The CPR Tutor architecture classifies a chest compression in about 70 milliseconds, supporting real-time feedback provision¶
Claim · All claims
Evidence · 1 study · designr2·q2
Currency · newest study 2022 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? SharpFlow classified one chest compression in about 70 milliseconds on average, and the authors report the architecture allowed provision of real-time multimodal feedback (H1). → Di Mitri 2022
Evidence¶
Di Mitri 2022¶
Di Mitri, D., Schneider, J., & Drachsler, H. (2022). KeepMeInTheLoop: Real-Time Feedback with Multimodal Data. International Journal of Artificial Intelligence in Education (2022) 32:1093–1118. https://doi.org/10.1007/s40593-021-00281-z
q2 · i? · design · r2
In the real-time exploitation phase, the SharpFlow Python TCP server resampled incoming data chunks and fed them to the layered LSTMs; the article reports that "SharpFlow takes on average 70 milliseconds to classify one CC".
"SharpFlow takes on average 70 milliseconds to classify one CC."
Discussion¶
Related Claims¶
- An expert dataset of 4803 annotated chest compressions from 10 experts was collected and downsampled to 3434 samples to train the mistake-detection models — related
- Sessions with CPR Tutor feedback showed no significant difference in overall mistake frequency compared with control sessions without feedback — related
- Real-time audio feedback from the CPR Tutor is followed by a short-term decrease in Error Rates across all five target CPR classes within 10 seconds — related
- AI in psychomotor ITS is used predominantly for feedback construction rather than for task recommendation or adaptation — a broader claim this one bears on
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
cpr-tutor-real-time-classification-speed |
title |
The CPR Tutor architecture classifies a chest compression in about 70 milliseconds, supporting real-time feedback provision |
description |
The CPR Tutor architecture classifies a chest compression in about 70 milliseconds, supporting real-time feedback provision |
status |
review |
evidence_strength |
weak |
newest_evidence |
2022 |
generated |
by process:wiki-ingest on 2026-10-27 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — di-mitri-2022 |
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