Sun Guanghao, Okada Masakazu, Nakamura Rin, Matsuo Taro, Kirimoto Tetsuo, Hakozaki Yukiya, Matsui Takemi
Graduate School of Informatics and Engineering The University of Electro-Communications Chofu, Tokyo Japan.
Konica Minolta, Inc. Tokyo Japan.
Clin Case Rep. 2018 Nov 13;7(1):83-86. doi: 10.1002/ccr3.1922. eCollection 2019 Jan.
Respiratory rate is often measured manually and discontinuously by counting of chest wall movements in routine clinical practice. We introduce a novel approach to investigate respiration dynamics using a noncontact medical radar system for identifying patient at risk of infection. The system enables early detection of pneumonia in bedridden hospitalized patients.
在常规临床实践中,呼吸频率通常通过手动计数胸壁运动来间断测量。我们引入了一种新颖的方法,使用非接触式医用雷达系统来研究呼吸动力学,以识别有感染风险的患者。该系统能够早期检测卧床住院患者的肺炎。