IoT Services and Applications in Rehabilitation: An Interdisciplinary and Meta-Analysis Review

Gradim, Luma Carolina Câmara; José, Marcelo Archanjo; Cruz, Daniel Marinho Cezar da; Lopes, Roseli de Deus

doi:10.1109/tnsre.2020.3005616

Cited by 31 publications

(14 citation statements)

References 50 publications

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“…To achieve this systematic review, what was carried out in other systematic reviews was followed [12][13][14], and according to the PRISMA methodology, the following steps are followed: (i) research questions, (ii) sources of information, (iii) search strategy, (iv) eligibility criteria, (v) risk of bias, (vi) data extraction.…”

Section: Methodsmentioning

confidence: 99%

Lot Streaming in Different Types of Production Processes: A PRISMA Systematic Review

Salazar-Moya

García

2021

Designs

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At present, any industry that wanted to be considered a vanguard must be willing to improve itself, developing innovative techniques to generate a competitive advantage against its direct competitors. Hence, many methods are employed to optimize production processes, such as Lot Streaming, which consists of partitioning the productive lots into overlapping small batches to reduce the overall operating times known as Makespan, reducing the delivery time to the final customer. This work proposes carrying out a systematic review following the PRISMA methodology to the existing literature in indexed databases that demonstrates the application of Lot Streaming in the different production systems, giving the scientific community a strong consultation tool, useful to validate the different important elements in the definition of the Makespan reduction objectives and their applicability in the industry. Two hundred papers were identified on the subject of this study. After applying a group of eligibility criteria, 63 articles were analyzed, concluding that Lot Streaming can be applied in different types of industrial processes, always keeping the main objective of reducing Makespan, becoming an excellent improvement tool, thanks to the use of different optimization algorithms, attached to the reality of each industry.

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Section: Methodsmentioning

confidence: 99%

Lot Streaming in Different Types of Production Processes: A PRISMA Systematic Review

Salazar-Moya

García

2021

Designs

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“…This is especially beneficial to users who require flexibility and balance in their own work and personal responsibilities, alongside their contribution to academic research. In addition, the technological capability of connecting multiple people through internet enabled devices, termed the Internet of Things, has provided remote methods of user interaction with clinical and academic teams within the field of rehabilitation [53]. Advancements in technology have enabled such forms of engagement within research; however, there are people who are digitally excluded from such studies, based on internet and device accessibility, and digital literacy [54].…”

Section: Suggestions For the Fieldmentioning

confidence: 99%

Co-Creation Facilitates Translational Research on Upper Limb Prosthetics

et al. 2021

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People who either use an upper limb prosthesis and/or have used services provided by a prosthetic rehabilitation centre, hereafter called users, are yet to benefit from the fast-paced growth in academic knowledge within the field of upper limb prosthetics. Crucially over the past decade, research has acknowledged the limitations of conducting laboratory-based studies for clinical translation. This has led to an increase, albeit rather small, in trials that gather real-world user data. Multi-stakeholder collaboration is critical within such trials, especially between researchers, users, and clinicians, as well as policy makers, charity representatives, and industry specialists. This paper presents a co-creation model that enables researchers to collaborate with multiple stakeholders, including users, throughout the duration of a study. This approach can lead to a transition in defining the roles of stakeholders, such as users, from participants to co-researchers. This presents a scenario whereby the boundaries between research and participation become blurred and ethical considerations may become complex. However, the time and resources that are required to conduct co-creation within academia can lead to greater impact and benefit the people that the research aims to serve.

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“…The ones with higher levels of mobility impairments suffer from physical pain stemming from their condition and a lower quality of life, both debilitating to their mental health. To help them regain their independence, plenty of medical institutions provide motion monitoring and evaluation-based rehabilitation services, such as disease diagnosis and exercise training [ 1 , 2 ].…”

Section: Introductionmentioning

confidence: 99%

IMU-Based Monitoring for Assistive Diagnosis and Management of IoHT: A Review

Yerebakan

Dai

et al. 2022

Healthcare

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With the rapid development of Internet of Things (IoT) technologies, traditional disease diagnoses carried out in medical institutions can now be performed remotely at home or even ambient environments, yielding the concept of the Internet of Health Things (IoHT). Among the diverse IoHT applications, inertial measurement unit (IMU)-based systems play a significant role in the detection of diseases in many fields, such as neurological, musculoskeletal, and mental. However, traditional numerical interpretation methods have proven to be challenging to provide satisfying detection accuracies owing to the low quality of raw data, especially under strong electromagnetic interference (EMI). To address this issue, in recent years, machine learning (ML)-based techniques have been proposed to smartly map IMU-captured data on disease detection and progress. After a decade of development, the combination of IMUs and ML algorithms for assistive disease diagnosis has become a hot topic, with an increasing number of studies reported yearly. A systematic search was conducted in four databases covering the aforementioned topic for articles published in the past six years. Eighty-one articles were included and discussed concerning two aspects: different ML techniques and application scenarios. This review yielded the conclusion that, with the help of ML technology, IMUs can serve as a crucial element in disease diagnosis, severity assessment, characteristic estimation, and monitoring during the rehabilitation process. Furthermore, it summarizes the state-of-the-art, analyzes challenges, and provides foreseeable future trends for developing IMU-ML systems for IoHT.

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IoT Services and Applications in Rehabilitation: An Interdisciplinary and Meta-Analysis Review

Cited by 31 publications

References 50 publications

Lot Streaming in Different Types of Production Processes: A PRISMA Systematic Review

Lot Streaming in Different Types of Production Processes: A PRISMA Systematic Review

Co-Creation Facilitates Translational Research on Upper Limb Prosthetics

IMU-Based Monitoring for Assistive Diagnosis and Management of IoHT: A Review

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