Using clinical polysomnography data and machine learning to determine minimum sensing requirements for pediatric sleep studies
使用临床多导睡眠图数据和机器学习来确定儿科睡眠研究的最低传感要求
基本信息
- 批准号:491364
- 负责人:
- 金额:$ 5.46万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Operating Grants
- 财政年份:2023
- 资助国家:加拿大
- 起止时间:2023-10-01 至 2024-10-01
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Sleep disorders are a common concern for Canadian children. Such disorders can be associated with cognitive, behavioural, emotional and physical health problems. To diagnose such problems, clinical sleep studies are the gold standard method. However, slee
睡眠障碍是加拿大儿童普遍关心的问题。此类疾病可能与认知、行为、情绪和身体健康问题有关。要诊断此类问题,临床睡眠研究是金标准方法。然而,睡眠
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Wu Lyndia (Chun)其他文献
Wu Lyndia (Chun)的其他文献
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{{ truncateString('Wu Lyndia (Chun)', 18)}}的其他基金
A prospective and longitudinal investigation of concussive and subconcussive mild traumatic brain injury mechanisms in ice hockey
冰球运动中脑震荡和亚脑震荡轻度创伤性脑损伤机制的前瞻性纵向研究
- 批准号:
419138 - 财政年份:2020
- 资助金额:
$ 5.46万 - 项目类别:
Operating Grants
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