i-Prognosis SData study
Research type
Research Study
Full title
Intelligent Parkinson early detection guiding novel supportive interventions Special Data collection study.
IRAS ID
237157
Contact name
Kallol Ray Chaudhuri
Contact email
Sponsor organisation
King's college London
Duration of Study in the UK
0 years, 9 months, 22 days
Research summary
The Special data collection study is continuation of GData study (IRAS ref:220439) of i-Prognosis project.Previously, the GData study of the i-PROGNOSIS project (protocol version 2, ethic ID17/L0/0909 ) used the i-PROGNOSIS mobile app to capture data in the form of motor and non-motor symptoms being indicative of PD on phone usage in the general population including healthy participants and participants with diagnosis of PD. This data was used to build and train computer algorithms that recognise and distinguish differences between healthy study participants and patients with PD as well as changes of behaviours associated with Parkinsonian symptoms over the time.
The purpose and goal of this SData Study is to clinically control for any motor and non-motor symptoms potentially suggestive of PD by a movement disorders specialist neurologist as well as to perform further instrumental diagnostics aiding the diagnosis of PD. SData study participants will be either eligible GData Study participants (Group 1 & 2) or newly recruited PD patients and healthy who are interested in the SData Study (Group 3).
The value of SData and the accuracy of the machine learning algorithms in terms of PD detection will be evaluated through comprehensive medical evaluation. It includes clinical neurological examination as well as further evaluation of motor and non-motor symptoms of PD. Cardinal motor symptoms of PD like tremor, brady- and hypokinesia, rigidity, gait and balance are measured based on validated scales and questionnaires as well as established diagnostic tests. Medical history, non-motor symptoms (eg sleep, mood, cognition), general wellbeing and general quality of life are asked with the help of validated scales and questionnaires. All these evaluations are part of research.
Next to this medical evaluation we would like to add a smartwatch to capture additional motor and non-motor symptoms being indicative for PD such as minor tremor,general health deterioration,sleep degradation.REC name
London - Surrey Borders Research Ethics Committee
REC reference
18/LO/0074
Date of REC Opinion
12 Feb 2018
REC opinion
Further Information Favourable Opinion