ライフサイエンスコーパス: drowsiness

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1 ombination of EEG and NIRS, to detect driver drowsiness.

2 Time series analysis was used to predict drowsiness.

3 later) were headache, dizziness, nausea, and drowsiness.

4 symptoms included pain (48%), fatigue (46%), drowsiness (39%), and irritability (37%); most scores in

5 and weight gain (40%); and for risperidone, drowsiness (50%), menstrual irregularities in women (47%

6 elicited adverse events for olanzapine were drowsiness (53%), weight gain (51%), and insomnia (38%);

7 n (51%), and insomnia (38%); for quetiapine, drowsiness (58%), increased sleep hours (42%), and weigh

8 ety, appetite, pain, nausea, depression, and drowsiness all improved significantly (P <.05).

9 ct of actual night-shift work on measures of drowsiness and driving performance while operating a rea

10 Secondary end points were drowsiness and other driving measures, including lane ke

11 During low arousal states such as drowsiness and sleep, cortical neurons exhibit rhythmic

12 y thalamocortical oscillations that underlie drowsiness and slow-wave sleep depend on rhythmic inhibi

13 enerally associated with states of sleep and drowsiness, bursts may also play an important role in se

14 nolence, euphoria, vomiting, disorientation, drowsiness, confusion, loss of balance, and hallucinatio

15 Night-shift work increases driver drowsiness, degrading driving performance and increasing

16 unsatisfactory due to inadequate accuracy of drowsiness detection.

17 Self-reported drowsiness did not predict lack of coherence and was wea

18 The most severe symptoms were fatigue, drowsiness, disturbed sleep, muscle soreness and crampin

19 Increased appetite, fatigue, drowsiness, dizziness, and drooling were more common in

20 insomnia (PSQI >5), and 30% reported daytime drowsiness (ESS >/=10).

21 use and concerns for side effects, including drowsiness, fatigue, and constipation (chi(2) = 1.16, P

22 The most common adverse events included drowsiness, fatigue, and decreased appetite.

23 Significantly more episodes of drowsiness, hair loss, nausea, and dry or itchy scalp we

24 Drowsiness in nine and depression in seven patients were

25 We recently demonstrated that drowsiness, indexed using EEG, was associated with left-

26 number of automobile accidents due to driver drowsiness is a critical concern of many countries.

27 lectroencephalographic measures, that normal drowsiness is linked with a remarkable unidirectional te

28 o showed a rightward shift in attention with drowsiness, non-right-handers showed the opposite patter

29 rted breathing problems, sleep disturbances, drowsiness or tiredness, nausea, sweating, and being res

30 1), depression (P = .02), anxiety (P = .01), drowsiness (P < .001), appetite (P = .009), sleep (P < .

31 mostly transient, with the most common being drowsiness, peripheral neuropathy, edema, and dermatitis

32 Drowsiness ratings were not a good predictor of impairme

33 Night-shift workers are at high risk of drowsiness-related motor vehicle crashes as a result of

34 igher rate of lane excursions, average Johns Drowsiness Scale, blink duration, and number of slow eye

35 ng or burning, unpleasant taste, and greater drowsiness than the placebo rinse.

36 neurons should therefore be involved in the drowsiness that one feels after a high-sugar meal.

37 pairment, suggesting that drivers cannot use drowsiness to indicate when they should not drive.

38 Extreme drowsiness was reported by 12 (10%) of 116 patients assi

39 Physiological measures of drowsiness were collected, including infrared reflectanc

40 ve from endogenous factors such as stress or drowsiness, which result in quite high and quite low pre

41 rcent) had at least 1 six-minute interval of drowsiness while driving, as judged by analysis of video

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