3
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The Rehapiano—Detecting, Measuring, and Analyzing Action Tremor Using Strain Gauges

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          We have developed a device, the Rehapiano, for the fast and quantitative assessment of action tremor. It uses strain gauges to measure force exerted by individual fingers. This article verifies the device’s capability to measure and monitor the development of upper limb tremor. The Rehapiano uses a precision, 24-bit, analog-to-digital converter and an Arduino microcomputer to transfer raw data via a USB interface to a computer for processing, database storage, and evaluation. First, our experiments validated the device by measuring simulated tremors with known frequencies. Second, we created a measurement protocol, which we used to measure and compare healthy patients and patients with Parkinson’s disease. Finally, we evaluated the repeatability of a quantitative assessment. We verified our hypothesis that the Rehapiano is able to detect force changes, and our experimental results confirmed that our system is capable of measuring action tremor. The Rehapiano is also sensitive enough to enable the quantification of Parkinsonian tremors.

          Related collections

          Most cited references35

          • Record: found
          • Abstract: found
          • Article: not found

          Tremor Suppression by Rhythmic Transcranial Current Stimulation

          Results Experiment 1: Phase Drift Drift results from a single patient displaying tremor-dominant Parkinson’s disease are presented in Figure 1 (see Supplemental Experimental Procedures available online). Tremor amplitude is clearly dependent on the phase alignment between TACS and tremor signals (Figure 1A). Tremor amplitudes in this case are demonstrably lower in quadrant IV (6.2% decrease; see Figure 1B) and higher when tremor leads TACS in quadrant I (8.2% increase). Tremor amplitude can also be assessed in relation to all combinations of stimulation and tremor phase (Figure 1C). In the case of tremor-frequency stimulation, we confirm a diagonal relationship, i.e., tremor amplitude depends only on the phase difference and not the absolute phase of tremor and stimulation waveforms. Tremor syndromes are often associated with cortical activity at both tremor frequency and at double this frequency [6]. We therefore tested whether transcranial stimulation at the basic tremor rhythm or its first harmonic was more effective in modulating peripheral tremor. Maximum attained suppression and excitation amplitudes were both clearly lower in the harmonic case than during tremor-frequency stimulation (Figure 1D). Drift results from a cohort of n = 12 patients displaying tremor-dominant Parkinson’s disease are presented in Figure 2. Stimulation induced a small fluctuation in tremor frequency away from the patients’ intrinsic tremor frequency, causing a mean absolute change (±SD) of 0.4 ± 0.7 Hz relative to the sham condition (see Figure S1). Because of this and the difference in intrinsic tremor frequency, the drift interval (time to complete a full cycle of phase alignment) varied between patients, taking on average 3.3 ± 2.2 s. When aligned to individual peak suppression angles, tremor amplitude decreased by an average of 6.9% ± 3.4% (t(11) = −7.06, p < 0.001, left-tailed test, corrected for two multiple comparisons by the false discovery rate [FDR], see Supplemental Experimental Procedures). Conversely, alignment to the peak excitation angle saw tremor increase by 7.4% ± 3.7% (t(11) = 7.06, p < 0.001, right-tailed test). The phase alignments producing the greatest increase and decrease in tremor amplitude were then determined per patient. Group average drift profiles and preferential phase angles are presented in Figure 2. Preferential phase alignment can be considered at the group level by calculating the mean resultant length (MRL) and comparing this value to an empirical null distribution (see Supplemental Experimental Procedures). The phase alignment for excitation displays a significant group preference toward quadrant IV (MRL = 0.8, p < 0.01) with a mean orientation of −28° which, given a 5 Hz tremor, is equivalent to a temporal delay of 16 ms with TACS leading tremor. The orientation preference for peak suppression was likewise significant (MRL = 0.5, p < 0.04) with a spread of preferred orientations spanning quadrants II and III. The fact that peak suppression and excitation angles were not in antiphase raises the possibility that either the underlying cortical activity is not sinusoidal and symmetrical at any point in time or that we are modulating independent cortical rhythms. To clarify this, we rotated all vectors relative to their individual excitation peaks. When aligned in this way, the peak suppression angle shows a significant preference toward quadrant III with a mean orientation of −139° (MRL = 0.8, p < 0.01). A weak, often asymmetric, entrainment is also evident in some patients (Figures S2A and S2B). Thus, peak suppression and excitation are themselves phase locked in line with interaction with a single cortical rhythm, albeit one that may not be perfectly sinusoidal and may therefore have harmonic elements. Our cohort also confirmed that stimulation at tremor frequency was more effective at suppressing tremor than stimulation at the first-harmonic rhythm (mean change −7.1% ± 3.6% versus −4.0% ± 3.6%, paired t(8) = −3.26, p < 0.02). Likewise, the relative increase in tremor amplitude was significantly greater during tremor-frequency stimulation than during first-harmonic stimulation (7.4% ± 3.8% versus 4.3% ± 2.8%, paired t(8) = 3.02, p < 0.02). Finally, weaker rhythms appear more amenable to intervention (Figure S2C). Experiment 2: Phase Tracking Experiment 1 provided proof of the principle that phase-aligned rhythmic stimulation can attenuate Parkinsonian tremor through phase cancellation, but the suppressive effects were modest and mixed with periods during which tremor was exaggerated. We reasoned that sustained phase cancellation would lead to greater suppression of peripheral tremor through adaptation. To achieve this, we again stimulated at tremor frequency in a subset of five patients, but this time tracked the phase of the peripheral tremor so as to continuously deliver stimulation at a specified phase alignment with respect to the on-going tremor (and hence the cortical oscillations). We first sought to reconstruct the drift profile observed during experiment 1 to confirm its utility in informing on effective phase alignments. Thus in case 10 we delivered phase-locked stimulation for 30 s at 9° increments (random ordering) around the phase circle (40 segments). We compute the mean tremor amplitude per segment and display this versus orientation angle (Figure 3). Compared to the drift response, the two profiles are remarkably similar (correlation coefficient R2 = 0.75; cross-correlation peaks at zero lag). However, one clear distinction between the drift and tracking results was an order of magnitude increase (×13.9 best fit) in effect size under tracking. To confirm that our results related specifically to the phase of stimulation, we assessed the phase difference between peripheral tremor and stimulation during blocks of observed tremor suppression and excitation (see Supplemental Experimental Procedures). Phase-difference histograms demonstrate that during tremor suppression (similarly excitation), phase alignment favored those angles predicted through the drift (and tracking) analysis. Overall, suppression was associated with a mean tremor reduction of 52% (a factor of 2.08) and an increase of 348% (a factor of 3.48). A sample trace showing suppressive phase-locked stimulation interacting with a 30 s tremor segment is presented in Figure 4. Note how rest tremor is completely suppressed before and beyond the end of the stimulation train. Phase-locked stimulation was trialed on a further four patients (cases 6, 8, 13, 14). Across all five patients, 30 s of sustained stimulation about the peak suppression angle led to a reduction in tremor amplitude of between 21% and 53% (mean 42% ± 13%, representing a factor decrease of 1.80 ± 0.35). Discussion We have demonstrated a potentially powerful noninvasive therapy for resting tremor in Parkinson’s disease (PD). TACS provides both a means to probe the tremor circuit, determining the optimal parameters for tremor suppression, and the rhythmic stimulation necessary for phase cancellation. Rhythmic transcranial stimulation has already demonstrated behavioral influences on memory [7] and motor circuits [4, 5] in healthy subjects. It is believed that TACS induces subthreshold changes in the membrane potentials of local neurons that then shape the likelihood of affected neurons firing in response to natural inputs [8]. Thus the effects of TACS are dependent on spontaneous activity. This has been confirmed experimentally, where the strength of entrainment of cortical spiking induced by stimulation has been shown to be dependent upon the behavioral state of the animal [9]. TACS therefore exerts a modulatory but nondominant influence. Our approach utilizes the peripheral tremor as a proxy for cortical oscillatory activity, providing a noninvasive means of identifying phase dependency for cortical phase cancellation. Stimulation was significantly more effective when delivered at tremor frequency than at the first harmonic rhythm. This is of particular interest because a growing body of evidence suggests, at least in PD, that the fundamental and first harmonic rhythms play distinct roles in tremor generation [10]. Indeed, it is believed that these rhythms might originate from separate cortical sources [11] and have been attributed with distinct functional roles [12]. The extent of sensory contributions to the central tremor-frequency oscillation is also debated [10, 13] and whether we are directly modulating efferent drive or suppressing inputs to the cortex such as afferent reinforcement remains to be clarified. Prolonged phase-locked stimulation invoked much stronger amplitude effects than uncoupled stimulation. This supports the premise that TACS may induce adaptive changes in the underlying tremor circuit (see [8]). Finally, it should be highlighted that interference through phase cancellation preferentially targets tremor-related oscillations (those phase locked to the tremor) and should therefore leave physiological patterns of synchronization relatively unaffected (see Figure S3), even when those frequencies overlap. Tremor reduction when the optimal suppressive phase was sustained for 30 s was almost 50% across our Parkinson’s disease patients. This is less than the effect generally achieved with deep brain stimulation but the latter is associated with significant risks and is not suitable for all patients. Transcranial phase cancellation, on the other hand, is noninvasive and the effects achieved even in this pilot study were not trivial; by way of comparison, the tremor suppression was equivalent to the efficacy of Primodone and Propranolol, two established and widely used treatments for essential tremor [14]. Indeed, it is possible that the efficacy of phase-cancelling transcranial stimulation could be further improved by a higher resolution of frequency tracking, given that stimulation during tracking only matched tremor frequency to the nearest Hertz and in and of itself induced changes in the tremor frequency. Longer periods of stimulation at the optimal phase and frequency might also improve efficacy. In conclusion, we have demonstrated attenuation of Parkinsonian rest tremor by noninvasive phase cancellation. Although the approach remains to be refined and sustained benefit with chronic stimulation demonstrated, it is exciting in that it may potentially leverage intrinsic mechanisms of plasticity and leave oscillations subserving physiological processes relatively unaffected. In the future, phase-cancelling stimulation could be delivered chronically with minimally invasive subcutaneous or extradural electrodes. In this form, phase cancellation could provide a generic approach to therapeutic intervention, suitable not only for tremor but also for other disease impairments caused by synchronized oscillations [15, 16]. Experimental Procedures The study was performed with the approval of the NRES Ethics Committee South Central-Oxford C and the informed, written consent of all subjects. See Supplemental Experimental Procedures for further details.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Definition and classification of hyperkinetic movements in childhood.

            Hyperkinetic movements are unwanted or excess movements that are frequently seen in children with neurologic disorders. They are an important clinical finding with significant implications for diagnosis and treatment. However, the lack of agreement on standard terminology and definitions interferes with clinical treatment and research. We describe definitions of dystonia, chorea, athetosis, myoclonus, tremor, tics, and stereotypies that arose from a consensus meeting in June 2008 of specialists from different clinical and basic science fields. Dystonia is a movement disorder in which involuntary sustained or intermittent muscle contractions cause twisting and repetitive movements, abnormal postures, or both. Chorea is an ongoing random-appearing sequence of one or more discrete involuntary movements or movement fragments. Athetosis is a slow, continuous, involuntary writhing movement that prevents maintenance of a stable posture. Myoclonus is a sequence of repeated, often nonrhythmic, brief shock-like jerks due to sudden involuntary contraction or relaxation of one or more muscles. Tremor is a rhythmic back-and-forth or oscillating involuntary movement about a joint axis. Tics are repeated, individually recognizable, intermittent movements or movement fragments that are almost always briefly suppressible and are usually associated with awareness of an urge to perform the movement. Stereotypies are repetitive, simple movements that can be voluntarily suppressed. We provide recommended techniques for clinical examination and suggestions for differentiating between the different types of hyperkinetic movements, noting that there may be overlap between conditions. These definitions and the diagnostic recommendations are intended to be reliable and useful for clinical practice, communication between clinicians and researchers, and for the design of quantitative tests that will guide and assess the outcome of future clinical trials.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Assessment of interrater and intrarater reliability of the Fahn-Tolosa-Marin Tremor Rating Scale in essential tremor.

              The purpose of this study was to evaluate interrater and intrarater reliability of the Fahn-Tolosa-Marin Tremor Rating Scale (TRS) in essential tremor (ET). Proper treatment of ET is contingent upon correct assessment of the severity, loss of function, and disability related to tremor. Videotape recordings of 17 subjects with ET evaluated with the TRS were produced and sent to 59 raters. Once the raters returned the videotape and completed the score sheet, they were mailed a second tape with the same recordings presented in a different order. In the interrater reliability evaluation, modified Kappa statistics for seven tremor type composites ranged from 0.10 to 0.65 in the first videotape and 0.17 to 0.62 in the second videotape. Interrater reliabilities were greater for Part A items (magnitude of tremor in different body parts) than for Part B items (tremor in writing and drawings) of the TRS. The average Spearman correlation was 0.87, indicating very good consistency between the two videotapes, but correlations for Part A were somewhat better than for Part B. It is best when the same rater performs repeated measures of tremor on a patient, particularly when judging tremor in handwriting and drawings. Training of raters on use of the TRS would help standardize judgement.
                Bookmark

                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                24 January 2020
                February 2020
                : 20
                : 3
                : 663
                Affiliations
                [1 ]Department of Cybernetics and Artificial Intelligence, Faculty of Electrical Engineering and Informatics, Technical University of Košice, Letná 9, 07602 Košice, Slovakia; norbert.ferencik@ 123456tuke.sk (N.F.); miroslav.jascur@ 123456tuke.sk (M.J.)
                [2 ]The Biorobotics Institute, Scuola Superiore Sant’Anna, 560 25 Pisa, Italy; filippo.cavallo@ 123456santannapisa.it
                Author notes
                [* ]Correspondence: marek.bundzel@ 123456tuke.sk ; Tel.: +421-55-602-2564
                Author information
                https://orcid.org/0000-0002-9648-5799
                https://orcid.org/0000-0002-1319-1243
                https://orcid.org/0000-0001-7432-5033
                Article
                sensors-20-00663
                10.3390/s20030663
                7038321
                31991705
                6cb95ec3-64f7-4666-89a1-a0ce19ba9ce2
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 18 November 2019
                : 23 January 2020
                Categories
                Article

                Biomedical engineering
                strain gauge,tremor quantification,parkinson’s disease,action tremors
                Biomedical engineering
                strain gauge, tremor quantification, parkinson’s disease, action tremors

                Comments

                Comment on this article