Read by QxMD icon Read

Accelerometry and parkinson's disease

Aasef G Shaikh
Parkinson's disease, the most common cause of parkinsonism is often difficult to distinguish from its second most common etiology due to exposure to dopamine receptor blocking agents such as antiemetics and neuroleptics. Dual axis accelerometry was used to quantify tremor in 158 patients with parkinsonism; 62 had Parkinson's disease and 96 were clinically diagnosed with dopamine receptor blocking agent-induced parkinsonism. Tremor was measured while subjects rested arms (resting tremor), outstretched arms in front (postural tremor), and reached a target (kinetic tremor)...
February 22, 2017: Neurological Sciences
Heidemarie Zach, Michiel F Dirkx, Jaco W Pasman, Bastiaan R Bloem, Rick C Helmich
AIMS: Resting tremor in Parkinson's disease (PD) increases markedly during cognitive stress. Dopamine depletion in the basal ganglia is involved in the pathophysiology of resting tremor, but it is unclear whether this contribution is altered under cognitive stress. We test the hypothesis that cognitive stress modulates the levodopa effect on resting tremor. METHODS: Tremulous PD patients (n = 69) were measured in two treatment conditions (OFF vs. ON levodopa) and in two behavioral contexts (rest vs...
March 2017: CNS Neuroscience & Therapeutics
Heidemarie Zach, Michiel Dirkx, Jaco W Pasman, Bastiaan R Bloem, Rick C Helmich
BACKGROUND: Dopaminergic medication adjustments in Parkinson's disease are often solely based on patient reports. However, it is unclear how well patient-based ratings of the levodopa response correlate with clinician-based ratings, and whether this correlation differs between motor symptoms. Here we compare patient-clinician agreement for the effect of levodopa on resting tremor and bradykinesia/rigidity. Furthermore, given patients' reports that tremor is most troublesome during stress, we test for differences in patient-clinician agreement between tremor at rest and stress-induced tremor...
November 27, 2016: Parkinsonism & related Disorders
C Y Xu, H M Yin, B R Zhang
Objective: To investigate the electrophysiological features of tremor intensity, frequency and frequency dispersion of Parkinsonian (PT group) and essential (ET group) tremors using accelerometry. Methods: The amplitude, frequency and frequency dispersion of rest tremor, postural tremor and the influence of weight on tremor of 35 PT patients and 40 ET patients in Department of Neurology, the Second Affiliated Hospital Zhejiang University School of Medicine from May 2015 to April 2016 were retrospectively analyzed and compared...
November 8, 2016: Zhonghua Yi Xue za Zhi [Chinese medical journal]
Sarah J Ozinga, Susan M Linder, Jay L Alberts
OBJECTIVE: To determine the accuracy of inertial measurement unit data from a mobile device using the mobile device relative to posturography to quantify postural stability in individuals with Parkinson disease (PD). DESIGN: Criterion standard. SETTING: Motor control laboratory at a clinic. PARTICIPANTS: A sample (N=28) of individuals with mild to moderate PD (n=14) and age-matched community-dwelling individuals without PD (n=14) completed the study...
April 2017: Archives of Physical Medicine and Rehabilitation
Michelle Braybrook, Sam O'Connor, Philip Churchward, Thushara Perera, Parisa Farzanehfar, Malcolm Horne
BACKGROUND: While tremor in Parkinson's Disease (PD) can be characterised in the consulting room, its relationship to treatment and fluctuations can be clinically helpful. OBJECTIVE: To develop an ambulatory assessment of tremor of PD. METHODS: Accelerometry data was collected using the Parkinson's KinetiGraph System (PKG, Global Kinetics). An algorithm was developed, which could successfully distinguish been subjects with a resting or postural tremor that involved the wrist whose frequency was greater than 3 Hz...
October 19, 2016: Journal of Parkinson's Disease
Alexander P Turner, Michael A Lones, Martin A Trefzer, Stephen L Smith, Stuart Jamieson, Jane E Alty, Jeremy Cosgrove, Andy M Tyrrell
Levodopa is a drug that is commonly used to treat movement disorders associated with Parkinson's disease. Its dosage requires careful monitoring, since the required amount changes over time, and excess dosage can lead to muscle spasms known as levodopa-induced dyskinesia. In this work, we investigate the potential for using epiNet, a novel artificial gene regulatory network, as a classifier for monitoring accelerometry time series data collected from patients undergoing levodopa therapy. We also consider how dynamical analysis of epiNet classifiers and their transitions between different states can highlight clinically useful information which is not available through more conventional data mining techniques...
August 2016: Bio Systems
Ervin Sejdić, Kristin A Lowry, Jennica Bellanca, Subashan Perera, Mark S Redfern, Jennifer S Brach
OBJECTIVE: Evaluating stride events can be valuable for understanding the changes in walking due to aging and neurological diseases. However, creating the time series necessary for this analysis can be cumbersome. In particular, finding heel contact and toe-off events which define the gait cycles accurately are difficult. METHOD: We proposed a method to extract stride cycle events from tri-axial accelerometry signals. We validated our method via data collected from 14 healthy controls, 10 participants with Parkinson's disease and 11 participants with peripheral neuropathy...
2016: IEEE Journal of Translational Engineering in Health and Medicine
Nivedita Khobragade, Daniel Graupe, Daniela Tuninetti
This paper describes the application of the LAMSTAR (LArge Memory STorage and Retrieval) neural network for prediction of onset of tremor in Parkinson's disease (PD) patients to allow for on-off adaptive control of Deep Brain Stimulation (DBS). Currently, the therapeutic treatment of PD by DBS is an open-loop system where continuous stimulation is applied to a target area in the brain. This work demonstrates a fully automated closed-loop DBS system so that stimulation can be applied on-demand only when needed to treat PD symptoms...
2015: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Mitsuru Yoneyama, Hiroshi Mitoma, Nobuo Sanjo, Maya Higuma, Hiroo Terashi, Takanori Yokota
Accelerometry-based gait analysis is a promising approach in obtaining insightful information on the gait characteristics of patients with neurological disorders such as dementia and Parkinson's disease (PD). In order to improve its practical use outside the laboratory or hospital, it is required to design new metrics capable of quantifying ambulatory gait and their extraction procedures from long-term acceleration data. This paper presents a gait analysis method developed for such a purpose. Our system is based on a single trunk-mounted accelerometer and analytical algorithm for the assessment of gait behavior that may be context dependent...
August 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Thushara Perera, Shivanthan A C Yohanandan, Hugh J McDermott
Since the advent of electromyogram recording, precise measures of tremor and gait have been used to study movement disorders such as Parkinson's disease. Now, a wide range of accelerometers and other motion-tracking technologies exist to better inform researchers and clinicians, yet such systems are rarely tested for accuracy or suitability before use. Our inexpensive test-rig can produce sinusoidal displacements using a simple cantilever system driven by a subwoofer. Controlled sinusoids were generated using computer software, and the displacement amplitudes of the test-rig were verified with fiducial marker tracking...
March 2016: Medical & Biological Engineering & Computing
Alexandre Millecamps, Kristin A Lowry, Jennifer S Brach, Subashan Perera, Mark S Redfern, Ervin Sejdić
Gait accelerometry is an important approach for gait assessment. Previous contributions have adopted various pre-processing approaches for gait accelerometry signals, but none have thoroughly investigated the effects of such pre-processing operations on the obtained results. Therefore, this paper investigated the influence of pre-processing operations on signal features extracted from gait accelerometry signals. These signals were collected from 35 participants aged over 65years: 14 of them were healthy controls (HC), 10 had Parkinson׳s disease (PD) and 11 had peripheral neuropathy (PN)...
July 2015: Computers in Biology and Medicine
Malcolm K Horne, Sarah McGregor, Filip Bergquist
INTRODUCTION: Establishing the presence and severity of fluctuations is important in managing Parkinson's Disease yet there is no reliable, objective means of doing this. In this study we have evaluated a Fluctuation Score derived from variations in dyskinesia and bradykinesia scores produced by an accelerometry based system. METHODS: The Fluctuation Score was produced by summing the interquartile range of bradykinesia scores and dyskinesia scores produced every 2 minutes between 0900-1800 for at least 6 days by the accelerometry based system and expressing it as an algorithm...
2015: PloS One
Silvia Del Din, Alan Godfrey, Lynn Rochester
Measurement of gait is becoming important as a tool to identify disease and disease progression, yet to date its application is limited largely to specialist centers. Wearable devices enables gait to be measured in naturalistic environments, however questions remain regarding validity. Previous research suggests that when compared with a laboratory reference, measurement accuracy is acceptable for mean but not variability or asymmetry gait characteristics. Some fundamental reasons for this have been presented, (e...
May 2016: IEEE Journal of Biomedical and Health Informatics
Bryan Lieber, Blake E S Taylor, Geoff Appelboom, Guy McKhann, E Sander Connolly
Patients with Parkinson disease (PD) often suffer from a resting tremor, bradykinesia, rigidity, postural instability, and gait difficulty. Determining a patient's candidacy for deep-brain stimulation (DBS) surgery and tracking their clinical response postoperatively requires that the frequency, duration, and severity of these symptoms be characterized in detail. Conventional means of assessing these symptoms, however, rely heavily on patient self-reporting, which often fails to provide the necessary level of detail...
August 2015: World Neurosurgery
John-Stuart Brittain, Hayriye Cagnan, Arpan R Mehta, Tabish A Saifee, Mark J Edwards, Peter Brown
Parkinson's disease (PD) and essential tremor (ET) are the two most common movement disorders. Both have been associated with similar patterns of network activation leading to the suggestion that they may result from similar network dysfunction, specifically involving the cerebellum. Here, we demonstrate that parkinsonian tremors and ETs result from distinct patterns of interactions between neural oscillators. These patterns are reflected in the tremors' derived frequency tolerance, a novel measure readily attainable from bedside accelerometry...
January 14, 2015: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
A M Ardi Handojoseno, James M Shine, Tuan N Nguyen, Yvonne Tran, Simon J G Lewis, Hung T Nguyen
Freezing of Gait (FOG) is a common symptom in the advanced stages of Parkinson's disease (PD), which significantly affects patients' quality of life. Treatment options offer limited benefit and there are currently no mechanisms able to effectively detect FOG before it occurs, allowing time for a sufferer to avert a freezing episode. Electroencephalography (EEG) offers a novel technique that may be able to address this problem. In this paper, we investigated the univariate and multivariate EEG features determined by both Fourier and wavelet analysis in the confirmation and prediction of FOG...
September 2015: IEEE Transactions on Neural Systems and Rehabilitation Engineering
Daryl J Wile, Ranjit Ranawaya, Zelma H T Kiss
BACKGROUND: Distinguishing the postural re-emergent tremor of Parkinson disease from essential tremor can be difficult clinically. Use of accelerometry to aid diagnosis is limited to laboratory settings. We sought to record and differentiate these tremors using a smart watch device in an outpatient clinic. NEW METHOD: 41 patients were enrolled. Recordings were made with a smart watch device on the predominantly affected hand (all patients), and simultaneously with an analog accelerometer (10 patients) with hands at rest and outstretched...
June 15, 2014: Journal of Neuroscience Methods
Mitsuru Yoneyama, Yasuyuki Okuma, Hiroya Utsumi, Hiroo Terashi, Hiroshi Mitoma
Turnover is a typical intermittent body movement while asleep. Exploring its behavior may provide insights into the mechanisms and management of sleep. However, little is understood about the dynamic nature of turnover in healthy humans and how it can be modified in disease. Here we present a detailed analysis of turnover signals that are collected by accelerometry from healthy elderly subjects and age-matched patients with neurodegenerative disorders such as Parkinson's disease. In healthy subjects, the time intervals between consecutive turnover events exhibit a well-separated bimodal distribution with one mode at ⩽10 s and the other at ⩾100 s, whereas such bimodality tends to disappear in neurodegenerative patients...
March 2014: Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
Ariane Keitel, Stefano Ferrea, Martin Südmeyer, Alfons Schnitzler, Lars Wojtecki
Expectation contributes to placebo and nocebo responses in Parkinson's disease (PD). While there is evidence for expectation-induced modulations of bradykinesia, little is known about the impact of expectation on resting tremor. Subthalamic nucleus (STN) deep brain stimulation (DBS) improves cardinal PD motor symptoms including tremor whereas impairment of verbal fluency (VF) has been observed as a potential side-effect. Here we investigated how expectation modulates the effect of STN-DBS on resting tremor and its interaction with VF...
2013: PloS One
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"