Evidence map›Paper›PMID 41829419›Full record

ArticleSensors (Basel, Switzerland)2026

Continuous Accelerometry-Based Tremor Detection During Daily Living.

Luis Martinez, Orlando Martinez, Stephen L Schmidt, Rocio Rodriguez Capilla, Hector Gardea, Arabo Gholian, Dennis A Turner, Deborah Soonmee Won

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Luis MartinezDepartment of Electrical and Computer Engineering, California State University, Los Angeles, Los Angeles, CA 90032, USA.
Orlando MartinezDepartment of Electrical and Computer Engineering, California State University, Los Angeles, Los Angeles, CA 90032, USA.
Stephen L SchmidtDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Rocio Rodriguez CapillaDepartment of Neurosurgery, Duke University Medical Center, Durham, NC 27710, USA.
Hector GardeaDepartment of Electrical and Computer Engineering, California State University, Los Angeles, Los Angeles, CA 90032, USA.
Arabo GholianDepartment of Electrical and Computer Engineering, California State University, Los Angeles, Los Angeles, CA 90032, USA.
Dennis A TurnerDepartment of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Deborah Soonmee WonDepartment of Electrical and Computer Engineering, California State University, Los Angeles, Los Angeles, CA 90032, USA.ORCID 0000-0001-8426-3526

Funding

An Integrated Biomarker Approach to Personalized, Adaptive Deep Brain Stimulation in Parkinson DiseaseUH3NS129898 · NINDS · DUKE UNIVERSITY · PI DENNIS Alan TURNER · 2023 to 2026
$3.7M
Scalar Closed-Loop STN/GPi DBS Based on Evoked and Spontaneous PotentialsUH3NS103468 · NINDS · DUKE UNIVERSITY · PI TURNER, DENNIS ALAN · 2017 to 2021
$2.0M
National Science Foundation HRD-2112554NINDS NIH HHS UH3NS103468NINDS NIH HHS UH3NS129898
6 · The paper itself

Abstract

As a step towards advancing adaptive DBS control for Parkinson's disease, we have developed an automated algorithm that detects tremor continuously on a seconds-resolution time scale from a wearable accelerometer and present the feasibility study test results. Triaxial acceleration data were wirelessly streamed from an Apple Watch as well as acquired from an internal accelerometer in the implanted DBS device itself. The algorithm first determines if there is any high-power voluntary activity, such as walking, using the arm, or transitioning from sitting to standing; then, it identifies peaks in the 4-7 Hz Parkinsonian tremor frequency band. Peak detection for tremor activity was more accurate using the Apple Watch than the IPG. Peak and harmonic detection were also more accurate using continuous wavelet transforms than short-time Fourier transform. According to the repeated measures correlation, our detection algorithm correlated strongly with DBS intensity (Subject RZCH: r = -0.93,

Indexed as

AccelerometryActivities of Daily LivingTremorAlgorithmsHumansParkinson DiseaseWearable Electronic Devicesadaptive DBSimplanted accelerometerParkinsonian tremortremor detectionwearable accelerometer

Identifiers

PMID41829419
PMCPMC12986823

What OpenQuestion holds

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Registered trials

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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.