Literature DB >> 29736737

A novel device for continuous monitoring of tremor and other motor symptoms.

Luigi Battista1, Antonietta Romaniello2.   

Abstract

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.

Entities:  

Keywords:  Accelerometer; Movement disorders; Neurophysiology; Parkinson’s disease; Wearable technology

Mesh:

Year:  2018        PMID: 29736737     DOI: 10.1007/s10072-018-3414-2

Source DB:  PubMed          Journal:  Neurol Sci        ISSN: 1590-1874            Impact factor:   3.307


  25 in total

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9.  A mobile cloud-based Parkinson's disease assessment system for home-based monitoring.

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10.  The Parkinsonian Gait Spatiotemporal Parameters Quantified by a Single Inertial Sensor before and after Automated Mechanical Peripheral Stimulation Treatment.

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1.  Systematic Review Looking at the Use of Technology to Measure Free-Living Symptom and Activity Outcomes in Parkinson's Disease in the Home or a Home-like Environment.

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3.  Continuous home monitoring of Parkinson's disease using inertial sensors: A systematic review.

Authors:  Marco Sica; Salvatore Tedesco; Colum Crowe; Lorna Kenny; Kevin Moore; Suzanne Timmons; John Barton; Brendan O'Flynn; Dimitrios-Sokratis Komaris
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4.  Development and Validation of a New Wearable Mobile Device for the Automated Detection of Resting Tremor in Parkinson's Disease and Essential Tremor.

Authors:  Basilio Vescio; Rita Nisticò; Antonio Augimeri; Andrea Quattrone; Marianna Crasà; Aldo Quattrone
Journal:  Diagnostics (Basel)       Date:  2021-01-29

Review 5.  Wearable Devices for Assessment of Tremor.

Authors:  Basilio Vescio; Andrea Quattrone; Rita Nisticò; Marianna Crasà; Aldo Quattrone
Journal:  Front Neurol       Date:  2021-06-11       Impact factor: 4.003

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