Exploiting real-world data to monitor physical activity in patients with osteoarthritis: the opportunity of digital epidemiology
Osteoarthritis is a degenerative joint disease that affects millions of people worldwide.
Current guidelines emphasize the importance of regular physical activity as a preventive …
Current guidelines emphasize the importance of regular physical activity as a preventive …
Edge server deployment for health monitoring with reinforcement learning in internet of medical things
The Internet of Medical Things (IoMT) has recently gained a lot of interest in the health care
industry. IoMT enables real-time and omnipresent monitoring of a patient's health status …
industry. IoMT enables real-time and omnipresent monitoring of a patient's health status …
A multi-sensor architecture combining human pose estimation and real-time location systems for workflow monitoring on hybrid operating suites
VF Rodrigues, RS Antunes, LA Seewald, R Bazo… - Future Generation …, 2022 - Elsevier
Despite the advancements to improve patient safety, a significant number of errors still occur
in Operating Suites (OS). To improve medical decision-making and the resulting quality of …
in Operating Suites (OS). To improve medical decision-making and the resulting quality of …
Comparing cross-subject performance on human activities recognition using learning models
Z Yang, M Qu, Y Pan, R Huan - IEEE Access, 2022 - ieeexplore.ieee.org
Human activities recognition (HAR) plays a vital role in fields like ambient assisted living and
health monitoring, in which cross-subject recognition is one of the main challenges coming …
health monitoring, in which cross-subject recognition is one of the main challenges coming …
Integrated sensing devices for disease prevention and health alerts in smart homes
The rapid development of elderly population is changing demographics in Europe and North
America and imposes barriers to healthcare systems that may reduce the quality of service …
America and imposes barriers to healthcare systems that may reduce the quality of service …
Continuous Person Identification and Tracking in Healthcare by Integrating Accelerometer Data and Deep Learning Filled 3D Skeletons
M Bastico, A Belmonte-Hernández… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
With the technological development in healthcare, environments such as rehabilitation
clinics and patients' houses, are increasingly monitored by multi-device systems. To …
clinics and patients' houses, are increasingly monitored by multi-device systems. To …
Industry 4.0: Applications and Future Perspectives
Industry 4.0 introduces several changes to the original approach of industrial automation.
Internet of Things (IoT) and cyber-physical system (CPS) technologies play huge roles in this …
Internet of Things (IoT) and cyber-physical system (CPS) technologies play huge roles in this …
[图书][B] Sequential learning and shared representation for sensor-based human activity recognition
RA Hamad - 2022 - search.proquest.com
Human activity recognition based on sensor data has rapidly attracted considerable
research attention due to its wide range of applications including senior monitoring …
research attention due to its wide range of applications including senior monitoring …
[PDF][PDF] Camera as a Sensor Towards Augmenting Anomaly Detection in Internet of Things Systems: A Survey
An anomaly refers to measurements or data that deviate from the expected or normal
pattern. Anomaly detection is the problem of finding these deviations. An anomaly is also …
pattern. Anomaly detection is the problem of finding these deviations. An anomaly is also …