Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review

H Zhao, J Cao, J **e, WH Liao, Y Lei, H Cao… - Digital …, 2023 - journals.sagepub.com
Objective Neurodegenerative diseases affect millions of families around the world, while
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

Y Wang, J Wang, W Zhang, Y Zhan, S Guo… - Digital Communications …, 2022 - Elsevier
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 …

Robust automated Parkinson disease detection based on voice signals with transfer learning

O Karaman, H Çakın, A Alhudhaif, K Polat - Expert Systems with …, 2021 - Elsevier
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 …

[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 …

SpiroSonic: monitoring human lung function via acoustic sensing on commodity smartphones

X Song, B Yang, G Yang, R Chen, E Forno… - Proceedings of the 26th …, 2020 - dl.acm.org
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 …

Deep learning-based privacy preservation and data analytics for IoT enabled healthcare

H Bi, J Liu, N Kato - IEEE Transactions on Industrial Informatics, 2021 - ieeexplore.ieee.org
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 …

Artificial intelligence of things: A survey

SI Siam, H Ahn, L Liu, S Alam, H Shen, Z Cao… - ACM Transactions on …, 2025 - dl.acm.org
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 …

Earhealth: an earphone-based acoustic otoscope for detection of multiple ear diseases in daily life

Y **, Y Gao, X Guo, J Wen, Z Li, Z ** - Proceedings of the 20th annual …, 2022 - dl.acm.org
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 …

Privacymic: Utilizing inaudible frequencies for privacy preserving daily activity recognition

Y Iravantchi, K Ahuja, M Goel, C Harrison… - Proceedings of the 2021 …, 2021 - dl.acm.org
Sound presents an invaluable signal source that enables computing systems to perform
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

JC Vasquez-Correa, T Arias-Vergara, M Schuster… - Speech …, 2020 - Elsevier
Speech signals may contain different paralinguistic aspects such as the presence of
pathologies that affect the proper communication capabilities of a speaker. Those speech …