Explainer

Can consumer sleep trackers play a role in research?

Sleep trackers have become a multimillion-pound industry, with tech companies making increasingly smart devices for people to monitor their sleep and activity patterns. But what role can these gadgets play in research?

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Can consumer sleep trackers play a role in research?
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There is growing public awareness of how sleep is connected to many important facets of our health and wellbeing. One consequence of this is an increasing demand for devices that track sleep.

Consumer sleep technologies have become a lucrative industry, forecast to be worth US $7 billion (£6 billion) by 2026, with an expanding range of ever more sophisticated devices entering the market.

Most consumer sleep tracking technologies feature wearable sensors that measure body movements and heart rate. This information is used to estimate the quality and quantity of a person’s sleep. Typically, trackers are worn on the wrist, have wireless connectivity and allow real-time collection of data in the home environment.

Due to their usability, low cost and widespread availability, these devices are attracting the interest of researchers as tools for investigating the connections between sleep, circadian rhythms and health. In particular, consumer sleep trackers offer scientists the chance to generate information outside of the laboratory, in more natural home environments.

As technology advances and more devices emerge, however, there’s a greater need to understand the strengths and limitations of using consumer sleep technologies in research.

Consumer sleep trackers vs clinical sleep trackers 

What are some of the key differences, advantages and disadvantages between consumer and clinical grade sleep trackers?

Environment and usability

One of the most notable differences between consumer and clinical grade devices is the context and timescales in which they can be used.

Studies with clinical grade sleep technologies typically take place in a laboratory setting under controlled conditions, making it expensive and challenging to measure sleep for longer than a few days. The higher cost and specialist input required to set up and interpret data from these devices may limit the number of individuals that can be studied.

In contrast, consumer grade devices, designed for the wellbeing market, have greater usability and aesthetic appeal. Generally, they are lower cost than research or clinical devices, and have wireless connectivity, which means sleep and other activity can be tracked remotely, in real time, and at scale. They may also allow other variables, such as light intensity, to be studied.

Consumer sleep trackers are therefore more suitable for continuous long-term use in free-living, ‘real-world’ conditions. This may allow greater understanding of sleep-wake patterns over time, including how those patterns are affected by psychological and environmental variables.

Types of data available

There are several limitations to the use and interpretation of the data currently available via consumer sleep technologies.

For example, consumer grade devices use algorithms to estimate sleep. These algorithms are not available to researchers and vary between devices and manufacturers. This makes interpreting data from different devices challenging.

A consumer device might estimate sleep with relative accuracy in an individual with healthy sleep patterns, but perform in unforeseen and unpredictable ways when used by someone with a sleep problem, such as insomnia. Consumer sleep trackers are also less accurate in detecting the various stages of sleep than the research models used in laboratory studies.

Conversely, research grade devices produce more accurate data. Laboratory trackers have also been examined in validation studies, which compares the performance of the technology against a ‘gold standard’ measure, typically polysomnography (monitoring equipment that records brain waves). 
 

Pros and cons of various sleep tracking technologies 

  Consumer sleep technologies Clinical and research grade sleep technologies
Examples
  • ‘Wearables’ – devices that are worn on the wrist, finger, or elsewhere on the body 
  • ‘Nearables' – devices that sit by the bedside or under the mattress  
  • Smartphone apps 
  • Polysomnography in a sleep laboratory 
  • Home-EEG devices* 
  • Wrist-worn actigraphy and accelerometry, a device that records human movement 
  • Home sleep studies measuring blood flow and oxygenation 
Potential advantages
  • Lower cost 
  • Allow sleep-sensing at scale 
  • Allows monitoring over extended periods in free-living conditions  
  • Automated estimation of sleep 
  • Real-time feedback to user to promote behavioural change 
  • Aesthetically appealing, non-intrusive and non-stigmatising
Potential disadvantages
  • Lack of calibration  
  • Lack of standardisation between devices and between manufacturers 
  • Poor measurement of daytime naps 
  • Rapid development and replacement cycle 
  • Lack of access to algorithms and raw data 
  • Potential concerns over privacy and data security 
  • Higher cost 
  • Less acceptable for long-term use in the home environment 
  • Scalability an issue 
  • Lengthy development cycle 
  • Requires trained technicians for interpretation of data 

*EEG devices for home use are being developed, which straddle the ‘consumer’ and ‘clinical’ spaces

More research is needed 

Harnessing the strengths of using data produced by consumer devices in research, whilst remaining aware of the limitations of that data, could help us better understand the links between sleep, circadian rhythms and mental health.

This is why sleep tracking is part of our latest funding call.

We will award up to £3 million to teams researching the roles of sleep and circadian rhythm disruptions in the development and resolution of anxiety, depression, and/or psychosis.

"The lines between consumer and clinical grade sleep technologies are becoming increasingly blurred, and each has a lot to learn from the other."

Nicholas Meyer, a consultant in psychiatry and sleep medicine

Research under this remit can include assessing the performance of sleep technologies as research tools and improving our understanding of how they might be used across different age groups, sleep and mental health disorders, or in geographic contexts. Key considerations include identifying the circumstances under which the use of consumer sleep technologies is or is not appropriate.

“The lines between consumer and clinical grade sleep technologies are becoming increasingly blurred, and each has a lot to learn from the other,” said Nicholas Meyer, a consultant in psychiatry and sleep medicine.

“Encouraging cross-talk and collaboration between academia and industry partners is an important goal to promoting progress in the field.”

Lived experience advice should be sought in any research work on sleep trackers. This can include addressing concerns around data privacy and the potential stress or anxiety that may arise from tracking sleep.

“I hope there will be more research results that unpack the personal preferences and accessibility of using sleep tracking devices,” said Benny Prawira, a lived experience advisor at Wellcome.

“I believe it is important to explore the helpful and harmful effects of using sleep tracking devices. These are important research topics as the foundation of implementing sleep tracking to help us alleviate the burden of sleep issues.”

We’re funding research to help create transformative change in early intervention for anxiety, depression and psychosis. Explore our current funding call(s):