Amit Kumar Manocha - Computational Intelligence in Healthcare

With the development of database systems and networking technologies, Hospital Information Management Systems (HIMS) and web-based clinical or medical systems (such as the Medical Director, a generic GP clinical system) are widely used in health and clinical practices. Healthcare and medical service are more data-intensive and evidence-based since electronic health records are now used to track individuals and communities health information. These highlights substantially motivate and advance the emergence and the progress of health informatics research and practice. Health Informatics continues to gain interest from both academia and health industries. The significant initiatives of using information, knowledge and communication technologies in health industries ensures patient safety, improve population health and facilitate the delivery of government healthcare services. Books in the series will reflect technologys cross-disciplinary research in IT and health/medical science to assist in disease diagnoses, treatment, prediction and monitoring through the modeling, design, development, visualization, integration and management of health related information. These technologies include information systems, web technologies, data mining, image processing, user interaction and interfaces, sensors and wireless networking, and are applicable to a wide range of health-related information such as medical data, biomedical data, bioinformatics data, and public health data.

Series Editor: Yanchun Zhang, Victoria University, Australia

Editorial Board: Riccardo Bellazzi, University of Pavia, Italy; Leonard Goldschmidt, Stanford University Medical School, USA; Frank Hsu, Fordham University, USA; Guangyan Huang, Victoria University, Australia; Frank Klawonn, Helmholtz Centre for Infection Research, Germany; Jiming Liu, Hong Kong Baptist University, Hong Kong, China; Zhijun Liu, Hebei University of Engineering, China; Gang Luo, University of Utah, USA; Jianhua Ma, Hosei University, Japan; Vincent Tseng, National Cheng Kung University, Taiwan; Dana Zhang, Google, USA; Fengfeng Zhou, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China

More information about this series at http://www.springer.com/series/11944

This Springer imprint is published by the registered company Springer Nature Switzerland AG

The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

Kirlian photography is a technique based on electrical coronal discharge. In this technique, the photographic plate made of metal is charged with a high-voltage source. The process is also quite simple, and it is recommended to use transparent electrodes instead of the discharge plate. It is an exciting method to capture the corona discharge of individual subjects. Medical image compression finds extensive applications in healthcare, teleradiology, teleconsultation, telemedicine, and telematics. Efficient compression algorithms implement the development of picture achieving and communication systems (PACS). To reduce transmission time and storage costs, efficient image compression methods without degradation of images are needed. In medical image compression techniques, the lossy and lossless methods do not produce optimum compression with no information loss.

The circuit complexity and propagation delay are the primary concern in the design of the digital circuit. In the binary system, as the number of bits increases, the computation speed is limited by carrying. Consequently, it offers low storage density, enormous complexity, and O (n) carry, producing a delay in n-bit base on two application problems. For less complexity and higher information storage density, higher radix number system can be used. Quaternary signed digit (QSD) number system performs carry-free addition and borrows free subtraction. The concept of telemedicine and telehealth is still a novice one to most practitioners. However, the continued advances in technology can demand its usability from a new generation of tech-savvy people due to its convenience, cost-effectiveness, and intelligent features. These include store and forward techniques, real-time interactive modes, remote monitoring, and smartphones for healthcare services like m-health.