The future of healthcare internet of things: a survey of emerging technologies
The impact of the Internet of Things (IoT) on the advancement of the healthcare industry is
immense. The ushering of the Medicine 4.0 has resulted in an increased effort to develop …
immense. The ushering of the Medicine 4.0 has resulted in an increased effort to develop …
Orexin receptor antagonists in the pathophysiology and treatment of sleep disorders and epilepsy
The correlation between sleep and epilepsy has been argued over the past decades among
scientists. Although the similarities and contrasts between sleep and epilepsy had been …
scientists. Although the similarities and contrasts between sleep and epilepsy had been …
Multi-feature fusion approach for epileptic seizure detection from EEG signals
In this article, a new fusion scheme based on the Dempster-Shafer Evidence Theory (DSET)
is introduced for Epileptic Seizure Detection (ESD) in brain disorders. Firstly, various …
is introduced for Epileptic Seizure Detection (ESD) in brain disorders. Firstly, various …
A motion induced passive infrared (PIR) sensor for stationary human occupancy detection
J Andrews, M Kowsika, A Vakil… - 2020 IEEE/ION position …, 2020 - ieeexplore.ieee.org
Passive Infrared (PIR) sensors are commonly used in indoor applications to detect human
presence. PIR sensors detect human presence by detecting the change in infrared radiation …
presence. PIR sensors detect human presence by detecting the change in infrared radiation …
GAN-based sensor data augmentation: Application for counting moving people and detecting directions using PIR sensors
In indoor environments, such as smart homes, the number of occupants within the space
and their moving directions can provide a rich set of contextual information about the …
and their moving directions can provide a rich set of contextual information about the …
A novel SVMA and K-NN classifier based optical ML technique for seizure detection
Among the most common paroxysmal neurological conditions is epilepsy. When
spontaneous combustion occurs seizure is a defining feature. An epileptic seizure is caused …
spontaneous combustion occurs seizure is a defining feature. An epileptic seizure is caused …
Improving indoor occupancy detection accuracy of the SLEEPIR sensor using LSTM models
We recently developed a synchronized low-energy electronically chopped passive infrared
(SLEEPIR) sensor node to detect stationary and moving occupants. It uses a liquid crystal …
(SLEEPIR) sensor node to detect stationary and moving occupants. It uses a liquid crystal …
Slee** Abnormalities Detection using Deep Learning Techniques
M Murugesan, V Abirami, M Iswarya… - … on Electronics and …, 2023 - ieeexplore.ieee.org
Insomnia is a sleep disorder characterized by difficulty falling or staying asleep, and it can
significantly impact an individual's quality of life. It affects one person's mental health and …
significantly impact an individual's quality of life. It affects one person's mental health and …
Survey on Epileptic Seizure Detection on Varied Machine Learning Algorithms
Epilepsy is an unavoidable major persistent and critical neurological disorder that influences
the human brain. Moreover, this is apparently distinguished via its recurrent malicious …
the human brain. Moreover, this is apparently distinguished via its recurrent malicious …
Review of signal processing applications of Pyroelectric Infrared (PIR) sensors with a focus on respiration rate and heart rate detection
The article reviews signal processing applications of Pyroelectric Infrared (PIR) sensors with
the main focus on the respiration and pulse rate detection. Respiration and pulse rates are …
the main focus on the respiration and pulse rate detection. Respiration and pulse rates are …