• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.12 no.9
• /
• pp.1675-1681
• /
• 2008

Sudden infant death syndrome (SIDS) is the leading cause of unexplained death of an apparently healthy infant aged one month to one year. This paper presents an infant monitoring system which detects the movement of infants to prevent SIDS. The proposed system is composed of a movement tenting part and a motion detecting part. The movement sensing part uses a tri-axis accelerometer. The motion detecting part is based on the LVQ algorithm. The proposed monitoring system connects to an alarm for alerting a parent when an infant is in a predetermined position. We evaluated the performance of the monitoring system through experiments.

• Journal of the Institute of Convergence Signal Processing
• /
• v.7 no.1
• /
• pp.33-37
• /
• 2006

In this paper, we present a centralized monitoring system for infant incubator using Bluetooth. Conventional monitoring systems for incubators require large space and wire connection, which causes the spatial restrictions. To overcome this disadvantage, centralized monitoring system is proposed for infant incubators using Bluetooth. The implemented system consists mainly of transmission systems and receiver systems. There are temperature sensors, humidity sensors, ECG measurement units and Bluetooth modules in the transmission systems. For temperature, humidity and ECG data, the transmission systems acquire them from the measuring modules in the incubator and transmits the signals using Bluetooth. In the receiver system, users can see the status of the infant by accessing the central monitoring host computer. That is, one can monitor the information on the temperature and the humidity in the incubator and Infant's ECG without dependence to a conventional bulky system. Also, the system manager in the receiver system can maintain centralized monitoring of the situations in all incubators and infant. The developed system will be useful in remote diagnosis of infant incubator In various environments.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2008.05a
• /
• pp.481-484
• /
• 2008

Sudden infant death syndrome (SIDS) is the leading cause of unexplained death of an apparently healthy infant aged one month to one year. This paper presents a infant monitoring system which detects the movement of infants to prevent SIDS. The proposed system is composed of an movement sensing part and a motion detecting part. The movement sensing part uses a tri-axis accelerometer. The motion detecting part is based on the LVQ algorithm. The proposed monitoring system connects to an alarm for alerting a parent when an infant is in a predetermined position. We evaluated the performance of the monitoring system through experiments.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.16 no.4
• /
• pp.197-202
• /
• 2016

In this paper, a danger signal to tell caregivers when a dangerous situation occurs, the bio-signal analysis in infants to prevent sudden infant death sudden infant death propose a monitoring system. The Sudden infant death (SID) refers to a healthy baby is unexplained deaths between birth year in the month. Sudden infant death proposed monitoring system is composed of a processor unit and the monitoring and alarm part for processing part and the biological signal sensing biological signals. Using the PPG sensor to sense the bio-signal and the processor unit the signal obtained through the sensor by removing the motion artifact was able to alarm and monitoring the parent.The proposed system will send the alarm to monitoring and alerting caregivers if the risk situation by analyzing the heart rate of the infant. With the actual implementation of the system to evaluate the performance of the monitoring system.

• Journal of Biomedical Engineering Research
• /
• v.36 no.2
• /
• pp.48-53
• /
• 2015

Sudden infant death syndrome(SIDS) continues to be general cause of infant death. Also, apnea is supposed to be one of the main risk factor of SIDS. Therefore, Infant's respiratory monitoring and real-time apnea detection is very important to prevent SIDS. In this study, we proposed a non-contact home monitoring system for infant's respiration using Doppler radar in order to prevent SIDS. The respiration data were acquired from a commercialized baby simulator(Simbaby$^{TM}$) using a Doppler radar. To evaluate a performance of the proposed system, the simulator was placed in a supine and prone position and the chest belt was used simultaneously as a reference signal. As a result, correlation coefficients between respiration rates of Doppler radar and the chest belt in each position were 0.95(p < 0.001) and 0.98(p < 0.001), respectively. The averages of difference were $-0.29{\pm}5.21(mean{\pm}1.96{\cdot}$ standard deviation) in supine and $-0.12{\pm}3.05$ in prone from Bland-Altman analysis. The results indicated an excellent performance in detecting apnea with a sensitivity of 100% and a positive predictive value of 100% in each posture respectively. These results demonstrated that a proposed Doppler radar system is suitable for non-contact respiratory monitoring in order to prevent SIDS of infant.

• Journal of Platform Technology
• /
• v.6 no.4
• /
• pp.41-48
• /
• 2018

Accidents involving infants and toddlers are occurring frequently, and if elementary measures are not smooth, they can lead to even greater accidents. Rapid elementary measures require an appropriate monitoring system, and it is necessary to build a system that can accurately monitor the child's living condition and notify the emergency situation immediately. Recently, with the development of IoT technology, various types of sensors are being developed in a very small size, and development of wearable devices connected with smart phones is accelerating with the development of smart phones. By using these wearable devices, it is possible to reduce the risk of infant accidents and to respond promptly in case of an accident. In this paper, we propose a wearable system that can monitor the infant condition and present a service to prevent infant accidents.

• Journal of Biomedical Engineering Research
• /
• v.35 no.6
• /
• pp.177-184
• /
• 2014

Continuous monitoring of heart rates and respiratory rates for newborns or infants is very important since the abnormal breathing and heart problems can threaten the life of newborns or infants. A noncontact baby monitoring system based on a Doppler radar and an air mattress was designed. The Doppler radar was used to acquire respiratory signals and the air mattress was employed to obtain heart rates. The performance of the designed system was evaluated using a commercialized infant simulator ($Simbaby^{TM}$) and a respiration belt transducer was used to measure respiration rates as a reference. Results for respiratory rates revealed that the correlation coefficients between I-and Q-channel and the respiration belt were 0.84 and 0.91 and the mean ${\pm}$ standard deviations of errors between them were $1.66{\pm}1.92$ (bpm) and $0.88{\pm}1.65$ (bpm). Heart rates showed that the correlation coefficient between air mattress and set value of the simulator was 0.73 and the mean ${\pm}$ standard deviation of errors between them was $1.09{\pm}3.45$ (bpm). These results indicate that the designed system holds the potential as an effective monitoring tool for continuous monitoring heart rates and respiratory rates of newborns or infants.

• Korean Journal of Radiology
• /
• v.2 no.4
• /
• pp.239-242
• /
• 2001

Nonketotic hyperglycinemia (NKH) is a rare metabolic brain disease caused by deficient activity of the glycine cleveage system. Localized proton MR spectroscopy (echo-time 166 msec), performed in an infant with the typical clinical and biochemical features of neonatal NKH, showed a markedly increased peak intensity at 3.55 ppm, which was assigned to glycine. Serial proton MR spectrosocpic studies indicated that glycine/choline and glycine/total creatine ratios correlated closely with the patient's clinical course. Proton MR spectroscopy was useful for the non-invasive detection and monitoring of cerebral glycine levels in this infant with NKH.

• Proceedings of the KOSOMBE Conference
• /
• v.1997 no.11
• /
• pp.232-235
• /
• 1997

Apnea refers to episode of apnea (or not breathing) lasting more than 10 seconds that occur while sleeping. These episodes, whitch can occur hundreds of times per night, may transiently awaken resulting in fragmentation of sleep. Although the precise cause of Sudden Infant Death Syndrome(SIDS) are still unclear, there is evidence to suggest that hypoxaemia may be a contributory actor. Transcutaneous oxygen monitor can be used, but it is very difficult to use or baby stayed at home. In this reason, monitors whitch is easy or deal with are reqiured. In 1972, Steinschieder reported that two of the five infants noted to have apnea lasting or more than 20 seconds later died of SIDS episode, he also suggested that home monitoring or neonates should be used or managing apnea at home. Transthoracic electrical impedance technique is used or acquiring respiration waveform and detecting episode of apnea state. Transthoracic electrical impedance measurements have been made from the human trunk over the frequency range 9.6KHz to 614KHz. We conclude that application of impedance technique or detecting apnea state is proper or neonates.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.12
• /
• pp.21-26
• /
• 2019

This paper constructs a real-time monitoring system that can identify the individual positions of infants and their proximity to other infants using an Internet of Things (IoT)-based nameplate. The system consists of a precision location tracking module, a data transmission system for calculating gateway location information, a service platform server, and a data analysis processing module considering the development of infants and young children. The purpose of this study is to extract information about how infants interact with each other. The information gathered through this system can be used as important information to improve the peer relations of all infants and toddlers, from neglected infants to infants with no social development problems, to more popular infants. It is possible, based on the proximity information between infants and toddlers, that the teacher can identify positive interactions or negative interactions, and can educate infants on how to improve their peer relationships. These results can be used for consultation with parents, and the information collected through this system can be used as a database to establish a system for improving the relationships between infants and toddlers.