2013 IEEE 15th International Conference on E-Health Networking, Applications and Services (Healthcom 2013) 2013
DOI: 10.1109/healthcom.2013.6720739
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A multi-communication-fusion based mobile monitoring system for maternal and fetal information

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Cited by 4 publications
(5 citation statements)
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“…Moreover, by sending information to the server for processing and remote diagnostics, patients have access to comprehensive care. (Lyu et al, 2013) Tsai et al, 2006 proposes a tracking the fetal heart rate (FHR) and prenatal recognition of distress portable equipment. The suggested method uses machine vision techniques to gather FHR values and the use of pattern matching to analyze them.…”
Section: Description Of Sensors Used In the Devices For Capturing Datamentioning
confidence: 99%
“…Moreover, by sending information to the server for processing and remote diagnostics, patients have access to comprehensive care. (Lyu et al, 2013) Tsai et al, 2006 proposes a tracking the fetal heart rate (FHR) and prenatal recognition of distress portable equipment. The suggested method uses machine vision techniques to gather FHR values and the use of pattern matching to analyze them.…”
Section: Description Of Sensors Used In the Devices For Capturing Datamentioning
confidence: 99%
“…Lyu et al [76], suggested an Android OS-based multicommunication fusion-based mobile vital signs monitoring system for expectant women. Patients can keep an eye on maternal and fetal data wherever they choose.…”
Section: Anudeep Et Al [78]mentioning
confidence: 99%
“…Sato et al [75] proposed a compact and flexible sensor system for the wireless transmission of vital signs, which enables fetal and maternal monitoring at home using IoT technology. Lyu et al [76] introduced an Android OS-based multi-communication fusion system for maternal and fetal data monitoring, allowing remote diagnosis and improved accuracy. Saarikko et al [77] devised a smart wristband and IoT-based monitoring approach to continuously follow health parameters at home during pregnancy.…”
Section: Lenka Et Al [57]mentioning
confidence: 99%
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