The File - June 16 , 2009 - (Page 1)

India’s fortnightly focus on electronics design June 16-30, 2009 Automating disease detection By Anurag Kumar Technical Manager R&D Services Mindtree Ltd medical CAD technology and its application for disease detection. The “early health” vision of the healthcare industry is being realised by preventive, predictive, and personalised (P3) medicine. Advanced IT-based disease detection and diagnostics technologies are shaping the P3 trend by transforming medical diagnostics procedures from curative to preemptive. Medical computer-aided detection (CAD) is one such emerging IT-based disease detection technology. Medical CAD allows automated detection of pathologies by interpretation of radiological images using digital signal and image processing algorithms. This method reduces inter-observer Figure: Digital chest radiograph depicting a malignant lesion. Source: JSRT digital photograph database. subjectivity and increases the overall sensitivity, accuracy and detection capability of manual diagnostic procedures conducted by medical practitioners. This article gives an overview of Medical imaging Medical imaging based diagnostics is performed by medical practitioners by interpretation of anatomical images rendered by medical imaging modalities. For instance, chest X-ray radiographs are visually inspected by radiologists for suspected cases of rib fractures. The same radiographs are examined to identify lesions that interpret to a possible case of lung cancer. This has been, and is, the primary methodology of disease diagnosis via medical imaging modalities. Interpretation of medical images for disease diagnosis is subjective. The outcomes are continued on page 6 RPM to transform healthcare landscape By Manimaran Rajakannu General Manager and Head Medical Devices Wipro Technologies Inside Trends 2 Electronics realises healthcare dream Addressing challenges in medical electronics MCUs enable disposable medical instruments Technological advances have brought about a paradigm shift in patient monitoring and diagnosis. The traditional view of the patient in a hospital room hooked on to patient monitoring devices and cables is gone and the entire healthcare industry value chain (including caregivers and patients) has geared up to a “patient centric” paradigm through remote patient monitoring (RPM). This shift in thinking has been necessitated by the adverse global healthcare scenario—an exponential increase in the number of patients with chronic conditions and an adverse doctor-population ratio. Remote patient monitoring RPM uses sensors to capture and transmit (real-time or store-for- ward) patient biometric data to systems that analyze data and alert caregivers in case of adverse conditions (figure). The patient could be in a hospital or a home or in fact anywhere, given the vast improvements in telecommunication technologies. There are four elements in a RPM system—the sensors to capture the patient data, the clinical gateway that gets data from the device and transmits it in a specified format, the technologies used for connectivity (both wired and wireless), and the applications and algorithms used to analyze the data. Stringent continued on page In Focus 7 9 Events 8 ICEMC2 2009, ENC2SP 2009, ICSTE 2009, 2009 ICCNT www.eetindia.com http://www.embeddeddesignindia.co.in/SEARCH/SUMMARY/technical-articles/dsp.HTM?TheFile_090616 http://www.embeddeddesignindia.co.in/SEARCH/SUMMARY/technical-articles/image processing.HTM?TheFile_090616 http://www.embeddeddesignindia.co.in/SEARCH/SUMMARY/technical-articles/image processing.HTM?TheFile_090616 http://www.eetindia.co.in/STATIC/REDIRECT/Newsletter_090616_GS01.htm http://www.eetindia.co.in/STATIC/REDIRECT/Newsletter_090616_EETI02.htm

Table of Contents for the Digital Edition of The File - June 16 , 2009

The File - June 16 , 2009