Výsledky vyhledávání - "Karunanithi, Mohanraj"

Akademický článek

A Smartphone App for Patients With Acute Coronary Syndrome (MoTER-ACS): User-Centered Design Approach

Autor: Bashi, Nazli, Varnfield, Marlien, Karunanithi, Mohanraj

Publikováno v: JMIR Formative Research, Vol 4, Iss 12, p e17542 (2020)

BackgroundPostdischarge interventions are limited for patients with acute coronary syndrome (ACS) due to few scheduled visits to outpatient clinics and the need to travel from remote areas. Smartphones have become viable lifestyle technology to deliv

Externí odkaz: https://doaj.org/article/2e69cd71f5e346559e2a38fe02cb54d5

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Akademický článek

The Effects of Telemonitoring on Patient Compliance With Self-Management Recommendations and Outcomes of the Innovative Telemonitoring Enhanced Care Program for Chronic Heart Failure: Randomized Controlled Trial

Autor: Ding, Hang, Jayasena, Rajiv, Chen, Sheau Huey, Maiorana, Andrew, Dowling, Alison, Layland, Jamie, Good, Norm, Karunanithi, Mohanraj, Edwards, Iain

Publikováno v: Journal of Medical Internet Research, Vol 22, Iss 7, p e17559 (2020)

BackgroundTelemonitoring enables care providers to remotely support outpatients in self-managing chronic heart failure (CHF), but the objective assessment of patient compliance with self-management recommendations has seldom been studied. ObjectiveT

Externí odkaz: https://doaj.org/article/77b8a9ef05d74b62ab6af054cc68fb41

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Akademický článek

Self-Management Education Through mHealth: Review of Strategies and Structures

Autor: Bashi, Nazli, Fatehi, Farhad, Fallah, Mina, Walters, Darren, Karunanithi, Mohanraj

Publikováno v: JMIR mHealth and uHealth, Vol 6, Iss 10, p e10771 (2018)

BackgroundDespite the plethora of evidence on mHealth interventions for patient education, there is a lack of information regarding their structures and delivery strategies. ObjectiveThis review aimed to investigate the structures and strategies of

Externí odkaz: https://doaj.org/article/0f0c65c5dea444f2b80fe8e97c993b56

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Continuous Gait Velocity Estimation using Houseohld Motion Detectors

Autor: Rana, Rajib, Austin, Daniel, Jacob, Peter G., Karunanithi, Mohanraj, Kaye, Jeffrey

Gait velocity has been consistently shown to be an important indicator and predictor of health status, especially in older adults. Gait velocity is often assessed clinically, but the assessments occur infrequently and thus do not allow optimal detect

Externí odkaz: http://arxiv.org/abs/1409.0938

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Gait Velocity Estimation using time interleaved between Consecutive Passive IR Sensor Activations

Autor: Rana, Rajib, Austin, Daniel, Jacobs, Peter G., Karunanithi, Mohanraj, Kaye, Jeffrey

Gait velocity has been consistently shown to be an important indicator and predictor of health status, especially in older adults. It is often assessed clinically, but the assessments occur infrequently and do not allow optimal detection of key healt

Externí odkaz: http://arxiv.org/abs/1310.4880

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