ライフサイエンスコーパス: accelerometer

1 stored total daily active time (single-axis accelerometer).

2 , and activity counts measured by a triaxial accelerometer.

3 ysical activity was measured for 7 d with an accelerometer.

4 Network, Inc., Rocklin, California) vertical accelerometer.

5 ranscutaneous ulnar nerve stimulation and an accelerometer.

6 was objectively measured with a hip-mounted accelerometer.

7 activity and sedentary time were measured by accelerometer.

8 again at 6 months, while wearing an ear-worn accelerometer.

9 entary time was measured using a hip-mounted accelerometer.

10 the milli-whistle body can be recorded by an accelerometer.

11 ch, and demonstrate their use as an accurate accelerometer.

12 e phones and previously validated, dedicated accelerometers.

13 ed, including 75 participants (33%) who wore accelerometers.

14 data sets collected with depth recorders and accelerometers.

15 he 120-mg phase, as assessed by patient-worn accelerometers.

16 ent minutes of activity were collected using accelerometers.

17 measures of sleep quality and duration using accelerometers.

18 bout min per week, was measured via a sealed accelerometer and assessed on an intention-to-treat basi

19 from the resting hand were monitored with an accelerometer and surface EMG electrodes.

20 r and quantify behaviors based on continuous accelerometer and video data, we found that SPN ensemble

21 Subjects wore accelerometers and cellular network-based tracking devic

22 quipped free-ranging marine vertebrates with accelerometers and demonstrate that gait patterns resemb

23 Accelerometers and gyros monitored train and passenger y

24 eGaIT consist of accelerometers and gyroscopes attached to shoes that rec

25 n MVPA over seven days was ascertained using accelerometers and reported time spent in MVPA was asses

26 re tracked for 7 days with GPS receivers and accelerometers and surveyed with a Web-based mapping app

27 physical activity monitoring using triaxial accelerometers and undertook a maximal cardiorespiratory

28 Three-day dietary records, accelerometers, and dual-energy X-ray absorptiometry wer

29 ng cost of miniaturized wearable gyroscopes, accelerometers, and other physiologic sensors, as well a

30 Accelerometers are gaining popularity for the assessment

31 paring these instruments: Questionnaires and accelerometers are often calibrated (i.e., designed) to

32 re different types of physical activity, and accelerometers are still subject to measurement error.

33 physical transducers, initially developed as accelerometers, are applied as chemical sensors.

34 The use of an accelerometer as a gas detector in gas chromatography (G

35 Having higher accelerometer-assessed average counts per minute was ass

36 o generally observed for persons with higher accelerometer-assessed moderate and moderate-to-vigorous

37 Studies that include accelerometer-assessed PA and sedentary behavior can con

38 erate correlation between questionnaire- and accelerometer-assessed physical activity (Spearman's r =

39 Accelerometer-assessed sedentary behavior was generally

40 rous activities, but their correlations with accelerometer-assessed total physical activity were comp

41 n were healthy normal-weight adults based on accelerometer assessment (prevalence ratio: 0.59; 95% CI

42 sed on questionnaire and wrist-worn triaxial accelerometer assessments (GENEActiv), were examined by

43 ups by using both self-report and wrist-worn accelerometer assessments.

44 ore energetic activities, producing stronger accelerometer associations in these groups.

45 were inputted 6 times a day into an enhanced accelerometer at prespecified time points.

46 Participants wore accelerometers at baseline and 1 year later.

47 ges in head position by using two classes of accelerometer, at larval stages zebrafish lack functiona

48 self-reported physical activity data against accelerometer-based measurements among adults living in

49 However, our findings derived from accelerometer-based measurements suggest that increasing

50 Using accelerometer-based measures, we 1) described the mortal

51 ple improves the state-of-the-art in quantum accelerometers by exploiting relativistic effects.

52 To facilitate objective assessment, accelerometers, cameras, global positioning systems, and

53 in the form of shake detectors via portable accelerometers can provide notification of an ongoing to

54 Mean total volumes of PA (accelerometer count per minute, cpm) and moderate-vigoro

55 Ancillary measures, such as total accelerometer counts and total daily steps, that were si

56 , and sedentary activity and change in total accelerometer counts between baseline and follow-up.

57 (4.1; 95% CI, 2.7-5.6; P < .001), and total accelerometer counts per day (16,894; 95% CI, 5101-28,68

58 cal activity expressed as body movement (ie, accelerometer counts) differs from physical activity ene

59 n time in MVPA weekly in >/=10-minute bouts, accelerometer counts, and counts/minute at 3 months and

60 Correlations between accelerometer counts/minute of wear time and questionnai

61 behaviourally valid and population-specific accelerometer cut-points may improve the classification

62 semi-structured activities to determine the accelerometer cut-points.

63 activities was more strongly associated with accelerometer data (for sports, r = 0.22; for gardening,

64 dd Ratio (OR) = 1.29,95% (CI):1.09-1.53) and accelerometer data (length bout >/=1 minute:OR = 1.92, 9

65 's unnecessary to include only children with accelerometer data collected during weekends in analyses

66 y data from 3,806 adults in 2010-2011 and 2) accelerometer data from a subsample of 679 survey partic

67 edures should be undertaken before analysing accelerometer data in large-scale studies.

68 Accelerometer data obtained during the age seven sweep o

69 Accelerometer data showed this difference to be 3.40 (95

70 a new approach to the imputation of missing accelerometer data that takes into account the data avai

71 Accelerometer data were collected over 7 days of normal

72 2004 and 2005-2006 who provided 7 d of valid accelerometer data were used to illustrate this new appr

73 inimum wear criterion using population-based accelerometer data, and explore the influence of gender

74 68 participants (50.0%) had complete FDT and accelerometer data.

75 additional kinematic features extracted from accelerometer data.

76 submersible, animal-borne electrocardiograph-accelerometer-depth recorder to monitor physiological an

77 ent birth cohort from 10 study sites who had accelerometer-determined minutes of MVPA at ages 9 (year

78 ter, given the ubiquitous nature of personal accelerometer devices.

79 asured step time variability with a triaxial accelerometer during an 18 m walking task in three condi

80 a scores were recorded every five minutes by accelerometers embedded in GPS radio-collars for around

81 An accelerometer-embedded mouthguard measured head impact k

82 s (n = 4840) from NHANES (2003-2006) wore an accelerometer for </=7 d and were followed prospectively

83 ,809 adults 40 years of age or older wore an accelerometer for 1 week and self-reported their PA leve

84 ) radiographic OA in at least 1 knee wore an accelerometer for 6-7 contiguous days.

85 Children were asked to wear the accelerometer for 7 days.

86 vity questionnaire, and wore a wrist-mounted accelerometer for 9 days.

87 type of activities and 2) use of a triaxial accelerometer for assessing amount of activity.

88 girls) aged 10-14 years wore an RT3 triaxial accelerometer for seven days and measures of adiposity a

89 hildren were asked to wear an ActiGraph GT1M accelerometer for seven days.

90 ted 3 nonconsecutive 24-h diet recalls, wore accelerometers for 7 d, and self-reported meal practices

91 ctively measured sedentary time (via Actical accelerometers for 7 days) and multiple cardiometabolic

92 Patients wore accelerometers for a mean +/- SD of 6.8 +/- 0.3 days and

93 rs were developed and optimized as sensitive accelerometers for automotive applications.

94 MEMS accelerometers--found in most smart phones--can be mass-

95 Accelerometers, global positioning systems, cameras, and

96 rthern and Antarctic fur seals equipped with accelerometers, GPS, and time-depth recorders.

97 The Mars Global Surveyor (MGS) z-axis accelerometer has obtained over 200 vertical structures

98 Logging cameras and accelerometers have opened our eyes to the secret lives

99 Recently, tri-axial accelerometers have shown promise for estimating speed,

100 graphics tablet in three different labs, an accelerometer in three labs and a mechanical-linkage dev

101 ue of the Journal, Lim et al. used data from accelerometers in a small measurement study to correct s

102 An industrial robot rotated accelerometers in the vertical plane.

103 Data from study days in which the accelerometer is not worn for a number of hours that are

104 An accelerometer measured startle responses.

105 Vertical accelerometers measured physical activity continuously o

106 ed in 2012-2013, we examined associations of accelerometer-measured and self-reported sedentary time

107 tcome was change from baseline to 8 weeks in accelerometer-measured daily time expending at least 3 M

108 We analyzed interactions of accelerometer-measured moderate to vigorous physical act

109 among women at or below the median level of accelerometer-measured MVPA, those in the highest quarti

110 disease participants who underwent vertical accelerometer-measured physical activity continuously ov

111 data set to examine the association between accelerometer-measured physical activity level and morta

112 01 minutes [95% CI, 0.07 to 1.95]; P = .04), accelerometer-measured physical activity over 7 days (in

113 Accelerometer-measured physical activity over 7 days, 6-

114 Whole-body fat was positively related and accelerometer-measured physical activity was negatively

115 Accelerometer-measured physical activity was related to

116 PAD participants in the highest quartile of accelerometer-measured physical activity, those in the l

117 sured MVPA, those in the highest quartile of accelerometer-measured sedentary time had significantly

118 Accelerometer-measured sedentary time was not associated

119 tivity estimates corrected with an imperfect accelerometer measurement might over- or undercorrect th

120 Findings suggest that, on the basis of accelerometer measurements, higher sedentary time may be

121 tivity recall questionnaire and the triaxial accelerometer methods will be used to assess the effects

122 Using accelerometer minutes/day greater than or equal to 200 c

123 ical activity were measured with 4-7 days of accelerometer monitoring.

124 equivalence principle states that all linear accelerometers must measure both linear acceleration and

125 physical activity questionnaire and wore an accelerometer on their wrist for 9 days.

126 u observations with first-time deployment of accelerometers on free-ranging jellyfish and simulated t

127 Leveraging only a smartphone with its native accelerometers, our system guides a patient through an e

128 ifferent PA intensity levels were defined as accelerometer outcomes.

129 Accelerometer output correlated with clinical disease se

130 Participants wore an accelerometer over 7 days of normal activity.

131 ity level was determined by using a uniaxial accelerometer over a 9-d period.

132 unhealthy obese adults only when assessed by accelerometer (P = 0.002).

133 change techniques, pedometer step-count and accelerometer PA intensity feedback, and an individual P

134 etary intakes by food record, EE by triaxial accelerometer, physical activity by self-report, and bod

135 ial neurons function as a broadband inertial accelerometer, processing utricular acceleration signals

136 months using a dietary habits questionnaire, accelerometer readings of physical activity, and clinica

137 Three-day diet records and 48-h accelerometer readings were obtained at 0, 6, and 12 mo.

138 Accelerometers recorded gait and walking speed, step len

139 igorous (VPA) PA intensities were defined as accelerometer recordings of 100-2,224, 2,225-5,950, and

140 Daily physical activity assessed by accelerometers represents a novel method to assess the i

141 These internal linear accelerometers respond identically during translational

142 hat the acoustic sensor (combined hydrophone-accelerometer) response maps are similar to fin force ma

143 ormance comparable to many of the commercial accelerometer systems.

144 We developed a miniature accelerometer tag to study seal whisker movement in situ

145 Animal-borne activity monitors (using accelerometer technology) present a promising method of

146 r inner ear is equipped with a set of linear accelerometers, the otolith organs, that sense the inert

147 Physical activity based on existing accelerometer thresholds for moderate/vigorous, high-lig

148 A consensus on appropriate accelerometer thresholds for quantifying PA intensity an

149 M), in which the TMAFM cantilever acts as an accelerometer to extract tip-sample forces during imagin

150 Our device has thus made the transition from accelerometer to gravimeter.

151 When using accelerometers to measure physical activity, researchers

152 Preserved Ejection Fraction), average daily accelerometer units (ADAU) and hours active per day were

153 ivity per day during the 120-mg phase, daily accelerometer units during all three dose regimens, qual

154 ivity level, quantified as the average daily accelerometer units during the 120-mg phase, as assessed

155 s lower than that in the placebo group (-439 accelerometer units; 95% CI, -792 to -86; P=0.02).

156 cant trend toward lower daily activity (-381 accelerometer units; 95% confidence interval [CI], -780

157 Participants with higher accelerometer values were more likely to underreport the

158 asured by using indirect calorimetry, and an accelerometer was also used to determine physical activi

159 hysical activity (MVPA) episodes assessed by accelerometer was classified as "short" (1-9.59 minutes)

160 roughout each experimental condition, and an accelerometer was used to assess the subsequent 3-d peri

161 Using an apparatus comprised of an array of accelerometers, we mapped and analyzed spatial distribut

162 mean sedentary time was 11.9 hours/d (74% of accelerometer wear time).

163 with the use of a 3-d weighed food diary and accelerometer wear.

164 hysical activity levels measured by vertical accelerometer were associated with lower all-cause morta

165 sical activity levels measured by a vertical accelerometer were associated with significantly less av

166 Accelerometers were used to assess activity levels.

167 e 11 years was measured objectively using an accelerometer, worn for 1 week.