ライフサイエンスコーパス: drowsiness

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 placebo regarding constipation or sleepiness/drowsiness.

5 idely used physiological correlate of driver drowsiness.

6 r depression, 65% for tiredness, and 60% for drowsiness.

7 , dizziness/light-headedness, and somnolence/drowsiness.

8 S) is employed as the ground truth of driver drowsiness.

9 tability (280 [55.9%]; 95% CI, 51.5%-60.2%), drowsiness (247 [49.3%]; 95% CI, 44.9%-53.7%), and short

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

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

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

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

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

15 h (MVC) among older adults through prolonged drowsiness and delayed reaction times.

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

17 Neural wearables can enable life-saving drowsiness and health monitoring for pilots and drivers.

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

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

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

21 chypnea, neck muscle use, abdominal paradox, drowsiness, and inability to obey were associated with i

22 Dizziness, drowsiness, and visual disturbances were more common in

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

24 Nurses responded to drowsiness by engaging in multiple ineffective counterme

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

26 Real-time drowsiness data showed that caffeine produced only a mod

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

28 or in utilizing EEG-based measures in driver drowsiness detection systems.

29 unsatisfactory due to inadequate accuracy of drowsiness detection.

30 utional neural networks (CNNs) for EEG-based drowsiness detection.

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

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

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

34 ad been found in near-opposite conditions of drowsiness during sleep deprivation and alert cognitive

35 circadian trough and monitored participants' drowsiness during task performance with infra-red oculog

36 g, current practices and methods to mitigate drowsiness during the shift and commute, preferences and

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

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

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

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

41 Drowsiness in nine and depression in seven patients were

42 s a robust and reliable solution to estimate drowsiness in real-time which opens the door in utilizin

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

44 ere recorded across nine subjects performing drowsiness-inducing tasks.

45 findings suggest a strong need for real time drowsiness interventions during or immediately prior to

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

47 Drowsiness is a leading cause of accidents on the road a

48 Driver drowsiness is a significant safety concern, contributing

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

50 ations (SHAP) study found factors, including drowsiness/lethargy, age, ataxia, abdominal pain, and el

51 = 2.9), disturbed sleep (M = 2.7, SD = 2.3), drowsiness (M = 2.6, SD = 2.0) and lack of appetite (M =

52 preferences and expectations for training on drowsiness management, and, preferences and expectations

53 Our results suggest that ALA is a drowsiness neuron with two separable functions: (1) it i

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

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

56 1), tiredness (OR, 1.82; 95% CI, 1.52-2.19), drowsiness (OR, 1.64; 95% CI, 1.39-1.93), anxiety (OR, 1

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

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

59 in dental outpatients, including dizziness, drowsiness, psychomotor impairment, nausea/vomiting, and

60 ALA-dependent drowsiness, rather than RIS-dependent sleep bouts, appea

61 Drowsiness ratings were not a good predictor of impairme

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

63 Neurologic examination was notable for drowsiness, right gaze deviation, direction-changing tor

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

65 tomated, real-time classification of driving drowsiness, stress conditions, and sleep quality.

66 anzees engaged in behaviours associated with drowsiness, such as gathering bedding materials, constru

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

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

69 signals and the subtle temporal patterns of drowsiness, there is increasing recognition of the need

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

71 Feelings of drowsiness typically manifested immediately following th

72 The secondary end points included drowsiness, unpleasant taste, and stinging or burning.

73 timate the instantaneous level of the driver drowsiness using EEG signals, where the PERcentage of ey

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

75 More drowsiness was reported with doxepin mouthwash vs placeb

76 Physiological measures of drowsiness were collected, including infrared reflectanc

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

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

79 ear, dry-electrode earpieces used to monitor drowsiness with compact hardware.

80 dry, user-generic earpieces used to classify drowsiness with comparable accuracies to existing state-

81 tify cascades of intracranial B waves during drowsiness within 4 h of recording.