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使用智能手机捕捉的皮肤位移进行吞功能障碍的非接触性评估
Nikyta Chesney1,2, Prashanna Khwaounjoo3, Maggie-Lee Huckabee2
1Department of Anatomy, University of Otago, Dunedin 9016, New Zealand.
Sensors (Basel, Switzerland)
|July 8, 2023
概括
这项研究表明,智能手机视频可以通过测量部运动来选消化不良 (吞困难). 这种非接触式方法与临床评估相关,改善了早期检测并减少了健康风险.
科学领域:
- 生物医学工程 生物医学工程
- 临床诊断 临床诊断 临床诊断
- 医疗成像医学成像
背景情况:
- 早期诊断失消症对于预防并发症和死亡率至关重要.
- 目前的消化障碍评估方法面临的障碍可能会限制有效性.
- 需要新的非接触性查工具来改善患者识别.
研究的目的:
- 评估使用iPhone X捕获的吞视频作为非接触性消化不良查工具的可行性.
- 探索智能手机衍生的生物机械吞参数和临床失足症严重程度指标之间的相关性.
- 建立一种用于检测吞后残留物和吸入事件的新方法.
主要方法:
- 在消化不良患者的视频光镜下,同时对前和侧进行视频录像.
- 使用基于阶段的萨维茨基-戈莱梯度相关性 (P-SG-GC) 算法对视频进行分析,以测量皮肤位移.
- 胆喉位移和速度的量化,以及与透吸收量 (PAS),正常化残留比率量 (NRRS) 和残留严重性评级 (RSR) 的相关性.
主要成果:
- 在前状腺外流/水平皮肤位移和20毫升玻尿酸吞之间存在强烈的相关性 (rs = 0.67).
- 在部皮肤位移和PAS (rs = 0.80),NRRS (rs = 0.41-0.62) 和RSR (rs = 0.33) 之间存在中等到非常强的相关性.
- 通过智能手机成像和图像记录,证明了识别吞后残留物和透吸收事件的能力.
结论:
- 智能手机拍摄的视频与图像注册相结合,提供了一种可行的非接触式方法来查缺食症.
- 这种方法提供了客观的生物力学数据,与已建立的临床吞评估相关.
- 通过可访问的技术来增强食障碍查,可以改善早期检测并减轻不良健康结果.
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