Evidence map›Paper›PMID 42621937›Full record

ArticleInternational IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering2025

A Low-Cost, Open-Source Wireless Platform for Real-Time Tremor Monitoring in Parkinson's Disease.

Hossein Heydari, Ebubekir E Arslan, Jhan L Okkabaz, Luciano R F Branco, Matthew J Hall, Chandra Prakash Swamy, Bryan T Klassen, Rushna P Ali, Kai J Miller, Ashwin Viswanathan and 1 more

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Article in International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering, 2025. 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
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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

11 authors.

Hossein HeydariDepartment of Bioinformatics and Computational Biology, University of Minnesota, Minneapolis, MN, USA.
Ebubekir E ArslanDepartment of Bioinformatics and Computational Biology, University of Minnesota, Minneapolis, MN, USA.
Jhan L OkkabazDepartment of Bioinformatics and Computational Biology, University of Minnesota, Minneapolis, MN, USA.
Luciano R F BrancoDepartment of Biomedical Engineering, University of Houston, Houston, TX, USA.
Matthew J HallDepartment of Biomedical Engineering, University of Houston, Houston, TX, USA.
Chandra Prakash SwamyDepartment of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.
Bryan T KlassenDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Rushna P AliDepartment of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.
Kai J MillerDepartment of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.
Ashwin ViswanathanDepartment of Neurosurgery, Baylor College of Medicine, Houston, TX, USA.
Nuri F InceDepartment of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA.

Funding

Oscillatory Neural Correlates of Motor Phenotypes in Parkinson DiseaseR01NS124650 · NINDS · UNIVERSITY OF HOUSTON · PI Nuri Firat Ince, Ashwin Viswanathan · 2022 to 2026
$1.9M
NINDS NIH HHS R01 NS124650
6 · The paper itself

Abstract

We present a low-cost, open-source, wireless hardware platform dedicated to real-time tremor monitoring in Parkinson's disease (PD). The system is built on the ESP32-C6 microcontroller integrated with a 3-axis accelerometer and tilt sensor and employs ESP-NOW for wireless communication and multi-device synchronization. It supports up to five synchronized accelerometer nodes for assessing tremor and postural changes at the upper and lower limbs, as well as the jaw or chest. In this study, we demonstrate its application for intraoperative tracking of resting tremor and voluntary hand movements during brain stimulation (DBS) surgery, synchronized with neural recordings, while providing real-time feedback to the clinical team. Benchmarking tests confirmed sub-25 ms latency and robust synchronization between accelerometer nodes, underscoring its potential as a reliable tool for objective, real-time tremor quantification in both surgical and postoperative settings.

Indexed as

low-costopen-sourceParkinson’s diseasetremorwireless

Identifiers

PMID42621937
PMCPMC13488414

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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.