Fetal Heart Rate Monitoring System (FHRMS)

Ertuğrul, Duygu Çelik; Kanmaz, Hakan; Yuksel, Mehmet Ugur; Elçi, Atilla; Ertuğrul, Mehmet

doi:10.1109/compsac.2016.116

Cited by 9 publications

(2 citation statements)

References 4 publications

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“…To convert primitive geometries and data in the surrounding model, a script capable of accessing and translating geospatial data was utilized within the Rhinoceros + Grasshopper ecosystem (Robert McNeel & Associates, 2021)with the toolset offered by the plugin @it (Ertugrul & Nowrouzi, 2016), we have used the height feature available in the dataset provided as an extrusion factor, generating a volumetric, simplified, and georeferenced model of the radius of interest.…”

Section: Data Collection and Preparationmentioning

confidence: 99%

Architecture and Context: A Data-based Approach to Optimize Climate Performance of Built Facades

Alexandrino¹,

Amorim²,

Muniz³

et al. 2021

Blucher Design Proceedings

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The present research stems from a critical reflection about the environmental adaptability of existing building envelopes. The main goal is to explore how to balance environmental optimization with contextual constraints, using modularity, flexibility and mass customization as guiding principles. An application study was carried out with the development of a second skin proposal aligned with the use and context of the building under study. For this purpose, simulations that assess environmental conditions were developed within a visual programming tool, not only feeding the design process with essential information, but also providing a flexible creative process. Results show that such simulations allow the designer to interpret these studies more accurately, reducing the iterative guesswork, since in this workflow it is possible to transform these outputs into proposition parameters for new designs or interventions.

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Section: Data Collection and Preparationmentioning

confidence: 99%

Architecture and Context: A Data-based Approach to Optimize Climate Performance of Built Facades

Alexandrino¹,

Amorim²,

Muniz³

et al. 2021

Blucher Design Proceedings

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“…Ertugrul, Kanmaz, Yüksel, Elçi, and Ertugrul () proposed a DSS called Fetal Heart Rate Monitoring System (FHRMS) via a mobile integrated Doppler device (mDoppler) with an attached Toco Probe for gathering fetal heart rate (FHR) and uterus contraction (UC) signals, respectively. The system is designed to assess the FHR values of an unborn baby at certain intervals, by considering instant baseline FHR, baseline FHR variability, and any periodic and/or nonperiodic FHR changes, including acceleration and deceleration signals.…”

Section: Key Phrs Applications and Case Studies In Literaturementioning

confidence: 99%

A survey on semanticized and personalized health recommender systems

Ertuğrul

Elçi

2019

Expert Systems

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Health 3.0 is a health‐related extension of the Web 3.0 concept. It is based on the semantic Web which provides for semantically organizing electronic health records of individuals. Health 3.0 is rapidly gaining ground as a new research topic in many academic and industrial disciplines. Due to the recent rapid spread of wearable sensors and smart devices with access to social media, migrating health services from the traditional centre‐based health system to personal health care is inevitable. In this current era of greater personalization, treating patients' health problems according to their profile and medical data gathered is possible using the latest information technologies. Consequently, personalized health recommender systems have gained importance. Empowering the utility of advanced Web technology in personalized health systems is still challenging due to pressing issues, such as lack of low cost and accurate smart medical sensors and wearable devices, existing investment in legacy Web system architecture in health sector, heterogeneity of medical data gathered by myriad health care institutions and isolated health services, and interoperability issues as well as multi‐dimensionality of medical data. By tracing recent developments, this paper offers a systematic review through recent research on semantic Web‐enabled personalized health systems, namely, semanticized personalized health recommender systems with the key enabling technologies, major applications, and successful case studies. Critical questions derived from the research studies were discussed, and main directions of open issues were identified leading to recommendations for future study in the field of personalized health recommender systems.

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Smart Fetal Health Monitor

Shilvya¹,

Jose²

2022

Lecture Notes in Electrical Engineering

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Fetal Heart Rate Monitoring System (FHRMS)

Cited by 9 publications

References 4 publications

Architecture and Context: A Data-based Approach to Optimize Climate Performance of Built Facades

Architecture and Context: A Data-based Approach to Optimize Climate Performance of Built Facades

A survey on semanticized and personalized health recommender systems

Smart Fetal Health Monitor

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