Parkinson's disease management via wearable sensors: a systematic review
Wearable technology has played an essential role in the Mobile Health (mHealth) sector for
diagnosis, treatment, and rehabilitation of numerous diseases and disorders. One such …
diagnosis, treatment, and rehabilitation of numerous diseases and disorders. One such …
Wearable inertial sensors for human movement analysis: a five-year update
Introduction The aim of the present review is to track the evolution of wearable IMUs from
their use in supervised laboratory-and ambulatory-based settings to their application for long …
their use in supervised laboratory-and ambulatory-based settings to their application for long …
Wearable sensor-based human activity recognition with transformer model
Computing devices that can recognize various human activities or movements can be used
to assist people in healthcare, sports, or human–robot interaction. Readily available data for …
to assist people in healthcare, sports, or human–robot interaction. Readily available data for …
[HTML][HTML] A survey on wearable technology: History, state-of-the-art and current challenges
Technology is continually undergoing a constituent development caused by the appearance
of billions new interconnected “things” and their entrenchment in our daily lives. One of the …
of billions new interconnected “things” and their entrenchment in our daily lives. One of the …
A systematic review on exercise and training-based interventions for freezing of gait in Parkinson's disease
Freezing of gait (FOG) in Parkinson's disease (PD) causes severe patient burden despite
pharmacological management. Exercise and training are therefore advocated as important …
pharmacological management. Exercise and training are therefore advocated as important …
Internet of things technologies and machine learning methods for Parkinson's disease diagnosis, monitoring and management: a systematic review
KM Giannakopoulou, I Roussaki, K Demestichas - Sensors, 2022 - mdpi.com
Parkinson's disease is a chronic neurodegenerative disease that affects a large portion of
the population, especially the elderly. It manifests with motor, cognitive and other types of …
the population, especially the elderly. It manifests with motor, cognitive and other types of …
[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 …
Machine learning approach to support the detection of Parkinson's disease in IMU-based Gait analysis
D Trabassi, M Serrao, T Varrecchia, A Ranavolo… - Sensors, 2022 - mdpi.com
The aim of this study was to determine which supervised machine learning (ML) algorithm
can most accurately classify people with Parkinson's disease (pwPD) from speed-matched …
can most accurately classify people with Parkinson's disease (pwPD) from speed-matched …
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 …
Remote healthcare for elderly people using wearables: A review
JO Olmedo-Aguirre, J Reyes-Campos… - Biosensors, 2022 - mdpi.com
The growth of health care spending on older adults with chronic diseases faces major
concerns that require effective measures to be adopted worldwide. Among the main …
concerns that require effective measures to be adopted worldwide. Among the main …