title: Development and Evaluation of a Wearable Device for Sleep Quality Assessment.
abstract: In this study, a wearable actigraphy recording device with low sampling rate (1 Hz) for power saving and data reduction and a high accuracy wake-sleep scoring method for the assessment of sleep were developed.
  
  
  
  The developed actigraphy recorder was successfully applied to overnight recordings of 81 subjects with simultaneous polysomnography (PSG) measurements. The total length of recording reached 639.8 h. A wake-sleep scoring method based on the concept of movement density evaluation and adaptive windowing was proposed. Data from subjects with good (N = 43) and poor (N = 16) sleep efficiency (SE) in the range of 52.7-97.42% were used for testing. The Bland-Altman technique was used to evaluate the concordance of various sleep measurements between the manual PSG scoring and the proposed actigraphy method.
  
  
  
  For wake-sleep staging, the average accuracy, sensitivity, specificity, and kappa coefficient of the proposed system were 92.16%, 95.02%, 71.30%, and 0.64, respectively. For the assessment of SE, the accuracy of classifying the subject with good or poor SE reached 91.53%. The mean biases of SE, sleep onset time, wake after sleep onset, and total sleep time were -0.95%, 0.74 min, 2.84 min, and -4.3 min, respectively.
  
  
  
  These experimental results demonstrate the robustness and reliability of our method using limited activity information to estimate wake-sleep stages during overnight recordings.
  
  
  
  The results suggest that the proposed wearable actigraphy system is practical for the in-home screening of objective sleep measurements and objective evaluation of sleep improvement after treatment.
authors.forename: Chih-En
authors.initials: CE
authors.lastname: Kuo
authors.forename: Yi-Che
authors.initials: YC
authors.lastname: Liu
authors.forename: Da-Wei
authors.initials: DW
authors.lastname: Chang
authors.forename: Chung-Ping
authors.initials: CP
authors.lastname: Young
authors.forename: Fu-Zen
authors.initials: FZ
authors.lastname: Shaw
authors.forename: Sheng-Fu
authors.initials: SF
authors.lastname: Liang
mesh_terms: D061725:Accelerometry / Q000295:instrumentation*; D056044:Actigraphy / Q000295:instrumentation*; D000328:Adult; D000465:Algorithms; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006801:Humans; D055617:Micro-Electrical-Mechanical Systems / Q000295:instrumentation*; D008875:Middle Aged; D018670:Monitoring, Ambulatory / Q000295:instrumentation*; D017286:Polysomnography / Q000295:instrumentation*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012894:Sleep Stages / Q000502:physiology*; D018511:Systems Integration; D013673:Technology Assessment, Biomedical; D055815:Young Adult