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基于惯性传感器数据的机器学习来检测,分期和分类疾病及其症状:绘图审查
Daniele Bibbo1, Cristiano De Marchis2, Maurizio Schmid1
1Department of Industrial, Electronic and Mechanical Engineering, Roma Tre University, Rome, Italy.
Physiological measurement
|December 7, 2023
概括
使用可穿戴惯性传感器的机器学习 (ML) 通过检测和监测运动症状来帮助临床决策. 整合ML和惯性测量单位 (IMU) 对客观患者护理有希望,但需要更多的临床翻译.
科学领域:
- 生物医学工程 生物医学工程
- 医疗信息学 医疗信息学
- 康复技术 康复技术 康复技术
背景情况:
- 可穿戴的惯性传感器与机器学习 (ML) 结合,为临床决策提供了新的方法.
- 在过去的十年中,在医疗保健应用中整合ML和惯性测量单位 (IMU) 方面取得了重大进展.
- 了解当前的趋势,优势和局限性对于推动这一领域的发展至关重要.
结论:
- ML和可穿戴惯性传感器的整合具有客观临床决策和患者护理的巨大潜力.
- 尽管取得了进展,但在将这些技术转化为常规临床实践方面仍然存在差距.
- 技术人员和医疗专业人员之间的加强合作对于未来的成功至关重要.
相关概念视频
01:17Classification of Illness
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe and...
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe and...
01:18Steps in Outbreak Investigation
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis: