使用 LabVIEW 的物联网实时低成本心脏监护仪

Govindaraj S, Dhikshana G, Jagan S, Keerthana A, Leena A.S
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摘要

物联网(IoT)和医疗技术的飞速发展为创新医疗解决方案铺平了道路。该系统通过物联网连接实现远程监控、数据收集和分析,从而加强了患者护理和医疗决策。医院使用心脏监测系统测量和记录心脏参数。生命参数通过 Wi-Fi 或蓝牙在医院内传输。这种无线通信的传输范围仅在医院内有效,进一步的远距离传输受到限制。拟议的心脏监测系统是利用多功能图形用户界面(GUI)--LabVIEW 环境开发的。通过电极获取的数据连接到我的 DAQ 单元(数据采集单元),该单元有助于将电极与计算机或个人电脑集成。从软件获取的数据连接到 firebase 控制台,它将帮助从业人员共享实时更新的数据。它的优点包括:早期发现心律失常等心律不齐现象,缩短住院时间,改善患者预后。此外,医疗从业人员和护理人员还可以远程访问患者数据,及时采取干预措施和个性化治疗方案。由于心电监护仪经常在病人床边使用,可能会给病人带来褥疮。因此,除这些参数外,还可使用 DHT11(温湿度传感器)测量病人的体湿度和温度,以确保预防褥疮。这些额外的测量参数也可通过物联网查看。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IoT Enabled Real Time Low Cost Cardiac Monitor Using LabVIEW
The rapid advancement of the Internet of Things (IoT) and medical technology has paved the way for innovative healthcare solutions. The system incorporates IoT connectivity to enable remote monitoring, data collection, and analysis, enhancing patient care and medical decision making. Cardiac monitoring system used in hospitals to measure and record the cardiac parameters. Vital parameters are transferred within the hospitals either using Wi-Fi or Bluetooth. Range of transmission for such wireless communication is only effective within the hospitals and further transfer to a long distance is limited. The proposed cardiac monitoring system is developed using LabVIEW environment - a versatile Graphical User Interface (GUI). Data acquired through the electrodes are connected to my DAQ Unit (Data Acquisition Unit) which helps to integrate electrodes with computer or PC. Data acquired from the Software is connected to the firebase console and it will help the practitioners to share the data in live and updated. It offers benefits such as early detection of cardiac irregularities such as arrythmia, reduced hospitalization periods, and improved patient outcomes. Additionally, healthcare practitioners and caretakers can remotely access patient data, enabling timely interventions and personalized treatment plans. Since the cardiac monitors are often used by bedside patients, it may introduce bed sores in them. Hence, in addition to these parameters, body moisture level and temperature of the patient are measured using DHT11(temperature and humidity sensor) to ensure the prevention of bedsores. These additional parameters measured are also enabled to view through IoT.
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