Smartwatches in healthcare medicine: assistance and monitoring; a sco** review

M Masoumian Hosseini… - BMC Medical Informatics …, 2023 - Springer
Smartwatches have become increasingly popular in recent times because of their capacity
to track different health indicators, including heart rate, patterns of sleep, and physical …

[HTML][HTML] Internet of things in medicine: A systematic map** study

F Sadoughi, A Behmanesh, N Sayfouri - Journal of biomedical informatics, 2020 - Elsevier
Context The current studies on IoT in healthcare have reviewed the uses of this technology
in a combination of healthcare domains, including nursing, rehabilitation sciences, ambient …

Artificial intelligence in autism assessment

P Anagnostopoulou, V Alexandropoulou… - … Journal of Emerging …, 2020 - learntechlib.org
The current paper review gives a brief and representative description of the role that artificial
intelligence plays nowadays at the assessment of autism. Therefore, many researchers note …

Wearables and mobile technologies in Autism Spectrum Disorder interventions: A systematic literature review

Y Koumpouros, T Kafazis - Research in Autism Spectrum Disorders, 2019 - Elsevier
Abstract Background Nowadays, in the Internet of Things era, wearables, mobile
technologies and enhanced communication and computing capabilities has led to the …

[HTML][HTML] Machine learning and virtual reality on body movements' behaviors to classify children with autism spectrum disorder

M Alcaniz Raya, J Marín-Morales, ME Minissi… - Journal of clinical …, 2020 - mdpi.com
Autism spectrum disorder (ASD) is mostly diagnosed according to behavioral symptoms in
sensory, social, and motor domains. Improper motor functioning, during diagnosis, involves …

Evaluation of autism spectrum disorder based on the healthcare by using artificial intelligence strategies

A Sundas, S Badotra, S Rani, R Gyaang - Journal of Sensors, 2023 - Wiley Online Library
The behaviors of children with autism spectrum disorder (ASD) are often erratic and difficult
to predict. Most of the time, they are unable to communicate effectively in their own …

Physiological signals based anxiety detection using ensemble machine learning

V Khullar, RG Tiwari, AK Agarwal, S Dutta - Cyber Intelligence and …, 2022 - Springer
Generalized Anxiety disorder (GAD) is a neurological disorder that is mentioned in the
Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-V), as well as its …

Autism detection in children: Integrating machine learning and natural language processing in narrative analysis

CK Themistocleous, M Andreou, E Peristeri - Behavioral Sciences, 2024 - mdpi.com
Despite the consensus that early identification leads to better outcomes for individuals with
autism spectrum disorder (ASD), recent research reveals that the average age of diagnosis …

Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders

NM Rad, SM Kia, C Zarbo, T van Laarhoven, G Jurman… - Signal Processing, 2018 - Elsevier
Abstract Autism Spectrum Disorders are associated with atypical movements, of which
stereotypical motor movements (SMMs) interfere with learning and social interaction. The …

Current clinical utilisation of wearable motion sensors for the assessment of outcome following knee arthroplasty: a sco** review

SR Small, GS Bullock, S Khalid, K Barker, M Trivella… - BMJ open, 2019 - bmjopen.bmj.com
Objectives Wearable motion sensors are used with increasing frequency in the evaluation of
gait, function and physical activity within orthopaedics and sports medicine. The integration …