SleepGuard: Capturing Rich Sleep Information Using Smartwatch Sensing Data
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Citations
Robust Respiratory Rate Monitoring Using Smartwatch Photoplethysmography
A Review of the Non-Invasive Techniques for Monitoring Different Aspects of Sleep.
PhysiQ
Sleep posture one-shot learning framework based on extremity joint kinematics: In-silico and in-vivo case studies
Adjustment of Interval of Voices in Cognitive Shuffle Method by Body Movement Feedback with Binaural Sound
References
The Pittsburgh Sleep Quality Index: A new instrument for psychiatric practice and research.
C4.5: Programs for Machine Learning
The role of actigraphy in the study of sleep and circadian rhythms.
Hypothalamic regulation of sleep and circadian rhythms
The Role of Actigraphy in the Study of Sleep and Circadian Rhythms AMERICAN ACADEMY OF SLEEP MEDICINE REVIEW PAPER
Related Papers (5)
Frequently Asked Questions (14)
Q2. What future works have the authors mentioned in the paper "Sleepguard: capturing rich sleep information using smartwatch sensing data" ?
Exploring these techniques is part of their future work. This is where the authors need to measure and consider in their future work. Exploring such multi-sensor designs is an interesting future research direction. This will also be a direction for their future work.
Q3. What could be used to gather sensor data from both wrists?
multi-sensor designs, such as combination of smart watch and intelligent ring, could be used to gather relevant sensor measurements from both wrists.
Q4. What is the impact of wearing the smartwatch on a different wrist?
For the hand position detection and micro-body movement detection (including the arm raising and hand movement), wearing the smartwatch on a different wrist does have an impact.
Q5. What are the main factors that affect sleep quality?
the user’s breathing patterns, posture during sleep, and routines surrounding the bedtime also have a significant impact on sleep quality.
Q6. What is the main reason why insufficient or poor quality sleep has a significant economic burden?
Besides having an adverse effect on individuals, insufficient or poor quality sleep has a significant economic burden, among others, through decreased productivity, and medical and social costs associated with treatment of sleep disorders [47].
Q7. What are examples of consumer-grade sleep monitors?
Examples of consumer-grade sleep monitors range from apps running on smartphones or tablets to smartwatches and specialized wearable devices [10, 32, 34, 58, 67, 69].
Q8. Why is the hand placed on the head different from the other positions?
This is largely due to the upward facing direction of the palm when the hand is placed on the head compared to the downward palm direction when the hand is placed the other positions.
Q9. Why do current solutions focus on monitoring characteristics of the sleep itself?
This is because current solutions focus on monitoring characteristics of the sleep itself, without considering behaviours occurring during sleep and the environmental context affecting sleep, e.g., ambient light-level and noise.
Q10. What is the method used to detect if the hand was placed on the head?
If their hierarchical model predicts that the hand was not placed on the head, the authors then use the method described in the next paragraph to detect if it was placed on the abdomen or the chest.
Q11. What can the authors do to improve the detection performance of the sleep posture?
For this kind of situation, the authors can test the change of acceleration data in multi-sleeper situations by popularizing the experiment to adjust the detection threshold of their body’s micro movements and achieve better detection performance.
Q12. Why is SLEEPGUARD a better sleep monitoring system?
This is because PSG monitors and analyzes sleep based on information that directly correlates with sleep such as EEG, EMG, EOG, and oxygen saturation, whereas SLEEPGUARD estimates sleep quality from cues that have an indirect effect on sleep quality.
Q13. What are the main issues that need to be addressed in the system?
While the recognition performance of their system is very encouraging, there are some issues that would need to be addressed in their system before larger-scale deployment would be feasible.
Q14. What is the difference between the supine and the left-lateral posture?
In terms of errors, due to angular characteristics of acceleration being similar between the supine posture with hand putting on the head and the left-lateral posture, a small amount of the supine postures are classified as left lateral.