While Withings is no stranger to wrist-based sleep tracking, the firm announced today that their most unique sleep monitoring device, the Withings Sleep Diary mat, will now include a new journal function.
The mat, which is put beneath a person’s mattress, captures biometric sleep data such as heart rate, sleep phases, and snoring automatically. Users may now combine their observations with the data acquired by the mat in the new Sleep Diary function. This data is then collected into a new dashboard that shows how sleep data has changed over time. After that, users may create a PDF report to share with doctors.
Sleep Diary Will Track Your Sleep Cycle Perfectly
The journal function was created with the help of sleep experts and is based on medical assessments including the Epworth Sleepiness Scale and the STOP-Bang Questionnaire, according to a news release from Withings. The Epworth Tiredness Scale is a self-administered questionnaire that doctors and sleep clinics use to assess a person’s sleepiness during the day. Meanwhile, the STOP-Bang Questionnaire is a commonly used obstructive sleep apnea screening instrument. Neither can diagnose a specific sleeping issue, but they may both be used to determine whether a patient needs to be tested further. Manual sleep diaries are a popular method in sleep research, although they are inherently subjective.
Because it blends personal observations with data obtained from the mat, Withings says that this approach might be beneficial. Of course, this is contingent on the accuracy of the Withings Sleep measurements.
Fitbit is one of several wearable firms focusing on technologies to detect and diagnose diseases like sleep apnea. Late this year, Withings received FDA approval for its ScanWatch, which uses its SpO2 sensor to identify overnight breathing irregularities. This new Sleep Diary feature isn’t quite there, but it appears to be a more effective tool for folks who want to track long-term sleep patterns. Currently, most sleep trackers, whether they’re worn on the wrist or not, aren’t very good at providing users with a long-term perspective of their sleeping patterns.