Improved Usability of IOT Devices in Healthcare Using Big Data Analysis

V. Kakulapati, Mahender Reddy S.
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Abstract

Sensor data takes the microcontroller and sends it to doctors through the wi-fi network and provides real-time healthcare parameter monitoring. The clinician can analyze the sensor generated information. Patients provide their measures to the arrangement and identify their fitness status without human intervention. In this chapter, MapReduce algorithm is used to identify the patient health status. The controller is connected with the signal to alert the attendee about dissimilarity in sensor output data. If the situation is sever, an alert message is sent to the doctor through the IOT devices that can provide quick provisional medication to the ill person. The system improves usability of medical devices with less power consumption, simple setup, and high performance and response.
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利用大数据分析提高医疗保健物联网设备的可用性
传感器数据通过微控制器通过wi-fi网络发送给医生,提供实时医疗参数监控。临床医生可以分析传感器产生的信息。患者在没有人为干预的情况下对安排提供自己的措施并确定自己的健康状况。本章使用MapReduce算法识别患者的健康状态。控制器与信号连接,以提醒与会者传感器输出数据的不一致。如果情况严重,则通过物联网设备向医生发送警报信息,从而为患者提供快速的临时药物。该系统具有功耗低、设置简单、性能高、响应快等优点,提高了医疗设备的可用性。
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