Study of Health Monitoring System
14 Jun 2018-pp 1779-1784
TL;DR: Different approaches for health monitoring are revealed, which will reduce effort of people by automating the patient monitoring task which improves patient work flow management.
Abstract: Advancement in technology makes great efforts in health care system. Smart health monitoring will reduce effort of people by automating the patient monitoring task which improves patient work flow management. This study reviews enhancement in health care system. It focuses on portable, wearable and android technology based health monitoring system. This study reveals different approaches for health monitoring.
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Journal Article•
TL;DR: An ECG remote monitoring system that is dedicated to non-technical users in need of longterm health monitoring in residential environments and is integrated in a broader Internet of-Things (IoT) infrastructure.
Abstract: Many devices and solutions for remote ECG monitoring have been proposed in the literature. These solutions typically have a large marginal cost per added sensor and are not seamlessly integrated with other smart home solutions. Here we propose an ECG remote monitoring system that is dedicated to non-technical users in need of longterm health monitoring in residential environments and is integrated in a broader Internet of-Things (IoT) infrastructure. Our prototype consists of a complete vertical solution with a series of advantages with respect to the state of the art, considering both prototypes with integrated front end and prototypes realized with off-the-shelf components: i) ECG prototype sensors with record-low energy per effective number of quantized levels, ii) an architecture providing low marginal cost per added sensor/user, iii) the possibility of seamless integration with other smart home systems through a single internet-of-things
33 citations
TL;DR: A hierarchical classification approach that uses a large variety of features including but not limited to energy features like entropy and energy curve, physical features like centroid and bandwidth, image-based features like skewness extracted from multiple radar data domains and feature selection is used at each step of the hierarchical model.
Abstract: Radar-based classification of human activities and gait have attracted significant attention with a large number of approaches proposed in terms of features and classification algorithms. A common approach in activity classification attempts to find the algorithm (features plus classifier) that can deal with multiple activities analysed in one study such as walking, sitting, drinking and crawling. However, using the same set of features for multiple activities can be suboptimal per activity and not take into account the diversity of kinematic movements that could be captured by diverse features. In this paper, we propose a hierarchical classification approach that uses a large variety of features including but not limited to energy features like entropy and energy curve, physical features like centroid and bandwidth, image-based features like skewness extracted from multiple radar data domains. Feature selection is used at each step of the hierarchical model to select the best set of features to discriminate the target activity from the others, showing improvements with respect to the more conventional approach of using a multiclass model. The proposed approach is validated on a large dataset with 1078 recorded samples of varying length from 5 s to 10 s of experimental data, yielding 95.4% accuracy to classify six activities. The approach is also validated on a personnel recognition task to identify individual subjects from their walking gait, yielding 83.7% accuracy for ten subjects and 68.2% for a significantly larger group of subjects, i.e., 60 people.
20 citations
Cites background from "Study of Health Monitoring System"
...By monitoring the health parameters and activity patterns of the elderly and patients, the patient care and re-examination workflow management can be improved, increasing the efficiency and reducing the stress in healthcare systems [1]....
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TL;DR: In this article, the authors proposed an IoT-based cloud computing for patient health monitoring framework (IoT-CCPHM) for effective monitoring of the patients, where the collected data are used in the cloud database to evaluate the patient's health and the effects of all measures are stored.
Abstract: BACKGROUND Health monitoring is important for early disease diagnosis and will reduce the discomfort and treatment expenses, which is very relevant in terms of prevention. The early diagnosis and treatment of multiple conditions will improve solutions to the patient's healthcare radically. A concept model for the real-time patient tracking system is the primary goal of the method. The Internet of things (IoT) has made health systems accessible for programs based on the value of patient health. OBJECTIVE In this paper, the IoT-based cloud computing for patient health monitoring framework (IoT-CCPHM), has been proposed for effective monitoring of the patients. METHOD The emerging connected sensors and IoT devices monitor and test the cardiac speed, oxygen saturation percentage, body temperature, and patient's eye movement. The collected data are used in the cloud database to evaluate the patient's health, and the effects of all measures are stored. The IoT-CCPHM maintains that the medical record is processed in the cloud servers. RESULTS The experimental results show that patient health monitoring is a reliable way to improve health effectively.
7 citations
TL;DR: The main motive of this project is to come up with a Remote Health Monitoring System that will made with locally available sensors with a view to making it affordable for everyone.
Abstract: As the technology changing every year so, there have been an attempts to utilize the new technology in various areas to improve the quality of human life. One of the major field of research that has seen an adoption of the technology is the healthcare sector. As a result, our project is an attempt to solve a healthcare problem currently people are facing. The main objective of our project is to design a remote healthcare system. It covers of three main parts. The first part is, detection of patient’s condition with the proposed system, second is to storing data on cloud storage and the last part is to provide the data for remote viewing. Remote viewing of the data enables a doctor or guardian to monitor a patient’s health progress from anywhere. In this project, we have presented an IoT architecture customized for healthcare applications. The main motive of this project is to come up with a Remote Health Monitoring System that will made with locally available sensors with a view to making it affordable for everyone.
2 citations
References
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TL;DR: The analyses showed that the proposed real-time heart monitoring system is convenient and reliable and ensures data security at low cost, and is equipped to generate warning messages to the doctor and patient under critical circumstances.
Abstract: Online telemedicine systems are useful due to the possibility of timely and efficient healthcare services. These systems are based on advanced wireless and wearable sensor technologies. The rapid growth in technology has remarkably enhanced the scope of remote health monitoring systems. In this paper, a real-time heartmonitoring systemis developed considering the cost, ease of application, accuracy, and data security. The system is conceptualized to provide an interface between the doctor and the patients for two-way communication. The main purpose of this study is to facilitate the remote cardiac patients in getting latest healthcare services which might not be possible otherwise due to low doctor-to-patient ratio.The developed monitoring system is then evaluated for 40 individuals (aged between 18 and 66 years) using wearable sensors while holding an Android device (i.e., smartphone under supervision of the experts). The performance analysis shows that the proposed system is reliable and helpful due to high speed. The analyses showed that the proposed system is convenient and reliable and ensures data security at low cost. In addition, the developed system is equipped to generate warning messages to the doctor and patient under critical circumstances.
285 citations
TL;DR: An ECG remote monitoring system that is dedicated to non-technical users in need of long-term health monitoring in residential environments and is integrated in a broader Internet-of-Things (IoT) infrastructure.
Abstract: Many devices and solutions for remote electrocardiogram (ECG) monitoring have been proposed in the literature. These solutions typically have a large marginal cost per added sensor and are not seamlessly integrated with other smart home solutions. Here, we propose an ECG remote monitoring system that is dedicated to non-technical users in need of long-term health monitoring in residential environments and is integrated in a broader Internet-of-Things (IoT) infrastructure. Our prototype consists of a complete vertical solution with a series of advantages with respect to the state of the art, considering both the prototypes with integrated front end and prototypes realized with off-the-shelf components: 1) ECG prototype sensors with record-low energy per effective number of quantized levels; 2) an architecture providing low marginal cost per added sensor/user; and 3) the possibility of seamless integration with other smart home systems through a single IoT infrastructure.
159 citations
TL;DR: A new method to recognize a user’s activities of daily living with accelerometers and RFID sensor and applies this module to the health monitoring system for better practical use.
159 citations
"Study of Health Monitoring System" refers methods in this paper
...Yu Jin Hong et al. (2010) have collected data by using triaxial accelerometer, from 15 subjects....
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...Yu-Jin Hong et. al,2015 Activity of daily living For activity Bluetooth, Robust based on human recognition triaxial RFID High accurate motion and object accelerometer, recognition result. identification RFID for tracking recognition accuracy is 80% 5....
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TL;DR: The aim of this study is to build a new system to monitor heart activity through ECG signals using capacitive-coupled electrodes embedded in an armband that is considered to be a reliable, robust, and low-power-transmission ECG monitoring system.
Abstract: One of the best ways to obtain health information is from an electrocardiogram (ECG). Through an ECG, characteristics such as patients’ heartbeats, heart conditions, and heart disease can be analyzed. Unfortunately, most available healthcare devices do not provide clinical data such as information regarding patients’ heart activities. Many researchers have tried to solve this problem by inventing wearable heart monitoring systems with a chest strap or wristband, but their performances were not feasible for practical applications. Thus, the aim of this study is to build a new system to monitor heart activity through ECG signals. The proposed system consists of capacitive-coupled electrodes embedded in an armband. It is considered to be a reliable, robust, and low-power-transmission ECG monitoring system. The reliability of this system was achieved by the careful placement of sensors in the armband. Bluetooth low energy (BLE) was used as the protocol for data transmission; this protocol was proposed to develop the low-power-transmission system. For robustness, the proposed system is equipped with analysis capabilities–e.g., real-time heartbeat detection and a filter algorithm to ignore distractions from body movements or noise from the environment.
126 citations
TL;DR: Experimental results show that the proposed remote mobile health monitoring system can reliably monitor the physiologic parameters and conveniently report the user's position.
Abstract: A remote mobile health monitoring system with mobile phone and web service capabilities is proposed in this paper. It provides an end-to-end solution; specifically, (1) physiologic parameters, including respiration rate and heart rate, are measured by wearable sensors and recorded by a mobile phone which presents the graphical interface for the user to observe his/her health status more easily; (2) it provides doctors and family members with necessary data through a web interface and enables authorized personnel to monitor the patient’s condition and to facilitate remote diagnosis; and (3) it supports real-time alarming and positioning services during an urgent situation, such as a tumble or a heart attack, so that unexpected events can be handled in a timely manner. Experimental results show that the proposed system can reliably monitor the physiologic parameters and conveniently report the user’s position.
63 citations
"Study of Health Monitoring System" refers background in this paper
...Yunzhou Zhang et al,2015 System monitors Architecture Bluetooth 1....
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