A Survey on Internet of Things and Cloud Computing for Healthcare

Dang, L. Minh; Piran, Md. Jalil; Han, Dongil; Min, Kyungbok; Moon, Hyeonjoon

doi:10.3390/electronics8070768

Cited by 464 publications

(245 citation statements)

References 152 publications

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“…In terms of delay, we compared our approach to similar proposals in terms of sending readings. The authors in [27] report an average delay of 33.96 s to receive it. In [26] a delay of about 32 s using SMS messages was found.…”

Section: Resultsmentioning

confidence: 99%

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An IoT-Based Glucose Monitoring Algorithm to Prevent Diabetes Complications

et al. 2020

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Diabetes mellitus (DM) is a metabolic disorder characterized by blood glucose levels above normal limits. The impact of this disease on the population has increased in recent years. It is already a public health problem worldwide and one of the leading causes of death. Recently, several proposals have been developed for better and regular monitoring of glucose. However, theses proposals do not discard erroneous readings and they are not able to anticipate a critical condition. In this work, we propose an algorithm based on the double moving average supported by an IoT architecture to prevent possible complications in elderly patients. The algorithm uses historical readings to construct a series. Given a number of periods, it is possible to calculate averages of different subsets and trends for the next periods and, in this way, the prognosis is obtained. With the prognosis, it is possible to notify the doctor and relatives in advance about a possible critical condition in the patient. The aim of our work is to validate the architecture and prognosis algorithm used for elderly persons. Tests of the algorithm and the architecture were performed with different readings and it was shown that the system generated corresponding notifications before the glucose values were higher than those defined by the WHO (World Health Organization), thus avoiding unnecessary alarms.

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Section: Resultsmentioning

confidence: 99%

“…The authors focused on appropriate transmission through SMS messages and the evaluation of the techniques used. In most cases, the drawbacks of traditional monitoring can be solved with this technology [27]. It is possible to use complex algorithms to perform the prognosis and to store data in the cloud.…”

Section: Related Workmentioning

confidence: 99%

An IoT-Based Glucose Monitoring Algorithm to Prevent Diabetes Complications

et al. 2020

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“…Therefore, the symbiosis between both ecosystems is highly profitable. An interesting example, in this case related to health issues, is shown in [12].…”

Section: Iot and Cloud-based Services In Analytical Chemistrymentioning

confidence: 99%

A New Application of Internet of Things and Cloud Services in Analytical Chemistry: Determination of Bicarbonate in Water

Capella

Bonastre

Ors

et al. 2019

Sensors

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In a constantly evolving world, new technologies such as Internet of Things (IoT) and cloud-based services offer great opportunities in many fields. In this paper we propose a new approach to the development of smart sensors using IoT and cloud computing, which open new interesting possibilities in analytical chemistry. According to IoT philosophy, these new sensors are able to integrate the generated data on the existing IoT platforms, so that information may be used whenever needed. Furthermore, the utilization of these technologies permits one to obtain sensors with significantly enhanced features using the information available in the cloud. To validate our new approach, a bicarbonate IoT-based smart sensor has been developed. A classical CO2 ion selective electrode (ISE) utilizes the pH information retrieved from the cloud and then provides an indirect measurement of bicarbonate concentration, which is offered to the cloud. The experimental data obtained are compared to those yielded by three other classical ISEs, with satisfactory results being achieved in most instances. Additionally, this methodology leads to lower-consumption, low-cost bicarbonate sensors capable of being employed within an IoT application, for instance in the continuous monitoring of HCO3− in rivers. Most importantly, this innovative application field of IoT and cloud approaches can be clearly perceived as an indicator for future developments over the short-term.

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“…A cloud server has more resources and more powerful computation ability. Cooperating with the cloud server, IoT devices can provide a better quality of services for users [2]. In a typical scenario of the IoT-based cloud computing environment as shown in Figure 1, IoT devices and sensors submit the IoT-releated data they collected to a cloud server via a wired/wireless network.…”

Section: Introductionmentioning

confidence: 99%

A Secure Authentication and Key Agreement Scheme for IoT-Based Cloud Computing Environment

Liang

Chu

2020

Symmetry

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The integration of Internet of things (IoT) and cloud computing technology has made our life more convenient in recent years. Cooperating with cloud computing, Internet of things can provide more efficient and practical services. People can accept IoT services via cloud servers anytime and anywhere in the IoT-based cloud computing environment. However, plenty of possible network attacks threaten the security of users and cloud servers. To implement effective access control and secure communication in the IoT-based cloud computing environment, identity authentication is essential. In 2016, He et al. put forward an anonymous authentication scheme, which is based on asymmetric cryptography. It is claimed that their scheme is capable of withstanding all kinds of known attacks and has good performance. However, their scheme has serious security weaknesses according to our cryptanalysis. The scheme is vulnerable to insider attack and DoS attack. For overcoming these weaknesses, we present an improved authentication and key agreement scheme for IoT-based cloud computing environment. The automated security verification (ProVerif), BAN-logic verification, and informal security analysis were performed. The results show that our proposed scheme is secure and can effectively resist all kinds of known attacks. Furthermore, compared with the original scheme in terms of security features and performance, our proposed scheme is feasible.

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A Survey on Internet of Things and Cloud Computing for Healthcare

Cited by 464 publications

References 152 publications

An IoT-Based Glucose Monitoring Algorithm to Prevent Diabetes Complications

An IoT-Based Glucose Monitoring Algorithm to Prevent Diabetes Complications

A New Application of Internet of Things and Cloud Services in Analytical Chemistry: Determination of Bicarbonate in Water

A Secure Authentication and Key Agreement Scheme for IoT-Based Cloud Computing Environment

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