Conceptualizing a Real-Time Remote Cardiac Health Monitoring System

2017 ◽  
pp. 160-193 ◽  
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.

Conceptualizing a Real-Time Remote Cardiac Health Monitoring System

2015 ◽  
pp. 1-34 ◽  
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.

scholarly journals A Real Time Implementation of an IOT based Vehicle Health Monitoring System

2021 ◽  
Vol 10 (3) ◽  
pp. 140-143
Author(s):  
Dr. Hirakjyoti Sarma ◽  
◽  
Dimpal Huzuri ◽  
Dr. Manoj Kumar Deka ◽  
◽  
...  
Keyword(s):  
Embedded System ◽  
Real Time ◽  
Monitoring System ◽  
Health Monitoring ◽  
Evaluation System ◽  
Health Condition ◽  
Primary Objective ◽  
Engine Oil ◽  
Sensor Faults ◽  
Health Monitoring System

This paper approaches an IoT based vehicle health monitoring system that is embedded for detecting the condition of a vehicle by monitoring the internal parameters such as heating rate, engine oil level and status of the CO of the vehicle. It is a real time vehicle health monitoring system is designed and developed to detect and identify the actuator and sensor faults created by automatically or manually by the user of the vehicle. Actually, Vehicles need repair after a certain interval of time and if are not repaired at fixed intervals, it can lead to loss of life of the persons travelling on it and there are many key issues which can affect the vehicle. So, the primary objective of this system is developing an IoT based embedded system that can detect the internal condition of a vehicle by evaluating the various parameters that are used to examine in the vehicle’s current health condition. In fact, this is a real time evaluation system that can be used for rapid condition screening. As a result, it provides all reliable information about the vehicle conditions. This IoT based system claims that it can detect and identify actuator and sensor faults with almost minimal detection latency even after lots of disturbances and uncertainties.

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

2018 ◽  
Vol 6 (24) ◽  
pp. 4043-4064 ◽  
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.

Time-Dependent Reliability Prediction of Bridge Member Based on MGPF and SHM Data

2016 ◽  
Vol 15 ◽  
pp. 119-132 ◽  
Author(s):  
Xue Ping Fan ◽  
Yue Fei Liu
Keyword(s):  
Particle Filter ◽  
Real Time ◽  
Dynamic Model ◽  
Health Monitoring ◽  
Structural Reliability ◽  
Filter Method ◽  
Dynamic Reliability ◽  
Reliability Indices ◽  
Distribution Parameters

In the long-term monitoring period, the structural health monitoring (SHM) system produces a huge amount of monitoring data. It becomes a very important thing that how to real-timely predict structural reliability indices from such huge number of monitored data. In this paper, To real-timely predict reliability of bridge members with real-time monitoring information, with the long-term mass monitored data of health monitoring system, the data-based dynamic model including observation equation and state equation is built, and then the mixed Gaussian particle filter (MGPF) is introduced. With particle filter method, Bayesian method and dynamic model, the posteriori distribution parameters of state variable and one-step forward prediction distribution parameters of monitored data are predicted. Through resampling technique, with MGPF, the prediction precision of dynamic model can generally increase. Based on the dynamic monitored data, the weights of resampled particles can be constantly updated. Therefore the problem of particle degradation is solved. Finally based on the real-time predicted distribution parameters, with the first order second moment (FOSM) method, the dynamic reliability of bridge member is predicted, and an actual example is provided to illustrate the application and feasibility of the proposed models and methods.

scholarly journals Bridge Displacement Estimation using Tiltmeter Data

2019 ◽  
Vol 5 (2) ◽  
pp. 105
Author(s):  
Raka Bagus Panuntun ◽  
Akhmad Aminullah ◽  
Bambang Suhendro ◽  
Panji Krisna Wardana
Keyword(s):  
Health Monitoring ◽  
Vertical Displacement ◽  
Health Condition ◽  
Displacement Sensor ◽  
Civil Structures ◽  
Displacement Estimation ◽  
Health Monitoring System ◽  
Bridge Span ◽  
Using Data

Structural Health Monitoring System (SHMS) works as an efficient platform for monitoring health condition and and deterioration of civil structures during long-term service periods. One of the sensors is currently applied to Soekarno Bridge is tiltmeter. Vertical displacement data are often required to reflect the overall response of bridge span, however the Soekarno Bridge does not have any displacement sensor. On the other hand, the displacement sensor is very costly compared to tiltmeter. A method is proposed to estimate bridge displacement using data that is collected through tiltmeter. The method is using interpolation and numerical integration to evaluate the displacement. The result shows that the result obtained from the proposed method is reliable with accuracy of displacement around 5 mm. Some recommendations for further implementation of the sensors are provided.

Design on Monitoring Watch for Arrhythmia

2013 ◽  
Vol 749 ◽  
pp. 273-276
Author(s):  
Wan Ping Sun ◽  
Yu Ying Zhang ◽  
Ming Di Wang
Keyword(s):  
Real Time ◽  
Medical Personnel ◽  
Dynamic Monitoring ◽  
Real Time Monitoring ◽  
Time Dynamic ◽  
Equipment Operation ◽  
Medical Institutions ◽  
Result Analysis ◽  
Arrhythmia Prevention

The widely crowd occurred arrhythmia. Studies have shown that more than 90% patients who suffer from sudden cardiac death has arrhythmia. Therefore, the real-time monitoring of arrhythmia is of great value for cardiovascular disease prevention, treatment and prognosis. Arrhythmia is now usually detected by electrocardiogram, echocardiogram, Holter monitor, etc. Such equipments are relatively expensive, and equipment operation and result analysis need to do by professional medical personnel of medical institutions. These equipments are not suitable for household use and long-term real-time monitoring. Therefore, a portable monitoring watch for arrhythmia with real-time dynamic monitoring is designed in this paper. Not only can the watch detect the occurrence of asymptomatic arrhythmia and the time point of arrhythmia, but also can analysis and diagnosed the kind of arrhythmia. So it has important application value for arrhythmia prevention and treatment.

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