PMID- 24013826
OWN - NLM
STAT- MEDLINE
DCOM- 20140829
LR  - 20140430
IS  - 1558-2531 (Electronic)
IS  - 0018-9294 (Linking)
VI  - 61
IP  - 2
DP  - 2014 Feb
TI  - Sleep and wakefulness state detection in nocturnal actigraphy based on movement 
      information.
PG  - 426-34
AB  - Wrist actigraphy (ACT) is a low-cost and well-established technique for long-term 
      monitoring of human activity. It has a special relevance in sleep studies, where 
      its noninvasive nature makes it a valuable tool for behavioral characterization 
      and for the detection and diagnosis of some sleep disorders. The traditional 
      sleep/wakefulness state estimation algorithms from the nocturnal ACT data are 
      unbalanced from a sensitivity and specificity points of view since they tend to 
      overestimate sleep state, with severe consequences from a diagnosis point of 
      view. They usually maximize the overall accuracy that does not take into account 
      the highly unbalanced state distribution. In this paper, a method is proposed to 
      appropriately deal with this unbalanced problem, achieving similar sensitivity 
      and specificity scores in the state estimation process. The proposed method 
      combines two linear discriminant classifiers, trained with two different criteria 
      involving movement detection to generate a first state estimate. This result is 
      then refined by a Hidden Markov Model-based algorithm. The global accuracy, the 
      sensitivity, and the specificity of the method are 77.8%, 75.6%, and 81.6%, 
      respectively, performing better than the tested algorithms. If the performance is 
      assessed only for movement periods, this improvement is even higher.
FAU - Domingues, Alexandre
AU  - Domingues A
FAU - Paiva, Teresa
AU  - Paiva T
FAU - Sanches, J Miguel
AU  - Sanches JM
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - United States
TA  - IEEE Trans Biomed Eng
JT  - IEEE transactions on bio-medical engineering
JID - 0012737
SB  - IM
MH  - Actigraphy/*methods
MH  - Adult
MH  - Algorithms
MH  - Discriminant Analysis
MH  - Female
MH  - Humans
MH  - Male
MH  - Markov Chains
MH  - Middle Aged
MH  - Movement/physiology
MH  - Signal Processing, Computer-Assisted
MH  - Sleep/*physiology
MH  - Wakefulness/*physiology
EDAT- 2013/09/10 06:00
MHDA- 2014/08/30 06:00
CRDT- 2013/09/10 06:00
PHST- 2013/09/10 06:00 [entrez]
PHST- 2013/09/10 06:00 [pubmed]
PHST- 2014/08/30 06:00 [medline]
AID - 10.1109/TBME.2013.2280538 [doi]
PST - ppublish
SO  - IEEE Trans Biomed Eng. 2014 Feb;61(2):426-34. doi: 10.1109/TBME.2013.2280538.