A novel device for continuous monitoring of tremor and other motor symptoms
| Autor: | Antonietta Romaniello, L. Battista |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Male
medicine.medical_specialty Parkinson's disease Movement disorders Neurology 0206 medical engineering Monitoring Ambulatory 02 engineering and technology Dermatology Disease Wearable Electronic Devices 03 medical and health sciences 0302 clinical medicine Physical medicine and rehabilitation Extrapyramidal symptoms Accelerometry Activities of Daily Living Tremor Humans Medicine Aged Aged 80 and over Movement Disorders business.industry General Medicine Middle Aged Neurophysiology medicine.disease 020601 biomedical engineering Clinical trial Psychiatry and Mental health Female Neurology (clinical) Neurosurgery medicine.symptom business 030217 neurology & neurosurgery |
| Zdroj: | Neurological Sciences. 39:1333-1343 |
| ISSN: | 1590-3478 1590-1874 |
| Popis: | The clinical assessment of Parkinson's disease (PD) symptoms is typically performed with neurological examinations and simple motor tests. However, this only takes into account the severity of motor symptoms during the length of the recording and fails to capture variations in a patient's motor state, which change continuously during the day. Most of the current methods for long-term monitoring of extrapyramidal symptoms are based on the use of a wearable magneto-inertial device that evaluates the frequential content of signals in the range of movement disorders. However, the typical daily motor activities performed by patients may have a power spectrum into the same range of motor symptoms, and habitual activity may be indistinguishable from that due to movement disorders. In this work, we report a new device and method for the continuous and long-term monitoring of tremor due to PD and other movement disorders to reduce the probability of mistaking the discrimination between extrapyramidal symptoms and normal daily activity. The method is based on the evaluation of frequential data content from multi-axial sensors and on the identification of specific movement patterns that Parkinsonian and extrapyramidal symptoms are typically associated with. In this study, 16 patients with movement disorders were recruited. While results need to be extended with further studies and clinical trials, the proposed device appears promising and suitable for the use as part of clinical trials and routine clinical practice for supporting the evaluation of motor symptoms, disease progression, and the quantification of therapeutic effects. |
| Databáze: | OpenAIRE |
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