Smart Healthcare in the Era of Internet-of-Things

Zhu, Hongxu; Wu, Chung Kit; Koo, Cheon Hoi; Tsang, Yee Ting; Liu, Yucheng; Ran, Hao; Tsang, Kim-Fung

doi:10.1109/mce.2019.2923929

Cited by 117 publications

(36 citation statements)

References 10 publications

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“…Therefore in this paper, we are proposing a MEC based edge computing approach to satisfy the intrinsic technological requisites demanded by the novel contact-less and remote medical procedures for treating COVID-19 patients within a medical facility. This work extends the reach of MEC towards adaptability established by [8], assures the claims proposed by [9], [10] to mitigate COVID-19, and validates the utilization of edge computing in IoT systems as conceptualized in [11], [12] with MEC; while improving the feasibility of smart health solutions proposed in [2], [13], [14]. The Section II introduces three futuristic use cases that effectively establish contact-less operation, while the methodology to realize these initiatives with MEC is presented in Section III.…”

Section: Introductionsupporting

confidence: 72%

“…The novel requisites for e-Health type applications align with IoT service requirements of ubiquitous connectivity to cater data aggregation of wearable devices, Augmented Reality (AR) based surgery, and Virtual Reality (VR) based surgical training applications [2]. In addition, epidemic or pandemic threats of COVID-19, Ebola-2015, MERS-CoV-2012, H1N1-2009, and SARS-CoV-2003 have urged for robotic influence in the medical care and daily hospital activities; that can contribute in the areas of clinical care, logistics, and reconnaissance.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Novel MEC Based Approaches for Smart Hospitals to Combat COVID-19 Pandemic

Ranaweera

Liyanage

Jurcut

2021

IEEE Consumer Electron. Mag.

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Section: Introductionsupporting

confidence: 72%

Section: Introductionmentioning

confidence: 99%

Novel MEC Based Approaches for Smart Hospitals to Combat COVID-19 Pandemic

Ranaweera

Liyanage

Jurcut

2021

IEEE Consumer Electron. Mag.

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“…At this time, the problem of the optimal classification surface is transformed into the problem of minimizing W T · W under constraints. This is a strictly convex programming problem under inequality constraints, and there is a unique solution ( W ∗ , b ∗ ) [ 13 , 14 ]. To solve this problem, the Lagrangian function is usually defined as the objective function, and a i is the nonnegative Lagrangian coefficient.…”

Section: Methods For the Application Of Propofol In Oral And Maxillmentioning

confidence: 99%

Application of Propofol in Oral and Maxillofacial Surgery Anesthesia Based on Smart Medical Blockchain Technology

Liu

Zhu

2021

Journal of Healthcare Engineering

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The rapid development of intelligent computer technology has promoted the improvement of people’s living standards and the application of the entire intelligent system. In modern medicine, doctors use their accumulated experience and medical knowledge to diagnose diseases and draw conclusions. In order to effectively inherit the diagnosis experience accumulated by doctors, R&D personnel put forward the idea of using artificial intelligence technology to develop an intelligent auxiliary medical diagnosis system. Aiming at the abovementioned machine-learning problems in the medical field, this article mainly introduces the application research of propofol in oral and maxillofacial surgery anesthesia based on smart medical blockchain technology. This paper proposes a research method based on smart medical blockchain technology to assist propofol in oral and maxillofacial surgery anesthesia, including support vector machine data classification algorithm, decision tree data classification algorithm, and machine-learning-based LSTM neural network. Research experiments on the application of intelligent medical aid propofol in oral and maxillofacial surgery anesthesia are conducted. The experimental results in this paper show that the response time of the general business logic interface of the application system of propofol in oral and maxillofacial surgery anesthesia based on smart medical blockchain technology is about 41 milliseconds, which can better help doctors in anesthesia and related treatments.

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“…The representative device is Magic Leap [ 22 ].

where Pr[ C ] is the total amount of data transmission [ 23 , 24 ].

where W ij represents the final delayed power [ 25 ].…”

Section: Mental Trauma Counselingmentioning

confidence: 99%

Mitigating Psychological Trauma on Adult Burn Patients Based on Virtual Reality Technology of Smart Medical Treatment

Ren

Feng

et al. 2021

Journal of Healthcare Engineering

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Virtual reality (VR) is one of the hot spots in the computer network world in recent years, which has attracted more and more people’s attention. This study mainly explores the effect of mitigating the psychological trauma of adult burn patients based on the VR technology of smart medical treatment. First, the EEG data are sent to the data processing module through a wireless protocol; then, the data processing module denoises the EEG data and performs feature extraction and feedback parameter calculation; after that, these parameters will be sent to the VR interaction engine; based on this, these parameters change the VR scene to capture and reflect the physiological activities of the patient’s brain in real time; finally, the patient uses the VR scene content presented by the real-time feedback of the captured EEG signal as a guide to making self-adjustment in time, and the electrical signal of captured brain at this time is again transmitted to the next work cycle and continues to feed back and present new VR interactive scenes to guide and intervene in the patient’s self-regulation behavior. The VR feedback training module is responsible for receiving the characteristic data calculated from the EEG acquisition and processing module and converts it into parameter variables that control the VR intervention system. The system user adjusts the state according to the feedback information displayed in the VR scene and generates new EEG signals to promote the realization of self-adjustment. The biofeedback training based on EEG feeds back the intuitive EEG state to the patient, prompting them to learn how to realize self-regulation and achieve the purpose of adjusting the level of mental health. The degree of itching and pain in the VR treatment group was alleviated, and compared with the normal training treatment results, it was statistically significant ( P > 0.05 ). This study has a positive effect on the psychological intervention of patients with facial injuries.

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Smart Healthcare in the Era of Internet-of-Things

Cited by 117 publications

References 10 publications

Novel MEC Based Approaches for Smart Hospitals to Combat COVID-19 Pandemic

Novel MEC Based Approaches for Smart Hospitals to Combat COVID-19 Pandemic

Application of Propofol in Oral and Maxillofacial Surgery Anesthesia Based on Smart Medical Blockchain Technology

Mitigating Psychological Trauma on Adult Burn Patients Based on Virtual Reality Technology of Smart Medical Treatment

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