Simpson Querry Institute, Northwestern University, Chicago, IL, USA.
Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA.
Nat Biomed Eng. 2020 Feb;4(2):148-158. doi: 10.1038/s41551-019-0480-6. Epub 2019 Nov 25.
Skin-mounted soft electronics that incorporate high-bandwidth triaxial accelerometers can capture broad classes of physiologically relevant information, including mechano-acoustic signatures of underlying body processes (such as those measured by a stethoscope) and precision kinematics of core-body motions. Here, we describe a wireless device designed to be conformally placed on the suprasternal notch for the continuous measurement of mechano-acoustic signals, from subtle vibrations of the skin at accelerations of around 10 m s to large motions of the entire body at about 10 m s, and at frequencies up to around 800 Hz. Because the measurements are a complex superposition of signals that arise from locomotion, body orientation, swallowing, respiration, cardiac activity, vocal-fold vibrations and other sources, we exploited frequency-domain analysis and machine learning to obtain-from human subjects during natural daily activities and exercise-real-time recordings of heart rate, respiration rate, energy intensity and other essential vital signs, as well as talking time and cadence, swallow counts and patterns, and other unconventional biomarkers. We also used the device in sleep laboratories and validated the measurements using polysomnography.
皮肤贴合式软电子产品，集成了高带宽三轴加速度计，可以捕获广泛的生理相关信息，包括身体内部过程的力声特征（如听诊器测量的特征）和核心身体运动的精确运动学。在这里，我们描述了一种无线设备，该设备旨在贴合胸骨上切迹，以连续测量力声信号，从加速度约为 10m/s 的皮肤细微振动到整个身体约 10m/s 的大运动，频率高达约 800Hz。由于测量结果是来自运动、身体姿势、吞咽、呼吸、心脏活动、声带振动和其他来源的信号的复杂叠加，我们利用频域分析和机器学习从人类受试者在自然日常活动和运动期间获得实时心率、呼吸率、能量强度和其他基本生命体征的记录，以及说话时间和节奏、吞咽次数和模式以及其他非常规生物标志物。我们还在睡眠实验室中使用了该设备，并使用多导睡眠图验证了这些测量结果。
