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Cough sound as a symptom for health disorder for elderly people

机译:咳嗽音是老年人健康障碍的症状

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Recently, elderly people who live alone are increasing in their number. In order to secure thesituation to keep their health in good condition, it is important to find out how to check thehealth disorder even without taking face to face communication. For this, our final goal is todevelop a system detecting a symptom of abnormal health of the elderly people using acousticinformation and to integrate the system with remote sensing technology through web networkfor sending the information to the health center. In this study, we chose their cough sounds asthe symptom of the health disorder. To develop a method to distinguish the cough sound fromthe other sound signals, the hybrid model utilizing the artificial neural network model and thehidden Markov model has been developed using A-weighted sound pressure levels obtainedfrom frequency band analysis as input variables. This model had high performance for thediscrimination of the cough sound to the others with its accuracy above about 94%.
机译:最近,独居的老年人的数量正在增加。为了确保保持健康状态,重要的是找到即使不进行面对面交流也要检查健康状况的方法。为此,我们的最终目标是开发一种利用声音信息检测老年人异常健康症状的系统,并通过网络将系统与遥感技术集成在一起,以将信息发送至健康中心。在这项研究中,我们选择咳嗽音作为健康障碍的症状。为了开发一种将咳嗽声与其他声音信号区分开的方法,利用从频带分析获得的A加权声压级作为输入变量,开发了利用人工神经网络模型和隐马尔可夫模型的混合模型。该模型具有较高的识别咳嗽声的能力,其准确性超过94%。

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