Postolache Octavian, Girão Pedro Silva, Postolache Gabriela, Gabriel Joaquim
Instituto de Telecomunicações AvRovisco Pais 1, 1049-001 Lisbon, Portugal.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:1917-20. doi: 10.1109/IEMBS.2011.6090542.
Unobtrusive monitoring of the cardio-respiratory and daily activity for wheelchair users became nowadays an important challenge, considering population aging phenomena and the increasing of the elderly with chronic diseases that affect their motion capabilities. This work reports the utilization of FMCW (frequency modulated continuous wave) Doppler radar sensors embedded in a manual wheelchair to measure the cardiac and respiratory activities and the physical activity of the wheelchair user. Another radar sensor is included in the system in order to quantify the motor activity through the wheelchair traveled distance, when the user performs the manual operation of the wheelchair. A conditioning circuit including active filters and a microcontroller based primary processing module was designed and implemented to deliver the information through Bluetooth communication protocol to an Android OS tablet computer. The main capabilities of the software developed using Android SDK and Java were the signal processing of Doppler radar measurement channel signals, graphical user interface, data storage and Wi-Fi data synchronization with remote physiological and physical activity database.
考虑到人口老龄化现象以及患有影响其运动能力的慢性疾病的老年人数量不断增加，对轮椅使用者的心肺功能和日常活动进行非侵入式监测已成为当今一项重要挑战。这项工作报告了嵌入手动轮椅中的调频连续波（FMCW）多普勒雷达传感器用于测量轮椅使用者的心脏和呼吸活动以及身体活动的情况。系统中还包含另一个雷达传感器，以便在用户手动操作轮椅时，通过轮椅行驶的距离来量化运动活动。设计并实现了一个包括有源滤波器和基于微控制器的初级处理模块的调理电路，以通过蓝牙通信协议将信息传输到安卓操作系统平板电脑。使用安卓软件开发工具包（Android SDK）和Java开发的软件的主要功能包括对多普勒雷达测量通道信号进行信号处理、图形用户界面、数据存储以及与远程生理和身体活动数据库进行Wi-Fi数据同步。
