CTRI/2022/06/043577已完成未知
AI algorithm aided assessment of respiratory parameters using speech recordings in a community setting from coastal Karnataka
Philips India0 个研究点目标入组 880 人开始时间: 待定最近更新:
试验速览
- 阶段
- 未知
- 状态
- 已完成
- 发起方
- 入组人数
- 880
研究概览
简要总结
暂无简介。
研究设计
- 研究类型
- Observational
入排标准
入选标准
- •available & consenting for interview
排除标准
- •Pregnant women
- •Patients who are discharged from hospitals in less than 4 weeks.
- •Patients who used inhalers 12-14 hours prior to the assessment.
- •Subjects in acute exacerbation/recent myocardial infarction or pulmonary embolism (within 4-6 weeks)/ recent eye or abdominal or brain surgery.
研究者
相似试验
已完成
不适用
ultrasound evaluation of fluid overload status in patients with combined kidney and liver diseaseCTRI/2021/12/038610Vedaghosh Amara102
招募中
不适用
Respiratory system evaluation in treatment of acute pulmonary exacerbation in children and adolescents with Cystic FibrosisC06.689.202Cystic FibrosisRBR-489ww6niversidade do Estado de Santa Catarina
已完成
不适用
Prediction of respiratory parameters during mechanical ventilation using lung analysis function of three dimensional CT1) Patients who undergo general anesthesia for surgery 2) Patients who undergo lung resectionJPRN-UMIN000026563Osaka Medical College400
招募中
不适用
Study to use physical measurements to predict difficulty in laryngoscopy during anaesthesia induction in children undergoing surgery.CTRI/2018/06/014673VMMC AND SAFDARJUNG HOSPITA
已完成
不适用
Determination of respiratory system mechanics during general anaesthesia in patients without lung diseases undergoing elective operationsJ80Postprocedural respiratory disorders, not elsewhere classifiedVentilator induced lung injury (VILI)J95Adult respiratory distress syndromeDRKS00004599Klinik für Anästhesie, Intensiv- und Rettungsmedizin, Diakonissenkrankenhaus Karlsruhe37