Patients Health Monitoring System Using IOT

Senthilkumar, S.; Brindha, K.; Charanya, R; Kumar, Abishek

doi:10.5958/0976-5506.2019.00699.5

Cited by 14 publications

(19 citation statements)

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“…The data [12] is directly uploaded or sent to the android application using the smartwatch internet [14] by using SIM800L GSM module [6] [11] but it depends on the condition stated in the code. • If the data received from the machines is not health and requires attention first the data is uploaded to the cloud by using the internet [7] and through the android application the user (family) is immediately informed through a notification sent by the app about the concern and the problem detected.…”

Section: A Algorithm For Programming Atmega328mentioning

confidence: 99%

“… A user-friendly UI is developed which shows a real-time pulse rate measured by the pulse sensor and location using GPS NEO 6M module [7] [11].  It shows the latest reading taken through the blood pressure machine and the time and date of measurement.…”

Section: Fig 2 App Layoutmentioning

confidence: 99%

“… The RSI 0.96 inch 4 Pin OLEDD display module displays the time, date and day.  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].…”

Section: Smartwatchmentioning

confidence: 99%

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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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Section: A Algorithm For Programming Atmega328mentioning

confidence: 99%

Section: Fig 2 App Layoutmentioning

confidence: 99%

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Healthcare Smartwatch for Monitoring Elderly

Rawal*,

Gabrani*

2019

IJITEE

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“…All together for the highlights to be utilized by an AI calculation, the highlights are changed and put into Feature Vectors, which are vectors of numbers speaking to the incentive for each element a Vector Assembler is utilized to change and restore another Data Frame with the majority of the element sections in a vector segment [30].…”

Section: Performance Analysismentioning

confidence: 99%

Big Data for Transportations and Mobility- Recent Trend, Advance and Challenge

Deepa*,

Angulakshmi*,

Sudha*

et al. 2019

IJRTE

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In extensive scale Internet applications running on topographically disseminated datacenter's, for example, video gushing, it is critical to productively apportion demands among datacenters. To the best of our insight, existing methodologies, be that as it may, either exclusively center on limiting all out expense for supplier, or ensuring QOS for end-clients. In this task, we apply the product characterized organize (SDN) controller to empower the focal control of the whole system and propose a joint improvement model to consider high transfer speed use for supplier and low postponement for clients. We present the Nash bartering arrangement (NBS) based technique to show the two necessities of supplier's high transmission capacity use and end-clients' low postponement. In particular, we detail the plan of solicitation distribution under those necessities as an improvement issue, which is NP-hard. To take care of such hard improvement issue, we build up a proficient calculation mixing the upsides of Logarithmic Smoothing system and the assistant variable strategy. As per the hypothetical investigation, we confirm the presence and uniqueness of our answer and the union of our calculation. We direct a lot of trials dependent on certifiable remaining burden follows and exhibit the effectiveness of our calculation contrasted with both insatiable and area calculations.

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“…The previous studies conducted, have performed extensive research field of IoT implementation in healthcare and data storage. A basic patient monitoring system was designed to detect pulse rate and temperature and when these values are above the maximum threshold value, an SMS is sent via Wi-Fi to the caretaker [9,10]. In addition to pulse rate and temperature as the vital parameters, blood pressure and SpO2 were integrated into the device [11].…”

Section: Introductionmentioning

confidence: 99%

Integrated healthcare monitoring device for obese adults using internet of things (IoT)

Gupta¹,

Parikh²,

Swarnalatha³

2020

IJECE

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Obesity is a global epidemic, often considered an impending disaster for the world’s population. Healthcare organizations and professionals repeatedly emphasize the negative impacts on obesity in the development of cardiovascular diseases, hypertension and diabetes. The continuous monitoring of physiological parameters; namely SpO2, blood pressure, body temperature and pulse rate are imperative for obese adult patients. IoT is a dynamic field, used extensively in all fields: agriculture, automobile, manufacturing and retail industry primarily for automated remote real-time monitoring. This paper focuses on the implementation of IoT in the healthcare industry for monitoring and evaluating health conditions of obese adults, along with emphasis on the importance of medical data storage. Furthermore, a device is developed with a novel design and system, which not only allows real-time monitoring but also the storage of medical records for multiple patients simultaneously. The device facilitates measurements of these parameters using an Arduino environment and then transmits the data onto an IoT dashboard using a Wi-fi module for remote monitoring for healthcare professionals. The main aim is to provide a suitable device recommended by doctors for patients suffering from obesity, such that doctors can examine patient’s health trends over a period from the stored data for monitoring any changes that could be a symptom of an underlying unnoticed health condition.

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Patients Health Monitoring System Using IOT

Cited by 14 publications

References 0 publications

Healthcare Smartwatch for Monitoring Elderly

Healthcare Smartwatch for Monitoring Elderly

Big Data for Transportations and Mobility- Recent Trend, Advance and Challenge

Integrated healthcare monitoring device for obese adults using internet of things (IoT)

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