Dear colleagues, do you have experience in using a low-cost wearable to perform research about sleep quality? Do you have any suggestion concerning what is the best and accurate solution to record the amount of different sleep characteristics: total sleep, number of awakenings, REM, N-REM. Could you point me up an interesting paper related to these devices?
Thanks for your time.
Hello Luca Correale ,
we are currently working on this exact question. The gold-standard for wearable sleep recording is still the quite expensive actigraphy. We have this far tested several different consumer devices (Huawei, Apple, Fitbit, and others), however, none of them perform as well as we would like them to. A study from Stanford has recently tested the Amazfit Arc device ( Article Validation of minute-to-minute scoring for sleep and wake pe...
) and apparently achieved promising results.In my opinion, the issue generally lies less in the device, and more in the algorithms used to translate the raw movement data into sleep data. I thus recommend going for a device that allows easy access to the raw data, as opposed to devices, such as the Apple Watch, that hide it and only grant access to pre-processed data.
When it comes to REM/N-REM detection, I have yet to find a device, that performs anywhere near to reliably. Please keep us updated, should you find other studies and devices!
Kind regards
Dear Lukas Retzer , your answer is very helpful. Thank you for your time, I hope we will keep in touch on this topic. I'd like also, to read your interesting work on these devices soon.
Sincerely.
Lukas Retzer Luca Correale Hi. Can you help me confirm that this product is vs isn't perhaps the best on the commercial market?
https://ouraring.com/faq/
I've been waiting years with skepticism but am interested in moving forward with at least something this year. This device was recommended as a kind of best in the market. I agree access to raw data is very useful, especially as I am aware of some difference in HRV calculations. Any specific thoughts non-urgently appreciated. Thanks.
Dear Eric Klein, I'm sorry I don't know enough about that device. I think that a ring could suffer from more micro-movements of the fingers than classic wrist-devices (I agree with you about raw data), but it is only a hypothesis. Hope you will share your experience with that instrument. Thank you.
Actigraphy: Wrist-worn ambulatory systems which utilise accelerometery can be used as a proxy for evaluating rest/activity rhythm, thus indirectly providing information about the sleep-wake cycle. Typical actigraphy equipment are lightweight, unobtrusive and non-invasive, which permits the monitoring of individuals in real-world conditions. There are a lots of commercially available brands such as the Actiwatch Spectrum, AX3 and GeneActiv Accelerometer which are designed for research purposes and unlike the Apple Watch and Fitbit, you have access to the raw data (refer to Lukas Retzer comment).
Polysomnography (PSG; sleep EEG): This is the gold standard methodology for assessing sleep. There are "mobile" wearable EEG systems such as the cEEGrid Article Sleep EEG Derived From Behind-the-Ear Electrodes (cEEGrid) C...
and the so called dry EEG systems which are unobtrusive.
Only a complete polysomnography can measure the different sleep parameters (sleep latency, light sleep N1, N2, SLP N3 and REM.
Are weimann or somnomedics portable devices reliable?
I hope you like this answer and good luck
Dr BERRICHI somnologist
Dear Dr Houria Berrichi, your answer is very helpful. Thank you for your time.
Dear Annika Hof Zum Berge , thank you for your support.
Sincerely,
Luca
Dear Luca,
I would suggest you to read my recent paper on wearables accuracy. You can download it freely at https://authors.elsevier.com/a/1asw3xsQaBzwg (the link is valid 50 days).
Best regards,
Gloria
Dear Gloria Cosoli, thank you for your answer and your time. The paper is very helpful to me.
Sincerely,
Luca
Dear Luca Correale , you should also take a look at this new paper. Given this monitor is not a wearable device, it seems to be able to accurately determine all the sleep measures you are looking for in a non-contact sensor system. Article Validation of sleep stage classification using non-contact r...
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