Free‐living monitoring of Parkinson's disease: Lessons from the field
Wearable technology comprises miniaturized sensors (eg, accelerometers) worn on the
body and/or paired with mobile devices (eg, smart phones) allowing continuous patient …
body and/or paired with mobile devices (eg, smart phones) allowing continuous patient …
Screen time and health indicators among children and youth: current evidence, limitations and future directions
Despite accumulating evidence linking screen-based sedentary behaviours (ie screen time)
with poorer health outcomes among children and youth< 18 years of age, the prevalence of …
with poorer health outcomes among children and youth< 18 years of age, the prevalence of …
Rethinking the Belmont report?
P Friesen, L Kearns, B Redman… - The American Journal of …, 2017 - Taylor & Francis
This article reflects on the relevance and applicability of the Belmont Report nearly four
decades after its original publication. In an exploration of criticisms that have been raised in …
decades after its original publication. In an exploration of criticisms that have been raised in …
Key indicators of ethical challenges in digital healthcare: A combined Delphi exploration and confirmative factor analysis approach with evidence from Khorasan …
Despite the undoubted benefits of digital healthcare, ethical challenges have become one of
the biggest concerns amongst academic scholars and digital healthcare experts. Despite the …
the biggest concerns amongst academic scholars and digital healthcare experts. Despite the …
A descriptive epidemiology of screen-based devices by children and adolescents: a sco** review of 130 surveillance studies since 2000
Excessive use of screen-based devices can be detrimental for child and adolescent health.
While epidemiological reviews have been focusing on traditional screen-based activities …
While epidemiological reviews have been focusing on traditional screen-based activities …
Image-assisted dietary assessment: a systematic review of the evidence
Images captured during eating episodes provide objective information to assist in the
assessment of dietary intake. Images are captured using handheld devices or wearable …
assessment of dietary intake. Images are captured using handheld devices or wearable …
Assessment of medication self-administration using artificial intelligence
Errors in medication self-administration (MSA) lead to poor treatment adherence, increased
hospitalizations and higher healthcare costs. These errors are particularly common when …
hospitalizations and higher healthcare costs. These errors are particularly common when …
Wearable cameras in health: the state of the art and future possibilities
The relationships between lifestyle behaviors and health outcomes usually are based on
self-reported data. Such data are prone to measurement error. In response, there has been …
self-reported data. Such data are prone to measurement error. In response, there has been …
Scalable crowd-sourcing of video from mobile devices
We propose a scalable Internet system for continuous collection of crowd-sourced video
from devices such as Google Glass. Our hybrid cloud architecture, GigaSight, is effectively a …
from devices such as Google Glass. Our hybrid cloud architecture, GigaSight, is effectively a …
Automatic food detection in egocentric images using artificial intelligence technology
ObjectiveTo develop an artificial intelligence (AI)-based algorithm which can automatically
detect food items from images acquired by an egocentric wearable camera for dietary …
detect food items from images acquired by an egocentric wearable camera for dietary …