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SeisMote: A Multi-Sensor Wireless Platform for Cardiovascular Monitoring in Laboratory, Daily Life, and Telemedicine.
Sensors ( IF 3.4 ) Pub Date : 2020-01-26 , DOI: 10.3390/s20030680
Marco Di Rienzo 1 , Giovannibattista Rizzo 1 , Zeynep Melike Işılay 1 , Prospero Lombardi 1
Affiliation  

This article presents a new wearable platform, SeisMote, for the monitoring of cardiovascular function in controlled conditions and daily life. It consists of a wireless network of sensorized nodes providing simultaneous multiple measures of electrocardiogram (ECG), acceleration, rotational velocity, and photoplethysmogram (PPG) from different body areas. A custom low-power transmission protocol was developed to allow the concomitant real-time monitoring of 32 signals (16 bit @200 Hz) from up to 12 nodes with a jitter in the among-node time synchronization lower than 0.2 ms. The BluetoothLE protocol may be used when only a single node is needed. Data can also be collected in the off-line mode. Seismocardiogram and pulse transit times can be derived from the collected data to obtain additional information on cardiac mechanics and vascular characteristics. The employment of the system in the field showed recordings without data gaps caused by transmission errors, and the duration of each battery charge exceeded 16 h. The system is currently used to investigate strategies of hemodynamic regulation in different vascular districts (through a multisite assessment of ECG and PPG) and to study the propagation of precordial vibrations along the thorax. The single-node version is presently exploited to monitor cardiac patients during telerehabilitation.

中文翻译:


SeisMote:用于实验室、日常生活和远程医疗中心血管监测的多传感器无线平台。



本文介绍了一种新的可穿戴平台 SeisMote,用于在受控条件和日常生活中监测心血管功能。它由传感节点的无线网络组成,可同时测量不同身体部位的心电图 (ECG)、加速度、旋转速度和光电体积描记图 (PPG)。开发了一种定制的低功耗传输协议,允许同时实时监控来自多达 12 个节点的 32 个信号(16 位@200 Hz),节点间时间同步的抖动低于 0.2 毫秒。当仅需要单个节点时,可以使用BluetoothLE协议。也可以在离线模式下收集数据。可以从收集的数据中导出心震图和脉搏传导时间,以获得有关心脏力学和血管特征的附加信息。该系统在现场的使用显示,记录中没有因传输错误造成的数据间隙,并且每次电池充电的持续时间超过16小时。该系统目前用于研究不同血管区的血流动力学调节策略(通过心电图和 PPG 的多部位评估)并研究心前区振动沿胸部的传播。单节点版本目前用于在远程康复期间监测心脏病患者。
更新日期:2020-01-26
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