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IEEE Transactions on Information Technology in Biomedicine is a peer-reviewed journal published by IEEE, covering Wireless Body Area Networks, Electronic Health Records Systems, ECG Monitoring and Analysis.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Transactions on Information Technology in Biomedicine, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Transactions on Information Technology in Biomedicine style. No sign-up. |
| Publishes research in | Wireless Body Area Networks Electronic Health Records Systems ECG Monitoring and Analysis Medical Image Segmentation Techniques Context-Aware Activity Recognition Systems |
| ISSN | 1089-7771 |
| Citation impact (2-yr) | 230 |
| h-index | 145 |
| i10-index | 1,009 |
| Total citations | 83,300 |
| Top institutions publishing here | National Technical University of Athens |
| Journal website | ieeexplore.ieee.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
The real-time monitoring of human movement can provide valuable information regarding an individual's degree of functional ability and general level of activity. This paper presents the implementation of a real-time classification system for the types of human movement associated with the data acquired from a single, waist-mounted triaxial accelerometer unit. The major advance proposed by…
Automatic classification of everyday activities can be used for promotion of health-enhancing physical activities and a healthier lifestyle. In this paper, methods used for classification of everyday activities like walking, running, and cycling are described. The aim of the study was to find out how to recognize activities, which sensors are useful and what kind…
The detection of recorded epileptic seizure activity in EEG segments is crucial for the localization and classification of epileptic seizures. However, since seizure evolution is typically a dynamic and nonstationary process and the signals are composed of multiple frequencies, visual and conventional frequency-based methods have limited application. In this paper, we demonstrate the suitability of…
We describe a wireless wearable system that was developed to provide quantitative gait analysis outside the confines of the traditional motion laboratory. The sensor suite includes three orthogonal accelerometers, three orthogonal gyroscopes, four force sensors, two bidirectional bend sensors, two dynamic pressure sensors, as well as electric field height sensors. The "GaitShoe" was built to…
The inferred cost of work-related stress call for prevention strategies that aim at detecting early warning signs at the workplace. This paper goes one step towards the goal of developing a personal health system for detecting stress. We analyze the discriminative power of electrodermal activity (EDA) in distinguishing stress from cognitive load in an office…
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