Wearable inertial sensors to assess gait during the 6-minute walk test: A systematic review

FA Storm, A Cesareo, G Reni, E Biffi - Sensors, 2020 - mdpi.com
Wearable sensors are becoming increasingly popular for complementing classical clinical
assessments of gait deficits. The aim of this review is to examine the existing knowledge by …

[HTML][HTML] Internet of things in active cancer treatment: a systematic review

DA de Queiroz, CA da Costa, EAIF de Queiroz… - Journal of Biomedical …, 2021 - Elsevier
Abstract The Internet of Things (IoT) applied to the treatment of cancer patients has been
explored and the results are promising. This review aims to identify the applications and …

Machine intelligence in healthcare and medical cyber physical systems: A survey

OR Shishvan, DS Zois, T Soyata - IEEE Access, 2018 - ieeexplore.ieee.org
Today, the US healthcare industry alone can save $300 B per year by using machine
intelligence to analyze a rich set of existing medical data; results from these analyses can …

Automatic driver cognitive fatigue detection based on upper body posture variations

S Ansari, H Du, F Naghdy, D Stirling - Expert Systems with Applications, 2022 - Elsevier
Driver cognitive fatigue can significantly affect driving and may lead to fatal accidents. In this
regard, automatic detection of underload driver cognitive fatigue based on upper body …

[HTML][HTML] Wearable sensors for the monitoring of movement disorders

N Jalloul - Biomedical journal, 2018 - Elsevier
This paper offers a review of the implementation of current wearable sensing technologies in
monitoring the movement and activity of patients suffering from movement disorders. Recent …

Pose estimation by extended Kalman filter using noise covariance matrices based on sensor output

A Saito, S Kizawa, Y Kobayashi, K Miyawaki - ROBOMECH Journal, 2020 - Springer
This paper presents an extended Kalman filter for pose estimation using noise covariance
matrices based on sensor output. Compact and lightweight nine-axis motion sensors are …

[HTML][HTML] A survey on artificial intelligence in posture recognition

X Jiang, Z Hu, S Wang, Y Zhang - Computer modeling in …, 2023 - ncbi.nlm.nih.gov
Over the years, the continuous development of new technology has promoted research in
the field of posture recognition and also made the application field of posture recognition …

Analysis and classification of gait patterns in osteoarthritic and asymptomatic knees using phase space reconstruction, intrinsic time-scale decomposition and neural …

W Zeng, L Ma, Y Zhang - Multimedia Tools and Applications, 2024 - Springer
Artificial intelligence (AI) has gained significant traction in medical applications. This study
focuses on knee joint diseases, specifically osteoarthritis (OA) and rheumatoid arthritis …

Driver's foot trajectory tracking for safe maneuverability using new modified reLU-BiLSTM deep neural network

S Ansari, H Du, F Naghdy - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Driver's foot behaviour is unpredictable and can suddenly change the nature of driving and
dynamics under the influence of different factors that stimulates the driving style. Such effects …

Quantitative and non-invasive measurement of exercise-induced fatigue

S Ameli, F Naghdy, D Stirling… - Proceedings of the …, 2019 - journals.sagepub.com
Prolonged exercise-induced muscular fatigue adversely affects physical performance. The
fatigue increases the risk of sport injuries, whereas early fatigue detection and assessment …