An algorithm for the automatic detection of health conditions - An image processing technique for diagnosing poor health in the elderly
An algorithm for the automatic detection of health conditions - An image processing technique for diagnosing poor health in the elderly
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DOI：
10.1109/memb.2005.1463394
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发表时间：
2005-07-01
影响因子：
--
通讯作者：
Tamura, T
中科院分区：
文献类型：
--
作者：
Nambu, M;Nakajima, K;Tamura, T
在这篇文章中，老年人的健康诊断系统，使用图像处理的算法开发。该算法从受试者观看电视的时间数据重建单色图像，并从图像的熵计算用于诊断受试者的健康状况的指标。当将该算法应用于七个月获得的数据时，结果几乎与受试者的健康状况相对应。假设该方法不仅可以用于身体状况的诊断，而且可以用于精神状况的诊断。作为评价的结果，根据受试者，该算法被认为是有效的。此外，该方法是经济的，因为该算法只需要从简单的传感器获得简单的数据。在未来，自动诊断将使用该算法。最后，如果这个系统是可行的，总的医疗费用将减少。
In this article, an algorithm for a health diagnosis system for the elderly that uses image processing was developed. This algorithm reconstructs monochrome images from data of the time a subject watches TV and calculates the index for diagnosis of the subject's health condition from the entropy of the image. When this algorithm was applied to the data obtained for seven months, the result almost corresponded to the health condition of the subject. It is assumed that this method can be used not only for diagnosis of a physical condition but also for diagnosis of a mental condition. As a result of the evaluation, this algorithm is considered to be effective according to the subject. In addition, this method was economical because the algorithm needed only simple data acquired from simple sensors. In the future, an automatic diagnosis will be available using this algorithm. Finally, total medical expenses will be reduced if this system is practical.