Prevalence and diagnosis of neurological disorders using different deep learning techniques: a meta-analysis
This paper dispenses an exhaustive review on deep learning techniques used in the
prognosis of eight different neuropsychiatric and neurological disorders such as stroke …
prognosis of eight different neuropsychiatric and neurological disorders such as stroke …
A data-driven inertial navigation/Bluetooth fusion algorithm for indoor localization
The introduction of data-driven inertial navigation provides new opportunities that the
pedestrian dead reckoning could not well provide for constraining inertial system error drift …
pedestrian dead reckoning could not well provide for constraining inertial system error drift …
Binarized neural network for edge intelligence of sensor-based human activity recognition
A wide diversity of sensors has been applied in human activity recognition. These sensors
generate enormous amounts of data during human activity monitoring. Server-based …
generate enormous amounts of data during human activity monitoring. Server-based …
Multimodal gait recognition with inertial sensor data and video using evolutionary algorithm
Evolutionary decision fusion has applications in biometric authentication and verification.
Gray wolf optimizer (GWO) is one such evolutionary decision fusion approach that can be …
Gray wolf optimizer (GWO) is one such evolutionary decision fusion approach that can be …
Deep learning in pervasive health monitoring, design goals, applications, and architectures: An overview and a brief synthesis
The continuous growth of an aging population in some countries, and patients with chronic
conditions needs the development of efficient solutions for healthcare. Pervasive Health …
conditions needs the development of efficient solutions for healthcare. Pervasive Health …
DeepVIP: Deep learning-based vehicle indoor positioning using smartphones
The advent of sensor-rich smart devices (eg, smartphones) has enabled a lot of applications
and services. One of these applications and services is smartphone-based vehicle indoor …
and services. One of these applications and services is smartphone-based vehicle indoor …
Convolutional neural networks (CNN) based human fall detection on body sensor networks (BSN) sensor data
According to the World Health Organization, around 28-35% of people aged 65 and older
fall each year. This number increases to around 32-42% for people over 70 years old. For …
fall each year. This number increases to around 32-42% for people over 70 years old. For …
A machine learning approach to perform physical activity classification using a sensorized crutch tip
In recent years, interest in monitoring Physical Activity (PA) has increased due to its positive
effect on health. New technological devices have been proposed for this purpose, mainly …
effect on health. New technological devices have been proposed for this purpose, mainly …
Sensorized tip for monitoring people with multiple sclerosis that require assistive devices for walking
Multiple Sclerosis (MS) is a neurological degenerative disease with high impact on our
society. In order to mitigate its effects, proper rehabilitation therapy is mandatory, in which …
society. In order to mitigate its effects, proper rehabilitation therapy is mandatory, in which …
Interpretable deep learning for the remote characterisation of ambulation in multiple sclerosis using smartphones
The emergence of digital technologies such as smartphones in healthcare applications have
demonstrated the possibility of developing rich, continuous, and objective measures of …
demonstrated the possibility of developing rich, continuous, and objective measures of …