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Inertial sensing to determine movement disorder motion present before and after treatment.

Teskey WJ, Elhabiby M, El-Sheimy N - Sensors (Basel) (2012)

Bottom Line: It was quite surprising that this coherence analysis depicts that there is a statistically significant relationship using coherence analysis when differentiating between control and effectively medicated PD motion.Dyskinesia is involuntary motion or the absence of intended motion, and it is a common side effect among medicated PD patients.As well, the finding that PD motion, when well medicated, does still differ significantly from control motion allows for researchers to quantify potential deficiencies in the use of medication.

View Article: PubMed Central - PubMed

Affiliation: Department of Geomatics Engineering, University of Calgary, Calgary, Alberta, Canada. wjeteske@ucalgary.ca

ABSTRACT
There has been a lot of interest in recent years in using inertial sensors (accelerometers and gyroscopes) to monitor movement disorder motion and monitor the efficacy of treatment options. Two of the most prominent movement disorders, which are under evaluation in this research paper, are essential tremor (ET) and Parkinson's disease (PD). These movement disorders are first evaluated to show that ET and PD motion often depict more (tremor) motion content in the 3-12 Hz frequency band of interest than control data and that such tremor motion can be characterized using inertial sensors. As well, coherence analysis is used to compare between pairs of many of the six degrees-of-freedom of motions under evaluation, to determine the similarity in tremor motion for the various degrees-of-freedom at different frequency bands of interest. It was quite surprising that this coherence analysis depicts that there is a statistically significant relationship using coherence analysis when differentiating between control and effectively medicated PD motion. The statistical analysis uncovers the novel finding that PD medication induced dyskinesia is depicted within coherence data from inertial signals. Dyskinesia is involuntary motion or the absence of intended motion, and it is a common side effect among medicated PD patients. The results show that inertial sensors can be used to differentiate between effectively medicated PD motion and control motion; such a differentiation can often be difficult to perform with the human eye because effectively medicated PD patients tend to not produce much tremor. As well, the finding that PD motion, when well medicated, does still differ significantly from control motion allows for researchers to quantify potential deficiencies in the use of medication. By using inertial sensors to spot such deficiencies, as outlined in this research paper, it is hoped that medications with even a larger degree of efficacy can be created in the future.

No MeSH data available.


Related in: MedlinePlus

Coiflets 3 mother wavelet.
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f1-sensors-12-03512: Coiflets 3 mother wavelet.

Mentions: Continuous wavelet analysis is applied here in part to help to manage frequency spectrum information for the inertial signals under evaluation. Wavelet frequency spectrum data is in many ways similar to a Fourier based frequency spectrum data, but wavelets have a number of inherent advantages when compared to Fourier analysis. For one, there are many families of wavelets from which one can pick and the Coiflets 3 wavelet (the Coiflets 3 mother wavelet is shown in Figure 1) was chosen for analysis because it matched well with the signal under evaluation. In contrast, Fourier analysis tends to be more restricted to sinusoidal based processing techniques when generating frequency spectra.


Inertial sensing to determine movement disorder motion present before and after treatment.

Teskey WJ, Elhabiby M, El-Sheimy N - Sensors (Basel) (2012)

Coiflets 3 mother wavelet.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3376555&req=5

f1-sensors-12-03512: Coiflets 3 mother wavelet.
Mentions: Continuous wavelet analysis is applied here in part to help to manage frequency spectrum information for the inertial signals under evaluation. Wavelet frequency spectrum data is in many ways similar to a Fourier based frequency spectrum data, but wavelets have a number of inherent advantages when compared to Fourier analysis. For one, there are many families of wavelets from which one can pick and the Coiflets 3 wavelet (the Coiflets 3 mother wavelet is shown in Figure 1) was chosen for analysis because it matched well with the signal under evaluation. In contrast, Fourier analysis tends to be more restricted to sinusoidal based processing techniques when generating frequency spectra.

Bottom Line: It was quite surprising that this coherence analysis depicts that there is a statistically significant relationship using coherence analysis when differentiating between control and effectively medicated PD motion.Dyskinesia is involuntary motion or the absence of intended motion, and it is a common side effect among medicated PD patients.As well, the finding that PD motion, when well medicated, does still differ significantly from control motion allows for researchers to quantify potential deficiencies in the use of medication.

View Article: PubMed Central - PubMed

Affiliation: Department of Geomatics Engineering, University of Calgary, Calgary, Alberta, Canada. wjeteske@ucalgary.ca

ABSTRACT
There has been a lot of interest in recent years in using inertial sensors (accelerometers and gyroscopes) to monitor movement disorder motion and monitor the efficacy of treatment options. Two of the most prominent movement disorders, which are under evaluation in this research paper, are essential tremor (ET) and Parkinson's disease (PD). These movement disorders are first evaluated to show that ET and PD motion often depict more (tremor) motion content in the 3-12 Hz frequency band of interest than control data and that such tremor motion can be characterized using inertial sensors. As well, coherence analysis is used to compare between pairs of many of the six degrees-of-freedom of motions under evaluation, to determine the similarity in tremor motion for the various degrees-of-freedom at different frequency bands of interest. It was quite surprising that this coherence analysis depicts that there is a statistically significant relationship using coherence analysis when differentiating between control and effectively medicated PD motion. The statistical analysis uncovers the novel finding that PD medication induced dyskinesia is depicted within coherence data from inertial signals. Dyskinesia is involuntary motion or the absence of intended motion, and it is a common side effect among medicated PD patients. The results show that inertial sensors can be used to differentiate between effectively medicated PD motion and control motion; such a differentiation can often be difficult to perform with the human eye because effectively medicated PD patients tend to not produce much tremor. As well, the finding that PD motion, when well medicated, does still differ significantly from control motion allows for researchers to quantify potential deficiencies in the use of medication. By using inertial sensors to spot such deficiencies, as outlined in this research paper, it is hoped that medications with even a larger degree of efficacy can be created in the future.

No MeSH data available.


Related in: MedlinePlus