Free‐living monitoring of Parkinson's disease: Lessons from the field

S Del Din, A Godfrey, C Mazzà, S Lord… - Movement …, 2016 - Wiley Online Library
Wearable technology comprises miniaturized sensors (eg, accelerometers) worn on the
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

TJ Saunders, JK Vallance - Applied health economics and health policy, 2017 - Springer
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 …

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 …

Key indicators of ethical challenges in digital healthcare: A combined Delphi exploration and confirmative factor analysis approach with evidence from Khorasan …

M Rezaei, V Jafari-Sadeghi, D Cao… - … Forecasting and Social …, 2021 - Elsevier
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 …

Image-assisted dietary assessment: a systematic review of the evidence

L Gemming, J Utter, CN Mhurchu - Journal of the Academy of Nutrition and …, 2015 - Elsevier
Images captured during eating episodes provide objective information to assist in the
assessment of dietary intake. Images are captured using handheld devices or wearable …

A descriptive epidemiology of screen-based devices by children and adolescents: a scoping review of 130 surveillance studies since 2000

G Thomas, JA Bennie, K De Cocker, O Castro… - Child Indicators …, 2020 - Springer
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 …

[HTML][HTML] Assessment of medication self-administration using artificial intelligence

M Zhao, K Hoti, H Wang, A Raghu, D Katabi - Nature medicine, 2021 - nature.com
Errors in medication self-administration (MSA) lead to poor treatment adherence, increased
hospitalizations and higher healthcare costs. These errors are particularly common when …

Wearable cameras in health: the state of the art and future possibilities

AR Doherty, SE Hodges, AC King, AF Smeaton… - American journal of …, 2013 - Elsevier
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 …

Scalable crowd-sourcing of video from mobile devices

P Simoens, Y Xiao, P Pillai, Z Chen, K Ha… - Proceeding of the 11th …, 2013 - dl.acm.org
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 …

Automatic food detection in egocentric images using artificial intelligence technology

W Jia, Y Li, R Qu, T Baranowski, LE Burke… - Public health …, 2019 - cambridge.org
ObjectiveTo develop an artificial intelligence (AI)-based algorithm which can automatically
detect food items from images acquired by an egocentric wearable camera for dietary …