A non-invasive and remote infant monitoring system using CO&lt;inf&gt;2&lt;/inf&gt; sensors

Cao, Hung; Hsu, Lun-Chen; Ativanichayaphong, Thermpon; Sin, Jeongsik; Chiao, J.-C.

doi:10.1109/icsens.2007.4388570

Cited by 7 publications

(11 citation statements)

References 9 publications

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“…Noncontact techniques are grouped into two categories: visual and nonvisual. As a nonvisual technique, Cao et al [8] developed a remote infant monitoring system using CO 2 sensors. The main problem with using this type of technique is that they may not work well when users change their sleeping positions, especially to turn their bodies over.…”

Section: Introductionmentioning

confidence: 99%

A Vision-Based Infant Respiratory Frequency Detection System

Fang

Hsieh²,

Chen

2015

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)

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Sudden infant death syndrome (SIDS) is the major cause of death for infants aged one week to twelve months. The SIDS rate has declined owing to the awareness of caregivers and parents, but the rate is still high even in developed countries because of the difficulty in rescuing the infant immediately. Respiration, which can reflect various physiological conditions, is a basic but vital function for infants. Therefore, this study presents a respiration monitoring system with a video camera positioned in front of an infant to non-invasively detect the infant's respiratory frequency. The proposed system can continuously monitor the infant to detect unusual occurrences in the infant's respiration, to alert caregivers to attend to the infant immediately and reduce potential injuries from SIDS and other respiratory-related disease.The proposed system contains four major stages, including motion detection, candidate point extraction, respiration point selection, and respiratory frequency calculation. During motion detection the system captures images from video and decides whether to conduct the following stages. If no obvious motion is detected in the input frames, then SIDS may have occurred in the infant, and the system extracts candidate points by some spatial characteristics. Based on these points, the system then selects respiration points using a fuzzy integral technique with four temporal characteristics, including entropy, period, skewness, and kurtosis. Finally, the infant's respiratory frequency is calculated. Experimental data are obtained from ten infants, in 48 sequences with a total length of 150 minutes. The experimental results show that the proposed system is robust and efficient.Keywords-Home healthcare, vision-based infant monitoring system, vision-based infant respiratory frequency detection system, fuzzy integral.

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Section: Introductionmentioning

confidence: 99%

A Vision-Based Infant Respiratory Frequency Detection System

Fang

Hsieh²,

Chen

2015

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA)

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“…The implementation of crowd sensing makes direct use of simple application, for instance alarm signa where as any human passes by on the sensor [21], ventilation system for indoor air quality based on human occupancy, infant monitoring [12], and The main purpose of crowd sensing systems is to extract information based on the crowd in environment. .…”

Section: Introductionmentioning

confidence: 99%

“…The implementation of crowd sensing makes direct use of simple application, for instance alarm signal where as any human passes by on the sensor [21], ventilation system for indoor air quality based on human occupancy, infant monitoring [12], and surveillance systems based on human behaviour [16]. Other works are focusing on detecting, counting or estimating human present, tracking them, and possibly differentiate between human and nonhuman subjects [20].…”

Section: Introductionmentioning

confidence: 99%

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Crowd Sensing Systems: A Mini Review

Othman¹,

Alhady²,

Ahmad³

2018

IJTSRD

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“…The sensors, electronics and the power supply are integrated into the bootee, which provides reliable pulse oximetry measurements as well as useful information about the infant's movement and position [ 12 ]. Through detecting the variation in the exhaled CO 2 concentration using CO 2 sensors placed in the crib around an infant, clinicians are able to detect if there is anything unusual with the infant's respiration [ 13 ]. In Yamada and Watanabe's study, they tried to construct a prototype of a small pressure-sensor-driven round bar grip measurement device called DataGrip to measure the infant's grip strength.…”

Section: Introductionmentioning

confidence: 99%

Wearable Sensor Systems for Infants

Zhu

Liu

et al. 2015

Sensors

153

101

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Continuous health status monitoring of infants is achieved with the development and fusion of wearable sensing technologies, wireless communication techniques and a low energy-consumption microprocessor with high performance data processing algorithms. As a clinical tool applied in the constant monitoring of physiological parameters of infants, wearable sensor systems for infants are able to transmit the information obtained inside an infant's body to clinicians or parents. Moreover, such systems with integrated sensors can perceive external threats such as falling or drowning and warn parents immediately. Firstly, the paper reviews some available wearable sensor systems for infants; secondly, we introduce the different modules of the framework in the sensor systems; lastly, the methods and techniques applied in the wearable sensor systems are summarized and discussed. The latest research and achievements have been highlighted in this paper and the meaningful applications in healthcare and behavior analysis are also presented. Moreover, we give a lucid perspective of the development of wearable sensor systems for infants in the future.

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A non-invasive and remote infant monitoring system using CO<inf>2</inf> sensors

Cited by 7 publications

References 9 publications

A Vision-Based Infant Respiratory Frequency Detection System

A Vision-Based Infant Respiratory Frequency Detection System

Crowd Sensing Systems: A Mini Review

Wearable Sensor Systems for Infants

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