Agent Skills
› brycewang-stanford/Awesome-Journal-Skills
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ieee-transactions-on-biomedical-engineering
GitHub用于判断生物医学工程稿件是否适合IEEE TBME期刊，提供投稿定位、工程方法与生物医学验证的匹配度检查、TBME与NBME/TMI的路由建议、格式规范及拒稿启发式规则。
Trigger Scenarios
作者指定TBME并需进行适配性/框架检查
需重构以明确工程贡献与生物医学验证
在TBME、NBME和TMI之间选择目标期刊
需要了解TBME的验证标准及Desk Reject规则
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ieee-transactions-on-biomedical-engineering -g -y
SKILL.md
Frontmatter
{
"name": "ieee-transactions-on-biomedical-engineering",
"description": "Use when targeting IEEE Transactions on Biomedical Engineering (TBME) or deciding whether a biomedical-engineering methods manuscript fits this venue. Encodes the journal's fit, the engineering-method-validated-on-biological-or-clinical-data bar, validation rigor, the TBME-vs-NBME-vs-TMI routing, house style, official-submission re-check, and desk-reject heuristics."
}
IEEE Transactions on Biomedical Engineering (ieee-transactions-on-biomedical-engineering)
Journal positioning
IEEE Transactions on Biomedical Engineering (TBME), published by the IEEE
Engineering in Medicine and Biology Society, is a flagship archival venue for
engineering methods applied to biology and medicine: biosignal processing,
biomedical instrumentation and devices, neural engineering, biomechanics,
physiological-system modeling, and therapeutic/diagnostic technology. The defining
expectation is a sound engineering contribution validated on appropriate
biomedical evidence — measured data, phantoms, animal models, or human subjects —
with a clear biomedical rationale. Pure methods with no biomedical validation, and
clinical observations with no engineering contribution, are both poor fits.
Siblings: nature-biomedical-engineering (broader significance and translational
reach) and ieee-transactions-on-medical-imaging (imaging-specific methods). This
skill is a fit / venue-selection / re-framing tool. It does not replace the
journal's current official author information. Before submitting, re-check the live
IEEE TBME author guidance and submission system.
When to trigger
- The author names TBME for a biosignal, instrumentation/device, neural-engineering, or physiological-modeling manuscript and wants a fit/framing check.
- A method must be re-framed so the engineering contribution and biomedical validation are both clear, not just an algorithm or just a clinical finding.
- The author is choosing among TBME,
nature-biomedical-engineering, andieee-transactions-on-medical-imaging. - The author needs TBME's validation bar and desk-reject heuristics.
Scope & topic fit
- Biosignal processing and analysis: ECG/EEG/EMG and other physiological signals, with a methodological advance validated on real recordings.
- Biomedical instrumentation, sensors, and devices: design, characterization, and demonstration on phantoms, benchtop, or subjects.
- Neural engineering: brain–machine interfaces, neural recording/stimulation, and decoding methods with experimental validation.
- Biomechanics, rehabilitation engineering, and wearable/assistive systems evaluated on subjects or realistic models.
- Physiological-system and computational modeling validated against measured biological/clinical data or making tested predictions.
- Therapeutic and diagnostic technology (e.g., stimulation, ultrasound therapy, point-of-care diagnostics) with quantitative evaluation.
Method & evidence bar
- The contribution must pair a clear engineering method with biomedical validation: measured data, phantoms, animal models, or human-subject results, appropriate to the claim.
- Report study/data details: subjects/samples, acquisition and instrumentation, protocol, and reference/ground truth; underpowered single-subject demos rarely suffice.
- Use task-appropriate, statistically supported metrics; benchmark against established biomedical methods, not a strawman, with fair tuning.
- For devices/instrumentation, report performance characterization (accuracy, sensitivity, SNR, safety-relevant parameters) under stated conditions.
- Address robustness and generalization across subjects, conditions, or sites, and discuss limitations and failure modes relevant to use.
- Reproducibility: enough detail (and ideally code/data per policy) to reproduce the reported results.
Structure & house style
- IEEE double-column format; TBME publishes full Papers and shorter contributions — match the article type to the contribution and re-check current definitions and length policy on the live guide.
- The introduction motivates the biomedical need and the engineering gap, then states the contribution; pure-method or pure-clinical framings are discouraged.
- Figures are load-bearing: device/signal schematics, representative recordings with the proposed analysis, and quantitative comparison plots with error bars.
- The methods section specifies instrumentation, data, and protocol precisely; a results section with quantitative tables across subjects/conditions is central.
- Keep clinical narrative proportionate to the engineering contribution.
Official-submission checklist
- Before giving submission-ready advice, read
../../resources/source-basis.mdand../../resources/official-source-map.md; start from the IEEE Author Center anchors, then cite the current TBME-specific page you checked. - Search the live site for "IEEE Transactions on Biomedical Engineering information for authors" and follow the current ScholarOne/IEEE version.
- Re-check article types, page/length limits and overlength policy, and the IEEE double-column template.
- Confirm human-subjects/animal ethics (IRB/IACUC), data/code-availability, and any de-identification and safety-reporting requirements.
- Re-check ORCID, competing-interests, funding, author-contribution, and AI-use disclosure requirements, and IEEE open-access options.
- If the live official instructions conflict with this skill, the official instructions win.
Pre-submission self-check
- The paper pairs a clear engineering method with appropriate biomedical validation, not one without the other.
- Data/study details (subjects, instrumentation, protocol, reference standard) are reported and adequately powered.
- Metrics are task-appropriate with statistics; baselines are established biomedical methods.
- Device/method robustness and generalization across subjects/conditions are addressed.
- Ethics (IRB/IACUC), data provenance, and safety-relevant parameters are documented.
- Article type and length fit current TBME limits; methods are reproducible.
Common desk-reject triggers
- A pure algorithm or model with no biomedical data validation and no clear biomedical rationale.
- A clinical observation or case study with no engineering contribution.
- Single-subject or underpowered demonstration presented as general validation.
- Missing ethics/IRB/IACUC statement for human or animal data.
- Inappropriate or absent baselines; unfair comparisons; no statistical support for claims.
Re-routing decision
- Medical-image formation/reconstruction/analysis as the core →
ieee-transactions-on-medical-imaging. - Highest-significance, broadly translational biomedical advance →
nature-biomedical-engineering. - Core contribution is a general signal-processing method →
ieee-transactions-on-signal-processing. - Assistive/surgical robotics as the central result →
ieee-transactions-on-robotics. - Wearable/optical sensing where the photonic device is the core →
optica.
Output format
[Fit] High / Medium / Low (one-line reason)
[Target] IEEE Transactions on Biomedical Engineering
[Topic tags] <2–3 closest biomedical-engineering subtopics>
[Engineering + validation] <the method and its biomedical validation in one line>
[Method/evidence] <do the data + metrics + baselines clear TBME's validation bar?>
[Top risk] <the single most likely reason for rejection>
[Article type] Paper / shorter contribution
[Official items to re-check] <article type / length / template / ethics-data / disclosures>
[Re-route suggestion] <if not a fit, a better-matched venue>
Version History
- 1839142 Current 2026-07-05 12:55
