IoT‐Enabled Effective Healthcare Monitoring System Using Semantic Web

Juneja, Sapna; Juneja, Abhinav; Dhankhar, Annu; Jain, Vishal

doi:10.1002/9781119764175.ch8

Cited by 5 publications

(3 citation statements)

References 28 publications

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“…A pressure relief valve, as shown in Figure 2, operates based on a pre-configured pressure value to return the hydraulic fluid into the hydraulic tank once the press operation has been performed. This operation runs in sequence and is known as the loading and unloading cycle [59]. Loading means press operation is executed and during this time the hydraulic pump motor draws maximum current or electrical power.…”

Section: Methodsmentioning

confidence: 99%

Energy Saving Implementation in Hydraulic Press Using Industrial Internet of Things (IIoT)

Sumit

Gupta

Juneja³

et al. 2022

Electronics

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With the growing cost of electrical energy, the necessity of energy-saving implementation in industries based on energy audits has become a major focus area. Energy audit results indicate energy-saving potential in an application and require the physical presence of the auditor’s team for monitoring and analyzing the energy consumption data. The use of Industrial Internet of Things (IIoT) for remote data monitoring and analysis is growing and new industrial applications based on IIoT are being developed and used by various industrial sectors. Possibilities of a mixed method of physical and remote energy audit using IIoT in industrial applications and its advantages as proposed in this research work needs to be explored. Existing hydraulic press machines running with direct online starter (DOL) can be run with variable speed drive (VSD) for energy saving but this requires an extensive energy audit. Key electrical and operational parameters of the hydraulic pump motor were monitored and analyzed remotely using IIoT in this research work by operating the hydraulic press with DOL and VSD motor control methods one by one. The input power factor of the hydraulic pump motor showed an improvement from 0.79 in DOL control to 0.9 in VSD control at different motor loads. The hydraulic pump motor starting current showed a reduction of 84% with VSD control. The hydraulic pump motor’s continuous current was reduced by 40% and 65% during the loading and unloading cycle, respectively, with VSD control. Electrical consumption was reduced by 24% as a result of operating the hydraulic pump motor at 35 Hz with VSD control without impacting the performance of the hydraulic press. These results indicated more efficient control by changing to VSD control in comparison with DOL control. A combination of physical and remote energy audits as performed in this research work using the proposed IIoT framework can be utilized for implementing energy saving in hydraulic presses thus motivating industries to adopt available more energy-efficient technologies at a faster pace.

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Section: Methodsmentioning

confidence: 99%

Energy Saving Implementation in Hydraulic Press Using Industrial Internet of Things (IIoT)

Sumit

Gupta

Juneja³

et al. 2022

Electronics

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“…Several investigations have exhibited relationships between critical web use and medical problems like high blood pressure [ 74 ]. Screen time has a clear connection with high blood pressure irrespective of the physique of any human.…”

Section: Proposed Modelmentioning

confidence: 99%

Analysis of IoT-Related Ergonomics-Based Healthcare Issues Using Analytic Hierarchy Process Methodology

Upadhyay¹,

Juneja²,

Muhammad

et al. 2022

Sensors

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The objective of the present work is for assessing ergonomics-based IoT (Internet of Things) related healthcare issues with the use of a popular multi-criteria decision-making technique named the analytic hierarchy process (AHP). Multiple criteria decision making (MCDM) is a technique that combines alternative performance across numerous contradicting, qualitative, and/or quantitative criteria, resulting in a solution requiring a consensus. The AHP is a flexible strategy for organizing and simplifying complex MCDM concerns by disassembling a compound decision problem into an ordered array of relational decision components (evaluation criteria, sub-criteria, and substitutions). A total of twelve IoT-related ergonomics-based healthcare issues have been recognized as Lumbago (lower backache), Cervicalgia (neck ache), shoulder pain; digital eye strain, hearing impairment, carpal tunnel syndrome; distress, exhaustion, depression; obesity, high blood pressure, hyperglycemia. “Distress” has proven itself the most critical IoT-related ergonomics-based healthcare issue, followed by obesity, depression, and exhaustion. These IoT-related ergonomics-based healthcare issues in four categories (excruciating issues, eye-ear-nerve issues, psychosocial issues, and persistent issues) have been compared and ranked. Based on calculated mathematical values, “psychosocial issues” have been ranked in the first position followed by “persistent issues” and “eye-ear-nerve issues”. In several industrial systems, the results may be of vital importance for increasing the efficiency of human force, particularly a human–computer interface for prolonged hours.

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“…Vikram Puri et al [48] suggested a decentralized healthcare architecture powered by artificial intelligence (AI) that accesses and authenticates Internet of Things (IoT) devices while also instilling confidence and transparency in patient health records. The applications of IoT in healthcare are defined by Juneja et al [49], as well as how these applications can be employed with various sensors. In an IoMT-enabled COVID-19 situation for patient home monitoring, Basudeb Bera et al [50] combined fog computing and blockchain technologies to create a more secure solution.…”

Section: Review: Iot or Iomt Including Covid-19mentioning

confidence: 99%

A Systematic Review and IoMT Based Big Data Framework for COVID-19 Prevention and Detection

et al. 2022

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The Internet of Medical Things (IoMT) is transforming modern healthcare systems by merging technological, economical, and social opportunities and has recently gained traction in the healthcare domain. The severely contagious respiratory syndrome coronavirus called COVID-19 has emerged as a severe threat to public health. COVID-19 is a highly infectious virus that is spread by person-to-person contact. Therefore, minimizing physical interactions between patients and medical healthcare workers is necessary. The significance of technology and its associated potential were fully explored and proven during the outbreak of COVID-19 in all domains of human life. Healthcare systems employ all modes of technology to facilitate the increasing number of COVID-19 patients. The need for remote healthcare was reemphasized, and many remote healthcare solutions were adopted. Various IoMT-based systems were proposed and implemented to support traditional healthcare systems with reaching the maximum number of people remotely. The objective of this research is twofold. First, a systematic literature review (SLR) is conducted to critically evaluate 76 articles on IoMT systems for different medical applications, especially for COVID-19 and other health sectors. Secondly, we briefly review IoMT frameworks and the role of IoMT-based technologies in COVID-19 and propose a framework, named ‘cov-AID’, that remotely monitors and diagnoses the disease. The proposed framework encompasses the benefits of IoMT sensors and extensive data analysis and prediction. Moreover, cov-AID also helps to identify COVID-19 outbreak regions and alerts people not to visit those locations to prevent the spread of infection. The cov-AID is a promising framework for dynamic patient monitoring, patient tracking, quick disease diagnosis, remote treatment, and prevention from spreading the virus to others. We also discuss potential challenges faced in adopting and applying big data technologies to combat COVID-19.

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IoT‐Enabled Effective Healthcare Monitoring System Using Semantic Web

Cited by 5 publications

References 28 publications

Energy Saving Implementation in Hydraulic Press Using Industrial Internet of Things (IIoT)

Energy Saving Implementation in Hydraulic Press Using Industrial Internet of Things (IIoT)

Analysis of IoT-Related Ergonomics-Based Healthcare Issues Using Analytic Hierarchy Process Methodology

A Systematic Review and IoMT Based Big Data Framework for COVID-19 Prevention and Detection

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