A review on the role of machine learning in enabling IoT based healthcare applications

HK Bharadwaj, A Agarwal, V Chamola… - IEEE …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is playing a vital role in the rapid automation of the healthcare
sector. The branch of IoT dedicated towards medical science is at times termed as …

A review on utilizing machine learning technology in the fields of electronic emergency triage and patient priority systems in telemedicine: Coherent taxonomy …

OH Salman, Z Taha, MQ Alsabah, YS Hussein… - Computer Methods and …, 2021 - Elsevier
Background With the remarkable increasing in the numbers of patients, the triaging and
prioritizing patients into multi-emergency level is required to accommodate all the patients …

Ultra-short term HRV features as surrogates of short term HRV: A case study on mental stress detection in real life

R Castaldo, L Montesinos, P Melillo, C James… - BMC medical informatics …, 2019 - Springer
Background This paper suggests a method to assess the extent to which ultra-short Heart
Rate Variability (HRV) features (less than 5 min) can be considered as valid surrogates of …

[HTML][HTML] The use of artificial intelligence systems in diagnosis of pneumonia via signs and symptoms: A systematic review

K Stokes, R Castaldo, C Federici, S Pagliara… - … Signal Processing and …, 2022 - Elsevier
Artificial Intelligence (AI) systems using symptoms/signs to detect respiratory diseases may
improve diagnosis especially in limited resource settings. Heterogeneity in such AI systems …

Older adults with hypertension: Prevalence of falls and their associated factors

AAZ Abu Bakar, A Abdul Kadir, NS Idris… - International journal of …, 2021 - mdpi.com
Falls are prominent health issues among older adults. Among hypertensive older adults,
falls may have a detrimental effect on their health and wellbeing. The purpose of this study is …

The impact of normalization approaches to automatically detect radiogenomic phenotypes characterizing breast cancer receptors status

R Castaldo, K Pane, E Nicolai, M Salvatore… - Cancers, 2020 - mdpi.com
In breast cancer studies, combining quantitative radiomic with genomic signatures can help
identifying and characterizing radiogenomic phenotypes, in function of molecular receptor …

Fall risk assessment in the wild: A critical examination of wearable sensor use in free-living conditions

M Nouredanesh, A Godfrey, J Howcroft, ED Lemaire… - Gait & Posture, 2021 - Elsevier
Background Despite advances in laboratory-based supervised fall risk assessment methods
(FRAs), falls still remain a major public health problem. This can be due to the alteration of …

To What Extent Can We Shorten HRV Analysis in Wearable Sensing? A Case Study on Mental Stress Detection.

R Castaldo, L Montesinos, P Melillo, S Massaro… - EMBEC & NBC 2017 …, 2018 - Springer
Mental stress is one of the first causes of cognitive dysfunctions, cardiovascular disorders
and depression. In addition, it reduces performances, on the work place and in daily life. The …

Heart rate variability and falls in Huntington's disease

C Terroba-Chambi, V Bruno, DE Vigo… - Clinical Autonomic …, 2021 - Springer
Abstract Purpose Persons with Huntington's disease (HD) have a high incidence of falls.
Autonomic nervous system dysfunction has been reported even in early stages of this …

Analysis of heart rate variability to understand the effect of cannabis consumption on Indian male paddy-field workers

SK Nayak, BK Pradhan, I Banerjee, K Pal - Biomedical Signal Processing …, 2020 - Elsevier
The consumption of cannabis-based products is increasing worldwide day-by-day because
of their euphoric effects. Numerous studies have reported the incidence of cardiovascular …