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Protocol for PD SENSORS: Parkinson’s Disease Symptom Evaluation in a Naturalistic Setting producing Outcome measuRes using SPHERE technology. An observational feasibility study of multi-modal multi-sensor technology to measure symptoms and activities of daily living in Parkinson’s disease

INTRODUCTION: The impact of disease-modifying agents on disease progression in Parkinson’s disease is largely assessed in clinical trials using clinical rating scales. These scales have drawbacks in terms of their ability to capture the fluctuating nature of symptoms while living in a naturalistic e...

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Autores principales: Morgan, Catherine, Craddock, Ian, Tonkin, Emma L, Kinnunen, Kirsi M, McNaney, Roisin, Whitehouse, Sam, Mirmehdi, Majid, Heidarivincheh, Farnoosh, McConville, Ryan, Carey, Julia, Horne, Alison, Rolinski, Michal, Rochester, Lynn, Maetzler, Walter, Matthews, Helen, Watson, Oliver, Eardley, Rachel, Whone, Alan L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7705501/
https://www.ncbi.nlm.nih.gov/pubmed/33257491
http://dx.doi.org/10.1136/bmjopen-2020-041303
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author Morgan, Catherine
Craddock, Ian
Tonkin, Emma L
Kinnunen, Kirsi M
McNaney, Roisin
Whitehouse, Sam
Mirmehdi, Majid
Heidarivincheh, Farnoosh
McConville, Ryan
Carey, Julia
Horne, Alison
Rolinski, Michal
Rochester, Lynn
Maetzler, Walter
Matthews, Helen
Watson, Oliver
Eardley, Rachel
Whone, Alan L
author_facet Morgan, Catherine
Craddock, Ian
Tonkin, Emma L
Kinnunen, Kirsi M
McNaney, Roisin
Whitehouse, Sam
Mirmehdi, Majid
Heidarivincheh, Farnoosh
McConville, Ryan
Carey, Julia
Horne, Alison
Rolinski, Michal
Rochester, Lynn
Maetzler, Walter
Matthews, Helen
Watson, Oliver
Eardley, Rachel
Whone, Alan L
author_sort Morgan, Catherine
collection PubMed
description INTRODUCTION: The impact of disease-modifying agents on disease progression in Parkinson’s disease is largely assessed in clinical trials using clinical rating scales. These scales have drawbacks in terms of their ability to capture the fluctuating nature of symptoms while living in a naturalistic environment. The SPHERE (Sensor Platform for HEalthcare in a Residential Environment) project has designed a multi-sensor platform with multimodal devices designed to allow continuous, relatively inexpensive, unobtrusive sensing of motor, non-motor and activities of daily living metrics in a home or a home-like environment. The aim of this study is to evaluate how the SPHERE technology can measure aspects of Parkinson’s disease. METHODS AND ANALYSIS: This is a small-scale feasibility and acceptability study during which 12 pairs of participants (comprising a person with Parkinson’s and a healthy control participant) will stay and live freely for 5 days in a home-like environment embedded with SPHERE technology including environmental, appliance monitoring, wrist-worn accelerometry and camera sensors. These data will be collected alongside clinical rating scales, participant diary entries and expert clinician annotations of colour video images. Machine learning will be used to look for a signal to discriminate between Parkinson’s disease and control, and between Parkinson’s disease symptoms ‘on’ and ‘off’ medications. Additional outcome measures including bradykinesia, activity level, sleep parameters and some activities of daily living will be explored. Acceptability of the technology will be evaluated qualitatively using semi-structured interviews. ETHICS AND DISSEMINATION: Ethical approval has been given to commence this study; the results will be disseminated as widely as appropriate.
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spelling pubmed-77055012020-12-09 Protocol for PD SENSORS: Parkinson’s Disease Symptom Evaluation in a Naturalistic Setting producing Outcome measuRes using SPHERE technology. An observational feasibility study of multi-modal multi-sensor technology to measure symptoms and activities of daily living in Parkinson’s disease Morgan, Catherine Craddock, Ian Tonkin, Emma L Kinnunen, Kirsi M McNaney, Roisin Whitehouse, Sam Mirmehdi, Majid Heidarivincheh, Farnoosh McConville, Ryan Carey, Julia Horne, Alison Rolinski, Michal Rochester, Lynn Maetzler, Walter Matthews, Helen Watson, Oliver Eardley, Rachel Whone, Alan L BMJ Open Neurology INTRODUCTION: The impact of disease-modifying agents on disease progression in Parkinson’s disease is largely assessed in clinical trials using clinical rating scales. These scales have drawbacks in terms of their ability to capture the fluctuating nature of symptoms while living in a naturalistic environment. The SPHERE (Sensor Platform for HEalthcare in a Residential Environment) project has designed a multi-sensor platform with multimodal devices designed to allow continuous, relatively inexpensive, unobtrusive sensing of motor, non-motor and activities of daily living metrics in a home or a home-like environment. The aim of this study is to evaluate how the SPHERE technology can measure aspects of Parkinson’s disease. METHODS AND ANALYSIS: This is a small-scale feasibility and acceptability study during which 12 pairs of participants (comprising a person with Parkinson’s and a healthy control participant) will stay and live freely for 5 days in a home-like environment embedded with SPHERE technology including environmental, appliance monitoring, wrist-worn accelerometry and camera sensors. These data will be collected alongside clinical rating scales, participant diary entries and expert clinician annotations of colour video images. Machine learning will be used to look for a signal to discriminate between Parkinson’s disease and control, and between Parkinson’s disease symptoms ‘on’ and ‘off’ medications. Additional outcome measures including bradykinesia, activity level, sleep parameters and some activities of daily living will be explored. Acceptability of the technology will be evaluated qualitatively using semi-structured interviews. ETHICS AND DISSEMINATION: Ethical approval has been given to commence this study; the results will be disseminated as widely as appropriate. BMJ Publishing Group 2020-11-30 /pmc/articles/PMC7705501/ /pubmed/33257491 http://dx.doi.org/10.1136/bmjopen-2020-041303 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Neurology
Morgan, Catherine
Craddock, Ian
Tonkin, Emma L
Kinnunen, Kirsi M
McNaney, Roisin
Whitehouse, Sam
Mirmehdi, Majid
Heidarivincheh, Farnoosh
McConville, Ryan
Carey, Julia
Horne, Alison
Rolinski, Michal
Rochester, Lynn
Maetzler, Walter
Matthews, Helen
Watson, Oliver
Eardley, Rachel
Whone, Alan L
Protocol for PD SENSORS: Parkinson’s Disease Symptom Evaluation in a Naturalistic Setting producing Outcome measuRes using SPHERE technology. An observational feasibility study of multi-modal multi-sensor technology to measure symptoms and activities of daily living in Parkinson’s disease
title Protocol for PD SENSORS: Parkinson’s Disease Symptom Evaluation in a Naturalistic Setting producing Outcome measuRes using SPHERE technology. An observational feasibility study of multi-modal multi-sensor technology to measure symptoms and activities of daily living in Parkinson’s disease
title_full Protocol for PD SENSORS: Parkinson’s Disease Symptom Evaluation in a Naturalistic Setting producing Outcome measuRes using SPHERE technology. An observational feasibility study of multi-modal multi-sensor technology to measure symptoms and activities of daily living in Parkinson’s disease
title_fullStr Protocol for PD SENSORS: Parkinson’s Disease Symptom Evaluation in a Naturalistic Setting producing Outcome measuRes using SPHERE technology. An observational feasibility study of multi-modal multi-sensor technology to measure symptoms and activities of daily living in Parkinson’s disease
title_full_unstemmed Protocol for PD SENSORS: Parkinson’s Disease Symptom Evaluation in a Naturalistic Setting producing Outcome measuRes using SPHERE technology. An observational feasibility study of multi-modal multi-sensor technology to measure symptoms and activities of daily living in Parkinson’s disease
title_short Protocol for PD SENSORS: Parkinson’s Disease Symptom Evaluation in a Naturalistic Setting producing Outcome measuRes using SPHERE technology. An observational feasibility study of multi-modal multi-sensor technology to measure symptoms and activities of daily living in Parkinson’s disease
title_sort protocol for pd sensors: parkinson’s disease symptom evaluation in a naturalistic setting producing outcome measures using sphere technology. an observational feasibility study of multi-modal multi-sensor technology to measure symptoms and activities of daily living in parkinson’s disease
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7705501/
https://www.ncbi.nlm.nih.gov/pubmed/33257491
http://dx.doi.org/10.1136/bmjopen-2020-041303
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