Assessing Motor Fluctuations in Parkinson’s Disease Patients Based on a Single Inertial Sensor
Altered movement control is typically the first noticeable symptom manifested by Parkinson’s disease (PD) patients. Once under treatment, the effect of the medication is very patent and patients often recover correct movement control over several hours. Nonetheless, as the disease advances, patients...
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-12-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/16/12/2132 |
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| author | Carlos Pérez-López Albert Samà Daniel Rodríguez-Martín Andreu Català Joan Cabestany Juan Manuel Moreno-Arostegui Eva de Mingo Alejandro Rodríguez-Molinero |
| author_facet | Carlos Pérez-López Albert Samà Daniel Rodríguez-Martín Andreu Català Joan Cabestany Juan Manuel Moreno-Arostegui Eva de Mingo Alejandro Rodríguez-Molinero |
| author_sort | Carlos Pérez-López |
| collection | DOAJ |
| description | Altered movement control is typically the first noticeable symptom manifested by Parkinson’s disease (PD) patients. Once under treatment, the effect of the medication is very patent and patients often recover correct movement control over several hours. Nonetheless, as the disease advances, patients present motor complications. Obtaining precise information on the long-term evolution of these motor complications and their short-term fluctuations is crucial to provide optimal therapy to PD patients and to properly measure the outcome of clinical trials. This paper presents an algorithm based on the accelerometer signals provided by a waist sensor that has been validated in the automatic assessment of patient’s motor fluctuations (ON and OFF motor states) during their activities of daily living. A total of 15 patients have participated in the experiments in ambulatory conditions during 1 to 3 days. The state recognised by the algorithm and the motor state annotated by patients in standard diaries are contrasted. Results show that the average specificity and sensitivity are higher than 90%, while their values are higher than 80% of all patients, thereby showing that PD motor status is able to be monitored through a single sensor during daily life of patients in a precise and objective way. |
| first_indexed | 2024-04-13T08:13:59Z |
| format | Article |
| id | doaj.art-d33bcc9b48ae4e1eaeb1759d1b800107 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T08:13:59Z |
| publishDate | 2016-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-d33bcc9b48ae4e1eaeb1759d1b8001072022-12-22T02:54:52ZengMDPI AGSensors1424-82202016-12-011612213210.3390/s16122132s16122132Assessing Motor Fluctuations in Parkinson’s Disease Patients Based on a Single Inertial SensorCarlos Pérez-López0Albert Samà1Daniel Rodríguez-Martín2Andreu Català3Joan Cabestany4Juan Manuel Moreno-Arostegui5Eva de Mingo6Alejandro Rodríguez-Molinero7Technical Research Centre for Dependency Care and Autonomous Living, CETPD, Universitat Politècnica de Catalunya, Barcelona Tech., Rambla de l’Exposició 59-69, Vilanova i la Geltrú 08800, Barcelona, SpainTechnical Research Centre for Dependency Care and Autonomous Living, CETPD, Universitat Politècnica de Catalunya, Barcelona Tech., Rambla de l’Exposició 59-69, Vilanova i la Geltrú 08800, Barcelona, SpainTechnical Research Centre for Dependency Care and Autonomous Living, CETPD, Universitat Politècnica de Catalunya, Barcelona Tech., Rambla de l’Exposició 59-69, Vilanova i la Geltrú 08800, Barcelona, SpainTechnical Research Centre for Dependency Care and Autonomous Living, CETPD, Universitat Politècnica de Catalunya, Barcelona Tech., Rambla de l’Exposició 59-69, Vilanova i la Geltrú 08800, Barcelona, SpainTechnical Research Centre for Dependency Care and Autonomous Living, CETPD, Universitat Politècnica de Catalunya, Barcelona Tech., Rambla de l’Exposició 59-69, Vilanova i la Geltrú 08800, Barcelona, SpainTechnical Research Centre for Dependency Care and Autonomous Living, CETPD, Universitat Politècnica de Catalunya, Barcelona Tech., Rambla de l’Exposició 59-69, Vilanova i la Geltrú 08800, Barcelona, SpainClinical Research Unit, Consorci Sanitari del Garraf (Fundación Sant Antoni Abat ), Carrer de Sant Josep, 21-23, Vilanova i la Geltrú 08800, Barcelona, SpainClinical Research Unit, Consorci Sanitari del Garraf (Fundación Sant Antoni Abat ), Carrer de Sant Josep, 21-23, Vilanova i la Geltrú 08800, Barcelona, SpainAltered movement control is typically the first noticeable symptom manifested by Parkinson’s disease (PD) patients. Once under treatment, the effect of the medication is very patent and patients often recover correct movement control over several hours. Nonetheless, as the disease advances, patients present motor complications. Obtaining precise information on the long-term evolution of these motor complications and their short-term fluctuations is crucial to provide optimal therapy to PD patients and to properly measure the outcome of clinical trials. This paper presents an algorithm based on the accelerometer signals provided by a waist sensor that has been validated in the automatic assessment of patient’s motor fluctuations (ON and OFF motor states) during their activities of daily living. A total of 15 patients have participated in the experiments in ambulatory conditions during 1 to 3 days. The state recognised by the algorithm and the motor state annotated by patients in standard diaries are contrasted. Results show that the average specificity and sensitivity are higher than 90%, while their values are higher than 80% of all patients, thereby showing that PD motor status is able to be monitored through a single sensor during daily life of patients in a precise and objective way.http://www.mdpi.com/1424-8220/16/12/2132inertial sensorsSupport Vector MachineParkinson’s diseasemotor fluctuationsambulatory monitoring |
| spellingShingle | Carlos Pérez-López Albert Samà Daniel Rodríguez-Martín Andreu Català Joan Cabestany Juan Manuel Moreno-Arostegui Eva de Mingo Alejandro Rodríguez-Molinero Assessing Motor Fluctuations in Parkinson’s Disease Patients Based on a Single Inertial Sensor Sensors inertial sensors Support Vector Machine Parkinson’s disease motor fluctuations ambulatory monitoring |
| title | Assessing Motor Fluctuations in Parkinson’s Disease Patients Based on a Single Inertial Sensor |
| title_full | Assessing Motor Fluctuations in Parkinson’s Disease Patients Based on a Single Inertial Sensor |
| title_fullStr | Assessing Motor Fluctuations in Parkinson’s Disease Patients Based on a Single Inertial Sensor |
| title_full_unstemmed | Assessing Motor Fluctuations in Parkinson’s Disease Patients Based on a Single Inertial Sensor |
| title_short | Assessing Motor Fluctuations in Parkinson’s Disease Patients Based on a Single Inertial Sensor |
| title_sort | assessing motor fluctuations in parkinson s disease patients based on a single inertial sensor |
| topic | inertial sensors Support Vector Machine Parkinson’s disease motor fluctuations ambulatory monitoring |
| url | http://www.mdpi.com/1424-8220/16/12/2132 |
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