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A Wearable, Wireless, and Long Lifetime Device to Detect Sleep Disorder Diseases

机译:可穿戴,无线和长的终身设备来检测睡眠障碍疾病

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Sleep disorder disease (SDA) and sleep apnoeas are, at this moment, very common pathologies that affect at least 25% of the worldwide population. The method to investigate this disease is expensive, complicated, and needs hospitalization of patients. For these reasons, most cases remain undiagnosed. A comfortable wireless device has been designed to detect the main parameters of SDA as respiration rate (RR), time of apnea (TA), and activation of the autonomous central nervous system (SNA). The device consists of two simple sensors; a thermistor placed close to the nose, which detects the changing in airflow during breathing, and a galvanic skin response (GSR) sensor, which measures the conductivity of the skin. The information is extracted by a low power microcontroller, which calculates RR, TA and the activation of the SNA. The information is collected by a smartphone using the low energy Bluetooth feature to guarantee a long lifetime to the device that uses a small coin battery. Different algorithms are described to minimize the payload on the connection, and therefore power consumption too. The amount memory used to store data on the smartphone is approximately 0.01% compared to a continuous recording.
机译:睡眠障碍疾病(SDA)和睡眠呼吸暂停症是非常常见的病理,这些病理学影响了至少25%的全球人口。调查这种疾病的方法是昂贵的,复杂的,并且需要住院治疗患者。出于这些原因,大多数情况仍未令人未知。舒适的无线设备旨在检测SDA的主要参数作为呼吸速率(RR),呼吸暂停时间(TA),以及自主中枢神经系统(SNA)的激活。该设备由两个简单的传感器组成;热敏电阻靠近鼻子,检测呼吸期间气流的变化,以及衡量皮肤电导率的电流皮肤响应(GSR)传感器。该信息由低功耗微控制器提取,其计算RR,TA和SNA的激活。这些信息由智能手机采集使用低电平的蓝牙功能,以保证使用小硬币电池的设备的长寿时间。描述了不同的算法来最小化连接上的有效载荷,从而最小化电量。与连续录制相比,用于存储智能手机上数据的数量内存约为0.01%。

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