Add to ORKGThis study proposes a platform to objectively assess motor states in Parkinson’s disease (PD) using sensor technology and machine learning. The platform uses sensor information gathered during standardized motor tasks and fuses them in a data-driven manner to produce an index representing motor states of the patients. After investigating clinimetric properties of the platform it was found that the platform had good validity and responsiveness to treatment, which are essential for developing systems to individualize treatments
A suite of signal processing algorithms designed for extracting information from brain electrophysio...
The miniaturization, sophistication, proliferation, and accessibility of technologies are enabling t...
The goal of this study was to investigate the feasibility of wrist worn motion sensors to objectivel...
This study proposes a platform to objectively assess motor states in Parkinson’s disease (PD) using ...
Parkinson’s Disease (PD) is characterized as the commonest neurodegenerative illness that gradually ...
This paper is reviewing objective assessments of Parkinson’s disease(PD) motor symptoms, cardinal, a...
Title: Feasibility of a multi-sensor data fusion method for assessment of Parkinson’s disease motor ...
Objective: To provide clinically-corroborated evidence of the Parkinson’s disease (PD) diagnostic po...
Introduction The impact of disease-modifying agents on disease progression in Parkinson’s disease is...
Parkinson’s disease (PD) is a progressive neurodegenerative disorder associated with dysfunction of ...
Parkinson’s disease (PD) is the second most common neurodegenerative disease affecting millions worl...
Neurodegenerative disorders, such as Parkinson’s disease (PD), are infamously heterogeneous in rega...
Aim: To construct a Treatment Response Index from Multiple Sensors (TRIMS) for quantification of mot...
INTRODUCTION:The increasing development and availability of portable and wearable technologies is ra...
Wearable devices offer the potential to track motor symptoms in neurological disorders. Kinematic da...
A suite of signal processing algorithms designed for extracting information from brain electrophysio...
The miniaturization, sophistication, proliferation, and accessibility of technologies are enabling t...
The goal of this study was to investigate the feasibility of wrist worn motion sensors to objectivel...
This study proposes a platform to objectively assess motor states in Parkinson’s disease (PD) using ...
Parkinson’s Disease (PD) is characterized as the commonest neurodegenerative illness that gradually ...
This paper is reviewing objective assessments of Parkinson’s disease(PD) motor symptoms, cardinal, a...
Title: Feasibility of a multi-sensor data fusion method for assessment of Parkinson’s disease motor ...
Objective: To provide clinically-corroborated evidence of the Parkinson’s disease (PD) diagnostic po...
Introduction The impact of disease-modifying agents on disease progression in Parkinson’s disease is...
Parkinson’s disease (PD) is a progressive neurodegenerative disorder associated with dysfunction of ...
Parkinson’s disease (PD) is the second most common neurodegenerative disease affecting millions worl...
Neurodegenerative disorders, such as Parkinson’s disease (PD), are infamously heterogeneous in rega...
Aim: To construct a Treatment Response Index from Multiple Sensors (TRIMS) for quantification of mot...
INTRODUCTION:The increasing development and availability of portable and wearable technologies is ra...
Wearable devices offer the potential to track motor symptoms in neurological disorders. Kinematic da...
A suite of signal processing algorithms designed for extracting information from brain electrophysio...
The miniaturization, sophistication, proliferation, and accessibility of technologies are enabling t...
The goal of this study was to investigate the feasibility of wrist worn motion sensors to objectivel...