智能纺织品在急诊科胸痛患者中的应用

Sheng-Chung Tien, Ren-Guey Lee, Yen-Yi Feng, Shih-Feng Huang, Wen-Han Chang, Tsung-Yu Lee
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引用次数: 1

摘要

开发一种具有心率检测功能,移动方便,有效缓解医护人员在门诊面对病人时工作效率的系统是我们的主要目标。预后是指医学上基于线索样本群的疾病预测结果,样本越大,预测越准确。本研究将导电丝应用于纺织品设计中。我们采用穿戴舒适的导电背心和胸带来记录住院病人的连续生理指标。在住院结束时,系统将综合医院原有指标、HRV等指标对出院风险评分进行评估,为急诊医生提供更好的以胸痛患者为重点的出院诊断,并通过患者3天、30天的召回率验证该预后的准确性。
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Smart textiles applied in emergency department patients with chest pain
Develop a system with heart-rate detecting function, convenient-moving and effectively to ease the medical staff's working efficiency when facing the patients in clinic is our main goal. Prognosis, which means the results of disease-prediction based on groups of clue's samples in medical, the bigger the samples, the more precise the prognosis. This research uses the conductive silk in the textile design. We adapt the wearing-comfortable conductive vest and chest belt to record hospitalized patients' continuously physiological index. In the end of hospitalization, the system will summarize the original indexes of hospital, HRV and other indexes to evaluate the risk score of hospital-discharging, which provides a better hospital-discharging diagnosis focusing on chest pain patients for ER doctors, and verifies the accuracy of this prognosis by means of the 3 days and 30 days recalling rate of patients.
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