Towards Reliable Remote Healthcare Applications Using Combined Fuzzy Extraction

2010 ◽  
pp. 387-407 ◽  
Author(s):  
Jorge Guajardo ◽  
Muhammad Asim ◽  
Milan Petković
Keyword(s):  
Healthcare Applications ◽  
Remote Healthcare

Exploring the Applications of Machine Learning in Healthcare

2020 ◽  
Vol 10 (4) ◽  
pp. 458-472
Author(s):  
Tausifa Jan Saleem ◽  
Mohammad Ahsan Chishti
Keyword(s):  
Machine Learning ◽  
Disease Risk ◽  
Disease Diagnosis ◽  
Machine Intelligence ◽  
Healthcare Applications ◽  
Comprehensive Overview ◽  
Machine Learning Applications ◽  
Remote Healthcare ◽  
Healthcare Monitoring ◽  
Applications Of Machine Learning

The rapid progress in domains like machine learning, and big data has created plenty of opportunities in data-driven applications particularly healthcare. Incorporating machine intelligence in healthcare can result in breakthroughs like precise disease diagnosis, novel methods of treatment, remote healthcare monitoring, drug discovery, and curtailment in healthcare costs. The implementation of machine intelligence algorithms on the massive healthcare datasets is computationally expensive. However, consequential progress in computational power during recent years has facilitated the deployment of machine intelligence algorithms in healthcare applications. Motivated to explore these applications, this paper presents a review of research works dedicated to the implementation of machine learning on healthcare datasets. The studies that were conducted have been categorized into following groups (a) disease diagnosis and detection, (b) disease risk prediction, (c) health monitoring, (d) healthcare related discoveries, and (e) epidemic outbreak prediction. The objective of the research is to help the researchers in this field to get a comprehensive overview of the machine learning applications in healthcare. Apart from revealing the potential of machine learning in healthcare, this paper will serve as a motivation to foster advanced research in the domain of machine intelligence-driven healthcare.

scholarly journals On Cellular Networks Supporting Healthcare Remote Monitoring in IoT Scenarios

2021 ◽  
Vol 2 ◽  
Author(s):  
Andrea Petroni ◽  
Pierpaolo Salvo ◽  
Francesca Cuomo
Keyword(s):  
Cellular Networks ◽  
Remote Monitoring ◽  
Network Performance ◽  
Research Direction ◽  
Cellular Systems ◽  
Traffic Load ◽  
Physical Interaction ◽  
Healthcare Applications ◽  
Remote Healthcare ◽  
Healthcare Monitoring

In the next few years, fundamental technological transitions are expected both for wireless communications, soon resulting in the 5G era, and for the kind of pervasiveness that will be achieved thanks to the Internet of Things. The implementation of such new communication paradigms is expected to significantly revolutionize people’s lives, industry, commerce, and many daily activities. Healthcare applications are considered to be one of the most impacted industries. Sadly, in relation to the COVID-19 pandemic currently afflicting our society, health remote monitoring has become a fundamental and urgent application. The overcrowding of hospitals and medical facilities due to COVID-19, has unavoidably created delays and key issues in providing adequate medical assistance. In several cases, asymptomatic or light symptomatic COVID-19 patients have to be continuously monitored to prevent emergencies, and such an activity does not necessarily require hospitalization. Considering this research direction, this paper investigates the potentiality of cloud-based cellular networks to support remote healthcare monitoring applications implemented in accordance with the IoT paradigm, combined with future cellular systems. The idea is to conveniently replace the physical interaction between patients and doctors with a reliable virtual one, so that hospital services can be reserved for emergencies. Specifically, we investigate the feasibility and effectiveness of remote healthcare monitoring by evaluating its impact on the network performance. Furthermore, we discuss the potentiality of medical data compression and how it can be exploited to reduce the traffic load.

Mobility in Healthcare

2017 ◽  
pp. 782-810
Author(s):  
Güney Gürsel
Keyword(s):  
Information Systems ◽  
Mobile Devices ◽  
Healthcare Access ◽  
Scientific Research ◽  
Smart Phones ◽  
Mobile Technologies ◽  
Basic Information ◽  
Healthcare Applications ◽  
Healthcare Information ◽  
Remote Healthcare

Mobility is the blossoming technology of our era. Mobile devices, especially smart phones, tablets, phablets are becoming common, and they are being a part of us as we carry all the time with us. Business discovered the easy-to-reach-customer facility of mobility and companies focus on this area. Scientific research focused on this area as well. Using the facilities provided with all the time with us mobile devices, especially healthcare can gain tremendous advances and have already done in some applications. Remote healthcare, decreased costs, advanced healthcare access, prioritizing the patients, can be given as examples to the advances that have been gained. As the mobile healthcare applications becoming common, there exists a danger of abuse and misuse. The need for regulations has emerged. The purpose of this study is to give basic information and vision about the usage of mobility in medical domain to ease healthcare and make it more effective. The mobile technologies used in the healthcare information systems, together with the challenges, problems and regulations, is explained.

scholarly journals Adaptability Analysis of 6LoWPAN and RPL for Healthcare applications of Internet-of-Things

2021 ◽  
Vol 2 (2) ◽  
pp. 69-81
Author(s):  
Jayaram Hariharakrishnan ◽  
Bhalaji N
Keyword(s):  
Internet Of Things ◽  
Wearable Sensors ◽  
Geographical Area ◽  
Training Session ◽  
Medical Professionals ◽  
Human Beings ◽  
Healthcare Applications ◽  
Unexpected Death ◽  
Personal Training ◽  
Remote Healthcare

Ubiquitous Networks powered by Wireless Sensor Networks (WSN) is cutting across many technologies assisting day-to-day human activities. This technology confers the ability to sense and surmise the external environmental factors of various ecologies. Interconnection of these sensing devices for Machine to Machine (M2M) communication leads to the origination of Internet-of-Things (IoT). Recent advancements in the technology of Internet-of-Things guides the production of smart objects that can accomplish location, identification, connection and measurement of external factors. This leads to a new type of communication paradigm between objects and humans. One of the important problem due to the population explosion that can be addressed by IoT is the Healthcare of individual human beings. Remote health monitoring is one of the greatest technology exploited in medical professionals to keep a check on the patient’s important health factors periodically. This was done in a smaller geographical area before the era of IoT. As IoT can communicate to other Internet, This remote healthcare monitoring can now be applied over a wider geographical topology. This paper extensively analyses the performance of 6LoWPAN and RPL IoT for healthcare applications. This paper especially focuses on monitoring an athlete's thermoregulation. Also, a new technique to identify and train marathon athletes to the race topography has been proposed. In this technique, each athlete is fitted with wearable sensors in their body in the training session to monitor and analyze the thermoregulation process occurring during training. After a detailed analysis of the athletes’ thermoregulation process, personal training schedules are charted down according to variation in the thermoregulation process in each athlete. This technique helps to monitor each athlete’s progress personally with less number of coaches and medical professionals leading to the prevention of unexpected death of a healthy athlete.

NB-IoT for Healthcare

2021 ◽  
pp. 127-152
Author(s):  
Richa Rajesh Tengshe ◽  
Anindita Sahoo
Keyword(s):  
Health Care ◽  
Cloud Computing ◽  
The Internet ◽  
Application Domain ◽  
Healthcare Applications ◽  
Healthcare Needs ◽  
Remote Healthcare ◽  
Technological Developments ◽  
The Internet Of Things

The quality of the healthcare system is a significant contributor to a nation's economy. Technological developments in the internet of things (IoT), cloud computing, and wireless body area networks (WBAN) and their interaction have given a boost to healthcare as an application domain which seems to be very promising to improve the quality of health care. Long-range and ubiquitous deployment needs of healthcare can be very well handled by narrow band IoT (NB-IoT). NB-IoT has the potential to reduce power and bandwidth requirements. NB-IoT is a low power wide area (LPWA) version of IoT which has the potential to cater to remote healthcare needs. NB-IoT is preferred over other networks due to cost efficiency, longevity, security, and mature, wide-reaching networks. However, security is an unavoidable threat in any IoT network, so as in NB-IoT. In this chapter, the authors discuss the performance of NB-IoT for healthcare applications, the issues and challenges faced, and some of the solutions to countermeasure these problems.

Mobility in Healthcare

2019 ◽  
pp. 630-658
Author(s):  
Güney Gürsel
Keyword(s):  
Information Systems ◽  
Mobile Devices ◽  
Healthcare Access ◽  
Scientific Research ◽  
Smart Phones ◽  
Mobile Technologies ◽  
Basic Information ◽  
Healthcare Applications ◽  
Healthcare Information ◽  
Remote Healthcare

Mobility is the blossoming technology of our era. Mobile devices, especially smart phones, tablets, phablets are becoming common, and they are being a part of us as we carry all the time with us. Business discovered the easy-to-reach-customer facility of mobility and companies focus on this area. Scientific research focused on this area as well. Using the facilities provided with all the time with us mobile devices, especially healthcare can gain tremendous advances and have already done in some applications. Remote healthcare, decreased costs, advanced healthcare access, prioritizing the patients, can be given as examples to the advances that have been gained. As the mobile healthcare applications becoming common, there exists a danger of abuse and misuse. The need for regulations has emerged. The purpose of this study is to give basic information and vision about the usage of mobility in medical domain to ease healthcare and make it more effective. The mobile technologies used in the healthcare information systems, together with the challenges, problems and regulations, is explained.

scholarly journals Low-Cost Inkjet-Printed RFID Tag Antenna Design for Remote Healthcare Applications

2019 ◽  
Vol 3 (4) ◽  
pp. 261-268 ◽  
Author(s):  
Abubakar Sharif ◽  
Jun Ouyang ◽  
Yi Yan ◽  
Ali Raza ◽  
Muhammad Ali Imran ◽  
...  
Keyword(s):  
Low Cost ◽  
Antenna Design ◽  
Healthcare Applications ◽  
Rfid Tag ◽  
Remote Healthcare

scholarly journals A Video-Based Technique for Heart Rate and Eye Blinks Rate Estimation: A Potential Solution for Telemonitoring and Remote Healthcare

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1607
Author(s):  
Vincenzo Ronca ◽  
Andrea Giorgi ◽  
Dario Rossi ◽  
Antonello Di Florio ◽  
Gianluca Di Flumeri ◽  
...  
Keyword(s):  
Heart Rate ◽  
Resting State ◽  
Video Conferencing ◽  
Wearable Sensors ◽  
Objective Evaluation ◽  
Healthcare Applications ◽  
Laboratory Equipment ◽  
Eye Blinks ◽  
Remote Healthcare ◽  
Nominal Condition

Current telemedicine and remote healthcare applications foresee different interactions between the doctor and the patient relying on the use of commercial and medical wearable sensors and internet-based video conferencing platforms. Nevertheless, the existing applications necessarily require a contact between the patient and sensors for an objective evaluation of the patient’s state. The proposed study explored an innovative video-based solution for monitoring neurophysiological parameters of potential patients and assessing their mental state. In particular, we investigated the possibility to estimate the heart rate (HR) and eye blinks rate (EBR) of participants while performing laboratory tasks by mean of facial—video analysis. The objectives of the study were focused on: (i) assessing the effectiveness of the proposed technique in estimating the HR and EBR by comparing them with laboratory sensor-based measures and (ii) assessing the capability of the video—based technique in discriminating between the participant’s resting state (Nominal condition) and their active state (Non-nominal condition). The results demonstrated that the HR and EBR estimated through the facial—video technique or the laboratory equipment did not statistically differ (p > 0.1), and that these neurophysiological parameters allowed to discriminate between the Nominal and Non-nominal states (p < 0.02).

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