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Experts indicate that as many as 98,000 people die only in US each year at hospitals as a result of medical errors, such as diagnostics and treatment that could have been prevented. This is more than die from motor vehicle accidents, breast cancer, or AIDS. Therefore, the cost of faulty medical errors is actually higher than some causes that receive far more public attention. Interestingly, these medical errors are more commonly caused by faulty systems and conditions that lead people to make mistakes other than the people themselves [J. M. Corrigan et al. in “To err is human: Building a safer health system,” American Institute of Medicine, Tech. Rep., November 1999].
A typical example for a faulty diagnostics can be the diagnosis of the epilepsy seizures that requires continuous monitoring of the patient at the hospital, which is a costly endeavor. Since it removes the patient from his or her routine, the diagnostics can be affected. A possible solution to this problem is the ambulatory monitoring of the patients. This can not only enable the patient to live his or her routine and improve the diagnostics, but also can reduce the medical cost [E. Waterhouse in Engineering in Medicine and Biology Magazine, IEEE, vol. 22, no. 3, pp. 74–80, 2003].
However, the ambulatory monitoring of the patients’ requires an adequate technology platform for the support of the patient. The e-Health project, “The use, in the health sector, of digital data—transmitted, stored and retrieved electronically—in support of health care, both at the local site and at a distance.” as defined by WHO, can be the platform for the support and the diagnostics of the patients. E-health is claimed to offer the potential to reduce the medical cost, enable personalized health care, deliver remote health services, and increase the delivery efficiency in real-time. Therefore, the gathering of fast and reliable medical information from the patient lies in the center of the e-Health project, which can be achieved through implementation of biomedical sensors in Body Area Networks (BAN).
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