Modern medicine is increasingly dependent on digital data, which are becoming critically important to ensure correct diagnoses and treatments. For example, imaging technologies such as MRI and CT scans provide vast amounts of data which need processing by specialized models. Although these models are well developed in the engineering community, their suitability for clinical applications must be evaluated before they can be used in practice. This requires the evaluation of new types of signals that could arise from an imaging modality and new ways in which these signals can be processed. In addition, faster processing is required to cope with the increasing volume of data coming from spectral analysis techniques. In today’s world, where technology and assessment techniques are becoming more and more advanced every single day, it is necessary to have a good understanding of signal/image processing and wearable devices as it will help improve the quality of your everyday life. Moreover, the recent developments in wearable and portable devices have played a pivotal role in the success of assistive care for a wide variety of applications with the help of signal processing-based software.
Signal processing or other assistive techniques are required in healthcare to acquire and analyze data generated by physical measurements. The acquired data, which is then processed, can be quantified and analyzed to assist physicians in diagnosing a patient, monitoring morbidity, or predicting outcomes. In addition, numerous techniques can be applied to pre-process data and form informative features that are beneficial for classification or regression problems. Data from multiple modalities such as EEG, blood pressure waveforms, electrocardiograms, etc., can be processed with the help of signal processing methods for better results regarding disease diagnosis and treatment analysis. The research in signal processing is largely focused on using various methods to process signals. However, there is a need for more research in signal processing aimed at healthcare devices, biometrics and personalized medicine. While there has been significant advancement in the area of developing new randomized controlled trials for drug discovery, very little attention has been paid to bio-signal analysis from the viewpoint of clinical pharmacology and therapeutics. This can help develop many diagnostic products for personalized medicine, companion diagnostics and disease management solutions.
With the global healthcare is shifting towards advanced sensing, processing and wearable technologies to predict, prevent, and personalize various medical conditions. This special issue forms an ideal platform for the researchers, medical professionals, and programmers to present their unpublished works, and perspectives on recent innovations and developments in signal processing and other assistive technologies in various health care applications.
Topics covered:
- Recent developments in modeling and acquisition of biomedical signals of different disorders
- Signal Processing based novel approaches for Clinical Pharmacology and Drug Discovery
- Wearable Technologies and advanced information and communication technology for current health care applications.
- Bioinformatics and signal processing for personalised medicine for patients in remote regions
- Feature extraction from biomedical signals using nonlinear techniques
- Bio-signal processing and analysis methods for diagnostics and personalized medicine.
- Trends in processing of biomedical signals of noninvasive sensors
- Smart Wearable techniques for Real-time Human Vital Signs Monitoring
- Emerging advances in signal processing for analysis and classification of heart abnormalities
- Advances in Image and Signal Processing for decentralized E-Health Applications
- Intelligent health monitoring systems and wearable technologies for advanced healthcare systems development
- Future of Signal Processing Techniques for Remote Health Monitoring
- Advances in & future of assistive medical devices for cost-effective healthcare services
