ArticlePloS one2017
Differential diagnosis between Parkinson's disease and essential tremor using the smartphone's accelerometer.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed, 108 citations in OpenAlex.
- Wearable sensor-based gait analysis to discriminate early Parkinson's disease from essential tremor.Journal of neurology · 2023Trial
- Smartphone-Based Digital Phenotyping Across Health Conditions: Scoping Review.Journal of medical Internet research · 2026Article
- Characterising Hand Tremor in Adult Kidney Transplant Recipients: Its Impact on Daily Activities and Relationship With Tacrolimus Administration and Exposure.Nephrology (Carlton, Vic.) · 2026Article
- A Vision-Based Algorithm for Assessing Head and Hand Tremor: Development and Validation Against IMU Sensors.Sensors (Basel, Switzerland) · 2026Article
- Evolution and trends in tremor diagnosis and differential diagnosis-a bibliometric study.Frontiers in aging neuroscience · 2026Review
- Essential Tremor and Digital Biomarkers: A Scoping Review Using the TRACE Framework to Map Readiness for Clinical Trials and Routine Practice.Tremor and other hyperkinetic movements (New York, N.Y.) · 2026Article
- A comprehensive guide to digital neurology. An update on current development on digital neurology derived from the Digital Neuro Hub project.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Review
- Quantification of motor abnormalities with instrumental tasks among adolescents with first-episode schizophrenia and depressive disorders.Scientific reports · 2025Article
- RT-ring: a small wearable device for tremulous Parkinson's disease diagnosis in primary care.Frontiers in neurology · 2025Article
- A multimodal fusion network based on a cross-attention mechanism for the classification of Parkinsonian tremor and essential tremor.Scientific reports · 2024Article
- Validation and application of computer vision algorithms for video-based tremor analysis.NPJ digital medicine · 2024Article
- Upper limb intention tremor assessment: opportunities and challenges in wearable technology.Journal of neuroengineering and rehabilitation · 2024Review
- Article
- Development of a New Wearable Device for the Characterization of Hand Tremor.Bioengineering (Basel, Switzerland) · 2023Article
- Mobile Applications for Resting Tremor Assessment in Parkinson's Disease: A Systematic Review.Journal of clinical medicine · 2023Review
- A smart devices based secondary prevention program for cerebrovascular disease patients.Frontiers in neurology · 2023Article
- Diagnosis and Treatment of Tremor in Parkinson's Disease Using Mechanical Devices.Life (Basel, Switzerland) · 2022Review
- Assessing Cerebellar Disorders with Wearable Inertial Sensor Data Using Time-Frequency and Autoregressive Hidden Markov Model Approaches.Sensors (Basel, Switzerland) · 2022Article
- Deep Clinical Phenotyping of Parkinson's Disease: Towards a New Era of Research and Clinical Care.Phenomics (Cham, Switzerland) · 2022Review
- Wearable sensors during drawing tasks to measure the severity of essential tremor.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe differential diagnosis between patients with essential tremor (ET) and those with Parkinson's disease (PD) whose main manifestation is tremor may be difficult unless using complex neuroimaging techniques such as 123I-FP-CIT SPECT. We considered that using smartphone's accelerometer to stablish a diagnostic test based on time-frequency differences between PD an ET could support the clinical diagnosis.
methodsThe study was carried out in 17 patients with PD, 16 patients with ET, 12 healthy volunteers and 7 patients with tremor of undecided diagnosis (TUD), who were re-evaluated one year after the first visit to reach the definite diagnosis. The smartphone was placed over the hand dorsum to record epochs of 30 s at rest and 30 s during arm stretching. We generated frequency power spectra and calculated receiver operating characteristics curves (ROC) curves of total spectral power, to establish a threshold to separate subjects with and without tremor. In patients with PD and ET, we found that the ROC curve of relative energy was the feature discriminating better between the two groups. This threshold was then used to classify the TUD patients.
resultsWe could correctly classify 49 out of 52 subjects in the category with/without tremor (97.96% sensitivity and 83.3% specificity) and 27 out of 32 patients in the category PD/ET (84.38% discrimination accuracy). Among TUD patients, 2 of 2 PD and 2 of 4 ET were correctly classified, and one patient having PD plus ET was classified as PD.
conclusionsBased on the analysis of smartphone accelerometer recordings, we found several kinematic features in the analysis of tremor that distinguished first between healthy subjects and patients and, ultimately, between PD and ET patients. The proposed method can give immediate results for the clinician to gain valuable information for the diagnosis of tremor. This can be useful in environments where more sophisticated diagnostic techniques are unavailable.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.