. The microcontroller or processor subsequently processes this change to produce a measured electrical signal, which is used to determine the precise weight. The information is shown or utilized to calculate the patient's BMI in conjunction with height measurements. Because load cells are so accurate, they provide accurate weight measurements, which are essential for determining general health and identifying any potential weight-related disorders.
By producing ultrasonic sound waves and timing how long it takes for the sound to return after striking an object, the ultrasonic sensor can estimate distance. This sensor is usually used in telemedicine robots to determine patient height, which is necessary for BMI calculations. High-frequency sound waves are emitted by the sensor, travel through the atmosphere, and reflect back to the sensor when they come into contact with obstructions like a person's head. The sensor then uses the speed of sound to convert the amount of time it takes for the sound waves to return into a distance measurement.
This distance equals the patient's height, which can be used to determine BMI in conjunction with weight measurements. Because ultrasonic sensors are rapid, precise, and non-invasive, they are the perfect choice for measuring height in medical applications.
A telemedicine robot's blood test kit is made to automatically draw and analyze tiny blood samples, giving vital information on a range of health indicators like cholesterol, blood sugar, and other biomarkers. A lancet is usually included in the kit to pierce the patient's finger and extract a drop of blood, which is subsequently transferred to a tiny container or tested on a test strip. Sensors or chemical reagents that react with particular blood constituents are used to analyze the blood sample. The sensors pick up on these reactions and translate the data into electrical signals that the system processes to extract compositional data from the blood. After that, the data-such as blood glucose levels or other crucial metrics-is shown or sent to a medical professional for additional examination. The blood test kit in the telemedicine robot is an effective tool for on-the-spot diagnostics in remote or rural areas since it enables quick, real-time blood testing without the need for lab-based analysis.
A telemedicine robot's touchscreen display acts as its main point of contact with the user, making it simple for patients to use the robot's features and obtain medical care. Through resistive or capacitive sensing, the display detects touch inputs to function. For example, the screen of a capacitive touchscreen is covered in a substance that conducts electricity when touched. A user's touch changes the charge at that precise spot on the screen, which is recognized and processed to pinpoint the precise place of the contact. Next, commands can be entered via the touchscreen, including choosing tests (such blood pressure or ECG), entering personal information, and corresponding with medical professionals. During telemedicine consultations, the display also shows test results, diagnostic data, and video chats in real-time. Because of its touchscreen, even people who are not tech-savvy may simply engage with the robot and get healthcare services.
A telemedicine robot's microphone and speakers are essential for promoting communication between patients and medical professionals. When a user speaks queries or answers, the microphone records their auditory input and transforms them into electrical signals that the robot's system can process. This enables the robot to converse during telemedicine sessions or comprehend and react to voice commands. The speakers, on the other hand, output sounds from the robot, providing spoken instructions, feedback, or communication with healthcare personnel. They let the user to hear crisp audio output by converting electrical impulses back into sound waves. The speakers and microphone work together to provide smooth, interactive communication that improves the user experience by enabling real-time discussion and direction. This is particularly crucial in rural or distant areas where there may be restricted access to medical specialists.
A telemedicine robot's camera is necessary to record visual data and facilitate remote consultations. During telemedicine sessions, it records video and takes still photos, which are subsequently processed and sent to medical professionals. Typically, a lens and an image sensor are used by the camera to collect light and transform it into digital data. After processing, this data is used to provide precise and comprehensive visual representations of the user that can be utilized for monitoring, diagnostic imaging, and real-time video chats. The webcam in telemedicine enables face-to-face communication between the patient and a doctor who is located remotely, leading to more precise examinations and consultations. It also aids in recording ailments or symptoms that could be difficult to put into words. The camera's capacity to transmit visual data closes the communication gap between patients and medical providers, improving the overall efficacy of remote healthcare services.
A telemedicine robot's Bluetooth module enables short-range wireless communication between the robot and other gadgets, including adjacent medical equipment or smartphones or tablets. It functions by exchanging data across a restricted range, usually up to 100 meters, depending on the parameters of the module and the surrounding circumstances, utilizing radio waves. The module enables data to be wirelessly sent between the robot and other devices, including test results and diagnostic information. Features like remote robot control and data synchronization with mobile health applications are made possible by this functionality, which facilitates smooth interaction with other healthcare equipment or systems. The Bluetooth module can also be used to pair with external peripherals like wireless keyboards and monitor one's own health using patient devices. In a telemedicine context, the Bluetooth module increases the robot's usability and versatility by offering a quick and easy method to manage and send data.
In order to facilitate real-time communication and data transfer, a telemedicine robot's connectivity depends on its Wi-Fi and 4G/5G LTE modules. The robot may access the internet and communicate with cloud services, remote healthcare providers, and other devices inside a network by connecting to local wireless networks through the Wi-Fi module. It integrates seamlessly with home or clinic networks by exploiting radio waves for data transmission and reception inside Wi-Fi frequency bands. However, the robot can function in places where Wi-Fi might not be available thanks to the 4G/5G LTE module, which offers cellular communication. Through its mobile network connectivity, this module provides high-speed internet access, enabling data transfer and telemedicine consultations even in isolated or underdeveloped areas. Together, the two modules guarantee that the robot stays operational and connected via cellular or local networks, enabling consistent and dependable healthcare delivery.
The telemedicine robot's battery pack functions as its main power supply, guaranteeing the device's continued functionality, particularly in situations where there is no direct or inconsistent access to electrical outlets. Usually, the battery pack is made up of several rechargeable cells that store electricity, like lithium-polymer or lithium-ion batteries. The robot's sensors, display, and communication modules are among its many components, all of which are powered by this stored energy. A power management system controls voltage and current in the battery pack to avoid overcharging and guarantee effective energy consumption. Additionally, it has circuitry for charging batteries when they run low. Robust battery packs guarantee extended operating duration in situations when the robot works in remote or rural regions. This means that services like medical testing, data transmission, and telemedicine consultations can be used continuously without being interrupted by power outages.
In order to maintain stable and effective operation, the power management circuit of a telemedicine robot is in charge of controlling and allocating electrical power to the various parts of the apparatus. By regulating voltage levels and current flow to suit the unique requirements of various components, including sensors, displays, and communication modules, it controls the power from the battery pack. This circuit has features like protection systems to stop problems like overcharging, overheating, or short circuits, and voltage regulators to adjust the incoming power to deliver the right voltage for each section of the robot. Furthermore, by managing the robot's energy consumption during idle periods and power-saving modes, the power management circuit can optimize battery usage. In environments with limited or fluctuating power supplies, the power management circuit is essential for preserving the robot's dependability and prolonging its operational life. It does this by making sure that all components receive the proper power and shielding the system from potential electrical problems.
To guarantee hygienic operation, a telemedicine robot's UV-C light module is utilized to sanitize and disinfect the robot's surfaces and medical instruments. UV-C radiation is very powerful at killing bacteria, viruses, and other microbes by causing damage to their DNA or RNA. It functions at a wavelength of about 254 nanometers. When the UV-C light module is turned on, it releases ultraviolet light that breaks through pathogens' cell walls and stops them from reproducing. Usually, the robot's system incorporates this module so that it will turn on automatically after medical examinations or when the device is not in use. In order to minimize the possibility of cross-contamination and guarantee that the robot is hygienic and secure for use in the future, the UV-C light module aids in maintaining a sterile environment. The robot's capacity to deliver dependable and hygienic healthcare services is improved by the integration of UV-C technology, particularly in environments where upholding strict standards of cleanliness is essential.
A telemedicine robot's spray nozzle system is intended to improve cleaning and disinfection by saturating different surfaces and parts with liquid sanitizers or disinfectants. A fine mist of disinfection solution is sprayed over the robot's surfaces, including compartments, sensors, and other parts that come into touch with patients, using a set of nozzles that make up the standard system. The robot's power management system regulates the nozzles, which can be set to activate automatically following each use or medical test. By evenly coating all exposed surfaces with disinfection, the spray nozzle system successfully gets rid of germs and pathogens. This automated sanitization procedure ensures that the robot stays safe and clean for use in the future while lowering the possibility of cross-contamination and helping to maintain a high standard of hygiene. The robot's overall functionality and dependability in providing healthcare services are enhanced by the addition of a spray nozzle system, particularly in settings where hygienic conditions are critical.
The proximity sensors in a telemedicine robot use several technologies, such infrared, ultrasonic, or capacitive sensing, to determine if an object or person is present or absent without making physical touch. These sensors function by generating a signal-such as infrared light or ultrasonic sound waves-and then detecting the signal's reflection or return from objects in the immediate vicinity. The reflected signal changes to indicate the presence of an impediment or user when an object or person enters the sensor's detection range. Proximity sensors are used in telemedicine robots to automate interactions, including opening compartments as a user approaches or making sure the robot stays a safe distance away from obstacles while moving. Additionally, they can assist in determining the presence of users, allowing the robot to initiate certain tasks or notify users as necessary. Proximity sensors improve the robot's usability, safety, and operational efficiency by offering non-contact detecting capabilities.
A telemedicine robot's robot chassis acts as its structural structure and base, giving all of its internal components the stability and housing they require. Usually made of sturdy materials like metal or high-strength plastic, it is built to endure mechanical loads and guarantee the longevity of the robot. For safely fastening and arranging different components, such the sensors, batteries, display, and communication modules, the chassis incorporates mounting holes and compartments. Additionally, it has mobility-enhancing design elements like wheels or tracks that let the robot move and explore its surroundings as needed. The robot's chassis keeps it stable and oriented correctly when it operates in stationary situations. The chassis supports the robot's operation and adds to its overall effectiveness and dependability in providing telemedicine services by offering a sturdy and well-organized construction.
Cellular communication is made possible by the GSM module in telemedicine robots, which allows data, phone calls, and SMS to be sent and received over mobile networks. This ensures connectivity even in places without Wi-Fi. It enables dependable communication in remote areas by enabling the robot to send vital health information or emergency alerts to selected contacts or healthcare professionals. By obtaining signals from satellites and using that information to determine the robot's exact geographic position, the GPS module offers real-time location tracking. This enables location-based services and precise navigation, guaranteeing the robot arrives at its destination. The GPS module can communicate the patient's coordinates to emergency medical personnel in an emergency, guaranteeing prompt aid. When combined, these components guarantee reliable location monitoring and constant connectivity-two necessities for efficient telemedicine services.
A telemedicine robot's printer slot is made to give patients and medical professionals hard copies of test results, prescriptions, and medical reports. A small printer is housed within the slot. It prints digital data, including diagnostic results or consultation summaries, that is received from the robot's system. The printer usually prints papers on paper with clarity and accuracy using thermal or inkjet technology. When printing is finished, the material is conveniently available to the user as it is ejected through the printer slot. By providing patients with a physical copy of their medical records, this feature improves the functioning of the telemedicine robot and can be helpful for record-keeping, sharing with other healthcare providers, or quick reference. Not having to rely solely on digital formats, the printer slot guarantees that users obtain the necessary documentation-especially in places where access to digital devices or the internet may be restricted.
, Claims:CLAIMS
WE CLAIM,
1. A telemedicine robot system able to achieve distant health care, comprising:
a microcontroller unit that is set up to coordinate data from several sensors, regulate communication between hardware and software components, and control the robot's actions;
Multiple health monitoring sensors, including:
An ECG sensor for monitoring heart activity;
A blood pressure sensor for measuring blood pressure levels;
A pulse oximeter sensor for determining blood oxygen saturation;
Load cells for measuring body weight; and,
An ultrasonic sensor for assessing height;
A blood test module, integrated within the robot for performing on-site diagnostic tests and analysis;
A touchscreen display, enabling user interaction and real-time feedback from healthcare providers;
Audio components, including a microphone and speakers, for two-way c ommunication between the user and healthcare practitioners,
Connectivity modules, including Wi-Fi and 4G/5G LTE, to facilitate real-time data transmission and remote consultations;
A power management circuit and battery pack, configured to control energy consumption and supply power to all components of the robot;
A UV-C light module and spray nozzle system, for sanitizing the robot's components to ensure hygiene and prevent contamination;
Proximity sensors, integrated for safe user interaction and obstacle detection;
A GPS module, configured for location tracking and navigation;
A GSM module, designed to send SMS alerts to emergency contacts or healthcare providers in case of critical health events; and,
A robot chassis, providing structural support and housing all integrated components.
2. The AI- telemedicine kiosk robot of as claimed in claim 1, wherein the system for monitoring cardiac activity comprises an ECG sensor, a blood pressure sensor and a pulse oximeter sensor to monitor blood pressure and oxygen saturation levels wherein sensor data is processed in real time by microcontroller for health monitoring.
3. The AI- telemedicine kiosk robot of as claimed in claim 1, wherein the measurement relating to height is performed by load cells and the measurement relating to weight is performed by ultrasonic sensors, and computes automatically the patient's Body Mass Index (BMI).
4. The AI- telemedicine kiosk robot of as claimed in claim 1, includes an onboard blood test kit on the body of the robot with the capability to perform self-diagnostic tests wherein the results are to be transmitted to health care providers over a network.
5. The AI- telemedicine kiosk robot of as claimed in claim 1, including further features with touchscreen display for user interface and speaker and microphone system with capability for real-time audio communication to healthcare providers for telemedicine consultation.
6. The AI- telemedicine kiosk robot of as claimed in claim 1, said modules of further wireless connectivity in the form of Wi-Fi and 4G/5G LTE for establishing real time data transmission as well as to provide remote access of diagnostic capabilities of robot to healthcare providers.
7. The AI- telemedicine kiosk robot of as claimed in claim 1, wherein said power management circuit and a battery pack with said power management circuit controls energy consumption such that the robot can have extended, interruption-free operation in power-starved environments.
8. The AI- telemedicine kiosk robot of as claimed in claim 1, further comprising a UV-C light module and spray nozzle system to sanitize parts of the robot and other ambient surfaces thereby contamination from one user getting transferred to the other.
9. The AI- telemedicine kiosk robot of as claimed in claim 1, wherein said ancillary feature comprises:
a GPS module adapted for determining the whereabouts of the robot; and a GSM module configured for sending emergency SMS notices to specially selected contacts when critical health alerts are triggered, or if/when an emergency situation occurs.
10. The AI- telemedicine kiosk robot of as claimed in claim 1, operated with proximity sensors interacting with the user and which in changing positioning and collision avoidance while performing the tasks of health care delivery.

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