An IoT approach for integration of computational intelligence and wearable sensors for Parkinson’s disease diagnosis and monitoring

Romero, Luis; Chatterjee, Parag; Armentano, Ricardo L.

doi:10.1007/s12553-016-0148-0

Cited by 56 publications

(27 citation statements)

References 24 publications

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“…The domain of healthcare has been one of the fastest adopting sectors for IoT and AI (40)(41)(42)(43)(44)(45)(46)(47). Especially in the times of COVID-19 pandemic, the entire healthcare sector faced new challenges.…”

Section: Resultsmentioning

confidence: 99%

Internet of Things and Artificial Intelligence in Healthcare During COVID-19 Pandemic—A South American Perspective

Chatterjee

Tesis

Cymberknop

et al. 2020

Front. Public Health

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The shudders of the COVID-19 pandemic have projected newer challenges in the healthcare domain across the world. In South American scenario, severe issues and difficulties have been noticed in areas like patient consultations, remote monitoring, medical resources, healthcare personnel etc. This work is aimed at providing a holistic view to the digital healthcare during the times of COVID-19 pandemic in South America. It includes different initiatives like mobile apps, web-platforms and intelligent analyses toward early detection and overall healthcare management. In addition to discussing briefly the key issues toward extensive implementation of eHealth paradigms, this work also sheds light on some key aspects of Artificial Intelligence and the Internet of Things along their potential applications like clinical decision support systems and predictive risk modeling, especially in the direction of combating the emergent challenges due to the COVID-19 pandemic.

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Section: Resultsmentioning

confidence: 99%

Internet of Things and Artificial Intelligence in Healthcare During COVID-19 Pandemic—A South American Perspective

Chatterjee

Tesis

Cymberknop

et al. 2020

Front. Public Health

Self Cite

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“…The emergence of the Internet of Things (IoT) and its impact on wearables has been enabled by using or integrating to smart devices [119], facilitating frameworks for uHealth and independent living [120]. This generates large volumes of data where efficient management has been proposed by health-based infrastructures in the cloud.…”

Section: Existing Challenges Coupled With On-going Innovationmentioning

confidence: 99%

Wearables for independent living in older adults: Gait and falls

Godfrey

2017

Maturitas

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Solutions are needed to satisfy care demands of older adults to live independently. Wearable technology (wearables) are one approach to offer a viable means for ubiquitous, sustainable and scalable monitoring in habitual free-living environments. Gait has been presented as a relevant (bio) marker in ageing and pathological studies, with objective assessment achievable by inertial-based wearables. Commercial wearables have struggled to provide accurate analytics and have been limited by non-clinically oriented gait outcomes. Moreover, some research grade wearables also fail to provide transparent functionality due to limitations in proprietary software. Innovation within this field is often sporadic with large heterogeneity of wearable types and algorithms for gait outcomes leading to a lack of pragmatic use. This review provides a summary of recent wearable gait assessment literature, focusing on the need for an algorithm fusion approach to measurement cumulating in the ability to better detect and classify falls. A brief presentation of wearables in one pathological group is presented, identifying appropriate work for researchers in other cohorts to utilise. Opportunities for how this domain needs to progress are also summarised. Highlights• Wearables can meet older adults' needs for independent living.• Gait assessment is a (bio)marker within ageing and different pathologies.• Measuring gait with wearables has been innovative but fraught with inconsistencies.

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“…Next, Healthcare and E-Health related to IoT exhibited a sigmoid growth in a transitional phase, with a total of 180 documents, and India as the leading country with 20 publications. Different IoT technologies are applied in this area such as sensors [119], RFID [120][121][122][123], 6LoWPAN [124,125], and wearables [126,127]. The third most growth topic was energy efficiency with 154 documents, and China and Italy as leading countries with 18 and 17 publications, respectively.…”

Section: Applicationsmentioning

confidence: 99%

Internet of Things: A Scientometric Review

et al. 2017

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Abstract:Internet of Things (IoT) is connecting billions of devices to the Internet. These IoT devices chain sensing, computation, and communication techniques, which facilitates remote data collection and analysis. wireless sensor networks (WSN) connect sensing devices together on a local network, thereby eliminating wires, which generate a large number of samples, creating a big data challenge. This IoT paradigm has gained traction in recent years, yielding extensive research from an increasing variety of perspectives, including scientific reviews. These reviews cover surveys related to IoT vision, enabling technologies, applications, key features, co-word and cluster analysis, and future directions. Nevertheless, we lack an IoT scientometrics review that uses scientific databases to perform a quantitative analysis. This paper develops a scientometric review about IoT over a data set of 19,035 documents published over a period of 15 years (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016) in two main scientific databases (Clarivate Web of Science and Scopus). A Python script called ScientoPy was developed to perform quantitative analysis of this data set. This provides insight into research trends by investigating a lead author's country affiliation, most published authors, top research applications, communication protocols, software processing, hardware, operating systems, and trending topics. Furthermore, we evaluate the top trending IoT topics and the popular hardware and software platforms that are used to research these trends.

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An IoT approach for integration of computational intelligence and wearable sensors for Parkinson’s disease diagnosis and monitoring

Cited by 56 publications

References 24 publications

Internet of Things and Artificial Intelligence in Healthcare During COVID-19 Pandemic—A South American Perspective

Internet of Things and Artificial Intelligence in Healthcare During COVID-19 Pandemic—A South American Perspective

Wearables for independent living in older adults: Gait and falls

Internet of Things: A Scientometric Review

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