Deep learning in human activity recognition with wearable sensors: A review on advances
Mobile and wearable devices have enabled numerous applications, including activity
tracking, wellness monitoring, and human–computer interaction, that measure and improve …
tracking, wellness monitoring, and human–computer interaction, that measure and improve …
Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson's disease motor symptoms
AS Chandrabhatla, IJ Pomeraniec… - NPJ digital …, 2022 - nature.com
Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor
impairments such as tremor, bradykinesia, dyskinesia, and gait abnormalities. Current …
impairments such as tremor, bradykinesia, dyskinesia, and gait abnormalities. Current …
Machine learning and deep learning approaches for brain disease diagnosis: principles and recent advances
Brain is the controlling center of our body. With the advent of time, newer and newer brain
diseases are being discovered. Thus, because of the variability of brain diseases, existing …
diseases are being discovered. Thus, because of the variability of brain diseases, existing …
[HTML][HTML] Deep learning and wearable sensors for the diagnosis and monitoring of Parkinson's disease: a systematic review
Parkinson's disease (PD) is a neurodegenerative disorder that produces both motor and non-
motor complications, degrading the quality of life of PD patients. Over the past two decades …
motor complications, degrading the quality of life of PD patients. Over the past two decades …
[HTML][HTML] Prediction of freezing of gait in Parkinson's disease using wearables and machine learning
Sensors | Free Full-Text | Prediction of Freezing of Gait in Parkinson’s Disease Using Wearables
and Machine Learning Next Article in Journal CAFD: Context-Aware Fault Diagnostic Scheme …
and Machine Learning Next Article in Journal CAFD: Context-Aware Fault Diagnostic Scheme …
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 …
Body-worn sensors for remote monitoring of Parkinson's disease motor symptoms: vision, state of the art, and challenges ahead
The increasing prevalence of neurodegenerative conditions such as Parkinson's disease
(PD) and related mobility issues places a serious burden on healthcare systems. The COVID …
(PD) and related mobility issues places a serious burden on healthcare systems. The COVID …
Detection and assessment of Parkinson's disease based on gait analysis: A survey
Neurological disorders represent one of the leading causes of disability and mortality in the
world. Parkinson's Disease (PD), for example, affecting millions of people worldwide is often …
world. Parkinson's Disease (PD), for example, affecting millions of people worldwide is often …
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 …
Assessing inertial measurement unit locations for freezing of gait detection and patient preference
Background Freezing of gait, a common symptom of Parkinson's disease, presents as
sporadic episodes in which an individual's feet suddenly feel stuck to the ground. Inertial …
sporadic episodes in which an individual's feet suddenly feel stuck to the ground. Inertial …