Evidence map›Paper›PMID 40041101›Full record

ArticleIEEE transactions on medical robotics and bionics2025

Grasp Force Assistance via Throttle-based Wrist Angle Control on a Robotic Hand Orthosis for C6-C7 Spinal Cord Injury.

Joaquin Palacios, Alexandra Deli-Ivanov, Ava Chen, Lauren Winterbottom, Dawn M Nilsen, Joel Stein, Matei Ciocarlie

Abstract read
In one paragraph

Article in IEEE transactions on medical robotics and bionics, 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
–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

7 authors.

Joaquin PalaciosDepartment of Mechanical Engineering, Columbia University, New York, NY 10027, USA.
Alexandra Deli-IvanovDepartment of Mechanical Engineering, Columbia University, New York, NY 10027, USA.
Ava ChenDepartment of Mechanical Engineering, Columbia University, New York, NY 10027, USA.
Lauren WinterbottomDepartment of Rehabilitation and Regenerative Medicine, Columbia University Irving Medical Center, New York, NY 10032, USA.
Dawn M NilsenDepartment of Rehabilitation and Regenerative Medicine, Columbia University Irving Medical Center, New York, NY 10032, USA.
Joel SteinDepartment of Rehabilitation and Regenerative Medicine, Columbia University Irving Medical Center, New York, NY 10032, USA.
Matei CiocarlieDepartment of Mechanical Engineering, Columbia University, New York, NY 10027, USA.

Funding

SCH: INT: An Adaptive Robotic Hand Orthosis with Multimodal Sensing and Continuous Learning R01NS115652 · NINDS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI CIOCARLIE, MATEI, STEIN, JOEL · 2019 to 2022
$1.1M
Impact of biofeedback and task-specific training with a robotic hand orthosis on voluntary muscle modulation for rehabilitation post-strokeF31HD111301 · NICHD · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI CHEN, AVA · 2023 to 2024
$73k
NICHD NIH HHS F31 HD111301NINDS NIH HHS R01 NS115652
6 · The paper itself

Abstract

Individuals with hand paralysis resulting from C6-C7 spinal cord injuries frequently rely on tenodesis for grasping. However, tenodesis generates limited grasping force and demands constant exertion to maintain a grasp, leading to fatigue and sometimes pain. We introduce the MyHand-SCI, a wearable robot that provides grasping assistance through motorized exotendons. Our user-driven device enables independent, ipsilateral operation via a novel Throttle-based Wrist Angle control method, which allows users to maintain grasps without continued wrist extension. A pilot case study with a person with C6 spinal cord injury shows an improvement in functional grasping and grasping force, as well as a preserved ability to modulate grasping force while using our device, thus improving their ability to manipulate everyday objects. This research is a step towards developing effective and intuitive wearable assistive devices for individuals with spinal cord injury.

Identifiers

PMID40041101
PMCPMC11875392

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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.