BTS-rPPG: Orthogonal Butterfly Temporal Shifting for Remote Photoplethysmography

BTS-rPPG: Orthogonal Butterfly Temporal Shifting for Remote Photoplethysmography | Signal Canvas | ScienceToStartup

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Canonical route: /signal-canvas/bts-rppg-orthogonal-butterfly-temporal-shifting-for-remote-photoplethysmography

stale

Proof freshness: stale
Proof status: unverified
Display score: 7/10
Last proof check: 2026-04-03
Score updated: 2026-04-03
Score fresh until: 2026-05-03
References: 0
Source count: 0
Coverage: 33%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

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Canonical ID bts-rppg-orthogonal-butterfly-temporal-shifting-for-remote-photoplethysmography | Route /signal-canvas/bts-rppg-orthogonal-butterfly-temporal-shifting-for-remote-photoplethysmography

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curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/bts-rppg-orthogonal-butterfly-temporal-shifting-for-remote-photoplethysmography

MCP example

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source_context

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Evidence Receipt

Route status: building

Claims: 8

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: BTS-rPPG: Orthogonal Butterfly Temporal Shifting for Remote Photoplethysmography

PDF: https://arxiv.org/pdf/2604.01679v1

Source count: Pending verification

Coverage: 33%

Last proof check: 2026-04-03T20:50:40.820Z

Signal Canvas receipt window

Watch and verify: BTS-rPPG: Orthogonal Butterfly Temporal Shifting for Remote Photoplethysmography

/buildability/bts-rppg-orthogonal-butterfly-temporal-shifting-for-remote-photoplethysmography

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Subject: BTS-rPPG: Orthogonal Butterfly Temporal Shifting for Remote Photoplethysmography

Verdict

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Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.

Preparing verified analysis

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

Strong 8Mixed 0Weak 0

Evidencepartial
BTS-rPPG improves long-range temporal modeling of physiological dynamics and consistently outperforms existing temporal modeling strategies for rPPG estimation.
Implicationpartial
Directly stated in abstract with supporting experimental results mentioned
Verificationpartial
partial
Evidencepartial
many deep learning methods rely on temporal shifting or convolutional operators that aggregate information primarily from neighboring frames, resulting in predominantly local temporal modeling and limited temporal receptive fields.
Implicationpartial
Directly stated in abstract as background/limitation of existing methods
Verificationpartial
partial
Evidencepartial
BTS establishes structured frame interactions via an XOR-based butterfly pairing schedule, progressively expanding the temporal receptive field and enabling efficient propagation of information across distant frames.
Implicationpartial
Directly stated in abstract as core method description
Verificationpartial
partial
Evidencepartial
we introduce an orthogonal feature transfer mechanism (OFT) that filters the source feature with respect to the target context before temporal shifting, retaining only the orthogonal component for cross-frame transmission.
Implicationpartial
Directly stated in abstract as key methodological innovation
Verificationpartial
partial
Evidencepartial
This reduces redundant feature propagation and encourages complementary temporal interaction.
Implicationpartial
Directly stated in abstract as claimed benefit of the method
Verificationpartial
partial
Evidencepartial
Extensive experiments on multiple benchmark datasets demonstrate that BTS-rPPG...consistently outperforms existing temporal modeling strategies for rPPG estimation.
Implicationpartial
Directly stated in abstract with mention of extensive experiments
Verificationpartial
partial
Evidencepartial
Inspired by the butterfly communication pattern in the Fast Fourier Transform (FFT), BTS establishes structured frame interactions...
Implicationpartial
Directly stated in abstract as inspiration source
Verificationpartial
partial
Evidencepartial
resulting in predominantly local temporal modeling and limited temporal receptive fields.
Implicationpartial
Directly stated as limitation of existing methods, though specific to 'many' not 'all' methods
Verificationpartial
partial

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BTS-rPPG: Orthogonal Butterfly Temporal Shifting for Remote Photoplethysmography

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