Evidence map›Paper›PMID 40030725›Full record

ArticleIEEE transactions on bio-medical engineering2025

Ultrasound Imaging Triggered Tremor Suppression With Personalized Afferent Stimulation Frequency.

Ashwin Iyer, Xiangming Xue, Vidisha Ganesh, Xiaoning Jiang, Caterina Gallippi, Daniel Roque, Nitin Sharma

Abstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Ultrasound-Informed State Estimation of Wrist Tremor Dynamics via Koopman Operator for Personalized Sensory Peripheral Nerve Stimulation.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026
    Article
  2. Article
  3. Improving Wrist Tremor Suppression via Targeted Application of Afferent and Interferential Stimulation Techniques.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2025
    Article
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

7 authors.

Ashwin Iyer
Xiangming Xue
Vidisha Ganesh
Xiaoning Jiang
Caterina Gallippi
Daniel Roque
Nitin Sharma

Funding

Data-driven Modeling and Ultrasound-based Control of Afferent Nerve Stimulation for Tremor SuppressionR21EB032059 · NIBIB · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI SHARMA, NITIN · 2021 to 2023
$526k
NIBIB NIH HHS R21 EB032059
6 · The paper itself

Abstract

objectiveAfferent stimulation of peripheral nerves has emerged as a non-invasive approach to suppress wrist tremors in persons with Essential Tremor (ET) and Parkinson' s disease (PD). Electromyography (EMG), a standard sensing modality for tremor characterization during afferent stimulation, has a significant drawback. Due to stimulation artifacts, measuring tremor frequency with EMG and applying stimulation simultaneously is often tricky. This paper investigates a stimulation artifact-free approach that uses real-time ultrasound (US) imaging-derived signals to cue afferent stimulation.

methodsWe derived a real-time US imaging-based tissue displacement metric to characterize the wrist tremor in participants with PD or ET. We also compared the metric' s feasibility in detecting the wrist tremor with conventional sensors. We further determined an effective afferent stimulation frequency for each participant that achieved the best tremor suppression. Finally, the metric was evaluated to trigger afferent stimulation (on or off) on the onset or subsidence of the wrist tremor in four participants with PD or ET (two PD, two ET).

resultsUltrasound imaging can effectively measure the tremor frequency with no significant difference from gold-standard sensors such as EMG and IMU. The US metric-triggered personalized stimulation frequency achieved tremor suppression ratios ranging from 20-73 % in two PD and two ET participants.

conclusionThese findings indicate that a stimulation artifact-free US-imaging-based metric can simultaneously measure individual tremor characteristics and trigger afferent stimulation. SIGNIFICANCE: Our work lays the foundation for new US imaging-based, non-invasive afferent stimulation paradigms for tremor suppression that can potentially benefit more than 11 million people with ET and PD.

Indexed as

Essential TremorTremorAgedElectromyographyFemaleHumansMaleMiddle AgedParkinson DiseaseSignal Processing, Computer-AssistedUltrasonographyWrist

Identifiers

PMID40030725
PMCPMC12097434

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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.