Evidence map›Paper›PMID 42325819›Full record

ArticleWearable technologies2026

Shoulder-wearable soft robot for assisting older adults in scapular stretching.

Kosuke Isobe, Masakazu Hirokawa, Yasuhiro Suzuki, Hideki Kadone, Yukiyo Shimizu, Kenji Suzuki

Abstract read
In one paragraph

Article in Wearable technologies, 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

6 authors.

Kosuke IsobeArtificial Intelligence Laboratory, University of Tsukuba, Japan.ORCID https://orcid.org/0009-0009-1903-5186
Masakazu HirokawaData Science Laboratories, NEC Corporation, Japan.
Yasuhiro SuzukiArtificial Intelligence Laboratory, University of Tsukuba, Japan.
Hideki KadoneArtificial Intelligence Laboratory, University of Tsukuba, Japan.
Yukiyo ShimizuDepartment of Rehabilitation Medicine, University of Tsukuba Institute of Medicine, Japan.
Kenji SuzukiArtificial Intelligence Laboratory, University of Tsukuba, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We propose a wearable soft robot that assists with individualized scapula adduction and abduction for thoracic stretching in respiratory rehabilitation. Although thoracic stretching is known to be effective for respiratory rehabilitation, the range of motion of older adult patients narrows with age, and long-term external aid by physical therapists is required. The proposed robot consists of a soft and shoulder-wearable brace and cable-pulling mechanism to apply rotational torque on shoulders, resulting in stretching the thorax and scapulae. We designed the pulling mechanism by modeling the humeral head trajectory during stretching by a therapist and reproducing it with two linear actuators pulling the right and left shoulders simultaneously, based on position control aimed at achieving a target tension. The main results of validation experiments with older adults confirmed that the robot-assisted stretching was able to perform scapular stretching similar to that of a physical therapist.

Indexed as

designmechatronicsrehabilitation roboticssoft wearable robotics

Identifiers

PMID42325819
PMCPMC13280861

What OpenQuestion holds

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LicenceCC BY
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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.