Smart and Automatic Health Monitoring of Patient Using Wireless Sensor Network

Hagargund, Asha G; Srivastav, Aman; Nayak, Chandan; Singh, Mausam Kumar

doi:10.1109/icccnt.2018.8494105

Cited by 7 publications

(5 citation statements)

References 14 publications

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“…Smart and automatic health monitoring of patient using wireless sensor network was realized by Asha G Hagargund et al [6]. This paper demonstrated that the patient carries a batch of body sensors to collect their physiological parameters using Arduino and wireless sensor network.…”

Section: Literature Reviewmentioning

confidence: 99%

Electro Cardiogram (ECG) Monitoring using Internet of Things and Predict Future in Advance using Artificial Intelligence

2023

5th ISSE National Conference (INAC-05) on Systems Approach for Self-Reliance in Advanced Technologies

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An IoT Based Electro cardiogram monitoring system will continue monitor the patient health condition related to heart and update immediately if any abnormality found in the patient health viz Wi-Fi to things peak application in mobile phone. The doctor located at remote location will monitor the situation accordingly and take appropriate decision, so that life time of the patient will be increased. In addition to it we may predict the health condition in advance using artificial intelligence. Based on patient health data we may produce trainee set and compare it with test set to estimate the variation in the health status and based on variation observed it may alert the doctor to indicate the early deterioration of patient health condition, so that we may arrest the growth of disease in advance. Here we are using ECG sensor to take the patient health data and it will be processed using Arduino board, Arduino microcontroller will compare the patient ECG with threshold limits, if it crosses lower or upper value it may alert the doctor. After processing it will transfer data to smart phone using Wi-Fi. Patient data will be continuously logged and it will be taken as trainee set and compared it with available test set to estimate the patient health condition in advance.

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Section: Literature Reviewmentioning

confidence: 99%

Electro Cardiogram (ECG) Monitoring using Internet of Things and Predict Future in Advance using Artificial Intelligence

2023

5th ISSE National Conference (INAC-05) on Systems Approach for Self-Reliance in Advanced Technologies

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“…[ 22 ] presented an algorithm to improve the data fusion process to record large patient vital signs data precisely, such as ECG, blood pressure, skin temperature, to name of a few. In [ 25 ], the authors used a wireless sensor network (WSN) to monitor patient vital signs data. Another study presented in [ 26 ] integrated IoT technology in the health monitoring system to monitor and observe the health condition of remote elderly patients.…”

Section: Related Workmentioning

confidence: 99%

“…These vital features include self-management support, type of application, the simulation of patients data, tasks level management including tasks allocation and tasks scheduling mechanisms, and optimization functionalities to provide reliable and cost-effective health care services. The existing IoT-based e-Health systems, such as H-IOT [ 8 ], PHMS [ 22 ], HAMS [ 24 ], WSN [ 25 ], VSM [ 43 ], and HI-IOT [ 61 ] are developed based on static tasks allocation and tasks scheduling mechanism to monitor patients vital signs data, which cause high latency, low throughput, and high tasks failure. All these existing IoT-based e-Health systems are not well structured to tackle high priority (emergent healthcare tasks) effectively and dynamically.…”

Section: Performance and Comparative Analysismentioning

confidence: 99%

A Scheduling Mechanism Based on Optimization Using IoT-Tasks Orchestration for Efficient Patient Health Monitoring

Iqbal

Imran

Ahmad

et al. 2021

Sensors

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Over the past years, numerous Internet of Things (IoT)-based healthcare systems have been developed to monitor patient health conditions, but these traditional systems do not adapt to constraints imposed by revolutionized IoT technology. IoT-based healthcare systems are considered mission-critical applications whose missing deadlines cause critical situations. For example, in patients with chronic diseases or other fatal diseases, a missed task could lead to fatalities. This study presents a smart patient health monitoring system (PHMS) based on an optimized scheduling mechanism using IoT-tasks orchestration architecture to monitor vital signs data of remote patients. The proposed smart PHMS consists of two core modules: a healthcare task scheduling based on optimization and optimization of healthcare services using a real-time IoT-based task orchestration architecture. First, an optimized time-constraint-aware scheduling mechanism using a real-time IoT-based task orchestration architecture is developed to generate autonomous healthcare tasks and effectively handle the deployment of emergent healthcare tasks. Second, an optimization module is developed to optimize the services of the e-Health industry based on objective functions. Furthermore, our study uses Libelium e-Health toolkit to monitors the physiological data of remote patients continuously. The experimental results reveal that an optimized scheduling mechanism reduces the tasks starvation by 14% and tasks failure by 17% compared to a conventional fair emergency first (FEF) scheduling mechanism. The performance analysis results demonstrate the effectiveness of the proposed system, and it suggests that the proposed solution can be an effective and sustainable solution towards monitoring patient’s vital signs data in the IoT-based e-Health domain.

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“…The formation of the Einthoven's triangle is shown in Figure 2. After these signals are received from the sensors, they are filtered of the noises using a control unit, and they are transferred to cloud storage through Wi-Fi modules or Bluetooth devices and can be viewed in mobile or web platforms [5].…”

Section: Introductionmentioning

confidence: 99%

Design and implementation of portable electrocardiogram recorder with field programmable gate arrays and IoT interface

Raj

Priya²,

Fernández³

2022

IJECE

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The electrical activities of the heart are used to monitor cardiovascular diseases. It can be measured using electrocardiogram (ECG), a simple, painless test that can be recorded graphically. The physician, to predict the patient’s heart conditions and recommend suitable treatments, uses electrodes placed on the patient’s skin surface, to record these signals. The P, Q, R, S, T waves in the ECG signal can be used to determine the normality and abnormality of the heart's condition. The time interval differs for each cardiovascular condition of the heart. In this work, the ECG signal is acquired real-time using an intelligent sensor module, and the recorded value is processed to find the peak values. The data is sent to the web serverusing internet of things technology at a minimal time, where the physician can view it and proper decision can be taken. The real-time ECG data acquisition is also made using the field programmable gate array kit as it is a low cost, high-speed device and the output is viewed in the computer. The developed model is validated through MATLAB software and implemented for real-time applications.

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Smart and Automatic Health Monitoring of Patient Using Wireless Sensor Network

Cited by 7 publications

References 14 publications

Electro Cardiogram (ECG) Monitoring using Internet of Things and Predict Future in Advance using Artificial Intelligence

Electro Cardiogram (ECG) Monitoring using Internet of Things and Predict Future in Advance using Artificial Intelligence

A Scheduling Mechanism Based on Optimization Using IoT-Tasks Orchestration for Efficient Patient Health Monitoring

Design and implementation of portable electrocardiogram recorder with field programmable gate arrays and IoT interface

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