Evaluation of data processing and artifact removal approaches used for physiological signals captured using wearable sensing devices during construction tasks
Wearable sensing devices (WSDs) have enormous promise for monitoring construction
worker safety. They can track workers and send safety-related information in real time …
worker safety. They can track workers and send safety-related information in real time …
Data quality evaluation in wearable monitoring
Wearable recordings of neurophysiological signals captured from the wrist offer enormous
potential for seizure monitoring. Yet, data quality remains one of the most challenging factors …
potential for seizure monitoring. Yet, data quality remains one of the most challenging factors …
An ultra low power personalizable wrist worn ECG monitor integrated with IoT infrastructure
Cardiovascular diseases are the leading cause of death in the UK, motivating the use of
long term wearable devices to monitor the heart in out-of-the-clinic settings. While a wide …
long term wearable devices to monitor the heart in out-of-the-clinic settings. While a wide …
Designing wearable sensing platforms for healthcare in a residential environment
X Fafoutis, A Vafeas, B Janko… - EAI Endorsed …, 2017 - research-information.bris.ac.uk
Wearable technologies are valuable tools that can encourage people to monitor their own
well-being and facilitate timely health interventions. In this paper, we present SPW-2; a low …
well-being and facilitate timely health interventions. In this paper, we present SPW-2; a low …
Application of stabilized numerical integration method in acceleration sensor data processing
X Kong, W Yang, B Li - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
It is necessary to perform a numerical or a quadratic integral calculation on the acceleration
sensor data by rectangular integration, trapezoidal integration or Simpson integration, etc. to …
sensor data by rectangular integration, trapezoidal integration or Simpson integration, etc. to …
Bias-error accumulation analysis for inertial navigation methods
In theera of Internet of Things (IoT), sensor plays a more vital role and its quality has a great
impact on final measurement. From the viewpoint of final measurement, there are two kinds …
impact on final measurement. From the viewpoint of final measurement, there are two kinds …
Practical considerations for accuracy evaluation in sensor-based machine learning and deep learning
I Hammad, K El-Sankary - Sensors, 2019 - mdpi.com
Accuracy evaluation in machine learning is based on the split of data into a training set and
a test set. This critical step is applied to develop machine learning models including models …
a test set. This critical step is applied to develop machine learning models including models …
Experiences and lessons learned from making IoT sensing platforms for large-scale deployments
This paper shares experiences and lessons learned from designing and developing the
bespoke Internet of Things (IoT) sensing platforms of a sensor platform for healthcare in a …
bespoke Internet of Things (IoT) sensing platforms of a sensor platform for healthcare in a …
A deep learning-based compression algorithm for 9-DOF inertial measurement unit signals along with an error compensating mechanism
M Sepahvand, F Abdali-Mohammadi - IEEE Sensors Journal, 2018 - ieeexplore.ieee.org
Inertial sensors with microelectromechanical systems technology are an integral part of
many modern electronic devices such as wearable medical products, which are inherently …
many modern electronic devices such as wearable medical products, which are inherently …
Snif-dfa: A signal processing and information fusion method for smart gua sha device
Z Ma, Y Geng, S Nie, H Ji, X Yan… - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Due to the COVID-19 global pandemic, there is more need for remote patient care,
especially in rehabilitation requiring direct contact. However, traditional Chinese …
especially in rehabilitation requiring direct contact. However, traditional Chinese …