A New Paradigm in Parkinson's Disease Evaluation With Wearable Medical Devices: A Review of STAT-ONTM
In the past decade, the use of wearable medical devices has been a great breakthrough in clinical practice, trials, and research. In the Parkinson's disease field, clinical evaluation is time limited, and healthcare professionals need to rely on retrospective data collected through patients...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-06-01
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| Series: | Frontiers in Neurology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2022.912343/full |
| _version_ | 1818265144882364416 |
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| author | Daniel Rodríguez-Martín Joan Cabestany Carlos Pérez-López Marti Pie Joan Calvet Albert Samà Chiara Capra Andreu Català Alejandro Rodríguez-Molinero |
| author_facet | Daniel Rodríguez-Martín Joan Cabestany Carlos Pérez-López Marti Pie Joan Calvet Albert Samà Chiara Capra Andreu Català Alejandro Rodríguez-Molinero |
| author_sort | Daniel Rodríguez-Martín |
| collection | DOAJ |
| description | In the past decade, the use of wearable medical devices has been a great breakthrough in clinical practice, trials, and research. In the Parkinson's disease field, clinical evaluation is time limited, and healthcare professionals need to rely on retrospective data collected through patients' self-filled diaries and administered questionnaires. As this often leads to inaccurate evaluations, a more objective system for symptom monitoring in a patient's daily life is claimed. In this regard, the use of wearable medical devices is crucial. This study aims at presenting a review on STAT-ONTM, a wearable medical device Class IIa, which provides objective information on the distribution and severity of PD motor symptoms in home environments. The sensor analyzes inertial signals, with a set of validated machine learning algorithms running in real time. The device was developed for 12 years, and this review aims at gathering all the results achieved within this time frame. First, a compendium of the complete journey of STAT-ONTM since 2009 is presented, encompassing different studies and developments in funded European and Spanish national projects. Subsequently, the methodology of database construction and machine learning algorithms design and development is described. Finally, clinical validation and external studies of STAT-ONTM are presented. |
| first_indexed | 2024-12-12T19:46:09Z |
| format | Article |
| id | doaj.art-7492a8ea33784333a8b9f366f58187e4 |
| institution | Directory Open Access Journal |
| issn | 1664-2295 |
| language | English |
| last_indexed | 2024-12-12T19:46:09Z |
| publishDate | 2022-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurology |
| spelling | doaj.art-7492a8ea33784333a8b9f366f58187e42022-12-22T00:14:05ZengFrontiers Media S.A.Frontiers in Neurology1664-22952022-06-011310.3389/fneur.2022.912343912343A New Paradigm in Parkinson's Disease Evaluation With Wearable Medical Devices: A Review of STAT-ONTMDaniel Rodríguez-Martín0Joan Cabestany1Carlos Pérez-López2Marti Pie3Joan Calvet4Albert Samà5Chiara Capra6Andreu Català7Alejandro Rodríguez-Molinero8Sense4Care S.L., Cornellà de Llobregat, SpainTechnical Research Centre for Dependency Care and Autonomous Living, Universitat Politecnica de Catalunya, Barcelona, SpainDepartment of Investigation, Consorci Sanitari Alt Penedès - Garraf, Vilanova i la Geltrú, SpainSense4Care S.L., Cornellà de Llobregat, SpainSense4Care S.L., Cornellà de Llobregat, SpainSense4Care S.L., Cornellà de Llobregat, SpainSense4Care S.L., Cornellà de Llobregat, SpainTechnical Research Centre for Dependency Care and Autonomous Living, Universitat Politecnica de Catalunya, Barcelona, SpainDepartment of Investigation, Consorci Sanitari Alt Penedès - Garraf, Vilanova i la Geltrú, SpainIn the past decade, the use of wearable medical devices has been a great breakthrough in clinical practice, trials, and research. In the Parkinson's disease field, clinical evaluation is time limited, and healthcare professionals need to rely on retrospective data collected through patients' self-filled diaries and administered questionnaires. As this often leads to inaccurate evaluations, a more objective system for symptom monitoring in a patient's daily life is claimed. In this regard, the use of wearable medical devices is crucial. This study aims at presenting a review on STAT-ONTM, a wearable medical device Class IIa, which provides objective information on the distribution and severity of PD motor symptoms in home environments. The sensor analyzes inertial signals, with a set of validated machine learning algorithms running in real time. The device was developed for 12 years, and this review aims at gathering all the results achieved within this time frame. First, a compendium of the complete journey of STAT-ONTM since 2009 is presented, encompassing different studies and developments in funded European and Spanish national projects. Subsequently, the methodology of database construction and machine learning algorithms design and development is described. Finally, clinical validation and external studies of STAT-ONTM are presented.https://www.frontiersin.org/articles/10.3389/fneur.2022.912343/fullwearablesaccelerometermachine learning (ML)Parkinson's diseasemedical device |
| spellingShingle | Daniel Rodríguez-Martín Joan Cabestany Carlos Pérez-López Marti Pie Joan Calvet Albert Samà Chiara Capra Andreu Català Alejandro Rodríguez-Molinero A New Paradigm in Parkinson's Disease Evaluation With Wearable Medical Devices: A Review of STAT-ONTM Frontiers in Neurology wearables accelerometer machine learning (ML) Parkinson's disease medical device |
| title | A New Paradigm in Parkinson's Disease Evaluation With Wearable Medical Devices: A Review of STAT-ONTM |
| title_full | A New Paradigm in Parkinson's Disease Evaluation With Wearable Medical Devices: A Review of STAT-ONTM |
| title_fullStr | A New Paradigm in Parkinson's Disease Evaluation With Wearable Medical Devices: A Review of STAT-ONTM |
| title_full_unstemmed | A New Paradigm in Parkinson's Disease Evaluation With Wearable Medical Devices: A Review of STAT-ONTM |
| title_short | A New Paradigm in Parkinson's Disease Evaluation With Wearable Medical Devices: A Review of STAT-ONTM |
| title_sort | new paradigm in parkinson s disease evaluation with wearable medical devices a review of stat ontm |
| topic | wearables accelerometer machine learning (ML) Parkinson's disease medical device |
| url | https://www.frontiersin.org/articles/10.3389/fneur.2022.912343/full |
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