An IoT based Patient Health Monitoring System

Krishnan, D. Shiva Rama; Gupta, Subhash Chand; Choudhury, Tanupriya

doi:10.1109/icacce.2018.8441708

Cited by 98 publications

(26 citation statements)

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“…The same may be displayed in the front panel of the LMU and RMU through the gateway. Tables 1 and 2 present the confusion matrices for heart rate and blood pressure biological information acquired through the proposed HMDS and the existing SHCS-IoT [7], PHM [2] respectively. The confusion matrices are constructed for the samples of 24 numbers of patient's biological information such as heart rate and blood pressure.…”

Section: Experimental Setup and Resultsmentioning

confidence: 99%

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An efficient IoT based biomedical health monitoring and diagnosing system using myRIO

Rathy¹,

Sivasankar²,

Fadhil

2020

TELKOMNIKA

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With the growing and aging population, patient auto monitoring systems are becoming more popular. Smart sensors linked with the internet of things (IoT) make patients' auto monitoring system possible. Nowadays myRIO with LabVIEW is more popular for easy data acquisition, instrument control, and automation. This paper proposed myRIO and IoT based health monitoring and diagnosing system (HMDS) to acquire heartbeat rate, pulse, blood pressure (BP), temperature and activities of the patient using various smart sensors with more accuracy. The acquired raw data from the various sensors had been sent to the myRIO using ESP 8266 Wi-Fi module. The received raw data by the myRIO would be processed to the equivalent medical parameters using LabVIEW and the same might be transferred to the remote monitoring system (RMS) using cloud via a gateway. The abnormalities in the obtained data would be monitored and the diagnosis was made. The experimental setup was developed using various wearable sensors, ESP 8266, myRIO with LabVIEW and cloud with the gateway.

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Section: Experimental Setup and Resultsmentioning

confidence: 99%

“…Patient health monitoring (PHM) was proposed by [2] to prevent sudden death rates using sensors and their communication. In the work the patient's physiological parameters are continuously tracked and the same will be communicated to the family members in case of any emergency.…”

Section: Related Workmentioning

confidence: 99%

An efficient IoT based biomedical health monitoring and diagnosing system using myRIO

Rathy¹,

Sivasankar²,

Fadhil

2020

TELKOMNIKA

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“… It collects data from the pulse sensor and GPS NEO 6M module and uploads [7] it to the cloud using SIM800L GSM module [11] [14]. Thus, enables user to keep a track of pulse and location in real time [10] [15].  Reminds the elderly for medication [9] reminder.…”

Section: Smartwatchmentioning

confidence: 99%

“…This smartwatch together with the Bluetooth enabled blood pressure machine, diabetes machine and the android application helps in releasing tension from the family and moreover it will help in saving lives of the elderly people around the world by providing and analyzing the data at the right time. This smartwatch by using the pulse sensor provides real time [10] [15] heart rate which helps to detect cardiac arrest and predicts heart problems up to some accuracy by analyzing the data. Figure 6 shows the experimental data and the output carried out by the smart watch in accordance with the data values.…”

Section: Fig 5 Smartwatch Internal Componentsmentioning

confidence: 99%

Healthcare Smartwatch for Monitoring Elderly

Rawal*,

Gabrani*

2019

IJITEE

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According to the data provided by the Census in 2011, around 15 million elderly live alone in India. An NGO from Delhi named Agewell Foundation performed a survey on 10,000 elderly individuals and concluded that every fourth elderly that is 23.44% of the people who responded were living alone [1]. They also reported that around 88.5% felt the need of healthcare monitoring to ensure their independence. A lot of research work is going on to come up with a perfect solution to solve this problem and there are many computing devices which have been invented which solve the problem partially faced by elderly people. But none of them provide a solution which is convenient to use and which covers all aspects of the problem ranging from medicine reminders for elderly to proper maintaining of health records and it’s timely reporting to the doctor and family members even during emergencies such as a cardiac arrest. This paper proposes a neat solution to help monitor the daily reports of the elderly by automatically sending the data [12] (real-time [10][15] heart rate and current location measured by smartwatch; blood pressure measured by machine; sugar level measured by machine) to their family via android application and also provide 1st degree detection of cardiac arrest and prediction of heart problems up to some accuracy. It will provide medication [9] reminders to the elderly by three vibrations after an interval of 5 minutes during one course of medication and will also provide assistance during emergencies by sending an SOS call to the family or doctor. The smartwatch uses microcontroller ATmega328, SIM800L GSM module [11][14], RSI 0.96 inch 4 Pin OLED display module, HC-06 Bluetooth module, small LiPo battery, mini 1020 flat vibration motor, pulse sensor, GPS NEO 6M module [11], micro USB, button. This solution will not only help the elderly in rightly monitoring [8] their daily data [12] but also inform their family with their daily reports and any unusual changes. The smart watch acts as a care taker of the elderly people and it will be useful to the elderly who stay alone most of the time and it can even be used by others for proper maintaining of their health records, for medicine reminders and assistance during emergency conditions.

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“…Most of the work is based on sensors or wearable devices using which data can be collected, these samples are then compared with existing annotated corpus to predict the results [38], [39], [40]. On the other hand there are systems which make use of inbuilt sensors of mobile device and provide user interface to doctors and patients [34], [35], [36], [37]. User can post a text based query from mobile phone, these queries are processed with techniques such as bag-of-words, TF-IDF etc to identify and extract meaningful features, these features are compared with the existing dataset and using classification algorithms such as C4.5, SVM and back propagation, diseases can be predicted and treatments are suggested to the patients.…”

Section: B Iot In Healthcarementioning

confidence: 99%

Text Mining In Healthcare

2019

IJITEE

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In healthcare, data mining intensively and extensively becoming essential. Data mining applications can benefit all patients and the healthcare professionals. This paper starts with introducing data mining and the healthcare paradigm. This study confers various techniques of data mining in healthcare application domain. As the scope of the study is limited to text mining classification, state of art in particular to healthcare text mining classification is studied in detail with suggested improvements. Various issues and challenges owing to the type of data in healthcare are also discussed in detail with possible solutions. Finally, the paper highlights the need for personalized prescriptive systems for patients and healthcare professionals

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An IoT based Patient Health Monitoring System

Cited by 98 publications

References 0 publications

An efficient IoT based biomedical health monitoring and diagnosing system using myRIO

An efficient IoT based biomedical health monitoring and diagnosing system using myRIO

Healthcare Smartwatch for Monitoring Elderly

Text Mining In Healthcare

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