Statistical recognition of aspiration presence
Statistical recognition of aspiration presence
复制标题
误吸存在的统计识别
DOI：
10.1007/978-94-007-6818-5_38
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Kurato Maeno and Toshinari Kamakura
中科院分区：
文献类型：
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作者：
Shuhei Inui;Kosuke Okusa;Kurato Maeno and Toshinari Kamakura
研究医疗保健应用对于老龄化社会中的孤独死亡具有重要意义。前人的许多工作都提出了一种利用非接触雷达进行吸气检测的方法。但这些作品仅限于坐在椅子上的题材。我们将用户在发生异常情况时摔倒的状态视为日常生活。在本研究中，我们将重点放在卧位呼吸暂停或呼吸暂停的检测上，因为最终决定生死的是呼吸。作为系统的初始阶段，提出了利用支持向量机对低干扰环境下的微波多普勒信号进行卧位抽吸的识别方法。
A study on the healthcare application is very important for the solitary death in aging society. Many previous works had been proposed a detection method of aspiration using the non-contact radar. But the works are only in subjects with sitting in a chair. We consider that user falls down in the state when he happen abnormal situation as daily life. In this study, we focus on the detection of “aspiration” or “apnea” for the lying position, because the final decision of the life or death is aspiration. As initial stage of the system, we propose the recognition method for the presence of aspiration with lying position under the low-disturbance environment from microwave Doppler signals by using support vector machine (SVM).