Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks | Paper Citation Record

Observation ab9b7149-08d4-4ddc-b939-9c0e65d15869 · outbound

This paper cites Disorders of sleep: an overview.Primary care, 32(2):305, 2005.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Disorders of sleep: an overview.Primary care, 32(2):305, 2005

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:51.982139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation af911a42-78aa-4048-a4fa-5e6fe4736d4d · outbound

This paper cites International classification of sleep disorders.Chest, 146(5):1387–1394, 2014.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks International classification of sleep disorders.Chest, 146(5):1387–1394, 2014

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:51.754766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7008a9a2-8f38-4bbb-8251-08e0878aa65b · outbound

This paper cites The aasm manual for the scoring of sleep and associated events.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks The aasm manual for the scoring of sleep and associated events

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:51.561294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 69a7e507-bbd7-412a-b80f-389d8e80238b · outbound

This paper cites Interpretable feature-based machine learning for automatic sleep detection using photoplethysmography.npj Biosensing, 2(1):24, 2025.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Interpretable feature-based machine learning for automatic sleep detection using photoplethysmography.npj Biosensing, 2(1):24, 2025

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:51.380983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1e8aea78-a18d-49f9-a811-428b34ea4bea · outbound

This paper cites an unresolved cited work.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T00:39:51.202458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4ad086a1-62c3-439b-8155-19982b1cfbe1 · outbound

This paper cites Garcia-Gomez, Shahrad Taheri, Yu Guan, and Luis Fernandez-Luque.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Garcia-Gomez, Shahrad Taheri, Yu Guan, and Luis Fernandez-Luque

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:51.061529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation adb8d9b0-f219-4562-9b55-ffc3ff8ce2de · outbound

This paper cites Optimizing Photoplethysmography-Based Sleep Staging Models by Leveraging Temporal Context for Wearable Devices Applications.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Optimizing Photoplethysmography-Based Sleep Staging Models by Leveraging Temporal Context for Wearable Devices Applications

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-06T00:39:44.793161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0666d741-42dd-462e-9f1f-e0686b7734fb · outbound

This paper cites an unresolved cited work.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T00:39:50.876291Z

Source-reported events for the cited work

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Observation a04482f2-d432-4f9d-ac98-4b9b953343b3 · outbound

This paper cites On improving ppg-based sleep staging: A pilot study.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks On improving ppg-based sleep staging: A pilot study

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:50.700289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4246e631-1b2d-4f68-af11-b6d0a279fe5a · outbound

This paper cites Performance of a convolutional neural network derived from ppg signal in classifying sleep stages.IEEE Transactions on Biomedical Engineering, 70(6):1717–1728, 2022.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Performance of a convolutional neural network derived from ppg signal in classifying sleep stages.IEEE Transactions on Biomedical Engineering, 70(6):1717–1728, 2022

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:50.579537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 01b43283-3f91-4de6-9bd0-b5134d56be56 · outbound

This paper cites Photoplethysmography—new applications for an old technology: a sleep technology review.Journal of Clinical Sleep Medicine, 19(1):189–195, 2023.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Photoplethysmography—new applications for an old technology: a sleep technology review.Journal of Clinical Sleep Medicine, 19(1):189–195, 2023

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:50.435272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 17c38617-5137-497d-991b-4d97fdf6d6e2 · outbound

This paper cites Autonomic activity during human sleep as a function of time and sleep stage.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Autonomic activity during human sleep as a function of time and sleep stage

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:50.253645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5a722c41-eccf-4a8c-b309-8e03accb6fbd · outbound

This paper cites an unresolved cited work.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-06T00:39:50.055821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 79049033-dffb-408a-9c77-0626c4dae47c · outbound

This paper cites SleepPPG-Net2: Deep learning generalization for sleep staging from photoplethysmography.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks SleepPPG-Net2: Deep learning generalization for sleep staging from photoplethysmography

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-06T00:39:44.580346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 14e1e97e-2775-4dc7-bfdf-86c70c910079 · outbound

This paper cites Sleepppg-net: A deep learning algorithm for robust sleep staging from continuous photoplethysmography.IEEE Journal of Biomedical and Health Informatics, 27(2):924–932, 2022.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Sleepppg-net: A deep learning algorithm for robust sleep staging from continuous photoplethysmography.IEEE Journal of Biomedical and Health Informatics, 27(2):924–932, 2022

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:49.877131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 22d97c1a-a913-4721-9f45-a6fa62e8365a · outbound

This paper cites A computation- ally efficient algorithm for wearable sleep staging in clinical populations.Scientific Reports, 13(1):9182, 2023.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks A computation- ally efficient algorithm for wearable sleep staging in clinical populations.Scientific Reports, 13(1):9182, 2023

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:49.702744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ab5b3fd5-7bcd-4dc2-93c1-8b606f23866e · outbound

This paper cites Assessment of obstructive sleep apnea-related sleep fragmentation utilizing deep learning-based sleep staging from photoplethysmography.Sleep, 44(10):zsab142, 2021.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Assessment of obstructive sleep apnea-related sleep fragmentation utilizing deep learning-based sleep staging from photoplethysmography.Sleep, 44(10):zsab142, 2021

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:49.466378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e9fcf3b8-bc72-4574-8863-5082c8aee498 · outbound

This paper cites Sleep stage classification from heart-rate variability using long short-term memory neural networks.Scientific reports, 9(1):14149, 2019.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Sleep stage classification from heart-rate variability using long short-term memory neural networks.Scientific reports, 9(1):14149, 2019

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Resolution: unresolved; no resolver link, observed 2026-08-06T00:39:41.453542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42baeea1-a9ec-4b3a-92e4-3e5f0d95e703 · outbound

This paper cites Sleep stage classification with ecg and respiratory effort.Physiological measurement, 36(10):2027–2040, 2015.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Sleep stage classification with ecg and respiratory effort.Physiological measurement, 36(10):2027–2040, 2015

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:49.243647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3238c9c8-f902-4879-b9f0-47bb5816ae2e · outbound

This paper cites A deep learning model for automated sleep stages classification using psg signals.International journal of environmental research and public health, 16(4):599, 2019.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks A deep learning model for automated sleep stages classification using psg signals.International journal of environmental research and public health, 16(4):599, 2019

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:49.079136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8dbf0b26-70f1-41bb-838d-6cb2ba5309a1 · outbound

This paper cites an unresolved cited work.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-06T00:39:48.857518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2d4140bb-620e-433c-8e61-5821ea5cfbc7 · outbound

This paper cites A convolutional neural network for sleep stage scoring from raw single-channel eeg.Biomedical Signal Processing and Control, 42:107–114, 2018.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks A convolutional neural network for sleep stage scoring from raw single-channel eeg.Biomedical Signal Processing and Control, 42:107–114, 2018

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:48.656749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 62ed2f0e-cb30-49fb-b492-b90c81e70262 · outbound

This paper cites A multi-class automatic sleep staging method based on photoplethysmography signals.Entropy, 23(1):116, 2021.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks A multi-class automatic sleep staging method based on photoplethysmography signals.Entropy, 23(1):116, 2021

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:48.423412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5971325e-57fc-4f04-b228-8e6f9a2351ff · outbound

This paper cites an unresolved cited work.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-06T00:39:48.225417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7e443a95-b5f2-4627-a1ac-ffe581ccafd7 · outbound

This paper cites L-seqsleepnet: Whole-cycle long sequence modeling for automatic sleep staging.IEEE Journal of Biomedical and Health Informatics, 27(10):4748–4757, 2023.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks L-seqsleepnet: Whole-cycle long sequence modeling for automatic sleep staging.IEEE Journal of Biomedical and Health Informatics, 27(10):4748–4757, 2023

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:48.027980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 87fb7f16-0444-42d8-b20a-5a4e90a6f034 · outbound

This paper cites Deepsleepnet: A model for automatic sleep stage scoring based on raw single-channel eeg.IEEE transactions on neural systems and rehabilitation engineering, 25(11):1998–2008, 2017.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Deepsleepnet: A model for automatic sleep stage scoring based on raw single-channel eeg.IEEE transactions on neural systems and rehabilitation engineering, 25(11):1998–2008, 2017

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:47.813169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation edc838df-e761-41d6-8c06-818cd670d83b · outbound

This paper cites Towards long-term sleep staging via wearable reflective photoplethysmography.SLEEPJ, page zsaf246, 2025.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Towards long-term sleep staging via wearable reflective photoplethysmography.SLEEPJ, page zsaf246, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:47.612140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 11699668-ad2c-4597-9ca4-34cdbecb0e69 · outbound

This paper cites Deep learning en- ables sleep staging from photoplethysmogram for patients with suspected sleep apnea.Sleep, 43(11):zsaa098, 2020.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Deep learning en- ables sleep staging from photoplethysmogram for patients with suspected sleep apnea.Sleep, 43(11):zsaa098, 2020

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:47.415024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dba6b640-4acb-4b96-96cf-cf6ddfcb3107 · outbound

This paper cites Getting More from Less: Transfer Learning Improves Sleep Stage Decoding Accuracy in Peripheral Wearable Devices.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Getting More from Less: Transfer Learning Improves Sleep Stage Decoding Accuracy in Peripheral Wearable Devices

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Resolution: verified exact; local_arxiv, observed 2026-08-06T00:39:44.411025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 45fec3ef-e7ba-4e24-b82a-98cd68c27746 · outbound

This paper cites Optimal detection of changepoints with a linear computational cost.Journal of the American Statistical Association, 107(500):1590–1598, 2012.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Optimal detection of changepoints with a linear computational cost.Journal of the American Statistical Association, 107(500):1590–1598, 2012

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:47.136456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 633ef91c-08ce-46e5-9bf9-a09260798e5e · outbound

This paper cites Bayesian Online Changepoint Detection.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Bayesian Online Changepoint Detection

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Resolution: unresolved; no resolver link, observed 2026-08-06T00:39:42.680893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0938b39-b295-407f-8eae-6393cc2ea0a2 · outbound

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Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Hidden semi-markov models.Artificial intelligence, 174(2):215–243, 2010

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:46.885657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0e558077-de13-4cad-bd4f-e2fc09fa07be · outbound

This paper cites Activity recognition from user-annotated acceleration data.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Activity recognition from user-annotated acceleration data

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:46.705738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 367e4680-e75b-41d3-8683-71e8180863e4 · outbound

This paper cites A tutorial on human activity recognition using body-worn inertial sensors.ACM Computing Surveys (CSUR), 46(3):1–33, 2014.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks A tutorial on human activity recognition using body-worn inertial sensors.ACM Computing Surveys (CSUR), 46(3):1–33, 2014

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:46.572433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b8a9c045-463b-49e3-ac82-244d51839914 · outbound

This paper cites Moddrop: adaptive multi- modal gesture recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(8):1692–1706, 2015.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Moddrop: adaptive multi- modal gesture recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(8):1692–1706, 2015

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 074d3dea-8a42-471c-8411-92a5b48b6250 · outbound

This paper cites Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.Nature medicine, 25(1):65–69, 2019.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.Nature medicine, 25(1):65–69, 2019

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:46.361716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8d0fbcea-c62a-4cda-b994-102cd0e57ecb · outbound

This paper cites Sleepvst: Sleep staging from near-infrared video signals using pre-trained transformers.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Sleepvst: Sleep staging from near-infrared video signals using pre-trained transformers

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:46.184258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f680f14f-1015-4174-9683-9a217ab43d2b · outbound

This paper cites Aasm scoring manual updates for 2017 (version 2.4), 2017.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Aasm scoring manual updates for 2017 (version 2.4), 2017

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Resolution: unresolved; no resolver link, observed 2026-08-06T00:39:43.437153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2349f7b6-25aa-4f1f-a30f-2bd93cf69c2e · outbound

This paper cites Photoplethysmography and its application in clinical physiological measurement.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Photoplethysmography and its application in clinical physiological measurement

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba2fc57a-2ce4-4d42-ad7d-741d0a050e41 · outbound

This paper cites Spindle frequency activity in the sleep eeg: individual differences and topographical distribution.Electroen- cephalography and clinical neurophysiology, 103(5):535–542, 1997.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Spindle frequency activity in the sleep eeg: individual differences and topographical distribution.Electroen- cephalography and clinical neurophysiology, 103(5):535–542, 1997

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:45.966591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6b32d3f7-be04-4153-b99e-8e9f290022b6 · outbound

This paper cites Racial/ethnic differences in sleep disturbances: the multi-ethnic study of atherosclerosis (mesa).Sleep, 38(6):877–888, 2015.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Racial/ethnic differences in sleep disturbances: the multi-ethnic study of atherosclerosis (mesa).Sleep, 38(6):877–888, 2015

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:45.843805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b9ee55a6-b7c1-4c11-a9c6-095cc655cac4 · outbound

This paper cites Normal human sleep: an overview.Principles and practice of sleep medicine, 4(1):13–23, 2005.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Normal human sleep: an overview.Principles and practice of sleep medicine, 4(1):13–23, 2005

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:45.680704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2cb3c20a-9dcf-42fe-9d7e-8c372c220778 · outbound

This paper cites The familial aggregation of obstructive sleep apnea.American journal of respiratory and critical care medicine, 151(3):682–687, 1995.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks The familial aggregation of obstructive sleep apnea.American journal of respiratory and critical care medicine, 151(3):682–687, 1995

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:45.523004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f3966620-9726-4782-8488-205adb05a686 · outbound

This paper cites Sleepppg-net2: Deep learning generalization for sleep staging from photoplethysmography.Physiological Measurement, 46(12):125001, 2025.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Sleepppg-net2: Deep learning generalization for sleep staging from photoplethysmography.Physiological Measurement, 46(12):125001, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:45.344966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b5cb6194-b403-4e17-b644-8cd5e8ed56bb · outbound

This paper cites Interrater reliability for sleep scoring according to the rechtschaffen & kales and the new aasm standard.Journal of sleep research, 18(1):74–84, 2009.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Interrater reliability for sleep scoring according to the rechtschaffen & kales and the new aasm standard.Journal of sleep research, 18(1):74–84, 2009

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:45.130410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9b496ca7-d252-4be2-a6fb-86f7f9b98ae0 · outbound

This paper cites Sympathetic-nerve activity during sleep in normal subjects.New England Journal of Medicine, 328(5):303–307, 1993.

Rethinking PPG-based Sleep Staging: Datasets, Metrics, and Benchmarks Sympathetic-nerve activity during sleep in normal subjects.New England Journal of Medicine, 328(5):303–307, 1993

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:39:44.958554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers