A comprehensive review of embedded systems in autonomous vehicles: Trends, challenges, and future directions

S Sonko, EA Etukudoh, KI Ibekwe, VI Ilojianya… - World Journal of …, 2024 - wjarr.com
The integration of embedded systems in autonomous vehicles represents a transformative
paradigm shift in the automotive industry, offering unprecedented opportunities for …

The data-driven future of healthcare: a review

MM Amri, SA Abed - Mesopotamian Journal of Big Data, 2023 - mesopotamian.press
The future of disease detection, treatment, and prevention may very well lie in data-driven
healthcare. Here, we take stock of where things stand and highlight certain emerging issues …

Highly Efficient and Stable Self‐Powered Mixed Tin‐Lead Perovskite Photodetector Used in Remote Wearable Health Monitoring Technology

F Liu, K Liu, S Rafique, Z Xu, W Niu, X Li… - Advanced …, 2023 - Wiley Online Library
Realization of remote wearable health monitoring (RWHM) technology for the flexible
photodiodes is highly desirable in remote‐sensing healthcare systems used in space …

Real-time detection of freezing of gait in Parkinson's disease using multi-head convolutional neural networks and a single inertial sensor

L Borzì, L Sigcha, D Rodríguez-Martín… - Artificial intelligence in …, 2023 - Elsevier
Background: Freezing of gait (FOG) is one of the most disabling symptoms of Parkinson's
disease (PD), contributing to poor quality of life and increased risk of falls. Wearable sensors …

[HTML][HTML] An overview of machine learning methods in enabling IoMT-based epileptic seizure detection

ALN Al-Hajjar, AKM Al-Qurabat - The Journal of Supercomputing, 2023 - Springer
The healthcare industry is rapidly automating, in large part because of the Internet of Things
(IoT). The sector of the IoT devoted to medical research is sometimes called the Internet of …

[HTML][HTML] Smart devices for health and wellness applied to tele-exercise: an overview of new trends and technologies such as IoT and AI

A Fabbrizio, A Fucarino, M Cantoia, A De Giorgio… - Healthcare, 2023 - mdpi.com
This descriptive article explores the use of smart devices for health and wellness in the
context of telehealth, highlighting rapidly evolving technologies such as the Internet of …

Wearable multisource quantitative gait analysis of Parkinson's diseases

J Xie, H Zhao, J Cao, Q Qu, H Cao, WH Liao… - Computers in Biology …, 2023 - Elsevier
As the motor symptoms of Parkinson's disease (PD) are complex and influenced by many
factors, it is challenging to quantify gait abnormalities adequately using a single type of …

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

H Zhao, J Cao, J Xie, 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 …

Integration of deep adaptation transfer learning and online sequential extreme learning machine for cross-person and cross-position activity recognition

Q Xu, X Wei, R Bai, S Li, Z Meng - Expert Systems with Applications, 2023 - Elsevier
Deep learning (DL) has been evolving to a prevalent method in human activity recognition
(HAR). However, the performance of wearable sensor based HAR models decline …

[HTML][HTML] Recent advances in multifunctional wearable sensors and systems: Design, fabrication, and applications

S Jia, H Gao, Z Xue, X Meng - Biosensors, 2022 - mdpi.com
Multifunctional wearable sensors and systems are of growing interest over the past decades
because of real-time health monitoring and disease diagnosis capability. Owing to the …