↓ Skip to main content

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

Overview of attention for article published in Neurological Sciences, May 2018
Altmetric Badge

Mentioned by

twitter
3 X users

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
76 Mendeley
Title
A novel device for continuous monitoring of tremor and other motor symptoms
Published in
Neurological Sciences, May 2018
DOI 10.1007/s10072-018-3414-2
Pubmed ID
Authors

Luigi Battista, Antonietta Romaniello

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 18%
Researcher 9 12%
Student > Bachelor 6 8%
Student > Doctoral Student 4 5%
Other 4 5%
Other 11 14%
Unknown 28 37%
Readers by discipline Count As %
Engineering 15 20%
Medicine and Dentistry 6 8%
Neuroscience 6 8%
Nursing and Health Professions 3 4%
Agricultural and Biological Sciences 3 4%
Other 12 16%
Unknown 31 41%