[HTML][HTML] Metabolomics for the masses: The future of metabolomics in a personalized world

DK Trivedi, KA Hollywood, R Goodacre - New horizons in translational …, 2017‏ - Elsevier
Current clinical practices focus on a small number of biochemical directly related to the
pathophysiology with patients and thus only describe a very limited metabolome of a patient …

A comprehensive study of mobile-health based assistive technology for the healthcare of dementia and Alzheimer's disease (AD)

K Yousaf, Z Mehmood, IA Awan, T Saba… - Health Care …, 2020‏ - Springer
Assistive technology (AT) involvement in therapeutic treatment has provided simple and
efficient healthcare solutions to people. Within a short span of time, mobile health (mHealth) …

Cyber-physical systems as an enabler of circular economy to achieve sustainable development goals: A comprehensive review

AA Ahmed, MA Nazzal, BM Darras - International Journal of Precision …, 2021‏ - Springer
Industrialization has brought wealth, prosperity, and abundance to many nations. However,
it has had many drawbacks on people's health and the environment. Several paradigms …

A survey of smartwatches in remote health monitoring

CE King, M Sarrafzadeh - Journal of healthcare informatics research, 2018‏ - Springer
This systematic review classifies smartwatch-based healthcare applications in the literature
according to their application and summarizes what has led to feasible systems. To this end …

[HTML][HTML] Factors influencing the adoption of smart health technologies for people with dementia and their informal caregivers: sco** review and design framework

E Guisado-Fernández, G Giunti, LM Mackey, C Blake… - JMIR aging, 2019‏ - aging.jmir.org
Background: Smart Health technologies (s-Health technologies) are being developed to
support people with dementia (PwD) and their informal caregivers at home, to improve care …

A comparative study of autoencoder architectures for mental health analysis using wearable sensors data

M Panagiotou, A Zlatintsi, PP Filntisis… - 2022 30th European …, 2022‏ - ieeexplore.ieee.org
In this study, the application of deep learning models for the detection of relapses in patients
with psychotic disorders (ie, bipolar disorder and schizophrenia) is examined, using …

Wearable technology for detecting significant moments in individuals with dementia

C Lai Kwan, Y Mahdid, R Motta Ochoa… - BioMed research …, 2019‏ - Wiley Online Library
The detection of significant moments can support the care of individuals with dementia by
making visible what is most meaningful to them and maintaining a sense of interpersonal …

Intelligent assistive technology devices for persons with dementia: a sco** review

S Dada, C Van der Walt, AA May, J Murray - Assistive Technology, 2024‏ - Taylor & Francis
Assistive technology (AT) with context-aware computing and artificial intelligence
capabilities can be applied to address cognitive and communication impairments …

[HTML][HTML] E-prevention: Advanced support system for monitoring and relapse prevention in patients with psychotic disorders analyzing long-term multimodal data from …

A Zlatintsi, PP Filntisis, C Garoufis, N Efthymiou… - Sensors, 2022‏ - mdpi.com
Wearable technologies and digital phenoty** foster unique opportunities for designing
novel intelligent electronic services that can address various well-being issues in patients …

Wearables for learning: examining the smartwatch as a tool for situated science reflection

B Garcia, SL Chu, B Nam, C Banigan - … of the 2018 CHI conference on …, 2018‏ - dl.acm.org
Relatively little research exists on the use of smartwatches to support learning. This paper
presents an approach for commodity smartwatches as a tool for situated reflection in …