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Fall risk assessment in the wild: A critical examination of wearable sensor use in free-living conditions
Background Despite advances in laboratory-based supervised fall risk assessment methods
(FRAs), falls still remain a major public health problem. This can be due to the alteration of …
(FRAs), falls still remain a major public health problem. This can be due to the alteration of …
Secure sharing of big digital twin data for smart manufacturing based on blockchain
With the rapid development of digital twin technology, a large amount of digital twin data
named as big digital twin data (BDTD), is generated in the lifecycle of equipment, which is …
named as big digital twin data (BDTD), is generated in the lifecycle of equipment, which is …
Feature selection and comparison of machine learning algorithms in classification of grazing and rumination behaviour in sheep
N Mansbridge, J Mitsch, N Bollard, K Ellis… - Sensors, 2018 - mdpi.com
Grazing and ruminating are the most important behaviours for ruminants, as they spend
most of their daily time budget performing these. Continuous surveillance of eating …
most of their daily time budget performing these. Continuous surveillance of eating …
Biomedical signal processing for health monitoring applications: a review
Biomedical health monitoring systems are evolving rapidly and using non-invasive and cost
effective sensors. These systems can monitor physiological parameters of the body to …
effective sensors. These systems can monitor physiological parameters of the body to …
[HTML][HTML] Prediction of lower extremity multi-joint angles during overground walking by using a single IMU with a low frequency based on an LSTM recurrent neural …
The joint angle during gait is an important indicator, such as injury risk index, rehabilitation
status evaluation, etc. To analyze gait, inertial measurement unit (IMU) sensors have been …
status evaluation, etc. To analyze gait, inertial measurement unit (IMU) sensors have been …
An intelligent in-shoe system for gait monitoring and analysis with optimized sampling and real-time visualization capabilities
J Wu, K Kuruvithadam, A Schaer, R Stoneham… - Sensors, 2021 - mdpi.com
The deterioration of gait can be used as a biomarker for ageing and neurological diseases.
Continuous gait monitoring and analysis are essential for early deficit detection and …
Continuous gait monitoring and analysis are essential for early deficit detection and …
Sleep posture monitoring using a single neck-situated accelerometer: A proof-of-concept
RS Abdulsadig, E Rodriguez-Villegas - IEEE Access, 2023 - ieeexplore.ieee.org
Sleep position identification and monitoring is important in the context of certain healthcare
conditions, such as obstructive sleep apnoea and epilepsy. Many studies have thoroughly …
conditions, such as obstructive sleep apnoea and epilepsy. Many studies have thoroughly …
[HTML][HTML] Lengthening battery life expectancy of sensors in WBANs: A multifactorial approach
Abstract Wireless Body Area Networks (WBANs) are emerging as a key component in
healthcare within the Internet of Things (IoT) ecosystem, with sensor battery life being crucial …
healthcare within the Internet of Things (IoT) ecosystem, with sensor battery life being crucial …
Arterial pulse wave velocity signal reconstruction using low sampling rates
Pulse Wave Velocity (PWV) analysis is valuable for assessing arterial stiffness and
cardiovascular health and potentially for estimating blood pressure cufflessly. However …
cardiovascular health and potentially for estimating blood pressure cufflessly. However …
Optimized sampling rate for voltammetry-based electrochemical sensing in wearable and IoT applications
The recent advancements in electrochemical measurements are guiding the development of
new platforms for in situ point-of-care monitoring of human-metabolite, markers, and drugs …
new platforms for in situ point-of-care monitoring of human-metabolite, markers, and drugs …