Today, multimedia and pattern recognition-based medical technology is becoming a popular trend, and can explore and utilise multimedia information, including video streams, images, voices, heartbeat, blood pressure and scalar sensor data. Based on this kind of technology, medical devices are able to perceive, process in real-time, analyse and evaluate multi-source and multi-dimensional data, and thus have been widely used in disease diagnosis, rehabilitation, health monitoring, assisted surgery and other medical areas.
Many of these applications require a multimedia and pattern recognition paradigm using medical sensors. The notion of neurocomputing is becoming a reality with the development of a variety of multimedia technologies. The intelligence functions of multimedia and pattern recognition technologies can be applied to smart hospitals, smart clinics, smart rehabilitation at home and so on. Accordingly, assessment and evaluation methods need to be developed and incorporated into the iterative design process.
This special issue calls for high-quality, up-to-date articles related to medical technology based on multimedia and pattern recognition, and serves as a forum for researchers all over the world to discuss their works and recent advances in multimedia/pattern recognition medical technology or devices and their clinical applications. In particular, the issue aims to showcase the most recent achievements and developments in machine learning and neurocomputing technologies for medicine. Both theoretical studies and papers on state-of-the-art practical applications are welcome for submission. Articles will be selected on the basis of both their quality and their relevance to the theme of this special issue.
Suitable topics include, but are not limited to, the following:
- Machine learning and neurocomputing in medical technology
- Multimedia and pattern recognition technology for medicine
- Wearable, multimodal and multiple sensor healthcare devices
- Neural networks and learning systems
- Sparse coding, learning-to-rank, bag-of-features
- Internet of things/cloud computing-based medicine
- Stereoscopic 3D image and/or video quality assessment
- Multimedia signal processing and 3D video pre/post-processing
- Bio-optics and health monitoring
- Pervasive and ubiquitous technology for medicine
- Virtual rehabilitation and its efficacy evaluation
- Ultra-wideband (UWB) radar imaging for healthcare
- Virtual/augmented reality and human-computer interaction
- Virtual avatar and virtual body/self representation
- Wireless and internet-of-things technology for medicine
- Serious games for clinical purposes
- NeuroAtHome-related production
Important Dates
Submission deadline: 20 February, 2016
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