Yoo Jae-Young, Oh Seyong, Shalish Wissam, Maeng Woo-Youl, Cerier Emily, Jeanne Emily, Chung Myung-Kun, Lv Shasha, Wu Yunyun, Yoo Seonggwang, Tzavelis Andreas, Trueb Jacob, Park Minsu, Jeong Hyoyoung, Okunzuwa Efe, Smilkova Slobodanka, Kim Gyeongwu, Kim Junha, Chung Gooyoon, Park Yoonseok, Banks Anthony, Xu Shuai, Sant'Anna Guilherme M, Weese-Mayer Debra E, Bharat Ankit, Rogers John A
Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA.
Division of Electrical Engineering, Hanyang University ERICA, Ansan, Republic of Korea.
Nat Med. 2023 Dec;29(12):3137-3148. doi: 10.1038/s41591-023-02637-5. Epub 2023 Nov 16.
The human body generates various forms of subtle, broadband acousto-mechanical signals that contain information on cardiorespiratory and gastrointestinal health with potential application for continuous physiological monitoring. Existing device options, ranging from digital stethoscopes to inertial measurement units, offer useful capabilities but have disadvantages such as restricted measurement locations that prevent continuous, longitudinal tracking and that constrain their use to controlled environments. Here we present a wireless, broadband acousto-mechanical sensing network that circumvents these limitations and provides information on processes including slow movements within the body, digestive activity, respiratory sounds and cardiac cycles, all with clinical grade accuracy and independent of artifacts from ambient sounds. This system can also perform spatiotemporal mapping of the dynamics of gastrointestinal processes and airflow into and out of the lungs. To demonstrate the capabilities of this system we used it to monitor constrained respiratory airflow and intestinal motility in neonates in the neonatal intensive care unit (n = 15), and to assess regional lung function in patients undergoing thoracic surgery (n = 55). This broadband acousto-mechanical sensing system holds the potential to help mitigate cardiorespiratory instability and manage disease progression in patients through continuous monitoring of physiological signals, in both the clinical and nonclinical setting.
人体会产生各种形式的微妙宽带声机械信号，这些信号包含有关心肺和胃肠道健康的信息，具有用于连续生理监测的潜在应用价值。现有的设备选项，从数字听诊器到惯性测量单元，都具备有用的功能，但也存在一些缺点，例如测量位置受限，这会妨碍连续的纵向跟踪，并将其使用限制在受控环境中。在此，我们展示了一种无线宽带声机械传感网络，该网络克服了这些限制，并提供有关身体内部缓慢运动、消化活动、呼吸音和心动周期等过程的信息，所有这些信息都具有临床级别的准确性，并且不受环境声音伪影的影响。该系统还可以对胃肠道过程和进出肺部的气流动力学进行时空映射。为了展示该系统的功能，我们使用它来监测新生儿重症监护病房中新生儿的受限呼吸气流和肠道蠕动（n = 15），并评估接受胸外科手术患者的区域肺功能（n = 55）。这种宽带声机械传感系统有潜力通过在临床和非临床环境中持续监测生理信号，帮助减轻患者的心肺不稳定并管理疾病进展。
