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The application of internet of things in healthcare: a systematic literature review and classification
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 …
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 …
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 …
expectancy primarily due to improvements in public health, nutrition, personal hygiene and …
Envisioned speech recognition using EEG sensors
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 …
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
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 …
their sleep through mobile and wearable technology, together with contextual information …
An attention based CNN-LSTM approach for sleep-wake detection with heterogeneous sensors
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 …
memory (CNN-LSTM) approach for sleep-wake detection with heterogeneous sensor data …
Sleep behavior assessment via smartwatch and stigmergic receptive fields
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 …
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 …
to aiding clinical decision-making during epilepsy treatment. Interviews and data collected …
Sleep posture classification using a convolutional neural network
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 …
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 …
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 …
healthcare is becoming a field of remarkable transformations and growth in the new era of …