Early Detection of Mild Cognitive Impairment using Pervasive Sensing

Chowdhury, Arijit; Bhattacharya, Sakyajit; Ghose, Avik; Krishnan, Balasubramaniam

doi:10.1109/embc.2019.8856435

Cited by 4 publications

(5 citation statements)

References 12 publications

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“…The use of such sensors in the monitoring of chronic diseases is not a new concept, and existing projects have been met with success. Programs have been implemented to both track and facilitate activity in individuals with chronic disease and to monitor elderly populations to facilitate aging in place [18,[81][82][83][84][85]. These patient populations have benefitted largely from the volume of data collected to improve the quality of life for patients and to better describe malady in general.…”

Section: Discussionmentioning

confidence: 99%

“…Additionally, one particularly promising means by which psychiatric manifestations may be tracked is via activity and behavior changes. Sensors that can detect fine granularity changes in body pose, motion at seconds scale, and daily activities at minutes scale over time may elucidate psychiatric symptoms (though other symptom profiles may manifest in activity and behavior changes as well and thus need to be differentiated with high fidelity) [ 18 , 45 ]. These include wearable kinematic sensors or contactless depth sensors that can measure the coarse-grained 3-dimensional contours of surrounding objects, including the positional movement of users [ 46 , 47 ].…”

Section: Quantitatively Measurable Pasc Symptomsmentioning

confidence: 99%

“…Continuously monitoring sensors are already being implemented in the context of a multitude of chronic diseases including chronic obstructive pulmonary disease, asthma, congestive heart failure, and many more [16][17][18][19]. The use of such sensors in the context of PASC is an important tool for disease management.…”

Section: Introductionmentioning

confidence: 99%

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The Role of Unobtrusive Home-Based Continuous Sensing in the Management of Postacute Sequelae of SARS CoV-2

Corman¹,

Rajupet²,

Ye³

et al. 2022

J Med Internet Res

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Amid the COVID-19 pandemic, it has been reported that greater than 35% of patients with confirmed or suspected COVID-19 develop postacute sequelae of SARS CoV-2 (PASC). PASC is still a disease for which preliminary medical data are being collected—mostly measurements collected during hospital or clinical visits—and pathophysiological understanding is yet in its infancy. The disease is notable for its prevalence and its variable symptom presentation, and as such, management plans could be more holistically made if health care providers had access to unobtrusive home-based wearable and contactless continuous physiologic and physical sensor data. Such between-hospital or between-clinic data can quantitatively elucidate a majority of the temporal evolution of PASC symptoms. Although not universally of comparable accuracy to gold standard medical devices, home-deployed sensors offer great insights into the development and progression of PASC. Suitable sensors include those providing vital signs and activity measurements that correlate directly or by proxy to documented PASC symptoms. Such continuous, home-based data can give care providers contextualized information from which symptom exacerbation or relieving factors may be classified. Such data can also improve the collective academic understanding of PASC by providing temporally and activity-associated symptom cataloging. In this viewpoint, we make a case for the utilization of home-based continuous sensing that can serve as a foundation from which medical professionals and engineers may develop and pursue long-term mitigation strategies for PASC.

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Section: Discussionmentioning

confidence: 99%

Section: Quantitatively Measurable Pasc Symptomsmentioning

confidence: 99%

See 1 more Smart Citation

The Role of Unobtrusive Home-Based Continuous Sensing in the Management of Postacute Sequelae of SARS CoV-2

Corman¹,

Rajupet²,

Ye³

et al. 2022

J Med Internet Res

View full text Add to dashboard Cite

show abstract

Section: Discussionmentioning

confidence: 99%

The Role of Unobtrusive Home-Based Continuous Sensing in the Management of Postacute Sequelae of SARS CoV-2 (Preprint)

Corman¹,

Rajupet²,

Ye³

et al. 2021

Preprint

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UNSTRUCTURED Amid the COVID-19 pandemic, it has been reported that greater than 10% of patients with confirmed or suspected COVID-19 develop post-acute sequelae of SARS CoV-2 (PASC). PASC is still a disease for which preliminary medical data is being collected and pathophysiological understanding is yet in its infancy. The disease is notable for its prevalence and its variable symptom presentation and as such, diagnoses and management plans could be more holistically made if health care providers had access to unobtrusive continuous physiologic and physical sensor data at home. Such sensors would be able to provide vital sign and activity measurements that correlate directly or by proxy to documented PASC symptoms. These data can be collected at time points between hospital visits and can give care providers contextualized information from which symptom exacerbation or relieving factors may be classified. Such data can also improve the collective academic understanding of PASC by providing temporally and activity-associated symptom cataloging. In this viewpoint, we make a case for the utilization of sensor technologies that can serve as a foundation from which medical professionals and engineers may develop and pursue long-term mitigation strategies in conjunction with those ongoing in the acute setting.

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“…An additional important class of approaches, which has been applied in limited cases for AAL systems, are those that are based on unsupervised learning techniques. They can be applied for the clustering of large amounts of unlabelled data, grouping user behaviors, and detecting high-level variations without any prior knowledge or training phase [117,118]. This study has identified several clusters of options for data processing in AAL, depending on the complexity of the target.…”

Section: Methodologies For Data Analysismentioning

confidence: 99%

Ambient Assisted Living: A Review of Technologies, Methodologies and Future Perspectives for Healthy Aging of Population

Cicirelli

Marani

Petitti

et al. 2021

Sensors

125

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Over the last decade, there has been considerable and increasing interest in the development of Active and Assisted Living (AAL) systems to support independent living. The demographic change towards an aging population has introduced new challenges to today’s society from both an economic and societal standpoint. AAL can provide an arrary of solutions for improving the quality of life of individuals, for allowing people to live healthier and independently for longer, for helping people with disabilities, and for supporting caregivers and medical staff. A vast amount of literature exists on this topic, so this paper aims to provide a survey of the research and skills related to AAL systems. A comprehensive analysis is presented that addresses the main trends towards the development of AAL systems both from technological and methodological points of view and highlights the main issues that are worthy of further investigation.

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Early Detection of Mild Cognitive Impairment using Pervasive Sensing

Cited by 4 publications

References 12 publications

The Role of Unobtrusive Home-Based Continuous Sensing in the Management of Postacute Sequelae of SARS CoV-2

The Role of Unobtrusive Home-Based Continuous Sensing in the Management of Postacute Sequelae of SARS CoV-2

The Role of Unobtrusive Home-Based Continuous Sensing in the Management of Postacute Sequelae of SARS CoV-2 (Preprint)

Ambient Assisted Living: A Review of Technologies, Methodologies and Future Perspectives for Healthy Aging of Population

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