Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review
Objective Neurodegenerative diseases affect millions of families around the world, while
various wearable sensors and corresponding data analysis can be of great support for …
various wearable sensors and corresponding data analysis can be of great support for …
[HTML][HTML] A survey on deploying mobile deep learning applications: A systemic and technical perspective
With the rapid development of mobile devices and deep learning, mobile smart applications
using deep learning technology have sprung up. It satisfies multiple needs of users, network …
using deep learning technology have sprung up. It satisfies multiple needs of users, network …
Robust automated Parkinson disease detection based on voice signals with transfer learning
Parkinson's disease (PD) is a progressive-neurodegenerative disorder that affects more
than 6 million people around the world. However, conventional techniques for PD detection …
than 6 million people around the world. However, conventional techniques for PD detection …
[HTML][HTML] Smartphone applications for Movement Disorders: Towards collaboration and re-use
IHJ Willemse, S Schootemeijer… - Parkinsonism & Related …, 2024 - Elsevier
Background Numerous smartphone and tablet applications (apps) are available to monitor
movement disorders, but an overview of their purpose and stage of development is missing …
movement disorders, but an overview of their purpose and stage of development is missing …
SpiroSonic: monitoring human lung function via acoustic sensing on commodity smartphones
Respiratory diseases have been a significant public health challenge. Efficient disease
evaluation and monitoring call for daily spirometry tests, as an effective way of pulmonary …
evaluation and monitoring call for daily spirometry tests, as an effective way of pulmonary …
Deep learning-based privacy preservation and data analytics for IoT enabled healthcare
With the development of the industrial Internet of Things (IIoT), intelligent healthcare aims to
build a platform to monitor users' health-related information based on wearable devices …
build a platform to monitor users' health-related information based on wearable devices …
Artificial intelligence of things: A survey
The integration of the Internet of Things (IoT) and modern Artificial Intelligence (AI) has given
rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we …
rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we …
Earhealth: an earphone-based acoustic otoscope for detection of multiple ear diseases in daily life
With the aging of the population and the long-time wearing of earphones, hearing health has
gradually emerged as a worldwide health issue. Early detection of hearing health conditions …
gradually emerged as a worldwide health issue. Early detection of hearing health conditions …
Privacymic: Utilizing inaudible frequencies for privacy preserving daily activity recognition
Sound presents an invaluable signal source that enables computing systems to perform
daily activity recognition. However, microphones are optimized for human speech and …
daily activity recognition. However, microphones are optimized for human speech and …
Parallel representation learning for the classification of pathological speech: studies on Parkinson's disease and cleft lip and palate
Speech signals may contain different paralinguistic aspects such as the presence of
pathologies that affect the proper communication capabilities of a speaker. Those speech …
pathologies that affect the proper communication capabilities of a speaker. Those speech …