Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Brunswick, Germany.
Department of Medical Informatics, University Medical Center Göttingen, Georg-August-Universität, Göttingen, Germany.
Stud Health Technol Inform. 2024 Aug 22;316:487-491. doi: 10.3233/SHTI240455.
Smart wearables support continuous monitoring of vital signs for early detection of deteriorating health. However, the devices and sensors require sufficient quality to produce meaningful signals, in particular, if data is acquired in motion. In this study, we equipped 48 subjects with smart shirts recording one-lead electrocardiography (ECG), thoracic and abdominal respiratory inductance plethysmography, and three-axis acceleration. For 10 min each, the subjects sit, stand, walk, and run, with a resting period of 5 min in between each activity. We preprocessed the electrocardiogram and applied a signal quality index. We analyzed the signal quality index grouped by the activity and participants. For sitting, standing, walking, and running, the ECG signals provide acceptable quality over 73.20 %, 91.85 %, 12.26 %, and 13.14 % of the recording time. In conclusion, smart wearables may be useful for continuous health monitoring of people with a sedentary lifestyle, but rather not for sportive activities.
智能可穿戴设备支持连续监测生命体征,以实现健康状况恶化的早期检测。然而,设备和传感器需要有足够的质量才能产生有意义的信号,特别是如果数据是在运动中采集的。在这项研究中,我们为 48 名受试者配备了智能衬衫,记录单导联心电图(ECG)、胸部和腹部呼吸感应体积描记法以及三轴加速度。每位受试者每次静坐、站立、行走和跑步 10 分钟,每次活动之间休息 5 分钟。我们对心电图进行了预处理,并应用了信号质量指数。我们根据活动和参与者对信号质量指数进行了分组分析。对于静坐、站立、行走和跑步,ECG 信号在记录时间的 73.20%、91.85%、12.26%和 13.14%以上提供了可接受的质量。总之,智能可穿戴设备可能对久坐不动的人的连续健康监测有用,但对于运动活动则不然。