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Free‐living monitoring of Parkinson's disease: Lessons from the field
Wearable technology comprises miniaturized sensors (eg, accelerometers) worn on the
body and/or paired with mobile devices (eg, smart phones) allowing continuous patient …
body and/or paired with mobile devices (eg, smart phones) allowing continuous patient …
An emerging era in the management of Parkinson's disease: wearable technologies and the internet of things
Current challenges demand a profound restructuration of the global healthcare system. A
more efficient system is required to cope with the growing world population and increased …
more efficient system is required to cope with the growing world population and increased …
Continuous home monitoring of Parkinson's disease using inertial sensors: A systematic review
Parkinson's disease (PD) is a progressive neurological disorder of the central nervous
system that deteriorates motor functions, while it is also accompanied by a large diversity of …
system that deteriorates motor functions, while it is also accompanied by a large diversity of …
Parkinson's disease tremor detection in the wild using wearable accelerometers
Continuous in-home monitoring of Parkinson's Disease (PD) symptoms might allow
improvements in assessment of disease progression and treatment effects. As a first step …
improvements in assessment of disease progression and treatment effects. As a first step …
Wearables in the home-based assessment of abnormal movements in Parkinson's disease: a systematic review of the literature
At present, the standard practices for home-based assessments of abnormal movements in
Parkinson's disease (PD) are based either on subjective tools or on objective measures that …
Parkinson's disease (PD) are based either on subjective tools or on objective measures that …
Systematic review looking at the use of technology to measure free-living symptom and activity outcomes in Parkinson's disease in the home or a home-like …
Background: The emergence of new technologies measuring outcomes in Parkinson's
disease (PD) to complement the existing clinical rating scales has introduced the possibility …
disease (PD) to complement the existing clinical rating scales has introduced the possibility …
Empirical wavelet transform based features for classification of Parkinson's disease severity
Parkinson's disease (PD) is a type of progressive neurodegenerative disorder that has
affected a large part of the population till now. Several symptoms of PD include tremor …
affected a large part of the population till now. Several symptoms of PD include tremor …
Machine learning classification of medication adherence in patients with movement disorders using non-wearable sensors
Medication non-adherence is a major concern in the healthcare industry and has led to
increases in health risks and medical costs. For many neurological diseases, adherence to …
increases in health risks and medical costs. For many neurological diseases, adherence to …
Detecting parkinsonian tremor from IMU data collected in-the-wild using deep multiple-instance learning
Parkinson's Disease (PD) is a slowly evolving neurological disease that affects about 1% of
the population above 60 years old, causing symptoms that are subtle at first, but whose …
the population above 60 years old, causing symptoms that are subtle at first, but whose …
What engineering technology could do for quality of life in Parkinson's disease: a review of current needs and opportunities
JA Stamford, PN Schmidt… - IEEE journal of biomedical …, 2015 - ieeexplore.ieee.org
Parkinson's disease (PD) involves well-known motor symptoms such as tremor, rigidity,
bradykinesia, and altered gait, but there are also nonlocomotory motor symptoms (eg …
bradykinesia, and altered gait, but there are also nonlocomotory motor symptoms (eg …