The application of internet of things in healthcare: a systematic literature review and classification

H Ahmadi, G Arji, L Shahmoradi, R Safdari… - Universal Access in the …, 2019 - Springer
Abstract The Internet of Things (IoT) is an ecosystem that integrates physical objects,
software and hardware to interact with each other. Aging of population, shortage of …

A clinical and technical methodological review on stress detection and sleep quality prediction in an academic environment

J Medikonda - Computer methods and programs in biomedicine, 2023 - Elsevier
Background Mental health in recent times is a much talked about topic and its effects on the
sleep health of the students are said to result in long-term health issues if not identified and …

Information and communications technologies for elderly ubiquitous healthcare in a smart home

MJ Deen - Personal and ubiquitous computing, 2015 - Springer
Over the past century, in most countries, there has been a continual increase in life
expectancy primarily due to improvements in public health, nutrition, personal hygiene and …

Envisioned speech recognition using EEG sensors

P Kumar, R Saini, PP Roy, PK Sahu… - Personal and Ubiquitous …, 2018 - Springer
Recent advances in EEG technology makes brain-computer-interface (BCI) an exciting field
of research. BCI is primarily used to adopt with the paralyzed human body parts. However …

SleepExplorer: a visualization tool to make sense of correlations between personal sleep data and contextual factors

Z Liang, B Ploderer, W Liu, Y Nagata, J Bailey… - Personal and Ubiquitous …, 2016 - Springer
Getting enough quality sleep is a key part of a healthy lifestyle. Many people are tracking
their sleep through mobile and wearable technology, together with contextual information …

An attention based CNN-LSTM approach for sleep-wake detection with heterogeneous sensors

Z Chen, M Wu, W Cui, C Liu, X Li - IEEE Journal of Biomedical …, 2020 - ieeexplore.ieee.org
In this article, we propose an attention based convolutional neural network long short-term
memory (CNN-LSTM) approach for sleep-wake detection with heterogeneous sensor data …

Sleep behavior assessment via smartwatch and stigmergic receptive fields

AL Alfeo, P Barsocchi, MGCA Cimino… - Personal and ubiquitous …, 2018 - Springer
Sleep behavior is a key factor in maintaining good physiological and psychological health. A
well-known approach to monitor sleep is polysomnography. However, it is costly and …

[HTML][HTML] Seizure reporting technologies for epilepsy treatment: A review of clinical information needs and supporting technologies

J Bidwell, T Khuwatsamrit, B Askew, JA Ehrenberg… - Seizure, 2015 - Elsevier
This review surveys current seizure detection and classification technologies as they relate
to aiding clinical decision-making during epilepsy treatment. Interviews and data collected …

Sleep posture classification using a convolutional neural network

SM Mohammadi, M Alnowami, S Khan… - 2018 40th Annual …, 2018 - ieeexplore.ieee.org
Sleep is a process of rest and renewal that is vital for humans. However, there are several
sleep disorders such as rapid eye movement (REM) sleep behaviour disorder (RBD), sleep …

Internet of health things driven deep learning-based system for non-invasive patient discomfort detection using time frame rules and pairwise keypoints distance …

I Ahmed, D Camacho, G Jeon, F Piccialli - Sustainable Cities and Society, 2022 - Elsevier
Nowadays, digitization has opened up various possibilities in the healthcare sector. Smart
healthcare is becoming a field of remarkable transformations and growth in the new era of …