开发和可行性评估,用于远程监测肌痛严重症症状的多模式数字健康技术
Ram Kinker Mishra1, İlkay Yıldız Potter1, Ana Enriquez1
1BioSensics LLC, Newton, MA, USA.
Digital biomarkers
|December 1, 2025
概括
数字健康技术BioDigit MG可靠地使用语音,视频和可穿戴传感器监测肌痛性骨髓灰质炎 (MG) 症状. 患者和临床医生发现这项技术是可行的,并可接受未来的研究.
科学领域:
- 神经学 神经学
- 数字健康数字健康
- 生物医学工程 生物医学工程
背景情况:
- 骨髓灰质炎 (MG) 是一种慢性自身免疫神经肌肉疾病.
- 目前的面对面评估耗时,需要专家评估,并提供有限的疾病洞察力.
研究的目的:
- 开发和评估一种多式联络数字健康技术 (DHT),用于监测MG症状和测量疾病严重程度.
- 评估BioDigit MG系统的可行性和可接受性.
主要方法:
- 开发了BioDigit MG,一种DHT,包括平板电脑引导的语音和视频评估,电子患者报告的结果和可穿戴传感器.
- 对20名MG参与者进行了临床研究,以评估可行性和可接受性.
- 收集了语音任务,视频和体育活动数据,以及患者和临床医生的采访.
主要成果:
- 在语音和视频任务的数据收集和传输中实现了100%的可靠性.
- 参与者报告BioDigit MG是非常有效的,易于使用,并且适合他们的需求.
- 临床医生和患者都认为这项技术是可以接受的,有效且安全的数据传输.
结论:
- 生物数字MG展示了可靠的多式联运数据收集能力.
- DHT被MG患者和专家临床医生都接受得很好.
- 这些发现支持BioDigit MG在肌痛性骨髓灰质炎管理中进行大规模验证研究的潜力.
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