Smart System and Method for Monitoring and Control of Neonatal Incubator for Neonatal Health Monitoring System

Abstract

ABSTRACT SMART SYSTEM AND METHOD FOR MONITORING AND CONTROL OF NEONATAL INCUBATOR FOR NEONATAL HEALTH MONITORING SYSTEM The present invention is an IoT-based neonatal monitoring system designed to track essential health parameters of a baby in an incubator. Key sensors include a temperature and humidity sensor (DHT11), a pulse rate sensor, a gas sensor, and a light sensor. These sensors collect real-time data on environmental and physiological conditions, which are processed by an Arduino UNO microcontroller. The system is powered by an external power supply and displays information on a Liquid Crystal Display (LCD) for immediate local monitoring. Post-neonatal care for premature infants requires close monitoring, as they are at risk of conditions such as sleep apnea and SIDS. Although doctors discharge these infants with a stable health status, they still need specialized care and observation at home during the first few months. A specially designed homecare device can offer 24/7 health monitoring and nursing support to ensure their well-being.s.

Specification

Description:Smart System and Method for Monitoring and Control of Neonatal Incubator for Neonatal Health Monitoring System
TECHNICAL FIELD OF THE INVENTION
[0001] The present disclosure relates to a low cost yet effective apparatus for monitoring the important parameters like pulse rate, temperature, humidity, gas and light of the premature baby inside an incubator.
BACKGROUND OF THE INVENTION
[0002] Background description includes information that may be useful in understanding the present invention. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed invention, or that any publication specifically or implicitly referenced is prior art.
[0003] The care of newborns is a critical and delicate area within the biomedical field. Some newborns face a higher risk of mortality due to factors like their gestational age or birth weight. Many premature infants, born between 32 and 37 weeks of gestation, pass away because they lack adequate warmth.
[0004] A neonatal incubator is a device designed to support the nourishment of premature infants by creating a controlled, enclosed environment. It maintains optimal temperature, humidity, light, and oxygen levels similar to those in the womb. However, improper monitoring of these incubators can lead to risks for the babies, including accidents like gas leaks and short circuits from overheating, which may cause the incubators to burst. Continuous monitoring and uninterrupted access to physiological data are crucial for the safety and care of these infants. Mobile devices offer a versatile solution for surveillance and data transmission without environmental limitations.
[0005] Recent technological advancements have significantly boosted the medical industry, contributing to a reduction in premature infant mortality rates. This progress is largely due to the use of incubators in treating premature newborns. Although incubators are crucial for these infants' survival, they demand ongoing interaction between caregivers and the equipment due to their specific environmental and operational requirements.
[0006] With the Internet of Things (IoT), healthcare professionals and technologists are working to integrate various environments to create robust monitoring systems. Connecting devices to the internet through standardized protocols and appropriate architectural adjustments enables continuous, unobtrusive health monitoring anywhere, anytime. The below mentioned cases discuss various monitoring systems for neonatal and adult care.
[0007] C. Wei et al. developed a smart jacket equipped with sensors, a BlueSMiRF module, and an Arduino Pro Mini to enable wireless data transmission within a 20-meter range. Designed for non-invasive monitoring of fragile infants, this system supports remote care. C. Oriana et al. introduced a clinical prototype for premature infants, which records and monitors ECG, temperature, and respiratory activity. This system consists of a sensitive belt for chest dilation monitoring and external transducers for temperature and respiratory tracking, transmitting data via Bluetooth to a PC with specialized software for real-time data management. The device aims to support improved neurological outcomes, accurate data handling, and reduced stress for infants.
[0008] S. Victor et al. explored sensor technology in combination with RF technology and the CodeBlue software, which is a query-based system validated through experiments with sensors like MicaZ, Telos motes, motion detectors, EKG, and pulse oximeters. This system uses a publish/subscribe routing substrate to operate a 30-node sensor network, testing its scalability, robustness, and reliability in managing multiple queries, high data rates, and sensory data transmission. Future work focuses on maintaining alarm prioritization in scenarios with multiple monitored patients.
[0009] E. Gronvall et al. discussed assembling a heterogeneous platform before introducing IoT, emphasizing end-user customization and control. The system integrates diverse devices, services, and processes, enhancing monitoring flexibility for NICUs by allowing for a more adaptable and user-friendly environment.
[0010] A. Fabiola developed a respiratory belt to study the correlation between belt expansion and the voltage generated, simulating results using MATLAB. The design of the PR2012 respiratory sensor, including its physical dimensions and displacement characteristics, is also discussed, with sensor testing results provided in analytical form.
[0011] O.M. Sumanthi et al. focused on wireless transmission technology for infants in NICUs, where traditional wired systems with adhesive electrodes hinder care for fragile patients. To address this, they developed a ZigBee-based wireless sensor system using Arduino and the ATMEGA 328P microcontroller, which enhances data quality and care in medical settings.
[0012] Hadi et al. explored data mining in wearable sensor technology, emphasizing the need for specialized algorithms to analyze data for tasks such as prediction, anomaly detection, and decision-making in diagnoses and alerting systems. Techniques like support vector machines, wavelet analysis, decision trees, Gaussian mixtures, and Markov models are employed for anomaly detection, which is crucial for identifying irregular patterns in ECG, SpO2, and blood glucose, helping detect stress levels and sleep disorders. Immediate responses to life-saving alarms and continuous data patterns are valuable for long-term treatment decisions, while context-aware medication can be tailored based on these predictive data patterns.
[0013] Nangalia V. et al. discussed a telemonitoring system composed of five key components: data acquisition, data transmission, integration with other patient data, synthesis of responses or escalation in patient care, decision support, and data storage. They noted that telemonitoring's adoption remains limited due to challenges such as incomplete sensor ranges, short battery life, limited bandwidth and network coverage, and high data transmission costs.
[0014] Ramezani T. et al. emphasized the importance of family-centered care for premature or early-born infants. Annually, 400,000 American families experience premature births, where hospitalization can delay parent-infant bonding. Developing care plans based on neonatal behavior patterns can reduce anxiety and support attachment by minimizing isolation from family.
[0015] These are few examples focusing on various dimensions of health monitoring systems. Monitoring systems are playing a vital role as lifesaving and alert system, doctors and care givers can plan precautionary measure with present status of data.
OBJECTS OF THE INVENTION
[0016] The primary object of the invention is to provide Smart System and Method for Monitoring and Control of Neonatal Incubator for Neonatal Health Monitoring System.
[0017] Additionally, the invention aims to describe an IoT-enabled neonatal monitoring system for infants in incubators, integrating various sensors to monitor key environmental and physiological parameters such as temperature, humidity, pulse rate, gas levels, and light intensity.
[0018] The system aims to provide real-time monitoring and alert capabilities by processing sensor data.
SUMMARY OF THE INVENTION
[0019] The present invention relates to an IoT-based neonatal monitoring system designed to track essential health parameters of a baby in an incubator. Key sensors include a temperature and humidity sensor (DHT11), a pulse rate sensor, a gas sensor, and a light sensor. These sensors collect real-time data on environmental and physiological conditions, which are processed by an Arduino UNO microcontroller. The system is powered by an external power supply and displays information on a Liquid Crystal Display (LCD) for immediate local monitoring. Additionally, the IoT module (ESP8266) enables wireless data transmission to the ThinkSpeak Cloud, allowing continuous remote monitoring. The collected data can be accessed via wireless devices, enhancing neonatal care through real-time, cloud-based monitoring. This system aims to improve neonatal safety and care quality by providing caregivers with reliable, up-to-date information on the infant's condition and environment.
[0020] The system is a monitoring solution for infants that provides real-time alerts to parents about important health parameters like pulse rate and body temperature, specifically focusing on Sudden Infant Death Syndrome (SIDS) prevention. The idea is to use sensors and microcontrollers to gather data continuously, sending alerts to the parent's mobile device without interrupting the natural growth and routine of the infant. The system comprises;
1. Sensors and Microcontrollers:
o Pulse rate sensor: Measures the infant's heart rate.
o Body temperature sensor: Tracks the infant's temperature, which is crucial for identifying fever or hypothermia.
o Breathing sensor (optional): Monitors infant's breathing patterns, especially for signs of apnea, a key concern related to SIDS.
2. Real-time Data Transmission Unit:
o The sensors are connected to a microcontroller (e.g., Arduino or Raspberry Pi), which continuously captures data.
o The data is transmitted wirelessly (using Wi-Fi, Bluetooth, or cellular network) to a mobile app or dashboard, accessible by parents.
3. Alert Unit:
o The system sends alerts to the parents' phones if any of the parameters (pulse, temperature, or breathing) move out of the safe range.
o Alert types: Could include push notifications, SMS, or even emergency calls if the parameters indicate a critical situation.
4. Non-Intrusive Monitoring:
o The system should be designed to avoid interfering with the baby's sleep or environment. For example, sensors can be embedded in a baby mattress or worn as a comfortable wearable (e.g., a smart baby onesie or band).
5. User Interface:
o A mobile app could allow parents to:
 View the real-time health data of the baby.
 Set up customizable alert thresholds.
 Review historical data trends (e.g., daily temperature and pulse rate patterns).
6. Applications for Caregivers:
o Parents can still monitor their baby even if they are not physically present, such as when the baby is with a nanny, caregiver, or at daycare.
o This helps working parents have peace of mind and take precautionary actions before needing to contact medical professionals.
This system offers a preventative health solution, helping parents stay informed and responsive to the infant's well-being while minimizing the disturbance to the baby's routine or development.
[0021] Further the invention discloses the operation of an IoT-based neonatal monitoring system. The process begins with the system sensing values from multiple sensors, including pulse rate, temperature and humidity, gas, and light sensors. These values are then displayed on an LCD screen for local monitoring. Next, the system checks whether the sensed values are within predefined threshold limits. If all values are within normal ranges, the system continues monitoring without any additional actions. However, if any values exceed the threshold (indicating an abnormal condition), a warning message is sent to a connected wireless device to alert caregivers. This looped process ensures continuous monitoring and immediate notification of any critical changes in the infant's environment or vital signs.
BRIEF DESCRIPTION OF THE DRAWINGS
[0022] The accompanying flow chart includes to provide a further understanding of the present disclosure and are incorporated in and constitute a part of this specification. The drawings illustrate an exemplary block diagram of the present method of disclosure and, together with the description, serve to explain the principles of the present disclosure.
[0023] Fig.1 illustrates an exemplary system for Neonatal Monitoring System on the basis of functional requirements.
[0024] Fig.2 illustrates an exemplary representation of Flow Chart for the operation of an IoT-based neonatal monitoring system.
[0025] Fig.3 illustrates an exemplary Smart DEI Model for Neonatal Health monitoring system.
[0026] Fig.4 illustrates an exemplary conceptual design for Neonatal Monitoring and controlling System on the basis of functional requirements.
DETAILED DESCRIPTION
[0027] Internet of Things bringing innovative ways changes in the system architecture and service-based systems. This present invention endeavours the new practices in neonatal care to prevent the sudden infant death syndrome (SIDS) which is also known as cot death or crib death is sudden unexplained death of a child less than the age of 180 days (i.e., 2-4 months) of age usually occurs during sleep. The gateway for data acquisition through temperature sensors and pulse oximeter (or respiratory) sensors with IoT can avoid such accidental deaths. As most of the time the baby in normal health condition and at home it is under parental care, hence to monitor the baby at home, IoT could provide the best and cheapest solution.
[0028] The Fig. 1 illustrates a monitoring system designed for infants, specifically those in incubators, leveraging Internet of Things (IoT) technology. Here's a breakdown of each component and its role in the system:
[0029] Sensors: Temperature and Humidity Sensor (DHT11): This sensor monitors the environmental temperature and humidity around the infant, ensuring the incubator conditions remain safe and stable.
Pulse Rate Sensor: Measures the infant's pulse rate, a critical vital sign for detecting any early signs of distress.
Gas Sensor: Detects the presence of harmful gases that could be dangerous for the infant. This is important for maintaining air quality in the incubator.
Light Sensor: Monitors the ambient light level around the infant, ensuring the light conditions are suitable and not overly bright.
[0030] Arduino UNO: The Arduino UNO microcontroller serves as the central processing unit, receiving data from the sensors and managing communication with other components.
[0031] Power Supply: Supplies power to the Arduino UNO and all connected sensors, ensuring uninterrupted operation.
[0032] Liquid Crystal Display (LCD): The LCD displays real-time readings from the sensors, allowing caregivers to check the infant's vital signs and environmental conditions at a glance.
[0033] IoT Module (ESP8266): The ESP8266 module enables wireless communication, connecting the Arduino UNO to the internet. This module sends data to a cloud platform for remote monitoring.
[0034] ThinkSpeak Cloud: ThinkSpeak is a cloud platform where sensor data is stored and visualized. It enables remote access to data, allowing caregivers and healthcare professionals to monitor the infant's condition from any location with internet access.
[0035] Wireless Device: The wireless device (such as a smartphone, tablet, or computer) is used to access the ThinkSpeak cloud, allowing caregivers to view data and receive alerts about the infant's health and environmental conditions.
[0036] This system continuously monitors the infant's vital signs and the incubator's environment, displaying real-time data on an LCD and uploading it to the cloud for remote access. It enables caregivers and healthcare providers to keep track of the infant's health and receive notifications if any readings fall outside safe limits. This design combines ease of monitoring with robust, remote accessibility to enhance infant safety in an incubator setting.
[0037] In an additional embodiment Fig. 2 illustrates the process of monitoring and controlling an infant incubator system, showing how sensor data is processed, displayed, and used for alerting and environmental control. Here's a step-by-step explanation;
a. The process begins with the system initiating sensor readings.
b. Sensors collect values for pulse rate, temperature, humidity, gas, and sound levels around the infant. These parameters are critical for monitoring both the infant's health and the incubator's environmental conditions.
c. The collected sensor data is displayed on an LED screen, allowing caregivers to view real-time values directly on the incubator.
d. The system continuously reads sensor data, updating the values on the display and the monitor screen.
e. The system evaluates the sensor readings to check if they exceed predefined safe thresholds for each parameter (pulse rate, temperature, humidity, etc.).
f. If all values are within safe ranges, the system remains in a normal state and continues monitoring.
g. If any parameter exceeds or falls below the safe threshold, the system identifies this as an abnormal condition.
h. In cases where the temperature or humidity values are abnormal, the system automatically adjusts the incubator environment to bring the values back to safe levels (e.g., by activating the heater or humidifier).
i. If the adjustments successfully normalize conditions, the system returns to a normal state and continues monitoring.
j. If the abnormal values persist or if a critical parameter (such as pulse rate) remains outside safe limits, the system sends a warning message or emergency alert.
k. This alert could be sent to caregivers or healthcare providers via an SMS, email, or through the connected monitor screen, depending on the system's communication setup.
l. The process continues in a loop, repeatedly checking for threshold values and making adjustments as needed. The system only ends if it is manually stopped.
[0038] In an additional embodiment Fig. 3 illustrates Smart DEI Model for Neonatal Health monitoring system, where the DEI Components like smart device, environment and interactions can provide the best model for monitoring system. Other than these there are six modelling option can be compared for the context modelling such as key-value, mark-up schemes, graphical, object based, logic based, and ontology-based modelling.
[0039] The base technology supporting neonatal monitoring system may be any with the latest trends of wireless communication i.e., 3G and beyond, Wi-Fi mesh and WiMAX is coming under the large-scale wireless network and mobile computing solution. For data transmission in different context many solutions with pervasive computing are available like RFID, Bluetooth, ZigBee and WSN. WiMAX has different deployment domain, with high data rate of 70Mbps and security over long distance, it is a proven solution of communication with IEEE 802.16 standards.
[0040] These are the most affordable solutions for Neonatal monitoring. Because of the feature of mobility, tracking of the data from other devices is ease with WPAN. Most important is that it replaces the wires from a room for non-obstructive neonatal monitoring. WBAN is wireless body area network, it is having body integrated devices. These devices are low powered or ultra-low powered, tiny, lightweight physiological sensors or ICs. Real time data integration of these devices with ZigBee and Bluetooth are providing basis for computer assisted rehabilitation. Along with these many other standards and technologies are used with medical applications RFID, 3G, 4G, sensor network etc. Neonatal care monitoring with special customized approach by using optimum services and medications in treatments is possible with the Technology.
[0041] In another embodiment of Fig. 4 shows an advanced infant incubator monitoring and control system that integrates multiple sensors and components to monitor and adjust the incubator's environment and the infant's vital signs. Here's a detailed breakdown of the system components and their functions:
[0042] Sensors: A plurality of sensors are arranges in the incubatory to monitor the position and condition of infant and based on the monitored value take appropriate decision or inform care givers, doctors or parents as per the requirements.
[0043] Sound Sensor: Detects sounds around the infant, potentially alerting caregivers to distress sounds or crying.
[0044] MQ2 Sensor: A gas sensor that detects gases like carbon monoxide or smoke, helping to ensure air quality around the infant.
[0045] Heartbeat Sensor: Monitors the infant's heartbeat, providing critical information on their heart rate and helping to detect any abnormalities.
[0046] DHT11 Sensor (Humidity & Temperature): Measures the humidity and temperature in the incubator, ensuring that environmental conditions are within a safe range.
[0047] Accelerometer: Detects movement or changes in position, which can help monitor the infant's activity level or any sudden movements.
[0048] Arduino UNO + WiFi R3: Acts as the central processing unit, receiving data from all sensors and controlling other components.
[0049] The WiFi capability allows the system to connect to the internet for remote monitoring and control.
[0050] LCD Display: Shows real-time data from the sensors, allowing on-site caregivers to monitor the infant's condition and environmental parameters at a glance.
[0051] Humidifier: Adjusts humidity levels in the incubator based on sensor data, ensuring optimal conditions for the infant.
[0052] Heater (Peltier Module): Controls the temperature in the incubator to maintain a stable, warm environment.
[0053] GSM Module (SIM800L): Enables communication through cellular networks, allowing the system to send alerts or updates via SMS to caregivers when certain thresholds are exceeded or in case of emergencies.
[0054] IoT Interface: Connects the system to the internet, enabling remote monitoring and control through a cloud platform or connected devices.
[0055] PC/Monitor: Displays sensor data and system status on a PC or monitor, providing a more comprehensive view for remote or on-site caregivers.
KEY FEATURES OF INCUBATOR FOR NEONATAL HEALTH MONITORING SYSTEM
[0056] The present invention is a monitoring solution for infants that provides real-time alerts to parents about important health parameters like pulse rate and body temperature, specifically focusing on sudden infant death syndrome (SIDS) prevention
1. Identify Requirements of Sensors
Objective: Determine which physiological parameters (like heart rate, breathing rate, temperature, and movement) are essential for early detection of SIDS.
Sensors: Identify reliable, accurate, and safe sensors that can measure these parameters for infants, possibly including heart rate monitors, respiration sensors, temperature sensors, and motion sensors.
Requirements: Define technical requirements like sampling rate, accuracy, battery life, and infant safety standards.
2. Choose Suitable Algorithm for Data Retrieval and Simulate It
Algorithm Selection: Based on the types of data collected, choose algorithms for data processing, filtering, and feature extraction.
Simulation: Use software (e.g., MATLAB, Python, or a dedicated simulation environment) to simulate data retrieval, preprocessing, and possibly initial classification to detect abnormal patterns.
3. Parsing and Visualization of Collected Data
Parsing: Develop a method to clean and parse the raw data into a structured format suitable for analysis.
Visualization: Create graphs and charts for real-time monitoring and historical trends (e.g., heart rate over time), which could be built using tools like Python's Matplotlib, Plotly, or D3.js.
4. Provide Remote Accessibility and Alerts for Critical Events
Remote Accessibility: Design a cloud-based or web-based platform for caregivers or healthcare providers to access the data.
Alerts: Implement an alert system that triggers notifications or alarms in case of abnormal readings, using technologies like SMS, email, or mobile app notifications.
5. Conceptually Design an Architecture for a Robust, Scalable Monitoring System
Architecture Design: Conceptualize a scalable system that integrates the sensor network, processing algorithms, data storage, and front-end interfaces. Consider cloud infrastructure (AWS, Azure) and database solutions (SQL, NoSQL) for scalability.
Data Flow: Outline the data flow from sensor collection through processing and storage to visualization and alerting.
ADVANTAGES OF INCUBATOR FOR NEONATAL HEALTH MONITORING SYSTEM
The proposed monitoring system for sudden infant death syndrome (SIDS) has several potential advantages:
[0057] Early Detection of Critical Events
• Continuous monitoring of vital signs such as heart rate, respiration, and temperature can detect early warning signs of abnormal patterns or distress.
• Real-time data allows for prompt intervention, which could be lifesaving.
[0058] Increased Parental Peace of Mind
• Parents and caregivers can monitor the infant's health remotely, reducing anxiety and providing reassurance, especially during sleep.
• Remote alerts mean they can respond quickly to any abnormal readings without having to be physically present at all times.
[0059] Data-Driven Health Insights
• Long-term data collection can help reveal patterns or trends in an infant's health over time, which could aid in preventive care and better understanding of an individual infant's health profile.
• Data analytics can also provide healthcare professionals with more information to make informed decisions if health issues arise.
[0060] Remote Accessibility and Alerts
• The remote access feature allows caregivers and healthcare providers to view health data from anywhere with internet access, offering flexibility and convenience.
• Automated alerts for critical conditions enable immediate response to emergencies, even if the caregiver is not nearby.
[0061] Scalability and Flexibility of the Architecture
• The system can be designed to scale, accommodating multiple infants or expanding the infrastructure to support additional sensors or future technology updates.
• Modular design enables integration with other health monitoring systems and upgrades to the latest algorithms or sensors without significant system overhauls.
[0062] Improved Data Visualization
• Clear visualizations (graphs, charts, and trends) make it easier for non-experts to understand and interpret health data.
• These visual tools can help both parents and healthcare providers recognize potential issues quickly.
[0063] Enhanced Research Capabilities
• Aggregated data from such systems could provide valuable insights into SIDS risk factors, potentially advancing research in the area.
• Large datasets could help researchers and healthcare professionals develop predictive models to improve SIDS prevention and treatment.
[0064] Support for Personalized Health Monitoring
• The system can adapt to individual infants' health patterns, providing personalized monitoring and minimizing false alarms by identifying what's normal for a specific infant.
[0065] Overall, this system aims to combine effective, real-time monitoring with user-friendly access and alerts, which could contribute to both infant safety and parental reassurance.
, Claims:I/We Claim:
1. A real-time infant incubator monitoring and control system comprising:
a. A plurality of sensors configured to detect vital signs and environmental parameters, including but not limited to a pulse rate sensor, temperature and humidity sensor, gas sensor, sound sensor, and accelerometer.
b. A microcontroller unit (MCU) operatively connected to said sensors, configured to receive, process, and display sensor data on an LED display for real-time observation of the infant's condition.
c. A control mechanism, comprising a humidifier and heater, operatively connected to the microcontroller, configured to automatically regulate the environmental conditions within the incubator based on sensor readings to maintain optimal temperature and humidity.
d. An alert system comprising a GSM module and IoT interface, configured to send warning messages or emergency alerts to caregivers or healthcare providers in response to detected abnormal conditions.
e. A remote monitoring capability through an IoT cloud platform and wireless device interface, allowing caregivers and healthcare providers to monitor the infant's vital signs and incubator conditions from a remote location.
2. The system as claimed in claim 1, wherein the microcontroller continuously checks sensor readings against predefined threshold values and initiates corrective actions through the control mechanism when abnormal readings are detected.
3. The system as claimed in claim 1, wherein the GSM module and IoT interface are configured to provide notifications to remote devices in the form of SMS, email, or through an internet-connected monitoring platform, allowing for rapid response in case of emergency conditions.
4. The system as claimed in claim 1, wherein the IoT interface is configured to upload real-time data to a cloud platform, enabling historical data storage, trend analysis, and remote accessibility to caregivers and healthcare providers.
5. The system as claimed in claim 1, further comprising an accelerometer to detect and alert in case of abnormal movements, aiding in monitoring the infant's physical activity and movement patterns.
6. A method for real-time monitoring and control of an infant incubator, comprising the steps of:
a. Sensing vital signs and environmental parameters in the incubator, including pulse rate, temperature, humidity, gas levels, sound levels, and movement, using a plurality of sensors;
b. Transmitting the sensed values to a microcontroller for processing and displaying the data on an LED display for real-time observation;
c. Continuously comparing the sensed values against predefined threshold values to determine whether the parameters are within safe limits;
d. Automatically adjusting the incubator's environmental conditions by controlling a humidifier and heater if the temperature or humidity values deviate from the predefined safe limits;
e. Sending an alert notification via a GSM module and IoT interface if any of the sensed values remain abnormal after automatic adjustments or if a critical parameter, such as pulse rate, exceeds a threshold value;
f. Uploading real-time sensor data to a cloud platform via an IoT interface, enabling remote monitoring and data storage for historical analysis;
g. Allowing caregivers and healthcare providers to access the uploaded data remotely through a wireless device to monitor the infant's condition.
7. The method for real-time monitoring and control of an infant incubator as claimed in claim 1, wherein the step of continuously comparing sensed values includes triggering an alert notification immediately if abnormal movements are detected by an accelerometer sensor.
8. The method for real-time monitoring and control of an infant incubator as claimed in claim 1, wherein the alert notification includes sending messages via SMS, email, or through an internet-connected monitoring platform to notify caregivers or healthcare providers of emergency conditions.
9. The method for real-time monitoring and control of an infant incubator as claimed in claim 1, wherein the step of uploading data to the cloud platform allows for data analysis to detect trends in the infant's health metrics, enabling proactive healthcare management.

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