Wearable-sensor-based detection and prediction of freezing of gait in Parkinson's disease: a review
Freezing of gait (FOG) is a serious gait disturbance, common in mid-and late-stage
Parkinson's disease, that affects mobility and increases fall risk. Wearable sensors have …
Parkinson's disease, that affects mobility and increases fall risk. Wearable sensors have …
A New Paradigm in Parkinson's Disease Evaluation With Wearable Medical Devices: A Review of STAT-ONTM
In the past decade, the use of wearable medical devices has been a great breakthrough in
clinical practice, trials, and research. In the Parkinson's disease field, clinical evaluation is …
clinical practice, trials, and research. In the Parkinson's disease field, clinical evaluation is …
[HTML][HTML] Prediction of freezing of gait in Parkinson's disease using wearables and machine learning
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and Machine Learning Next Article in Journal CAFD: Context-Aware Fault Diagnostic Scheme …
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Deep learning for freezing of gait detection in Parkinson's disease patients in their homes using a waist-worn inertial measurement unit
Among Parkinson's disease (PD) motor symptoms, freezing of gait (FOG) may be the most
incapacitating. FOG episodes may result in falls and reduce patients' quality of life. Accurate …
incapacitating. FOG episodes may result in falls and reduce patients' quality of life. Accurate …
Measuring freezing of gait during daily-life: an open-source, wearable sensors approach
Background Although a growing number of studies focus on the measurement and detection
of freezing of gait (FoG) in laboratory settings, only a few studies have attempted to measure …
of freezing of gait (FoG) in laboratory settings, only a few studies have attempted to measure …
Prediction and detection of freezing of gait in Parkinson's disease from plantar pressure data using long short-term memory neural-networks
Background Freezing of gait (FOG) is a walking disturbance in advanced stage Parkinson's
disease (PD) that has been associated with increased fall risk and decreased quality of life …
disease (PD) that has been associated with increased fall risk and decreased quality of life …
A recurrence plot-based approach for Parkinson's disease identification
Parkinson's disease (PD) is a neurodegenerative disease that affects millions of people
worldwide, causing mental and mainly motor dysfunctions. The negative impact on the …
worldwide, causing mental and mainly motor dysfunctions. The negative impact on the …
Real-time detection of freezing of gait in Parkinson's disease using multi-head convolutional neural networks and a single inertial sensor
Background: Freezing of gait (FOG) is one of the most disabling symptoms of Parkinson's
disease (PD), contributing to poor quality of life and increased risk of falls. Wearable sensors …
disease (PD), contributing to poor quality of life and increased risk of falls. Wearable sensors …
Deep learning approaches for detecting freezing of gait in Parkinson's disease patients through on-body acceleration sensors
Freezing of gait (FOG) is one of the most incapacitating motor symptoms in Parkinson's
disease (PD). The occurrence of FOG reduces the patients' quality of live and leads to falls …
disease (PD). The occurrence of FOG reduces the patients' quality of live and leads to falls …
Objective measurement versus clinician-based assessment for Parkinson's disease
Introduction Although clinician-based assessment through standardized clinical rating
scales is currently the gold standard for quantifying motor impairment in Parkinson's disease …
scales is currently the gold standard for quantifying motor impairment in Parkinson's disease …