Metaverse for healthcare: a survey on potential applications, challenges and future directions

R Chengoden, N Victor, T Huynh-The, G Yenduri… - IEEE …, 2023 - ieeexplore.ieee.org
The rapid progress in digitalization and automation have led to an accelerated growth in
healthcare, generating novel models that are creating new channels for rendering treatment …

[HTML][HTML] Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson's disease: a systematic review

L Sigcha, L Borzì, F Amato, I Rechichi… - Expert Systems with …, 2023 - Elsevier
Parkinson's disease (PD) is a neurodegenerative disorder that produces both motor and non-
motor complications, degrading the quality of life of PD patients. Over the past two decades …

Future smart cities: Requirements, emerging technologies, applications, challenges, and future aspects

AR Javed, F Shahzad, S ur Rehman, YB Zikria… - Cities, 2022 - Elsevier
Future smart cities are the key to fulfilling the ever-growing demands of citizens. Information
and communication advancements will empower better administration of accessible …

[HTML][HTML] A survey on COVID-19 impact in the healthcare domain: worldwide market implementation, applications, security and privacy issues, challenges and future …

T Shakeel, S Habib, W Boulila, A Koubaa… - Complex & intelligent …, 2023 - Springer
Extensive research has been conducted on healthcare technology and service
advancements during the last decade. The Internet of Medical Things (IoMT) has …

[Retracted] An AI‐Enabled Internet of Things Based Autism Care System for Improving Cognitive Ability of Children with Autism Spectrum Disorders

M Abdel Hameed, M Hassaballah… - Computational …, 2022 - Wiley Online Library
Smart monitoring and assisted living systems for cognitive health assessment play a central
role in assessment of individuals' health conditions. Autistic children suffer from some …

[HTML][HTML] Computer vision quantification of whole-body Parkinsonian bradykinesia using a large multi-site population

G Morinan, Y Dushin, G Sarapata… - npj Parkinson's …, 2023 - nature.com
Parkinson's disease (PD) is a common neurological disorder, with bradykinesia being one of
its cardinal features. Objective quantification of bradykinesia using computer vision has the …

[HTML][HTML] The use of wearable technology in providing assistive solutions for mental well-being

R Alhejaili, A Alomainy - Sensors, 2023 - mdpi.com
The main goal of this manuscript is to provide an extensive literature review and analysis of
certain biomarkers, which are frequently used to identify stress, anxiety, and other emotions …

Seq2Dense U-Net: Analysing Sequential Inertial Sensor data for Human Activity Recognition using Dense Segmentation Model

T Meena, K Sarawadekar - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
In this article, we have demonstrated a novel, generalized Seq2Dense U-Net model for
classifying different activities (time-series data obtained from an accelerometer and …

[HTML][HTML] Artificial intelligence applications for assessment, monitoring, and management of Parkinson disease symptoms: protocol for a systematic review

K Bounsall, M Milne-Ives, A Hall… - JMIR Research …, 2023 - researchprotocols.org
Background Parkinson disease (PD) is the second most prevalent neurodegenerative
disease, with around 10 million people with PD worldwide. Current assessments of PD …

[HTML][HTML] The role of wrist-worn technology in the management of Parkinson's disease in daily life: A narrative review

P Li, R van Wezel, F He, Y Zhao… - Frontiers in …, 2023 - frontiersin.org
Parkinson's disease (PD) is a neurodegenerative disorder that affects millions of people
worldwide. Its slow and heterogeneous progression over time makes timely diagnosis …