ライフサイエンスコーパス: accelerometry

1 ovel measure readily attainable from bedside accelerometry.

2 Tremor was measured by accelerometry.

3 outs), respectively, measured objectively by accelerometry.

4 75 persons aged >/=16 years in England using accelerometry.

5 Nine patients' tremors were recorded with accelerometry.

6 Relative gait speed was assessed with trunk accelerometry.

7 sical activity were measured with the use of accelerometry.

8 res of physical activity were ascertained by accelerometry.

9 ray absorptiometry, and physical activity by accelerometry.

10 tes, multiple-pass 24-h dietary recalls, 3-d accelerometry, 24-h respiration calorimetry, measurement

11 activity (MVPA) were derived from ActiGraph accelerometry (ActiGraph LLC, Pensacola, Florida), and r

12 MVPA and sedentary time were measured using accelerometry after reanalyzing raw data.

13 PA was measured with 5 d of accelerometry and expressed in min/d of moderate or vigo

14 ng bouts were ascertained through integrated accelerometry and global positioning system data and fro

15 We used combined accelerometry and heart rate with branched equation mode

16 and postural hand tremor were recorded using accelerometry and surface electromyography (EMG) from 10

17 were simultaneously measured with the use of accelerometry and the doubly labeled water method, respe

18 al activity (self-reported and measured with accelerometry) and diet were examined as potential corre

19 al activity (monitored continuously by using accelerometry) and resting energy expenditure (REE).

20 food intake, activity patterns (measured by accelerometry), and body composition (measured by dual-e

21 ometry, blood pressure, physical activity by accelerometry, and body composition by deuterium were me

22 PA was measured by using accelerometry, and body composition was measured by usin

23 PA was measured by accelerometry, and indicators of body fatness were the s

24 ysical activity was measured using 6 days of accelerometry, and percentage of body fat was calculated

25 l X-ray absorptiometry, physical activity by accelerometry, and pubertal timing by age at peak high v

26 f diet by 24-h recalls, physical activity by accelerometry, and risk factors for metabolic diseases b

27 moderate-to-vigorous physical activity using accelerometry, and screen time by average daily hours of

28 alcium intake, physical activity measured by accelerometry, and time spent viewing television and pla

29 The primary outcome was change in accelerometry assessed average daily step-counts between

30 between environmental factors and walking or accelerometry-assessed steps taken in trips.

31 This relationship suggests that accelerometry-based technologies such as mobile phones c

32 nce (ESS) and actual daytime sleep activity (accelerometry) correlated strongly with fatigue severity

33 MAIN OUTCOME MEASURES: Accelerometry counts of activity per day.

34 Accelerometry counts were highest in the affluent younge

35 Cross-sectional accelerometry data from 1,111 adults with radiographic k

36 -18 years) from the International Children's Accelerometry Database.

37 Daily PA [accelerometry-derived moderate and vigorous physical act

38 Tremor was assessed using accelerometry, digital spiral analysis, and a standard c

39 ision grip task; tremor was quantified using accelerometry during index finger extension.

40 To evaluate the use of accelerometry for measuring physical activity (PA) in pe

41 r, against physical activity, measured using accelerometry, for a large (n = 332) sample of adults li

42 Two 7-day assessments of accelerometry from 2005 to 2007 were collected 6 months

43 t Study participated in MVPA assessments via accelerometry from September 16, 1998, to December 9, 20

44 dietary records), and PA (measured with 7-d accelerometry) from 87 Latina and African American girls

45 Physical activity measures (accelerometry, health-related quality of life, and frail

46 d confirm the great potential for the use of accelerometry in studies of animal energetics.

47 ported, sedentary time was assessed by using accelerometry (<100 counts/min), and abdominal adiposity

48 Penetrometry and accelerometry measurements during the probe impact event

49 essed objectively by combined heart rate and accelerometry monitor (Actiheart).

50 rticipating in the Osteoarthritis Initiative accelerometry monitoring ancillary study were assessed f

51 ere particularly inactive based on objective accelerometry monitoring.

52 jective sleep assessment was performed using accelerometry over 7 days.

53 Cortical coherence with the accelerometry signal was also calculated in the absence

54 tural (P2) upper limb tremor was detected by accelerometry/spectral analysis above which tremor was a

55 s are supported by exercise intervention and accelerometry studies reporting positive correlations be

56 ration, and radio tracking) collar that used accelerometry to continuously monitor energetics, moveme

57 the wide usage of smartphones with built-in accelerometry to measure physical activity at the global

58 Tremor accelerometry was shown to be coherent with the cortical

59 t-form health survey] and daily step counts [accelerometry]) were compared to norm-based or healthy c