Ashwin Lewis
Jawbone is a well-known electronics manufacturer that has created a unique fitness gadget, the Jawbone UP, which can be used to track sleep. The Jawbone UP is a wristband that tracks movement and sleep, and this information is stored in a corresponding app on your smartphone. The wristband acts as an actimetry sensor, registering a person's movements as they rest and sleep. The data is then processed through proprietary algorithms to determine whether the user had a restful night or was tossing and turning. This method of tracking sleep is called actigraphy, which is often used in sleep studies. While actigraphy is a convenient way to study sleep patterns, it may not be accurate for those with disrupted sleep patterns.
| Characteristics | Values |
|---|---|
| Method | Actigraphy |
| Accuracy | Good for overall sleep time, not for sleep phases |
| Sleep Disorders | Can be used to study sleep patterns of people with sleep disorders |
| Data Translation | Software translates movements into sleep data |
| Data Analysis | Data is analysed through proprietary algorithms |
| Heart Rate | Can monitor heart rate |
| Compatibility | Works with iPhone 3GS and newer models, all iPad models, and iPod touch generation 4 or newer |
| Alerts | Vibrating motor alerts the user to get moving |
| Sleep Mode | Registers more subtle movements |
| Food Diary | Can enter meals to compare with calories burned |
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What You'll Learn
Jawbone UP3's ability to quantify and classify sleep
The Jawbone UP3 (JB3) is a multisensory, wrist-worn fitness tracker that can be used to monitor sleep. It is equipped with an accelerometer to track movement and a heart rate monitor to gather data about sleep patterns. The device uses actigraphy, a method that involves tracking an individual's movements to measure sleep. This data is then translated into periods of sleep and wakefulness.
The JB3 has been evaluated for its ability to quantify and classify sleep in patients with suspected central disorders of hypersomnolence. The study involved 43 patients who wore the JB3 while undergoing polysomnography (PSG) and a Multiple Sleep Latency Test (MSLT). The results showed that while the JB3 was relatively good at detecting sleep epochs (with a sensitivity of 0.97), it struggled to distinguish between light, deep, and REM sleep. It also significantly overestimated total sleep time by 39.6 minutes when compared to PSG.
The JB3's ability to detect true sleep (sensitivity) was high, but its ability to detect true wakefulness (specificity) was poor when compared to PSG. This is consistent with other wrist-worn sleep-tracking devices, which tend to have higher sensitivity and lower specificity. The JB3 also struggled to accurately identify wake epochs, with an AS specificity of 0.39 when compared to PSG.
The study concluded that the JB3 did not accurately quantify or classify sleep in patients with suspected central disorders of hypersomnolence, particularly when it came to identifying REM sleep. Therefore, it cannot be used as a substitute for PSG or MSLT in the assessment of these patients. However, the JB3 may still have some utility in estimating total sleep time in this population.
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Jawbone's accuracy in sleep phase prediction
Jawbone's sleep tracking technology, known as actigraphy, works by tracking the user's movements while they sleep. The device is usually worn on the wrist and uses accelerometers to track the speed and direction of motion. When the user sets their device to “sleep mode”, it monitors their movements and translates them into periods of sleep and wake.
While actigraphy is generally considered accurate enough for tracking sleep in healthy adults with normal sleep patterns, its accuracy decreases with more disrupted sleep. This is because actigraphy only tracks movement, whereas sleep researchers emphasize the importance of brain waves and eye movements in assessing sleep phases. As a result, Jawbone's accuracy in sleep phase prediction is limited, particularly for those with sleep disorders or disrupted sleep.
One study evaluated the agreement between Jawbone UP and polysomnography (PSG) in assessing sleep in a sample of 28 midlife women. The Jawbone UP showed high sensitivity in detecting sleep (0.97) but low specificity in detecting wake (0.37). It overestimated PSG total sleep time by 26.6±35.3 minutes and sleep onset latency by 5.2±9.6 minutes, while underestimating wake after sleep onset by 31.2±32.3 minutes. These discrepancies were more pronounced on nights with more disrupted sleep.
Another study compared the Jawbone UP3 (JB3) with PSG and actigraphy in patients with suspected central disorders of hypersomnolence. The JB3 demonstrated a significant overestimation of total sleep time (39.6 minutes) relative to PSG and performed poorly in distinguishing between light, deep, and REM sleep. As a result, the device was deemed unsuitable as a surrogate for PSG in the assessment of patients with suspected central disorders of hypersomnolence.
Overall, while Jawbone's sleep tracking technology can provide a general guide to sleep time and efficiency, it may not be accurate enough for those with sleep disorders or disrupted sleep. Its accuracy in sleep phase prediction is limited by its reliance on movement tracking alone, without taking into account other important factors such as brain waves and eye movements.
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How Jawbone UP works in sleep mode
The Jawbone UP is a unique fitness gadget from a well-known electronics manufacturer. It is a wristband that tracks movement and sleep, with the data stored in a corresponding app on your smartphone. The Jawbone UP app also has a food diary feature, allowing you to track your meals and calories burned.
In sleep mode, the Jawbone UP acts as an actimetry sensor, registering more subtle movements as the wearer rests and sleeps. The data is then processed through proprietary algorithms, resulting in a record of whether the user slept soundly or restlessly. This method of tracking sleep is called actigraphy, which is often used in sleep studies. Actigraphy uses a device, usually worn on the wrist, to track movement while the wearer is sleeping. The software then translates those movements into periods of sleep and wakefulness. This is a convenient way for people with sleep disorders or disruptions to study their sleep patterns without having to sleep in a lab.
The Jawbone UP3 (JB3) is a multisensory fitness tracker that can quantify and classify sleep in patients with suspected central disorders of hypersomnolence. The JB3 has been shown to overestimate total sleep time and sleep onset latency while underestimating wake after sleep onset. It also struggles to distinguish between light, deep, and REM sleep. However, it has been found to have good overall agreement with polysomnography (PSG) in assessing sleep in adult women, adolescents, and midlife women.
The Jawbone UP can also be used in conjunction with the Sleepio app, which offers a "clinically proven sleep improvement program". This program includes cognitive behavioural therapy (CBT) sessions that provide suggestions and techniques to improve your sleep efficiency (SE).
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Jawbone UP's agreement with PSG measures
The Jawbone UP is a fitness-tracking device that can be used to monitor sleep. It uses actigraphy to track sleep, which involves measuring movements to determine periods of sleep and wake. While actigraphy is a convenient method for studying sleep patterns, its accuracy is lower in individuals with disrupted sleep patterns or sleep disorders.
The Jawbone UP has been compared to polysomnography (PSG), the current standard assessment for sleep disorders, in several studies. One study found that the Jawbone UP overestimated PSG total sleep time by 26.6 ± 35.3 minutes, overestimated sleep onset latency by 5.2 ± 9.6 minutes, and underestimated wake after sleep onset by 31.2 ± 32.3 minutes. Bland-Altman plots revealed greater discrepancies on nights with more disrupted sleep.
Another study evaluated the ability of the Jawbone UP3 (JB3), a multisensory fitness tracker, to quantify and classify sleep in patients with suspected central disorders of hypersomnolence. The JB3 overestimated total sleep time by 39.6 minutes relative to PSG but performed comparably to the Actiwatch 2 (AW2). The JB3 was relatively good at detecting sleep epochs (sensitivity = 0.97) but poor at distinguishing between light, deep, and REM sleep.
The Jawbone UP has also been compared to PSG in adolescents, with one study finding good agreement between the two methods in total sleep time and wake after sleep onset. The Jawbone UP overestimated PSG total sleep time and sleep efficiency, but the differences were small and did not exceed clinically meaningful cutoffs. Overall, the Jawbone UP showed good agreement with PSG in adolescent boys and girls, but further validation is needed in other age groups and clinical populations.
In summary, the Jawbone UP and Jawbone UP3 show good agreement with PSG measures of total sleep time and wake after sleep onset in certain populations. However, they may not accurately quantify or classify sleep in individuals with suspected sleep disorders and have difficulty distinguishing between sleep stages. Therefore, while the Jawbone devices can provide valuable insights into sleep patterns, they should not be solely relied upon for diagnostic purposes.
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Jawbone's Sleepio app
The Jawbone UP3 (JB3) is a multisensory fitness tracker that can be used to track sleep. The tracker is worn on the wrist and uses actigraphy to track sleep by measuring movements. The software then translates these movements into periods of sleep and wake. The Jawbone UP3 has been found to have high sensitivity in detecting sleep and poor specificity in detecting wakefulness when compared to polysomnography (PSG).
The Sleepio app can be used in conjunction with the Jawbone UP wristband to improve sleep. The band tracks movement and sleep, and this information is stored in the user's Sleepio account. The app includes a simple online diary where users can input additional information about their sleep. Sleepio then analyses the data and provides a "clinically proven sleep improvement program". This includes six online weekly cognitive behavioural therapy (CBT) sessions that cover topics such as sleep environment and techniques to counteract negative thoughts. The goal of the program is to improve "sleep efficiency" (SE), which is a measure of the total time asleep expressed as a percentage of the total time in bed.
During the first week of the program, Sleepio records the amount of time the user spends in bed asleep, and then only allows them to spend that amount of time in bed for the next three weeks. For example, if a user's average sleep time is six hours, they will have to go to bed and get up earlier during the second phase. If the user wakes up in the middle of the night, they have to get out of bed, with the idea being that the user only associates their bed with sleep. After three weeks, the user should see an improvement in their sleep efficiency.
The UP Move is another Jawbone device that offers sleep tracking. It can be worn anywhere on the body but is recommended to be worn on the wrist during sleep for more accurate tracking. The UP Move provides basic sleep tracking information such as sleep duration and quality, and uses an accelerometer to detect light, sound, and wake phases of sleep. However, users must manually activate sleep tracking mode on the UP Move, unlike other trackers that do this automatically.
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Frequently asked questions
The Jawbone UP is a unique fitness gadget from a well-known electronics manufacturer. It is a wristband that tracks movement and sleep.
The Jawbone UP acts like an actimetry sensor. It registers a person's movements as they rest and sleep. The UP system then analyzes the data by processing it through proprietary algorithms. The result is a record of whether the user slept well or tossed and turned.
The Jawbone UP has been found to have high sensitivity (ability to detect true sleep) and poor specificity (ability to detect true wake) when compared to polysomnography (PSG). It has been found to overestimate total sleep time and sleep onset latency, and underestimate wake after sleep onset. The accuracy of the Jawbone UP is also affected by disrupted sleep.
Alternatives to the Jawbone UP include the Fitbit Alta HR and the Nokia Steel HR.
