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

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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Towards multi-purpose IS radar experiments

Annales Geophysicae ◽

10.5194/angeo-26-2281-2008 ◽

2008 ◽

Vol 26 (8) ◽

pp. 2281-2289 ◽

Cited By ~ 2

Author(s):

I. I. Virtanen ◽

M. S. Lehtinen ◽

J. Vierinen

Keyword(s):

Real Time ◽

Data Storage ◽

Large Range ◽

Time Lag ◽

Estimation Accuracy ◽

Inversion Method ◽

Real Time Monitoring ◽

F Region ◽

D Region ◽

Profile Inversion

Abstract. The EISCAT incoherent scatter radars routinely perform simultaneous measurements of E- and F-regions of the ionosphere. In addition several experiments exist for measuring pulse-to-pulse correlations from the D-region. However, the D-region experiments have quite limited range extents and the short lags suffer from F-region echoes, which are difficult to properly handle with standard decoding methods. In this paper it is demonstrated with real data how D-region experiments can be designed to produce continuous lag profiles extending above the F-region maximum. The large range coverage is attained for all lags shorter than the longest transmission pulse and it allows one to properly include the F-region echoes in the analysis. The large coverage is not needed for pulse-to-pulse lags because E- and F-regions do not have this long correlation times. The lag profiles with large range extent also provide a useful measurement of the upper parts of the ionosphere. The experiments utilise new kind of phase coding technique, which has estimation accuracy comparable to that of alternating codes though the code sequence is very short. No special decoding method is applied to the codes, because the lag profile inversion method automatically adapts to any kind of transmission codes provided transmission samples are available. The computing resources needed for real-time lag profile inversion with two different kinds of goals are also discussed here: 1) real-time monitoring of the results and 2) use of inverted lag profiles as a way to permanently store the data. While it was possible to accomplish real-time monitoring with a standard high-end desktop workstation, the higher resolution requirement for permanent data storage purposes is a much more critical task, requiring the use of larger-scale parallel processing.

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Conceptualizing a Real-Time Remote Cardiac Health Monitoring System

Medical Imaging ◽

10.4018/978-1-5225-0571-6.ch007 ◽

2017 ◽

pp. 160-193 ◽

Cited By ~ 1

Author(s):

Alex Page ◽

Moeen Hassanalieragh ◽

Tolga Soyata ◽

Mehmet K. Aktas ◽

Burak Kantarci ◽

...

Keyword(s):

Real Time ◽

Health Monitoring ◽

Relevant Information ◽

Health Condition ◽

Limited Information ◽

Healthcare Organizations ◽

Concept System ◽

Cardiac Health ◽

Medical Institutions

In today's technology, even leading medical institutions diagnose their cardiac patients through ECG recordings obtained at healthcare organizations (HCO), which are costly to obtain and may miss significant clinically-relevant information. Existing long-term patient monitoring systems (e.g., Holter monitors) provide limited information about the evolution of deadly cardiac conditions and lack interactivity in case there is a sudden degradation in the patient's health condition. A standardized and scalable system does not currently exist to monitor an expanding set of patient vitals that a doctor can prescribe to monitor. The design of such a system will translate to significant healthcare savings as well as drastic improvements in diagnostic accuracy. In this chapter, we will propose a concept system for real-time remote cardiac health monitoring, based on available and emerging technologies today. We will analyze the details of such a system from acquisition to visualization of medical data.

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The Research on Hydraulic Components Data Monitoring and Management System Based on Network Real-Time Monitoring

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.457-458.745 ◽

2013 ◽

Vol 457-458 ◽

pp. 745-750

Author(s):

Qi Zhang ◽

Zhi Jing Zhang ◽

Xin Jin

Keyword(s):

Data Analysis ◽

Data Acquisition ◽

Real Time ◽

Data Storage ◽

Management System ◽

Analysis Data ◽

Data Monitoring ◽

Hydraulic Control ◽

Real Time Monitoring ◽

Data Acquisition Card

in order to improve the speed and accuracy of monitoring data of hydraulic components,improve the method and efficiency of data storage management, hydraulic components data monitoring and management system based on network real-time monitoring were researched.system uses the ADLINK PCI-9114 data acquisition card collecting signal the sensor transferring,then transfer the signal to the computer on the scene.Temperature,pressure,flow and other signal data acquisition,data analysis,data storage and alarm functions were realized through the LabVIEW software.The system also achieved real-time remote monitoring by B/S structure.Compared with the existing hydraulic control system,the system integrated data acquisition,data analysis,data storage and alarm function and realized the remote real-time monitoring,also have a good interface of humanization design.So it can be applied to the field of hydraulic components data acquisition.

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Wearable and flexible sensors for user-interactive health-monitoring devices

Journal of Materials Chemistry B ◽

10.1039/c8tb01063c ◽

2018 ◽

Vol 6 (24) ◽

pp. 4043-4064 ◽

Cited By ~ 95

Author(s):

Minjeong Ha ◽

Seongdong Lim ◽

Hyunhyub Ko

Keyword(s):

Real Time ◽

Health Monitoring ◽

Health Condition ◽

Personal Health ◽

Real Time Monitoring ◽

Flexible Sensors ◽

Interactive Health ◽

Personal Health Monitoring ◽

Monitoring Devices

The development of flexible and wearable healthcare devices facilitates a real-time monitoring of body activities as well as detecting various biosignals, which provided useful information to manage one's health condition for personal health monitoring.

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Conceptualizing a Real-Time Remote Cardiac Health Monitoring System

Advances in Wireless Technologies and Telecommunication - Enabling Real-Time Mobile Cloud Computing through Emerging Technologies ◽

10.4018/978-1-4666-8662-5.ch001 ◽

2015 ◽

pp. 1-34 ◽

Cited By ~ 5

Author(s):

Alex Page ◽

Moeen Hassanalieragh ◽

Tolga Soyata ◽

Mehmet K. Aktas ◽

Burak Kantarci ◽

...

Keyword(s):

Real Time ◽

Health Monitoring ◽

Relevant Information ◽

Health Condition ◽

Limited Information ◽

Healthcare Organizations ◽

Concept System ◽

Cardiac Health ◽

Medical Institutions

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Online Real-Time Monitoring System through Using Adaptive Angular-Velocity VKF Order Tracking

10.20944/preprints201809.0043.v1 ◽

2018 ◽

Author(s):

Ting-Chi Yeh ◽

Min-Chun Pan ◽

Duc Do Le

Keyword(s):

Angular Velocity ◽

Real Time ◽

Monitoring System ◽

Digital Signal Processor ◽

Digital Signal ◽

Health Condition ◽

Real Time Monitoring ◽

Theoretical Derivation ◽

Rotary Machine ◽

Order Tracking

When a rotary machine is running, from which the acquired vibro-acoustic signals enable to reveal its operation status and health condition. The study proposed a DSP-based adaptive angular-velocity Vold-Kalman filtering order tracking (AV2KF_OT) algorithm with an online real-time nature for signal interpretation and machine condition monitoring. Theoretical derivation and numerical implementation of computation schemes are briefly introduced. An online real-time monitoring system based on the AV2KF_OT algorithm, which was implemented through both a digital signal processor and a user interface coded by using LabVIEW, was developed. Two experimental tasks were applied to justify the proposed technique, including (i) the detection of startup on the fluid-induced whirl performed through a journal-bearing rotor rig, and (ii) the separation of close orders from the measured signals of a multifunction transmission-element ball-bearing bench.

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