Virtual reality (VR) has been making inroads into medicine in a broad spectrum of applications, including medical education, surgical training, telemedicine, surgery and the treatment of phobias and eating disorders. [he extensive and innovative applications of VR in medicine, made possible by the rapid advancements in information technology, have been driven by the need to reduce the cost of heatthcare while enhancing the quality of life for human beings.In this paper, we discuss the design, development and realisation of an innovative technology' known as the Georgia Tech Wearable Motherboard T~ (GTWM), or the "Smart Shirt". The principal advantage of GTWM is that it provides, for the first time, a very systematic way of monitoring the vital signs of humans in an unobtrusive manner. The flexible data bus integrated into the structure transmits the information to monitoring devices such as an EKG machine, a temperature. recorder, a voice recorder, etc. GTWM is lightweight and can be worn easily by anyone, from infants to senior citizens. We present the universal characteristics of the interface pioneered by the Georgia Tech Wearable Motherboard TM and explore the potential app!ications of the techno!ogy in areas ranging from combat to geriatric cam. The GTWM is the realisation of a persona[ information processing system that gives new meaning to the term ubiquitous computing. Just as the spreadsheet pioneered the field of information processing that brought "computing to the masses", it is anticipated that the Georgia Tech Wearable Motherboard ~ wilt bring personalised and affordable healthcare monitoring to the population at large.
The scope, usability, limitations and predictive power of four modeling methodologies are analyzed in this paper: mathematical models, empirical models, computer simulation models, and artificial neural network models. The predictive power of each of the four is estimated by comparing predicted yarn strength with experimentally obtained strengths for yarns spun using different process conditions and material parameters.
This program develops and denonstrates tecknologies useful jor iinplenreritirzg ii nzanugeuble cost ejjective systems approach to monitoring the medical condition of personnel by )cay of i i n imtrimented unqortn hereiijter referred to as a Sensate Liner (SL). The SL consists of GI form fitting garment ushich contains clrid interconnects sensing elements and devices to an electronics pack con fair zing a processor and transmitter. Tlie SL prototype requires fiber, textile, garment and sensor iletieloptnent. The SL textile consists of a mesh of electricully and optically condiictive fibers integrated into the rzormiil stritctiire trvoverz or knitted) of fibers and . I "XS selected for corifort and durability. A suite of SL girriizerzt compatible embedded biological and physical seri.~ois are then integi-ated into the SL. The initial SL .WZSOI' sitire is selected to improve tiiage for combat cusualties. Additional SL sensor concepts for medical morzitoi-ing ,rill be discussed.
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