Internet of things for remote elderly monitoring: a study from user-centered perspective

Azimi, Iman; Rahmani, Amir M.; Liljeberg, Pasi; Tenhunen, Hannu

doi:10.1007/s12652-016-0387-y

Cited by 169 publications

(62 citation statements)

References 81 publications

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“…There are additional challenges to using technology to support ageing in place, including low rates of adoption by older people the cause of which has been explained as poor interface design, issues of privacy and trust (Yusif et al 2016) economic barriers and educational barriers (Wang et al 2016;Satariano et al 2014). A number of studies have proposed that future IoT development will require a more user centred and co-creative design approach (Azimi 2017;Gkouskos and Burgos 2017;Greenhalgh et al 2015;van Hoof et al 2011;Beringer et al 2011) and age appropriate designs (Pietzrak et al 2014). In addition to these considerations, more evaluation of IoT systems in the home of older people is needed (Peek et al 2014;Reeder et al 2013)).…”

Section: Technology and Ageing In Placementioning

confidence: 99%

Ageing in place and the internet of things – how smart home technologies, the built environment and caregiving intersect

Carnemolla

2018

Vis. in Eng.

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Smart technologies and the Internet of Things (IoT), have the potential to play a significant role in enabling older people to age in place. Although there has been substantial development of new applications of sensor technology in the home, this has tended to be tele-health focused, and there has been less work done on the role of IoT and ageing in place that more broadly considers caregiving and the built environment. Research in the field of IoT development and evaluation has recognised a number of challenges and limitations associated with past smart technology developments to support Ageing in Place, calling for user centeredness and better integration with broader systems. Compounding this, research into Ageing in Place and home environments has focused on built environments and largely ignored the impact of technology in the lives of older people staying at home. Recognising a gap in acknowledging the potential impact of technology on Ageing in Place theories, the purpose of this paper is to conceptualise a way of framing smart technology within an Ageing in Place model that acknowledges the interaction of smart technology with the built environment and caregiving and to present a framework for visualising the interactions that take place. A review of Environmental Gerontology model development is undertaken and a new model is presented that recognises the role of technology in Ageing in Place. Based on this model, a template is developed and three case studies of older people's experiences of smart home technology, home modifications and caregiving are mapped out. These are used to demonstrate "proof of concept" of the relationships put forward in the HAST model and the pre-curser for a template to help people map smart technology and its role in supporting caregiving and ageing in place. This paper's position is that technologies such as IoT further support the role of the built environment and caregiving to produce outcomes that enable older people to remain autonomous, independent, safe and well at home. However, a number of risks were also identified through the case studies, the issues of maintenance, cost and ease of use, and willingness to use are considerations and potential barriers to the benefits of smart technology.

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Section: Technology and Ageing In Placementioning

confidence: 99%

Ageing in place and the internet of things – how smart home technologies, the built environment and caregiving intersect

Carnemolla

2018

Vis. in Eng.

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“…Not only does remote health monitoring improve the quality of life of elderly patients, detects and notifies caregivers and providers of emergencies, reduces nursing care needs and hospital stays (e.g. health care cost reduction), it can predict and track disease processes such as heart attacks [28].…”

Section: The Internet Of Things and Disease Predictionmentioning

confidence: 99%

Big Data Analytics in Heart Attack Prediction

Alexander¹,

Wang²

2017

J Nurs Care

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Introduction: Acute myocardial infarction (heart attack) is one of the deadliest diseases patients face. The key to cardiovascular disease management is to evaluate large scores of datasets, compare and mine for information that can be used to predict, prevent, manage and treat chronic diseases such as heart attacks. Big Data analytics, known in the corporate world for its valuable use in controlling, contrasting and managing large datasets can be applied with much success to the prediction, prevention, management and treatment of cardiovascular disease. Data mining, visualization and Hadoop are technologies or tools of big data in mining the voluminous datasets for information.

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“…AAL and IoT healthcare related researches as well seems to be more focused on the assessment of the health conditions of the people under monitoring, their behavior (Eisa and Moreira 2017), the adherence to medical treatments (Roy et al 2017), patients' empowerment toward a more conscious healthy lifestyle (Grace et al 2017), or improving their self-sufficiency (Poncela et al 2019). Moreover, most of the studies reported in literature are targeted to the adult and elderly population (Azimi et al 2017), while very few studies foster the effects of smart environments or smart objects on children. A recent PubMed search 1 returned only one publication relevant in the area of pediatric rehabilitation (PR), describing a study where a small smart device has been attached to objects transforming them into computer simple mouse controllers (Szturm et al 2014).…”

Section: Introductionmentioning

confidence: 99%

From AAL to ambient assisted rehabilitation: a research pilot protocol based on smart objects and biofeedback

Meriggi

Mandalà

Brazzoli

et al. 2020

J Ambient Intell Human Comput

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The progressive miniaturization of electronic devices and their exponential increase in processing, storage and transmission capabilities, represent key factors of the current digital transformation, also sustaining the great development of Ambient Assisted Living (AAL) and the Internet of Things. Although most of the investigations in the recent years focused on remote monitoring and diagnostics, rehabilitation too could be positively affected by the widespread integrated use of these devices. Smart Objects in particular may be among the enablers to new quantitative approaches. In this paper, we present a proofof-concept and some preliminary results of an innovative pediatric rehabilitation protocol based on Smart Objects and biofeedback, which we administered to a sample of children with unilateral cerebral palsy. The novelty of the approach mainly consists in placing the sensing device into a common toy (a ball in our protocol) and using the information measured by the device to administer multimedia-enriched type of exercises, more engaging if compared to the usual rehabilitation activities used in clinical settings. We also introduce a couple of performance indexes, which could be helpful for a quantitative continuous evaluation of movements during the exercises. Even if the number of children involved and sessions performed are not suitable to assess any change in the subjects' abilities, nor to derive solid statistical inferences, the novel approach resulted very engaging and enjoyable by all the children participating in the study. Moreover, given the almost non-existent literature on the use of Smart Objects in pediatric rehabilitation, the few qualitative/quantitative results here reported may promote the scientific and clinical discussion regarding AAL solutions in a "Computer Assisted Rehabilitation" perspective, towards what can be defined "Pediatric Rehabilitation 2.0".

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Internet of things for remote elderly monitoring: a study from user-centered perspective

Cited by 169 publications

References 81 publications

Ageing in place and the internet of things – how smart home technologies, the built environment and caregiving intersect

Ageing in place and the internet of things – how smart home technologies, the built environment and caregiving intersect

Big Data Analytics in Heart Attack Prediction

From AAL to ambient assisted rehabilitation: a research pilot protocol based on smart objects and biofeedback

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