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Design of ultra-low power processer for human sensing

机译:人体感应超低功耗处理器的设计

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The declining birthrate, the aging society and lifestyle diseases such as heart disease and diabetes related to changes in the social environment have raised interest in safety, welfare and health care problems. In order to live healthily from these social problems, it is very important to observe our daily activity and physical condition continuously which we call “human sensing” with no assistance of others and to detect serious diseases at an early stage. It is also necessary that the system should be compact, long-term usable and sold at lower price for many people to make daily measurements without discomfort. We have been developing a small and low power MEMS (Micro Electromechanical Systems) devices and integrated circuits. And we aim to develop low power consumption devices, sensors and power generation devices from MEMS technologies for this system. In this study, we would discuss mainly the integrated circuit part which has an important role to control the whole system. Human sensing device aims to acquire five data that including ECG (Electrocardiogram), acceleration, atmospheric pressure, temperature, and humidity. However, ECG and acceleration can change quickly so that it requires higher sampling rate although other sensors are not required. The higher sampling rate increases power consumption because of a higher operation frequency. We have developed a special circuit that extracts valuable data such as the heart rate from the ECG, the maximum and minimum values of acceleration, and the number of steps from the acceleration with low power consumption. Moreover, we are designing analog front-end circuit and digital circuits such as MPU (Micro Processing Unit) and memory in one chip by using CMOS technology. These works enable long-term operation and miniaturization of the human monitoring system.
机译:出生率的下降,社会的衰老以及与社会环境变化有关的心脏病和糖尿病等生活方式疾病引起了人们对安全,福利和医疗保健问题的兴趣。为了从这些社会问题中健康地生活,非常重要的一点是连续观察我们的日常活动和身体状况,我们将其称为“人类感知”,而没有他人的帮助,并及早发现严重疾病。还必须使系统紧凑,可长期使用并以较低的价格出售,以使许多人每天进行测量而不会感到不适。我们一直在开发小型低功耗MEMS(微机电系统)设备和集成电路。我们的目标是利用MEMS技术为该系统开发低功耗设备,传感器和发电设备。在本研究中,我们将主要讨论对控制整个系统起重要作用的集成电路部分。人体感应设备旨在获取五个数据,包括ECG(心电图),加速度,大气压,温度和湿度。但是,尽管不需要其他传感器,但ECG和加速度可能会快速变化,因此需要更高的采样率。由于较高的工作频率,较高的采样率会增加功耗。我们开发了一种特殊的电路,可以从低功耗的心电图中提取有价值的数据,例如心电图的心率,加速度的最大值和最小值以及加速度的步数。此外,我们正在使用CMOS技术在一个芯片中设计模拟前端电路和数字电路,例如MPU(微处理单元)和存储器。这些工作使人类监控系统能够长期运行并实现小型化。

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