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Apple Watch : Scientific Sleep Test

🔴 General Amazon link*: https://geni.us/thequantifiedscientist 🔴 Apple Watch link*: https://geni.us/AppleWatch7 🟢 Instagram:   / quantified_scientist   🟠 Shorts:    / @smartwatchshorts   🔵 Newsletter: www.robterhorst.com 🟡 Twitter: @QuantifiedRob * Affiliate (paid) links support the channel by earning me a commission on any sale, and it doesn't cost you any more! My opinions are completely my own, and this content is not sponsored. Paper on the Dreem 2 Headband: https://pubmed.ncbi.nlm.nih.gov/32433... Conflict of interest note: Dreem employees are co-authors. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 👇 $30 off any new WHOOP membership, affiliate* (paid) link, supports the channel!👇 https://join.whoop.com/QuantifiedScie... ($30 off any new WHOOP membership) ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 👇Amazon Affiliate* (paid) links. Supports the channel, doesn't cost you any more!👇 ▬▬▬▬▬▬▬▬▬▬BEST WATCHES▬▬▬▬▬▬▬▬▬▬ Whoop Strap 4.0: https://join.whoop.com/QuantifiedScie... ($30 off any new WHOOP membership) General Amazon link: https://geni.us/thequantifiedscientist Samsung Galaxy Watch 5: https://geni.us/SamsungWatch5 Huawei Watch Fit 2: https://geni.us/HuaweiWatchFit2 Huawei Watch GT3 Pro: https://geni.us/thequantifiedscientist Huawei Watch GT Runner: https://geni.us/HuaweiWatchGtRunner Huawei Watch GT 3: https://geni.us/Huawei_Watch_GT3 Apple Watch 7 41 mm: https://geni.us/AppleWatch7_41 Apple Watch 7 45 mm: https://geni.us/AppleWatch7 Apple Watch 6: https://geni.us/0gNGeO Apple Watch SE: https://geni.us/Apple_Watch_SE_44 Garmin Fenix 7: https://geni.us/Garmin_Fenix_7 Garmin Venu 2: https://geni.us/Garmin_Venu_2 Garmin Instinct 2: https://geni.us/Garmin_Instinct_2 Polar H10: https://geni.us/hnXc Polar OH1+: https://geni.us/D7bs5 Polar Verity Sense: https://geni.us/polarVeritySense ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 📸My Gear* (paid links, supports the channel and doesn’t cost you any more)📸 Camera body (main): https://geni.us/SonyA6600_body Camera lense (main): https://geni.us/SigmaContemporary Camera (B-roll): https://geni.us/CanonEosM50MarkII and https://geni.us/Sony_ZVE10 Light: https://geni.us/Godox_VL150 Softbox: https://geni.us/NiceFotoSoftbox Light stand: https://geni.us/WalimexLightstand ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Timestamps: 00:00 Intro 00:52 How Apple Tracks Sleep 02:24 Test Design 03:49 Deep Sleep Test 06:21 Light Sleep Test 06:48 REM Sleep Test 09:05 Sleep Cycles Test 09:53 Awake Detection 11:53 37 Watches Tested 13:25 Sleep Timing Test 14:34 Limitations 15:29 Missing Features 16:06 Am I Biased? 16:52 Conclusions Intro: When Apple first announced their new sleep tracking functionality, they did not provide much detail as to how it actually works, but let’s briefly summarize what they did tell us, and what this means.The best way to measuring sleep stages, what scientists call the gold standard, is called polysomnography. This basically means measuring the electrical signals coming from the brain while you are sleeping, and in addition also measuring the movements of the eyes and of some muscles. This way scientists can get an accurate picture of what sleep stages you went through. So, to make sleep tracking more comfortable and readily available, Apple trained a computer algorithm that takes in the heart rate and movement data from the Apple Watch, and uses that to predict your sleep stages. To create this algorithm, they collected both polysomnography data and heart rate and movement data with the Apple Watch, on what they say is “the largest and most diverse study population for a wearable”. That algorithm then uses the sleep stages measured with polysomnography, and tries to predict the same sleep stages with just heart rate and movement data from the Apple Watch. If Apple has enough data and good machine learning tools, they could have potentially created a very good sleep tracking algorithm, making sleep tracking available to the general public. So, how did I test this? Well, I evaluated the sleep stage tracking of the Apple Watch for 18 nights by comparing it to the Dreem 2 EEG headband, a device that can actually measure my brainwaves, and was specifically designed for sleep stage tracking. The EEG device should therefore give us an impression if the Apple Watch is good enough for sleep stage tracking. In this case I used the Apple Watch 7 as the test device, but I think both older and newer Apple Watches will give more or less the same result, since the heart rate and movement measurements are roughly equally reliable between generations, as we saw in previous videos. Measuring heart rate and movement is especially easy during the night, when you are generally relatively still with a low heart rate. I should mention that I am using the beta version of WatchOS 9, but I suspect nothing will change with regards to sleep tracking in the official release, since the algorithm was already changed.