Early detection of Myocardial Infarction using WBAN

Advancements in medical science and technology, medicine and public health coupled with increased consciousness about nutrition and environmental and personal hygiene have paved the way for the dramatic increase in life expectancy globally in the past several decades. However, increased life expectancy has given rise to an increasing aging population, thus jeopardizing the socio-economic structure of many countries in terms of costs associated with elderly healthcare and wellbeing. In order to cope with the growing need for elderly healthcare services, it is essential to develop affordable, unobtrusive and easy-to-use healthcare solutions. Smart homes, which incorporate environmental and wearable medical sensors, actuators, and modern communication and information technologies, can enable continuous and remote monitoring of elderly health and wellbeing at a low cost. Smart homes may allow the elderly to stay in their comfortable home environments instead of expensive and limited healthcare facilities. Healthcare personnel can also keep track of the overall health condition of the elderly in real-time and provide feedback and support from distant facilities. In this paper, we have presented a comprehensive review on the state-of-the-art research and development in smart home based remote healthcare technologies.

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“…Myocardial Infarction (MI) can be reduced by monitoring episodic events and other abnormal conditions through WBAN technologies [ 34 ].…”

Section: Figurementioning

confidence: 99%

Smart Homes for Elderly Healthcare—Recent Advances and Research Challenges

Majumder

Aghayi

Noferesti

et al. 2017

Sensors

447

267

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“…One of the main applications of WBASNs is early detection of medical irregularities and symptoms. 108 Heart patients are also diagnosed with a portable ECG monitor called Holter monitor for a time period of 24-48 h. 109 Hadjem et al 107 propose a WBASN approach which detects MI early and in a real-time manner. To monitor cardiac activity in real-time, another wearable WBASN solution is provided in Khan et al 110 A wearable ECG monitor was developed as noted in Delano and Sodini 111 to provide long-term data collection and analysis.…”

Section: Medical Applicationsmentioning

confidence: 99%

Section: Applications Of Wbasnsmentioning

confidence: 99%

The state-of-the-art wireless body area sensor networks: A survey

Khan

Pathan

2018

International Journal of Distributed Sensor Networks

158

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Wireless body area sensor network is a sub-field of wireless sensor network. Wireless body area sensor network has come into existence after the development of wireless sensor network reached some level of maturity. This has become possible due to the tremendous technological advancement leading to easy-to-use wireless wearable technologies and electronic components that are small in size. Indeed, this field has gained significant attention in recent time due to its applications which mostly are toward healthcare sector. Today, tiny-sized sensors could be placed on the human body to record various physiological parameters and these sensors are capable of sending data to other devices so that further necessary actions could be taken. Hence, this can be used for diagnosis of disease and for developing serious healthcomplication alert systems. Considering this recent hot topic, the intent of this work is to present the state-of-the-art of various aspects of wireless body area sensor network, its communication architectures, wireless body area sensor network applications, programming frameworks, security issues, and energy-efficient routing protocols. We have tried to cover the latest advancements with some discussion on the available radio technologies for this type of network. Future visions and challenges in this area are also discussed.

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“…Finally, when developing artificial intelligence systems, it is important to consider the privacy concerns of elderly individuals. Senior citizens should be able to control and monitor their artificial intelligence devices, as well as view what their caretakers are seeing when the situation calls for it [16]. On the other hand, older people should have access to user options that protect their privacy, such as the capacity to see what others who are watching them are seeing.…”

Section: Introductionmentioning

confidence: 99%

The Design of a Wireless Network Home-Based Elderly Care System Based on Artificial Intelligence Technology and Its Impact on the Construction of the Social Security System

Zhang

2022

Wireless Communications and Mobile Computing

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Old age is the final stage in the life processes of a human being, and it is an age group comprising a segment of the oldest members of a population. During this phase of life, people need support and care. But in reality, due to changes in modern society, the elderly have to stay alone at home. Staying at old age homes is not possible for everyone. In current society, every member of the family has to work for a living and run the family. When this is the case, the elderly are left alone at home during the work hours of the other family members. In this research article, we are going to study the design of wireless network-based homes to ensure the safety and security of elderly people. Artificial intelligence (AI) is used to construct a safe and secure social system. In the current trend of smart homes, it is mandatory for people to install WSN-based home systems to take care of the elderly residents of their homes who stay alone for long periods of time. The home-based elderly care system is designed with the implementation of trending technologies like AI and WSN. The performance of the model is evaluated with the applied optimised neural network model and compared with the existing data summarization model. From the results, it can be seen that the proposed model has provided an accuracy of 98.89%, which is 4.77% higher than the proposed algorithm.

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Early detection of Myocardial Infarction using WBAN

Cited by 8 publications

References 12 publications

Smart Homes for Elderly Healthcare—Recent Advances and Research Challenges

Smart Homes for Elderly Healthcare—Recent Advances and Research Challenges

The state-of-the-art wireless body area sensor networks: A survey

The Design of a Wireless Network Home-Based Elderly Care System Based on Artificial Intelligence Technology and Its Impact on the Construction of the Social Security System

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