Ambulatory Objective Assessment of Tremor in Parkinson's Disease

Hoff, Jorrit I.; Wagemans, E. A. H.; Hilten, Bob J. van

doi:10.1097/00002826-200109000-00004

Cited by 57 publications

(32 citation statements)

References 8 publications

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“…[3][4][5] Body-worn accelerometers have shown great promise as an objective measure of PD symptoms. Accurate detection of tremor, 6 bradykinesia, 7 and dyskinesia 8 has previously been demonstrated, and accelerometers have been used for prolonged periods of remote symptom monitoring. 9 Remote monitoring of patients' symptoms may enable more informed treatment decisions to be made, and the field has been identified as a key research area for the PD community.…”

Section: Introductionmentioning

confidence: 99%

Body-Worn Sensors in Parkinson's Disease: Evaluating Their Acceptability to Patients

Fisher

Hammerla

Rochester

et al. 2016

Telemedicine and e-Health

108

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Background: Remote monitoring of symptoms in Parkinson's disease (PD) using body-worn sensors would assist treatment decisions and evaluation of new treatments. To date, a rigorous, systematic evaluation of the acceptability of body-worn sensors in PD has not been undertaken. Materials and Methods: Thirty-four participants wore bilateral wrist-worn sensors for 4 h in a research facility and then for 1 week at home. Participants' experiences of wearing the sensors were evaluated using a Likert-style questionnaire after each phase. Qualitative data were collected through free-text responses. Differences in responses between phases were assessed by using the Wilcoxon rank-sum test. Content analysis of qualitative data was undertaken. ''Non-wear time'' was estimated via analysis of accelerometer data for periods when sensors were stationary. Results: After prolonged wearing there was a negative shift in participants' views on the comfort of the sensor; problems with the sensor's strap were highlighted. However, accelerometer data demonstrated high patient concordance with wearing of the sensors. There was no evidence that participants were less likely to wear the sensors in public. Most participants preferred wearing the sensors to completing symptom diaries. Conclusions: The finding that participants were not less likely to wear the sensors in public provides reassurance regarding the ecological validity of the

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Section: Introductionmentioning

confidence: 99%

Body-Worn Sensors in Parkinson's Disease: Evaluating Their Acceptability to Patients

Fisher

Hammerla

Rochester

et al. 2016

Telemedicine and e-Health

108

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“…The severity of tremor can be evaluated using clinical rating scales, such as the Fahn-Tolosa-Marin score (Fahn score) [1]. Tremor can also be considered as a physical phenomenon, characterized through actigraphic, accelerometric, electromyographic, gyroscopic, or digitizing tablet recordings [2,3,4,5,6,7,8,9,10,11]. …”

Section: Introductionmentioning

confidence: 99%

Using the Accelerometers Integrated in Smartphones to Evaluate Essential Tremor

Senova¹,

Querlioz

Thiriez

et al. 2015

Stereotact Funct Neurosurg

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Background/Aims: Evaluation of tremor constitutes a crucial step from the diagnosis to the initial treatment and follow-up of patients with essential tremor. The severity of tremor can be evaluated using clinical rating scales, accelerometry, or electrophysiology. Clinical scores are subjectively given, may be affected by intra- and interevaluator variations due to different experience, delays between consultations, and subtle changes in tremor severity. Existing medical devices are not routinely used: they are expensive, time-consuming, not easily accessible. We aimed at showing that a smartphone application using the accelerometers embedded in smartphones is effective for quantifying the tremor of patients presenting with essential tremor. Methods: We developed a free iPhone/iPod application, Itremor, and evaluated different parameters on 8 patients receiving deep brain stimulation of the ventral intermediate nucleus of the thalamus: average and maximum accelerations, time above 1 g of acceleration, peak frequency, typical magnitude of tremor, for postural and action tremors, on and off stimulation. Results: We demonstrated good correlations between the parameters measured with Itremor and clinical score in all conditions. Itremor evaluation enabled higher discriminatory power and degree of reproducibility than clinical scores. Conclusion: Itremor can be used for routine objective evaluation of essential tremor, and may facilitate adjustment of the treatment.

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“…Previously, different methods have been developed to detect and quantify tremor. For example, accelerometers [15], [16], [17], [18], [19], [20], [21], gyroscopes [22], and electromyography (EMG) [23], [24], [25] have been used extensively to obtain quantitative measurements of tremor. Despite of the difference of devices and systems, all of these methods are focusing on the tremor itself.…”

Section: Introductionmentioning

confidence: 99%

Detection and analysis of Tremor using a system based on smart device and NoSQL database

Zheng

Ordieres‐Meré

2015

2015 International Conference on Industrial Engineering and Systems Management (IESM)

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Abstract-Tremor is the most common symptoms of Parkinson's Disease (PD) and Essential Tremor (ET). Its detection and analysis during daily living plays a crucial role in the treatment of PD and ET patients. It is typically assessed in the clinic with certain tremor rating scales, which are qualitative, subjectdependent and do not necessarily reflect the real situation of the patient. In this paper, a system composed of a smartwatch, a smartphone and a NoSQL database sever is used to monitor the movements of the patients. A novel data analysis method is proposed to detect tremor and identify the connected actions. Tremor can be detected on the basis of the movement frequency difference and voluntary actions can also be recognized based on the rich information from the collected data. It helps clinicians to analyze the relationship between the tremor and a certain action. A series of simulated experiments are conducted to demonstrate the feasibility of the proposed system and data analysis method. The result shows that tremor happened during different situations can be detected with an adequate accuracy with the data collected by the proposed system. The actions around the tremor can also be identified.

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Ambulatory Objective Assessment of Tremor in Parkinson's Disease

Cited by 57 publications

References 8 publications

Body-Worn Sensors in Parkinson's Disease: Evaluating Their Acceptability to Patients

Body-Worn Sensors in Parkinson's Disease: Evaluating Their Acceptability to Patients

Using the Accelerometers Integrated in Smartphones to Evaluate Essential Tremor

Detection and analysis of Tremor using a system based on smart device and NoSQL database

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