Arduino Based Infant Monitoring System

Ishak, Daing Noor Farhanah Mohamad; Jamil, Muhammad Mahadi Abdul; Ambar, Radzi

doi:10.1088/1757-899x/226/1/012095

Cited by 20 publications

(3 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There was also an infant warmer developed with an Arduino Uno system, ESP8266 WIFI module, DHT11/DHT22 sensor, and Thingspeak Platform to store the data [47]. Furthermore, the development of an infant warmer used an alarm, SN-Pulse, and Arduino Uno system [48], while Ashish [49] only monitored the incubator temperature with an LM-35 sensor and Raspberry Pi 2+ ESP8266 WIFI module.…”

Section: Discussionmentioning

confidence: 99%

Implementation of IoT of an Electric Infant Warmer to Prevent Hypothermia in Newborns

Fauzi,

Maharesi,

Setiyadi

2023

Journal of Robotics and Control

View full text Add to dashboard Cite

Hypothermia is a drop in body temperature below 36.5°C in newborns. It results in an internal distribution of body heat from the nucleus to the periphery, followed by heat loss greater than metabolic production. Hypothermia is one of the factors predisposing to metabolic disorders, intracranial hemorrhage, respiratory distress, and Necrotizing enterocolitis. Hypothermia problems can be treated with infant warmers. Thus, the need for a infant warmer is considered to improve survival in newborns. This study aims to improve the accuracy of temperature monitoring, increase security, and enable remote monitoring. The temperature sensor of the device is calibrated with comparable devices such as Incubator Analyzer and Thermo hygrometer while the SpO2 sensor is calibrated with Spotlight SpO2 Functional Tester and Thermo hygrometer. Achievement and validation of temperature and oxygen saturation use a calibration comparison tool. The results of the temperature sensor measurements, including air temperature and skin sensor temperature, namely: air temperature error tolerance ≤2°C and skin sensor temperature error tolerance ± 0.5 ° C. All two indicators have the same standard deviation value of ±0.49. The SpO2 indicator reached an error tolerance value of ± 1% O2 with a standard deviation value of ± 0.6-0.9 from six trials. Then the pulse rate indicator obtained an error tolerance of ±5% with a standard deviation value of ±0.6. The smart infant warmer tool provides benefits to avoid excessive heat from the heater and minimize low temperatures that cause hypothermia through the Internet of Things technology. Furthermore, this research can be improved with machine learning technology to increase efficiency and effectiveness in patient treatment.

show abstract

Section: Discussionmentioning

confidence: 99%

Implementation of IoT of an Electric Infant Warmer to Prevent Hypothermia in Newborns

Fauzi,

Maharesi,

Setiyadi

2023

Journal of Robotics and Control

View full text Add to dashboard Cite

show abstract

“…Furthermore, a new method for analysing hand or leg movements' indiferent posture contexts is to be introduced. Ishak et al [25] introduced an improved outlook for the Neonatal Intensive Care Unit (NICU). It focuses on designing a monitoring system that includes an incubator equipped with the required sensors to measure the pulse rate and humidity.…”

Section: Single Scenariomentioning

confidence: 99%

Systematic Review of Sleep Monitoring Systems for Babies: Research Issues, Current Status, and Future Challenges

Khan,

Al-Hamid,

Chong

et al. 2024

Health & Social Care in the Community

View full text Add to dashboard Cite

Recently, baby healthcare monitoring systems have emerged as a key research area. However, numerous research studies have been conducted on babies and their state of either awakening or sleeping. But there is a lack of comprehensive and systematic review in this area of research. The existing research considers mostly the children’s monitoring vital health parameters, in turn, giving relaxation to the parents in caring of their babies. Still, the fundamental practical issues related to daily life are missing. As a result, the safety of babies against suffocation and falling hazards for employed parents or mothers involved in the workforce has been overlooked. Only a few studies exist that cover the age range of 0 months to 4 years, with further focus on the age range of 6 months to 4 years. In response to these gaps in previous research and existing technologies, this review work proposes a vision for a baby safety system that utilizes various sensors and technologies like machine learning and image processing to ensure a safer environment for babies.

show abstract

“…The design of baby incubators whether in the hospital or at home has been explored to sense door security, light intensity and voice of the infant [14] and temperature [15]. Following this, Daing et al [16] proposed and tested an infant incubator system that measured the heart rate of the infant and humidity in the incubator. Both parameters were processed by an Arduino microcontroller and data sent to a personal computer for monitoring.…”

Section: Introductionmentioning

confidence: 99%

Real-time health monitoring system for sick infants– A Capstone project experience

Parikh,

Saw

2020 ASEE North Central Section Conference Proceedings

View full text Add to dashboard Cite

Caring for an infant who is sick can be stressful for the parents who have to monitor the child constantly. Furthermore, the infant is unable to let the adult know what is bothering them. Any signs of discomfort, like crying or inactivity, can be mistaken for something less serious. So there needs to be an objective system to indicate to the parents or caregiver that the condition of the child is critical. This system is useful as an alert for medical attention.With the advancement in wireless and medical sensor technology, home healthcare and remote monitoring of physiological data have gained extreme importance. The major advantage of a real-time infant monitoring system is that it continuously acquires physiological data from the infants and keeps track of their health status without requiring the parents to constantly check on their child. Another added advantage of the system is that the parents will receive an alert if the infant is not well so that they can provide appropriate medical attention, as opposed to the traditional way of finding out that the infant is really sick only when checking on the infant.This report talks about the design of a real-time infant monitoring system which is a capstone design project experience for a graduate student. The system mentioned in this paper uses a microcontroller, several biomedical sensors for sensing vital physiological data from the human body and sending them to a microcontroller such as MSP432 for processing and a wireless module such as ESP8266 that will inform the parents via an email so they can attend to their child immediately. The paper also talks about the experience and challenges the student had while undergoing the project from the brainstorming phase to successful implementation.

show abstract

Arduino Based Infant Monitoring System

Cited by 20 publications

References 5 publications

Implementation of IoT of an Electric Infant Warmer to Prevent Hypothermia in Newborns

Implementation of IoT of an Electric Infant Warmer to Prevent Hypothermia in Newborns

Systematic Review of Sleep Monitoring Systems for Babies: Research Issues, Current Status, and Future Challenges

Real-time health monitoring system for sick infants– A Capstone project experience

Contact Info

Product

Resources

About