Data Reliability and Quality in Body Area Networks for Diabetes Monitoring

Huzooree, Geshwaree; Khedo, Kavi Kumar; Joonas, Noorjehan

doi:10.1007/978-3-030-00865-9_4

Cited by 11 publications

(5 citation statements)

References 83 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Antenna and RF systems embedded in wearables have also been researched as part of the Body Area Network (BAN) [146], where low-powered devices would be surface mounted on the clothing in a permanent location. Off-body, on-body, and in-body BANs are the three types of BAN [147,148]. The benefit of adopting self-powered systems [104,142] is that the enzymatic bio-fuel cells serve as self-powered sensing modules.…”

Section: Integration Of Wearable Sensormentioning

confidence: 99%

Comprehensive Review on Wearable Sweat-Glucose Sensors for Continuous Glucose Monitoring

Zafar

Channa

Jeoti

et al. 2022

Sensors

145

View full text Add to dashboard Cite

The incidence of diabetes is increasing at an alarming rate, and regular glucose monitoring is critical in order to manage diabetes. Currently, glucose in the body is measured by an invasive method of blood sugar testing. Blood glucose (BG) monitoring devices measure the amount of sugar in a small sample of blood, usually drawn from pricking the fingertip, and placed on a disposable test strip. Therefore, there is a need for non-invasive continuous glucose monitoring, which is possible using a sweat sensor-based approach. As sweat sensors have garnered much interest in recent years, this study attempts to summarize recent developments in non-invasive continuous glucose monitoring using sweat sensors based on different approaches with an emphasis on the devices that can potentially be integrated into a wearable platform. Numerous research entities have been developing wearable sensors for continuous blood glucose monitoring, however, there are no commercially viable, non-invasive glucose monitors on the market at the moment. This review article provides the state-of-the-art in sweat glucose monitoring, particularly keeping in sight the prospect of its commercialization. The challenges relating to sweat collection, sweat sample degradation, person to person sweat amount variation, various detection methods, and their glucose detection sensitivity, and also the commercial viability are thoroughly covered.

show abstract

Section: Integration Of Wearable Sensormentioning

confidence: 99%

Comprehensive Review on Wearable Sweat-Glucose Sensors for Continuous Glucose Monitoring

Zafar

Channa

Jeoti

et al. 2022

Sensors

145

View full text Add to dashboard Cite

show abstract

“…Therefore, in WBAN, reliable and fault-free data to be transmitted to the medical database/server is required. If unreliable and faulty data is transferred to the server, medical professionals and doctors will ultimately make a wrong decision, which may cause a severe threat or even endanger the life of the patient [4]. In this context, reliability and fault-tolerance in WBANs applications are highly required.…”

Section: A High-level Descriptionmentioning

confidence: 99%

An Energy-Efficient and Cooperative Fault- Tolerant Communication Approach for Wireless Body Area Network

et al. 2020

View full text Add to dashboard Cite

The tremendous advancement in embedded systems, miniaturization, and wireless technology had allowed Wireless Body Area Networks (WBAN) to have overwhelming applications in e-healthcare, entertainment, sports/games training, etc. WBAN is a special type of wireless sensor network where bio-sensors are attached or embedded to a single human-body designed to connect various bio-sensors and applications, operate autonomously and observe different vital signs of a human body remotely. Despite its enormous benefits and applications, some of the key challenges in designing heterogeneous WBAN is their energy-efficiency, reliability, and fault-tolerance among the installed bio-sensors. Due to the criticality of services related to WBAN applications, it is imperative to have a high degree of reliability and fault-tolerance, especially in the case of health-care monitoring applications where continuous monitoring of patient's vital information is required for diagnosis. However, in health-care applications, interference and body fading occur, which affect the communication among nodes and gateway, which reduces the reliability and fault-tolerance of the network. To address these issues, in this paper, we have proposed an energy-efficient fault-tolerant scheme to improve the reliability of WBANs. The proposed scheme adopted the cooperative communication and network coding strategy to minimize channel impairment and body fading effect and hence reduces the ensued faults, bit error rate, and energy consumption. Based on the proposed scheme, a case study was designed for remote Sepsis monitoring. The system identifies tracking indicators using cooperative communication to reduce hospital re-admissions and mortality rates. The proposed scheme performance is also evaluated via extensive simulations using various metrics. From the results obtained, it is evident that the proposed scheme reduces energy consumption, delay, and bit error rate, thereby increasing the throughput and reliability in WBAN.

show abstract

“…In articles [19,33], the authors have discussed the data quality analytics frameworks to assess the quality of data received from the physiological sensors. These frameworks support data quality assessment based on the data quality metrics and rules.…”

Section: Background and Related Workmentioning

confidence: 99%

Web Objects Based Contextual Data Quality Assessment Model for Semantic Data Application

Jarwar

Chong²

2020

Applied Sciences

View full text Add to dashboard Cite

Due to the convergence of advanced technologies such as the Internet of Things, Artificial Intelligence, and Big Data, a healthcare platform accumulates data in a huge quantity from several heterogeneous sources. The adequate usage of this data may increase the impact of and improve the healthcare service quality; however, the quality of the data may be questionable. Assessing the quality of the data for the task in hand may reduce the associated risks, and increase the confidence of the data usability. To overcome the aforementioned challenges, this paper presents the web objects based contextual data quality assessment model with enhanced classification metric parameters. A semantic ontology of virtual objects, composite virtual objects, and services is also proposed for the parameterization of contextual data quality assessment of web objects data. The novelty of this article is the provision of contextual data quality assessment mechanisms at the data acquisition, assessment, and service level for the web objects enabled semantic data applications. To evaluate the proposed data quality assessment mechanism, web objects enabled affective stress and teens’ mood care semantic data applications are designed, and a deep data quality learning model is developed. The findings of the proposed approach reveal that, once a data quality assessment model is trained on web objects enabled healthcare semantic data, it could be used to classify the incoming data quality in various contextual data quality metric parameters. Moreover, the data quality assessment mechanism presented in this paper can be used to other application domains by incorporating data quality analysis requirements ontology.

show abstract

Data Reliability and Quality in Body Area Networks for Diabetes Monitoring

Cited by 11 publications

References 83 publications

Comprehensive Review on Wearable Sweat-Glucose Sensors for Continuous Glucose Monitoring

Comprehensive Review on Wearable Sweat-Glucose Sensors for Continuous Glucose Monitoring

An Energy-Efficient and Cooperative Fault- Tolerant Communication Approach for Wireless Body Area Network

Web Objects Based Contextual Data Quality Assessment Model for Semantic Data Application

Contact Info

Product

Resources

About