Personalized healthcare through intelligent gadgets.

Annu Int Conf IEEE Eng Med Biol Soc

Electronics and Telecommunications Research Institute, Gajeong Dong, Yuseong Gu, Daejeon, Korea.

Published: April 2009

An intelligent gadget is a wearable platform which is reconfigurable, scalable, and component-based and which can be equipped, carried as a personal accessory, or in a certain case, implanted internally into a body. Various kinds of personal information can be gathered with intelligent gadgets, and that information is used to provide specially personalized services to people in the ubiquitous computing environment. In this paper, we show a personalized healthcare service through intelligent gadgets. A service based on intelligent gadgets can be built intuitively and easily with a context representation language, called the intelligent gadget markup language (IGML) based on the event-condition-action (ECA) rule. The inherent nature of extensibility, not only environmental information but also physiological information can be specified as a context in IGML and can be dealt with an intelligent gadget with ease. It enables intelligent gadgets to be adopted to many different kinds of personalized healthcare services.

Download full-text PDF

Source
http://dx.doi.org/10.1109/IEMBS.2008.4649912DOI Listing

Publication Analysis

Top Keywords

intelligent gadgets
20
personalized healthcare
12
intelligent gadget
12
intelligent
8
gadgets
5
personalized
4
healthcare intelligent
4
gadgets intelligent
4
gadget wearable
4
wearable platform
4

Similar Publications

Metaverse forensics framework: A NIST based investigation framework for metaverse.

Sci Justice

November 2024

Department of Artificial Intelligence, Lviv Polytechnic National University, S. Bandera st. 29, Lviv, 79013, Ukraine. Electronic address:

The Metaverse is an intersection of virtual, augmented, and mixed reality that offers users an interactive virtual environment. This new technology has enormous possibilities for both people and companies. However, owing to the existence of inherent vulnerabilities associated with Metaverse, misconduct is a major concern.

View Article and Find Full Text PDF

Medical imaging plays a pivotal role in diagnostic medicine with technologies like Magnetic Resonance Imagining (MRI), Computed Tomography (CT), Positron Emission Tomography (PET), and ultrasound scans being widely used to assist radiologists and medical experts in reaching concrete diagnosis. Given the recent massive uplift in the storage and processing capabilities of computers, and the publicly available big data, Artificial Intelligence (AI) has also started contributing to improving diagnostic radiology. Edge computing devices and handheld gadgets can serve as useful tools to process medical data in remote areas with limited network and computational resources.

View Article and Find Full Text PDF

Within this manuscript, we provide a novel Fano resonance-driven micro-nanosensor. Its primary structural components are a metal-insulator-metal (MIM) waveguide, a shield with three disks, and a T-shaped cavity (STDTC). The finite element approach was used to study the gadget in theory.

View Article and Find Full Text PDF

Strengthening network DDOS attack detection in heterogeneous IoT environment with federated XAI learning approach.

Sci Rep

October 2024

Department of Information Management and Business Systems, Faculty of Management, Comenius University in Bratislava, Odbojárov 10, Bratislava 25, 82005, Bratislava, Slovakia.

Due to the rising use of the Internet of Things (IoT), the connectivity of networks increases the risk of Distributed Denial of Service (DDoS) attacks. Decentralized systems commonly used in centralized security systems fail to adequately prevent potential cyber threats in IoT because of the issues of privacy and scaling. The method proposed in this study seeks to remedy these facts by employing Explainable Artificial Intelligence (XAI) together with Federated Deep Neural Networks (FDNNs) to detect and prevent DDoS attacks.

View Article and Find Full Text PDF

Human-AI collaboration improves adults' oral biomechanical functions: A multi-centre, self-controlled clinical trial.

J Dent

November 2024

Dental Materials Science, Division of Applied Oral Sciences and Community Dental Care, Faculty of Dentistry, The University of Hong Kong, Prince Philip Dental Hospital, 34 Hospital Road, Sai Ying Pun, Hong Kong, Hong Kong SAR, PR China. Electronic address:

Objectives: Maintenance of oral muscle functions is important for survival and communication. Utilizing Artificial Intelligence (AI) as a self-health-management material has shown promise. Here we developed a functional and AI-enabled smartphone e-Oral APP that provided real-time feedback features to let humans collaborate with AI, targeting to improve oral biomechanical and speech functions of adults.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!