Living evidence center

引用研究,不等于产品已经得到验证。

我们把“指标有研究支持”和“FatigueLab 自有实现完成验证”明确分开。每条公开主张都要经过人工审核,并显示适用范围与限制。

SOURCE EVIDENCE · A/B/C/D

外部研究的设计与证据层级;不等于产品有效。

FATIGUELAB VALIDATION · 0/1/2/3

产品实现从尚未验证到外部复现的成熟度;当前公开声明为 0。

Human-approved claims

当前公开证据声明

仅 status=approved 的声明可以进入公开页面或 AI 解释上下文。这里展示的是种子数据中的审核记录。

E001 · Source C · FatigueLab 0 · fatigue framework

Fatigue and Human Performance: An Updated Framework

Separate FatigueLab domains and avoid a single fatigue score.

PMID 36258141

Framework support does not validate the FatigueLab decision engine.

E003 · Source A · FatigueLab 0 · CMJ

The countermovement jump to monitor neuromuscular status: A meta-analysis

Three valid CMJs; mean height is primary, best is secondary.

PMID 27663764 · DOI 10.1016/j.jsams.2016.08.011

Protocol and population heterogeneity.

E004 · Source B · FatigueLab 0 · CMJ measurement

The validity and reliability of an iPhone app for measuring vertical jump performance

Manual video timing workflow.

PMID 25555023 · DOI 10.1080/02640414.2014.996184

Device and protocol specific; does not validate this implementation.

E005 · Source B · FatigueLab 0 · CMJ measurement

Validity and intra-rater reliability of MyJump app on iPhone 6s in jump performance

Measurement-quality rationale.

PMID 27876280 · DOI 10.1016/j.jsams.2016.09.016

App/device findings are not automatically transferable.

E006 · Source A · FatigueLab 0 · CMJ measurement

Validity and reliability of My Jump app to assess vertical jump performance: a meta-analytic review

External support for flight-time jump height.

PMID 37978338 · DOI 10.1038/s41598-023-46935-x

Does not validate FatigueLab software or user technique.

E007 · Source B · FatigueLab 0 · CMJ measurement

Evidence of validity and reliability of Jumpo 2 and MyJump 2 for estimating vertical jump variables

Expose jump height and flight time only as core results.

PMID 36718456 · DOI 10.7717/peerj.14558

No force-plate equivalence claim for FatigueLab.

E008 · Source A · FatigueLab 0 · subjective monitoring

Monitoring the athlete training response: subjective self-reported measures trump commonly used objective measures: a systematic review

Daily perceived fatigue, soreness, sleep and stress domain.

PMID 26423706 · DOI 10.1136/bjsports-2015-094758

FatigueLab items are not a validated questionnaire.

E009 · Source A · FatigueLab 0 · wellbeing

Single-Item Self-Report Measures of Team-Sport Athlete Wellbeing and Their Relationship With Training Load: A Systematic Review

Daily wellness construct selection.

PMID 32991706

Relationship with load is not causal and populations vary.

E010 · Source C · FatigueLab 0 · training load

Session-RPE Method for Training Load Monitoring: Validity, Ecological Usefulness, and Influencing Factors

session load = duration minutes × RPE, displayed in AU.

PMID 29163016 · DOI 10.3389/fnins.2017.00612

AU is a proxy, not biological fatigue.

E011 · Source A · FatigueLab 0 · training load

Monitoring Athlete Training Loads: Consensus Statement

Training load is contextual and protocol consistency matters.

PMID 28463642 · DOI 10.1123/IJSPP.2017-0208

No single load metric diagnoses readiness or injury.

E012 · Source C · FatigueLab 0 · HRV

Monitoring training status with HR measures: do all roads lead to Rome?

Keep HR and HRV as a contextual domain.

PMID 24578692 · DOI 10.3389/fphys.2014.00073

Protocol, posture and device affect interpretation.

E013 · Source C · FatigueLab 0 · HRV

Training adaptation and heart rate variability in elite endurance athletes: opening the door to effective monitoring

No one-direction HRV readiness rule.

PMID 23852425 · DOI 10.1007/s40279-013-0071-8

Elite endurance evidence may not generalize.

E014 · Source A · FatigueLab 0 · overtraining

Prevention, diagnosis, and treatment of the overtraining syndrome: Joint consensus statement of ECSS and ACSM

Explicitly prohibit product diagnosis of overtraining syndrome.

PMID 23247672 · DOI 10.1249/MSS.0b013e318279a10a

FatigueLab is not a clinical assessment tool.

E015 · Source C · FatigueLab 0 · monitoring framework

Monitoring Training Effects in Athletes: A Multidimensional Framework for Decision-Making

Personal baselines, confidence and separate monitoring domains.

PMID 41824225

Recent framework; FatigueLab still requires independent validation.

E016 · Source A · FatigueLab 0 · CMJ measurement

Validity and Reliability of My Jump App: Meta-analytic Review

CMJ_PROTOCOL_V1 uses three jumps and mean height as a task-specific lower-body probe.

PMID 37978338 · DOI 10.1038/s41598-023-46935-x

External measurement evidence does not validate FatigueLab or remove protocol error.

E017 · Source C · FatigueLab 0 · velocity loss

Acute and Chronic Effects of Velocity Loss Thresholds During Resistance Training

Optional velocity fields may support task-specific warm-up and set decisions.

PMID 36178597

Velocity thresholds are exercise, device and population dependent.

E018 · Source B · FatigueLab 0 · proximity to failure

Dose-Response Relationship Between Proximity to Failure, Strength and Hypertrophy

Target and actual RIR are recorded for plan execution and warm-up verification.

PMID 38970765 · DOI 10.1007/s40279-024-02069-2

RIR is self-reported and does not identify a single optimal target for every person.

E019 · Source A · FatigueLab 0 · autoregulation

Autoregulated Resistance Training for Maximal Strength Enhancement: Systematic Review and Network Meta-analysis

Supports objective-preserving, minimum-necessary session adjustments.

PMID 40791980 · DOI 10.1016/j.jesf.2025.07.006

Does not validate FatigueLab adjustment magnitudes or individual recommendations.

E020 · Source A · FatigueLab 0 · training load

Monitoring Athlete Training Loads: Consensus Statement

Plan Load Engine separates planned external load, actual execution and response.

PMID 28463642 · DOI 10.1123/IJSPP.2017-0208

Training load is not equivalent to fatigue, recovery or adaptation.

E021 · Source C · FatigueLab 0 · RFD

Rate of force development: physiological and methodological considerations

RFD_EXPLOSIVE prescriptions require maximal intent and task-specific output fields.

PMID 26941023 · DOI 10.1007/s00421-016-3346-6

Does not establish FatigueLab cutoffs or validate unsensored RFD estimates.

E022 · Source C · FatigueLab 0 · recovery

Recovery from strength, jump, and sprint exercise

Use task-specific probes and observed personal recovery windows.

PMID 30067591 · DOI 10.1249/MSS.0000000000001733

Group averages are not individual prescriptions.

E023 · Source A · FatigueLab 0 · proximity to failure

Resistance training to failure and acute fatigue

Use actual RIR and preserve the objective with minimum adjustments.

PMID 34881412 · DOI 10.1007/s40279-021-01602-x

Does not define a universal RIR threshold or load reduction.

E024 · Source A · FatigueLab 0 · velocity loss

Velocity-loss thresholds in resistance training

Optional velocity/output can trigger rest, fewer attempts, and re-checking.

PMID 36178597 · DOI 10.1007/s40279-022-01754-4

Device and exercise specificity prevent universal cutoffs.

E025 · Source A · FatigueLab 0 · autoregulation

Autoregulated resistance training for maximal strength enhancement

Preserve the objective and make the minimum necessary adjustment.

PMID 40791980 · DOI 10.1016/j.jesf.2025.07.006

FatigueLab magnitudes remain PRODUCT_HEURISTIC.

E026 · Source C · FatigueLab 0 · resistance load

Quantifying resistance-training load in practice

Keep working sets, heavy reps, hard sets and regional exposures separate.

PMID 41951211

Recent evidence; does not validate a composite physiological score.

E027 · Source C · FatigueLab 0 · preparedness

From readiness to preparedness in athlete monitoring

Today decisions bind morning context and probes to the planned objective.

PMID 42305917 · DOI 10.3389/fphys.2026.1855985

Framework evidence does not validate FatigueLab decisions.

E028 · Source A · FatigueLab 0 · dose response

Resistance-training dose-response relationships

Expose separate plan curves and avoid one fatigue score.

PMID 41343037 · DOI 10.1007/s40279-025-02344-w

Population averages do not prescribe individual weekly progression.

E029 · Source A · FatigueLab 0 · periodization

Periodization and resistance-training outcomes

Represent macrocycles, mesocycles, microcycles, sessions and sets explicitly.

PMID 35044672 · DOI 10.1007/s40279-021-01636-1

Does not mandate linear progression or validate FatigueLab templates.

E030 · Source D · FatigueLab 0 · deload

Deloading practices in strength and physique sport

Re-plan only after repeated personal patterns, not a single bad day.

PMID 38274324 · DOI 10.7717/peerj.16777

Practice descriptions are not validated deload prescriptions.

E031 · Source A · FatigueLab 0 · isometric training

Isometric strength training adaptations

Store %MVC, joint position, contraction time and maximal intent separately.

PMID 30943568 · DOI 10.1055/a-0863-4539

Without a validated sensor, force and RFD remain proxy fields.

Live metadata search · review required

搜索 PubMed、Europe PMC 与 OpenAlex

检索结果只是 metadata 候选,不会自动成为产品结论;必须完成去重、适用性与限制审核。

PubMed / NCBI

核心生物医学 metadata、PMID 与 DOI

Europe PMC

开放获取链接、MeSH 与引用信息

OpenAlex

引用网络、相关研究发现与去重辅助