Titlebook: Ambient Intelligence in Health Care; Proceedings of ICAIH Tripti Swarnkar,Srikanta Patnaik,Manohar Mishra Conference proceedings 2023 The E

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978-981-19-6070-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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Tripti Swarnkar,Srikanta Patnaik,Manohar MishraPresents recent innovative research in intelligence in health care.Provides results of ICAIHC 2021 organized in Bhubaneswar, India, during April 2022.Serves as a reference for young scholars, research

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,Orte und Räume der Demokratie,ments and features in recent years. The integration of sensor nodes into intelligent sensing, information processing and information exchange infrastructures form healthcare WSNs will have a significant impact on a variety of applications, including telemedicine, habitat monitoring, structure health

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Die Dynamische Kompressionsplatte DCPnent technologies. As a natural outcome of this technology, it will be able to collect, archive, and analyze the data of several biological signals obtained through distinct physiological sensor devices. The real-time application of the technology deals with patient monitoring by alarming authentica

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Die Dynamische Kompressionsplatte DCPability to segment tumours from magnetic resonance imaging (MRI) brain pictures is crucial for providing effective treatment and surgical planning. Radiologists also accept the importance of the optimised result of multilevel thresholding for segmenting the desired region from the medical images. Th

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https://doi.org/10.1007/978-3-662-29069-9 Manual booking of an ambulance is a time-consuming process. In addition, the delay caused due to the heavy traffic in between the victim’s location and the hospital’s location may increase the risk of death for the victim. So, the system proposed by this project will help the users to call a nearby

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,Metamorphosen der Grenzüberschreitung,sis. In this approach, noises contained in the cardiac image are removed using median filter initially. Then, GLCM features are extracted from the cardiac image. Among the extracted features, optimal features are chosen using ChOA algorithm. These selected features taken as input to the classifier.