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1              This study defined cellular and bioelectrical abnormalities in patients with CUNV, inclu
2                                              Bioelectrical activity from face and scalp electrodes wa
3                      The spatial response of bioelectrical activity in the small intestine to pacing
4 nts of cirri dynamics to the cell's membrane bioelectrical activity, revealing a differential respons
5 contractions are controlled by an underlying bioelectrical activity.
6 g signals, while dispersed cells showed weak bioelectrical activity.
7 imens obtained by biopsy forceps for ex vivo bioelectrical and biochemical laboratory analyses; and i
8 phene sensors, which uniquely converges both bioelectrical and biomechanical sensing functionalities
9 ce suggests that biophysical, molecular, and bioelectrical asymmetries exist much earlier in developm
10 an integrated summary of the biophysical and bioelectrical bases of this approach is lacking.
11   The purpose of this paper is to review the bioelectrical behavior of DRG neurons, signaling complex
12 s, various sensory neuron models, assays for bioelectrical behavior, and emerging efforts to leverage
13  any age, yielding viable specimens for CFTR bioelectrical/biochemical analyses.
14                      By applying well direct bioelectrical contacts with cancer cells, SiNWs can dete
15 or uncovering how molecular, mechanical, and bioelectrical cues integrate to orchestrate complex tiss
16 ks, cell behavior is regulated by endogenous bioelectrical cues originating in the activity of ion ch
17 ators (GEVIs) are powerful tools for mapping bioelectrical dynamics in cell culture and in live anima
18                                          The bioelectrical dynamics were well described by a noisy sa
19                           These chemical and bioelectrical effects are prevented by pretreatment with
20                                          The bioelectrical environment of the B. subtilis was found t
21 nstrated little success in correcting the CF bioelectrical functional defect, reflecting the ineffici
22        It has long been recognized that slow bioelectrical gradients can control cell behaviors and m
23 m anthropometry (ages 4, 6, and 8 years) and bioelectrical impedance (ages 6 and 8 years).
24                            The usefulness of bioelectrical impedance (BI) with anthropometry to measu
25 easured anthropometry, body composition with bioelectrical impedance (with population-specific isotop
26                                           If bioelectrical impedance accurately determines body compo
27         Duplicate laboratory-grade octapolar bioelectrical impedance analysis (8-BIA) and criterion D
28       There is little information on whether bioelectrical impedance analysis (BIA) accurately predic
29 MI), and body fat percentage estimated using bioelectrical impedance analysis (BIA) and dual x-ray ab
30 tion, such as the assessment of ALST through bioelectrical impedance analysis (BIA) and the determina
31                               The whole-body bioelectrical impedance analysis (BIA) approach for esti
32   Dual-energy X-ray absorptiometry (DXA) and bioelectrical impedance analysis (BIA) are currently use
33                         The phase angle from bioelectrical impedance analysis (BIA) can be interprete
34 btaining accurate, precise, and reproducible bioelectrical impedance analysis (BIA) data.
35                         The fatness-specific bioelectrical impedance analysis (BIA) equations of Sega
36                      I review the utility of bioelectrical impedance analysis (BIA) for assessing cha
37 enation (ECMO), but research on the value of bioelectrical impedance analysis (BIA) for such patients
38                                              Bioelectrical impedance analysis (BIA) has potential in
39 measurements through use of single-frequency bioelectrical impedance analysis (BIA) in 332 subjects,
40 ions that influenced the decision to include bioelectrical impedance analysis (BIA) in a national nut
41                                              Bioelectrical impedance analysis (BIA) is a promising to
42                                              Bioelectrical impedance analysis (BIA) is an attractive
43                                              Bioelectrical impedance analysis (BIA) is used to analyz
44 gh its association with fat-free mass (FFM), bioelectrical impedance analysis (BIA) offers an alterna
45 tudy evaluated smart watches with integrated bioelectrical impedance analysis (BIA) sensors for their
46 y the utility of handgrip strength (HGS) and bioelectrical impedance analysis (BIA) to detect sarcope
47 ased on triceps skinfold thickness (TSF) and bioelectrical impedance analysis (BIA) to estimate chang
48                                              Bioelectrical impedance analysis (BIA) variables and sel
49 tiometry (DXA), skinfold thicknesses (SFTs), bioelectrical impedance analysis (BIA), and body mass in
50 y fat was estimated from skinfold thickness, bioelectrical impedance analysis (BIA), and dual-energy
51 al examination, anthropometric measurements, bioelectrical impedance analysis (BIA), and laboratory t
52                   Phase angle, determined by bioelectrical impedance analysis (BIA), detects changes
53 ed techniques, hydrostatic weighing (HW) and bioelectrical impedance analysis (BIA), in adults.
54                    It was our purpose, using bioelectrical impedance analysis (BIA), to measure total
55 t, such as dual-energy X-ray absorptiometry, bioelectrical impedance analysis (BIA), total body potas
56 pants were recruited to gather data on their bioelectrical impedance analysis (BIA), whole-body infra
57 using the Durnin-Womersley formula (DWF) and bioelectrical impedance analysis (BIA).
58 and fat mass were estimated by monofrequency bioelectrical impedance analysis (BIA).
59 aim of this study was to evaluate leg-to-leg bioelectrical impedance analysis (LBIA) using a four-con
60 e body composition measures using 2 wearable bioelectrical impedance analysis (W-BIA) model smart wat
61 ds of body composition assessment, including bioelectrical impedance analysis and 3-dimensional optic
62           We examined body composition using bioelectrical impedance analysis and isotope dilution (1
63               Key terms in the derivation of bioelectrical impedance analysis are described and the r
64               Body mass index percentile and bioelectrical impedance analysis assessed adiposity.
65 nd and had a body-composition measurement by bioelectrical impedance analysis at the Geneva Universit
66  uterus and at least one ovary who completed bioelectrical impedance analysis for assessment of body
67 ient of the validation cohort also underwent bioelectrical impedance analysis for the calculation of
68                          Lung ultrasound and bioelectrical impedance analysis have a sound scientific
69 n biochemical and physiological status using bioelectrical impedance analysis in 128 gastrointestinal
70 lts of body composition studies performed by bioelectrical impedance analysis in 1415 adults from 2 c
71 s determined by using skinfold-thickness and bioelectrical impedance analysis measurements along with
72                               Multifrequency bioelectrical impedance analysis measurements can be use
73 l features needed to critically evaluate the bioelectrical impedance analysis method.
74 estimated with the use of a single-frequency bioelectrical impedance analysis system.
75              Of these adults, 9166 underwent bioelectrical impedance analysis to assess body fat (BF)
76 position was performed in all patients using bioelectrical impedance analysis to quantify fat mass in
77                                              Bioelectrical impedance analysis was the least acceptabl
78            A deuterium dilution technique or bioelectrical impedance analysis was used to estimate FF
79 traction force and fat-free mass assessed by bioelectrical impedance analysis were measured.
80 n concentrations and body compositions (with bioelectrical impedance analysis) measured.
81 /m(2) in males and < 5.7 kg/m(2) in females (bioelectrical impedance analysis).
82 ed using dual energy X-ray absorptiometry or bioelectrical impedance analysis, adjusted for sex, age,
83 ry, underwater weighing, deuterium dilution, bioelectrical impedance analysis, and anthropometry were
84 etry of carotid femoral pulse wave velocity, bioelectrical impedance analysis, and cardio ankle vascu
85 ssessment, handgrip strength, multifrequency bioelectrical impedance analysis, and REE measurements w
86 n by dual-energy X-ray absorptiometry (DXA), bioelectrical impedance analysis, and skinfold-thickness
87 pometric measurements, body composition from Bioelectrical Impedance Analysis, blood pressure, concen
88              The techniques studied included bioelectrical impedance analysis, dual-energy X-ray abso
89  Each underwent anthropometric measurements, bioelectrical impedance analysis, dual-energy X-ray abso
90 fat free mass ratio (FM:FFM), measured using Bioelectrical Impedance Analysis, from ages 7 years to 1
91 he relation of body composition, measured by bioelectrical impedance analysis, to total mortality.
92 quality (via phase angle) was assessed using bioelectrical impedance analysis.
93  session with corresponding pre- and post-HD bioelectrical impedance analysis.
94 (men) and >/=8.2 (women) measured by using a bioelectrical impedance analysis.
95       Fat mass was estimated with the use of bioelectrical impedance analysis.
96 icknesses, isotope dilution (H(2)(18)O), and bioelectrical impedance analysis.
97           Body composition was determined by bioelectrical impedance analysis.
98  response of fat-free mass (FFM) measured by bioelectrical impedance analysis.
99 ; percentage of body fat was estimated using bioelectrical impedance analysis.
100 d to provide a new possibility of a wearable bioelectrical impedance analyzer, toward obesity managem
101  used rather than the values reported by the bioelectrical impedance analyzer.
102                               Six commercial bioelectrical impedance analyzers were evaluated to dete
103   The UK Biobank is a rare resource in which bioelectrical impedance and BMI data was collected on ~
104  and body cell mass) was determined by using bioelectrical impedance and resting metabolic activity (
105 diposity were derived from anthropometry and bioelectrical impedance data at baseline and anthropomet
106                                     However, bioelectrical impedance equations do not yield more accu
107                                  Measures of bioelectrical impedance for body fat, reproductive hormo
108                                              Bioelectrical impedance is a promising technique for the
109 Fat mass and fat-free mass measurements from bioelectrical impedance may further clarify this associa
110                                              Bioelectrical impedance may lack the precision to detect
111 adiposity outcomes (skinfold thicknesses and bioelectrical impedance measurement of body fat) at age
112                                        Using bioelectrical impedance measurements (UK Biobank cohort)
113 tments after absorption, it is expected that bioelectrical impedance measurements may correlate with
114 al subcutaneous and visceral adipose depots, bioelectrical impedance measurements of body fat mass, a
115 sing a combination of skinfold thickness and bioelectrical impedance measurements, with a prediction
116                           Anthropometric and bioelectrical impedance measures were obtained from 4,27
117                          Although use of the bioelectrical impedance method for the indirect assessme
118              The practical advantages of the bioelectrical impedance method necessitate concerted res
119 ical factors that affect the validity of the bioelectrical impedance method.
120 le to a wide variety of patient populations, bioelectrical impedance offers no advantage over standar
121                 Childhood anthropometric and bioelectrical impedance outcomes included body mass inde
122                                              Bioelectrical impedance spectroscopy (BIS) may provide a
123 ic regression with body mass index (BMI) and bioelectrical impedance spectroscopy (BIS)-derived estim
124 rch setting, measuring body composition with bioelectrical impedance spectroscopy enabled the estimat
125 d based on height-weight models derived from bioelectrical impedance studies.
126                                 Although the bioelectrical impedance technique is widely used in huma
127                                              Bioelectrical impedance techniques are easy to use and p
128             These results support the use of bioelectrical impedance to determine body cell mass in h
129 ionale, methods, and existing data for using bioelectrical impedance to determine drug pharmacokineti
130    At each visit, height, weight, and %BF by bioelectrical impedance were measured.
131     The purpose of this study was to compare bioelectrical impedance with metabolic activity in healt
132 ion (fat mass and fat-free mass, assessed by bioelectrical impedance) and self-reported, mobility-rel
133 m), and anthropometric and body composition (bioelectrical impedance) measurements were also made.
134  The best formulas use skinfold thicknesses, bioelectrical impedance, and a 4-compartment model.
135 l-energy X-ray absorptiometry, body density, bioelectrical impedance, and total body water, and 4-com
136  skeletal muscle deficits: muscle mass using bioelectrical impedance, quadriceps, respiratory muscle
137  (densitometry), isotope dilution (H(2)18O), bioelectrical impedance, skinfold thicknesses, corporal
138 ody composition at age 3 y was made based on bioelectrical impedance, weight, and height.
139 n equations additionally validated using the bioelectrical impedance-based FM in the ARIC subgroup.
140        The correlation between predicted and bioelectrical impedance-based FM was high (R(2)=0.90; n=
141                               Application of bioelectrical impedance-derived equations to a different
142 waist circumference, waist-to-hip ratio, and bioelectrical impedance-derived measures of fat mass, le
143 and skeletal muscle mass was estimated using bioelectrical impedance.
144 ercentage body fat at 2 y of age measured by bioelectrical impedance.
145           Body composition was assessed with bioelectrical impedance.
146 rait with a threshold of 40%) as assessed by bioelectrical impedance.
147 ctions, (ii) hydrogels' unique advantages in bioelectrical interfacing with the human body, (iii) the
148 sociated with two or more anthropometric and bioelectrical measures of high nutritional status.
149 sociated with two or more anthropometric and bioelectrical measures of low nutritional status; and 3)
150 rsing home residents with anthropometric and bioelectrical measures of lower and higher nutritional s
151 y correlated with all the anthropometric and bioelectrical measures of nutritional status in women, a
152 s index (BMI)] with other anthropometric and bioelectrical measures of nutritional status, not availa
153  the first detailed mechanistic synthesis of bioelectrical, molecular and cell-biological events unde
154 gap junctions are gated posttranslationally, bioelectrical networks have their own characteristic dyn
155                                        These bioelectrical networks process morphogenetic information
156 e anatomical semantics encoded in non-neural bioelectrical networks, and of improved biophysical tool
157  of how patterning information is encoded in bioelectrical networks, which may require concepts from
158 ritten by a brief perturbation of endogenous bioelectrical networks.
159 cated wearable LAMBA sensors that can detect bioelectrical or biomechanical signals.
160 Ussing chambers to determine transepithelial bioelectrical parameters and Na(+), K(+), and Cl(-) flux
161  that this hybrid Ccm system can enhance the bioelectrical performance of the cyt c expressing E. col
162  cell potential to transcription, short-term bioelectrical perturbations can trigger long-term bioche
163 his limitation for FeRIC, and we studied the bioelectrical properties of neurons expressing TRPV4 (no
164 d moderate, but effective in controlling the bioelectrical properties of neurons.
165          Beta dispersion as one of intrinsic bioelectrical properties of the cell membrane in blockin
166 gely asynchronous development of single-cell bioelectrical properties produces a stereotyped and robu
167 ties across the biogenic, biomechanical, and bioelectrical properties simultaneously.
168              We model the non-excitable cell bioelectrical representation of the external environment
169 s and calf skinfold-thickness measurements), bioelectrical resistance (BR; with the Kushner el al equ
170 ion that facilitate the determination of the bioelectrical response mode of higher plants under stres
171  biocompatibility, mechanical properties and bioelectrical sensing/stimulation capabilities have been
172                        Finally, we show that bioelectrical signal propagation within the developing n
173 als and living tissues present challenges at bioelectrical signal transduction interfaces.
174 ents in vivo have identified novel roles for bioelectrical signaling and revealed the molecular pathw
175 els (NaVs), obligatory membrane proteins for bioelectrical signaling, has been linked to a number of
176 xitoxin (STX) and ~50 congeners that disrupt bioelectrical signals by blocking voltage-gated sodium c
177 t our SiNAPS CMOS-probe can sample full-band bioelectrical signals from each electrode, with the abil
178                 Recording intracellular (IC) bioelectrical signals is central to understanding the fu
179  simple algebraic summation of the resultant bioelectrical signals that coincide in time.
180 alth records and datasets of medical images, bioelectrical signals, and sequences and structures of g
181 ns to achieve long-term optical recording of bioelectrical signals.
182  number of neighboring cells and learn their bioelectrical state from the downward-induced membrane p
183 e a previously unreported connection between bioelectrical status and the spatial control of patterni
184 cemic, antibacterial, anti-inflammatory, and bioelectrical stimulation.
185                                           In bioelectrical systems the CDs-fed cells increase the max
186 directional, continuous, and relatively slow bioelectrical systems, complementing conventional neural

 
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