Tamantini Christian, Marra Fabrizio, Di Tocco Joshua, Di Modica Stefano, Lanata Antonio, Cordella Francesca, Ferrarin Maurizio, Rizzo Francesco, Stefanelli Mara, Papacchini Maddalena, Delle Site Corrado, Tamburrano Alessio, Massaroni Carlo, Schena Emiliano, Zollo Loredana, Sarto Maria Sabrina
Institute of Cognitive Sciences and Technologies, National Research Council of Italy, Rome, Italy.
Unit of Advanced Robotics and Human-Centred Technologies, Departmental Faculty of Engineering, Università Campus Bio-Medico di Roma, Rome, Italy.
Wearable Technol. 2025 May 2;6:e20. doi: 10.1017/wtc.2025.10. eCollection 2025.
The integration of wearable smart garments with multiple sensors has gained momentum, enabling real-time monitoring of users' vital parameters across various domains. This study presents the development and validation of an instrumented smart shirt for risk prevention in workplaces designed to enhance worker safety and well-being in occupational settings. The proposed smart shirt is equipped with sensors for collecting electrocardiogram, respiratory waveform, and acceleration data, with signal conditioning electronics and Bluetooth transmission to the mobile application. The mobile application sends the data to the cloud platform for subsequent Preventive Risk Index (PRI) extraction. The proposed SenseRisc system was validated with eight healthy participants during the execution of different physically exerting activities to assess the capability of the system to capture physiological parameters and estimate the PRI of the worker, and user subjective perception of the instrumented intelligent shirt.
集成多个传感器的可穿戴智能服装已蓬勃发展,能够跨多个领域实时监测用户的生命体征参数。本研究展示了一款用于工作场所风险预防的智能衬衫的开发与验证,旨在提高职业环境中工人的安全性和健康水平。所提出的智能衬衫配备了用于收集心电图、呼吸波形和加速度数据的传感器,以及信号调节电子设备和蓝牙传输功能,可将数据传输到移动应用程序。移动应用程序将数据发送到云平台,以便随后提取预防风险指数(PRI)。在八名健康参与者执行不同的体力活动期间,对所提出的SenseRisc系统进行了验证,以评估该系统捕获生理参数、估计工人PRI的能力,以及用户对该智能衬衫的主观感受。