Systems engineering principles for the design of biomedical signal processing systems

Faust, Oliver; Acharya, U. Rajendra; Sputh, Bernhard H. C.; Min, Lim Choo

doi:10.1016/j.cmpb.2010.05.002

Cited by 18 publications

(7 citation statements)

References 10 publications

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“…However, such work can only establish maximum performance figures which are rarely achieved with deployed CAD systems [251]. In terms of systems design, theoretical and applied research can only provide evidence that a specific method, or a specific way of building a system, can serve in a practical problem solution which helps medical practitioners and patients [252,253].…”

Section: Discussionmentioning

confidence: 99%

Application of infrared thermography in computer aided diagnosis

Faust

Acharya

et al. 2014

Infrared Physics & Technology

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100

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The invention of thermography, in the 1950s, posed a formidable problem to the research community: What is the relationship between disease and heat radiation captured with Infrared (IR) cameras? The research community responded with a continuous effort to find this crucial relationship. This effort was aided by advances in processing techniques, improved sensitivity and spatial resolution of thermal sensors. However, despite this progress fundamental issues with this imaging modality still remain. The main problem is that the link between disease and heat radiation is complex and in many cases even nonlinear. Furthermore, the change in heat radiation as well as the change in radiation pattern, which indicate disease, is minute. On a technical level, this poses high requirements on image capturing and processing. On a more abstract level, these problems lead to inter-observer variability and on an even more abstract level they lead to a lack of trust in this imaging modality. In this review, we adopt the position that these problems can only be solved through a strict application of scientific principles and objective performance assessment. Computing machinery is inherently objective; this helps us to apply scientific principles in a transparent way and to assess the performance results. As a consequence, we aim to promote thermography based ComputerAided Diagnosis (CAD) systems. Another benefit of CAD systems comes from the fact that the diagnostic accuracy is linked to the capability of the computing machinery and, in general, computers become ever more potent. We predict that a pervasive application of computers and networking technology in medicine will help us to overcome the shortcomings of any single imaging modality and this will pave the way for integrated health care systems which maximize the quality of patient care.

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Section: Discussionmentioning

confidence: 99%

Application of infrared thermography in computer aided diagnosis

Faust

Acharya

et al. 2014

Infrared Physics & Technology

Self Cite

100

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“…The only way to overcome these difficulties is through well thought out design strategies which take into account the increased levels of system complexity [135].…”

Section: Discussionmentioning

confidence: 99%

A Review of Ecg-Based Diagnosis Support Systems for Obstructive Sleep Apnea

Faust

Acharya

et al. 2016

J. Mech. Med. Biol.

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Humans need sleep. It is important for physical and psychological recreation. During sleep our consciousness is suspended or least altered. Hence, our ability to avoid or react to disturbances is reduced. These disturbances can come from external sources or from disorders within the body. Obstructive Sleep Apnea (OSA) is such a disorder. It is caused by obstruction of the upper airways which causes periods where the breathing ceases. In many cases, periods of reduced breathing, known as hypopnea, precede OSA events. The medical background of OSA is well understood, but the traditional diagnosis is expensive, as it requires sophisticated measurements and human interpretation of potentially large amounts of physiological data. Electrocardiogram (ECG) measurements have the potential to reduce the cost of OSA diagnosis by simplifying the measurement process. On the down side, detecting OSA events based on ECG data is a complex task which requires highly skilled practitioners. Computer algorithms can help to detect the subtle signal changes which indicate the presence of a disorder. That approach has the following advantages: computers never tire, processing resources are economical and progress, in the form of better algorithms, can be easily disseminated as updates over the internet. Furthermore, Computer-Aided Diagnosis (CAD) reduces intra- and inter-observer variability. In this review, we adopt and support the position that computer based ECG signal interpretation is able to diagnose OSA with a high degree of accuracy.

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“…In the specification refinement phase, formal methods, such as Communicating Sequential Processes (CSP) [194], B-method [195] and petri nets, can be used to establish beyond reasonable doubt specific safety and reliability aspects of the diagnosis support system [196].…”

Section: Discussionmentioning

confidence: 99%