The contribution of machine learning in the validation of commercial wearable sensors for gait monitoring in patients: a systematic review
Gait, balance, and coordination are important in the development of chronic disease, but the
ability to accurately assess these in the daily lives of patients may be limited by traditional …
ability to accurately assess these in the daily lives of patients may be limited by traditional …
IMU-based monitoring for assistive diagnosis and management of IoHT: a review
With the rapid development of Internet of Things (IoT) technologies, traditional disease
diagnoses carried out in medical institutions can now be performed remotely at home or …
diagnoses carried out in medical institutions can now be performed remotely at home or …
Measuring biomechanical risk in lifting load tasks through wearable system and machine-learning approach
I Conforti, I Mileti, Z Del Prete, E Palermo - Sensors, 2020 - mdpi.com
Ergonomics evaluation through measurements of biomechanical parameters in real time
has a great potential in reducing non-fatal occupational injuries, such as work-related …
has a great potential in reducing non-fatal occupational injuries, such as work-related …
Foot pressure wearable sensors for freezing of gait detection in Parkinson's disease
Freezing of Gait (FoG) is a common symptom in Parkinson's Disease (PD) occurring with
significant variability and severity and is associated with increased risk of falls. FoG …
significant variability and severity and is associated with increased risk of falls. FoG …
A validation study of freezing of gait (FoG) detection and machine-learning-based FoG prediction using estimated gait characteristics with a wearable accelerometer
One of the most common symptoms observed among most of the Parkinson's disease
patients that affects movement pattern and is also related to the risk of fall, is usually termed …
patients that affects movement pattern and is also related to the risk of fall, is usually termed …
Walking gait phase detection based on acceleration signals using LSTM-DNN algorithm
T Zhen, L Yan, P Yuan - Algorithms, 2019 - mdpi.com
Gait phase detection is a new biometric method which is of great significance in gait
correction, disease diagnosis, and exoskeleton assisted robots. Especially for the …
correction, disease diagnosis, and exoskeleton assisted robots. Especially for the …
Automatic detection of faults in race walking: A comparative analysis of machine-learning algorithms fed with inertial sensor data
The validity of results in race walking is often questioned due to subjective decisions in the
detection of faults. This study aims to compare machine-learning algorithms fed with data …
detection of faults. This study aims to compare machine-learning algorithms fed with data …
Body sensor network-based gait quality assessment for clinical decision-support via multi-sensor fusion
This paper presents a versatile multi-sensor fusion method and decision-making algorithm
for ambulatory and continuous patient monitoring purposes via a body sensor network …
for ambulatory and continuous patient monitoring purposes via a body sensor network …
Explainable deep learning architecture for early diagnosis of Parkinson's disease
YW Ma, JL Chen, YJ Chen, YH Lai - Soft Computing, 2023 - Springer
Parkinson's disease (PD) is a neurodegenerative disease that develops in middle-aged and
older adults. The development of a gait detection for PD patients to assist doctors in …
older adults. The development of a gait detection for PD patients to assist doctors in …
Immediate effects of rhythmic auditory stimulation on gait kinematics in Parkinson's disease ON/OFF medication
C Erra, I Mileti, M Germanotta, M Petracca… - Clinical …, 2019 - Elsevier
Objective Gait impairment is a highly disabling symptom for Parkinson's disease (PD)
patients. Rhythmic auditory stimulation (RAS), has shown to improve spatio-temporal gait …
patients. Rhythmic auditory stimulation (RAS), has shown to improve spatio-temporal gait …