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Smart wireless headphone for cardiovascular and stress monitoring

机译:用于心血管和压力监测的智能无线耳机

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Wearable technology has become ubiquitous in recent years due to the miniaturization of circuit electronics and advances in smart materials that can conform to the requirements posed by the human body, behaviour and experience. Sensors of this type are found attached almost to every body segment, capable of delivering signals even in harsh activity scenarios. The reliability and relevance of the physiological data retrieved by wearables have yet to surpass the conventional technologies in the healthcare system today. In this paper we present a small device incorporated inside an headphone set that continuously monitors the ECG, impedance and acceleration of the head. As opposed to most biometric sensors, ECG measurement relies on non-optical methods by capturing the electrical potential around the ear in both sides of the head, whereas impedance monitoring involves AC stimulation instead of DC, the latter commonly involved in skin galvanic response estimation. Signal processing of impedance parameters is performed in situ using a fast variant of the Discrete Fourier Transform in order to save computational resources and power expenditure from a microcontroller equipped with Bluetooth Low Energy. Applications that can benefit from this device include cardiovascular and stress level assessment of individuals for whom an hearable is a requirement for work or leisure.
机译:近年来,可穿戴技术已成为普遍存在的电路电子产品的小型化,智能材料的进步,可以符合人体,行为和经验所带来的要求。发现这种类型的传感器几乎连接到每个车身段,即使在恶劣的活动场景中也能够提供信号。可穿戴设备检索的生理数据的可靠性和相关性尚未超越当今医疗保健系统中的传统技术。在本文中,我们介绍了一个包含在耳机组内的小型设备,该耳机集中连续监控头部的ECG,阻抗和加速度。与大多数生物识别传感器相反,ECG测量通过在头部两侧捕获耳朵周围的电势依赖于非光学方法,而阻抗监测涉及交流刺激而不是DC,所在的后者常见于皮肤电流响应估计。使用离散傅里叶变换的快速变体以原位执行阻抗参数的信号处理,以便节省配备蓝牙低能量的微控制器的计算资源和功率消耗。可以从该设备中受益的应用程序包括心血管和压力水平评估个人的个人,可听见的是工作或休闲的要求。

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