Evidence map›Paper›PMID 41305142›Full record

ArticleSensors (Basel, Switzerland)2025

Advancing Medical Training with Mixed Reality and Haptic Feedback Simulator for Acupuncture Needling.

Kasunika Guruge, H M K K M B Herath, Nuwan Madusanka, Hi-Joon Park, Chang-Su Na, Myunggi Yi, Byeong-Il Lee

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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.

Kasunika GurugeIndustry 4.0 Convergence Bionics Engineering, Pukyong National University, Busan 48513, Republic of Korea.ORCID 0000-0001-6641-9320
H M K K M B HerathIndustry 4.0 Convergence Bionics Engineering, Pukyong National University, Busan 48513, Republic of Korea.ORCID 0000-0002-1873-768X
Nuwan MadusankaDigital Healthcare Research Center, Pukyong National University, Busan 48513, Republic of Korea.ORCID 0000-0001-7982-1036
Hi-Joon ParkCollege of Korean Medicine, Kyung Hee University, Seoul 02453, Republic of Korea.
Chang-Su NaCollege of Korean Medicine, Dongshin University, Jeonnam 58245, Republic of Korea.ORCID 0000-0001-5478-649X
Myunggi YiIndustry 4.0 Convergence Bionics Engineering, Pukyong National University, Busan 48513, Republic of Korea.ORCID 0000-0003-4864-959X
Byeong-Il LeeIndustry 4.0 Convergence Bionics Engineering, Pukyong National University, Busan 48513, Republic of Korea.ORCID 0000-0002-1574-7145

Funding

Ministry of Science and ICT 2022M3A9B6082791National Research Foundation of Korea 2022M3A9B6082791
6 · The paper itself

Abstract

Traditional acupuncture training often lacks consistent, objective feedback, while current extended reality (XR) solutions rarely include quantitative assessment. This study developed and evaluated a feedback-enabled mixed reality (MR) acupuncture simulator to improve skill acquisition through depth-responsive guidance. The system, used on Microsoft HoloLens 2, combines a MetaHuman-based virtual patient with expert-designed acupoint geometries. It provides depth-dependent vibrotactile cues via a wearable haptic device and calculates a composite score from normalized metrics, including insertion depth, angular deviation, tip-to-center distance, and task duration. Ten participants (eight novices and two experts) performed needle tasks at LI4, LI11, and TE3 across two sessions. Mean depth error decreased from 6.41 mm to 3.58 mm, and task time from 9.29 s to 6.83 s. At LI11, beginners improved in achieved depth (16.24 ± 1.88 mm to 19.74 ± 1.23 mm), reduced angular deviation (27.83° to 15.34°), and shortened completion time (38.77 s to 13.28 s). Experts outperformed novices (69.25 ± 21.64 vs. 56.26 ± 23.37), confirming construct validity. Usability evaluation showed a mean overall score of 4.46 ± 0.51 and excellent reliability (McDonald's ω = 0.93). These results demonstrate that expert-informed scoring and depth-responsive haptic feedback substantially enhance accuracy, efficiency, and learning confidence, validating the system's technical robustness and educational readiness for clinical acupuncture training.

Indexed as

AcupunctureAcupuncture TherapyAcupuncture PointsAdultFeedbackFemaleHumansMaleUser-Computer Interfacehaptic feedbackhealthcare educationHoloLens 2medical simulationmetahumanmixed reality

Identifiers

PMID41305142
PMCPMC12656300

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.