您的位置: 首页 > 农业专利 > 详情页

SYSTEMS AND METHODS FOR PREDICTING ADVERSE EVENTS AND ASSESSING LEVEL OF SEDATION DURING MEDICAL PROCEDURES
专利权人:
Massachusetts Institute of Technology;Children's Medical Center Corporation
发明人:
George Cheeran Verghese,Margaret Gan Guo,Rebecca Mieloszyk,Thomas Heldt,Baruch Shlomo Krauss
申请号:
US16452631
公开号:
US20190378595A1
申请日:
2019.06.26
申请国别(地区):
US
年份:
2019
代理人:
摘要:
Systems and methods are disclosed herein for quantitatively identifying a patient's sedation level and predicting adverse events, based on one or more capnograms or outputs from a pharmacokinetic, pharmacodynamic, or ventilatory model. A sensor measures a carbon dioxide concentration of air exhaled by a patient into a breath receiver. A processor processes the sensor data to generate a capnogram including one or more respiratory cycles, computes the outputs of pharmacokinetic, pharmacodynamic, or ventilatory models, and extracts one or more of the resulting features from the capnogram and pharmacokinetic, pharmacodynamic, or ventilatory model outputs. A multi-parameter metric is computed based on the one or more extracted features and estimates the current or predicted sedation level of the patient.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

意 见 箱

匿名:登录

个人用户登录

找回密码

第三方账号登录

忘记密码

个人用户注册

必须为有效邮箱
6~16位数字与字母组合
6~16位数字与字母组合
请输入正确的手机号码

信息补充