Comparing the accuracy of ES-BC, EIS-GS, and ES Oxi on body composition, autonomic nervous system activity, and cardiac output to standardized assessments.

IF 1.3 Q4 ENGINEERING, BIOMEDICAL Medical Devices-Evidence and Research Pub Date : 2011-01-01 Epub Date: 2011-09-16 DOI:10.2147/MDER.S24291
John E Lewis, Stacey L Tannenbaum, Jinrun Gao, Angelica B Melillo, Evan G Long, Yaima Alonso, Janet Konefal, Judi M Woolger, Susanna Leonard, Prabjot K Singh, Lawrence Chen, Eduard Tiozzo
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引用次数: 11

Abstract

Background and purpose: THE ELECTRO SENSOR COMPLEX (ESC) IS SOFTWARE THAT COMBINES THREE DEVICES USING BIOELECTRICAL IMPEDANCE, GALVANIC SKIN RESPONSE, AND SPECTROPHOTOMETRY: (1) ES-BC (Electro Sensor-Body Composition; LD Technology, Miami, FL) to assess body composition, (2) EIS-GS (Electro Interstitial Scan-Galvanic Skin; LD Technology) to predict autonomic nervous system activity, and (3) ES Oxi (Electro Sensor Oxi; LD Technology) to assess cardiac output. The objective of this study was to compare each to a standardized assessment: ES-BC to dual-energy X-ray absorptiometry (DXA), EIS-GS to heart rate variability, and ES Oxi to BioZ Dx Diagnostic System (BioZ Dx; SonoSite Inc, Bothell, WA).

Patients and methods: The study was conducted in two waves. Fifty subjects were assessed for body composition and autonomic nervous system activity. Fifty-one subjects were assessed for cardiac output.

Results: We found adequate relative and absolute agreement between ES-BC and DXA for fat mass (r = 0.97, P < 0.001) with ES-BC overestimating fat mass by 0.1 kg and for body fat percentage (r = 0.92, P < 0.001) with overestimation of fat percentage by 0.4%. For autonomic nervous system activity, we found marginal relative agreement between EIS-GS and heart rate variability by using EIS-GS as the predictor in a linear regression equation (adjusted R(2) = 0.56, P = 0.03). For cardiac output, adequate relative and absolute agreement was found between ES Oxi and BioZ Dx at baseline (r = 0.60, P < 0.001), after the first exercise stage (r = 0.79, P < 0.001), and after the second exercise stage (r = 0.86, P < 0.001). Absolute agreement was found at baseline and after both bouts of exercise; ES Oxi overestimated baseline and stage 1 exercise cardiac output by 0.3 L/minute and 0.1 L/minute, respectively, but exactly estimated stage 2 exercise cardiac output.

Conclusion: ES-BC and ES Oxi accurately assessed body composition and cardiac output compared to standardized instruments, whereas EIS-GS showed marginal predictive ability for autonomic nervous system activity. The ESC software managing the three devices would be useful to help detect complications related to metabolic syndrome, diabetes, and cardiovascular disease and to noninvasively and rapidly manage treatment follow-up.

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比较ES- bc、EIS-GS和ES- Oxi在身体成分、自主神经系统活动和心输出量方面的准确性。
背景和目的:电子传感器复合物(ESC)是一种软件,它结合了三种使用生物电阻抗,皮肤电反应和分光光度法的设备:(1)ES-BC(电子传感器-身体成分;LD Technology, Miami, FL)评估身体成分;(2)EIS-GS(电间质扫描-电皮肤;(3) ES Oxi (Electro Sensor Oxi);LD技术)评估心输出量。本研究的目的是比较每个标准化评估:ES- bc与双能x射线吸收仪(DXA), EIS-GS与心率变异性,ES Oxi与BioZ Dx诊断系统(BioZ Dx;SonoSite Inc, Bothell, WA)。患者和方法:本研究分两波进行。对50名受试者的身体成分和自主神经系统活动进行了评估。评估了51名受试者的心输出量。结果:我们发现ES-BC和DXA在脂肪质量(r = 0.97, P < 0.001)和体脂率(r = 0.92, P < 0.001)上有足够的相对和绝对一致,ES-BC高估了脂肪质量0.1 kg,体脂率高估了0.4%。对于自主神经系统活动,我们使用EIS-GS作为线性回归方程的预测因子,发现EIS-GS与心率变异性之间存在边际相对一致(调整后的R(2) = 0.56, P = 0.03)。对于心输出量,ES Oxi和BioZ Dx在基线时(r = 0.60, P < 0.001)、第一运动阶段后(r = 0.79, P < 0.001)和第二运动阶段后(r = 0.86, P < 0.001)的相对和绝对一致。在基线和两次运动后发现了绝对的一致;ES Oxi分别高估了基线和第一阶段运动心输出量0.3 L/分钟和0.1 L/分钟,但准确估计了第二阶段运动心输出量。结论:与标准化仪器相比,ES- bc和ES- Oxi能准确评估身体成分和心输出量,而EIS-GS对自主神经系统活动的预测能力有限。管理这三种设备的ESC软件将有助于检测与代谢综合征、糖尿病和心血管疾病相关的并发症,并对治疗随访进行无创和快速管理。
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来源期刊
Medical Devices-Evidence and Research
Medical Devices-Evidence and Research ENGINEERING, BIOMEDICAL-
CiteScore
2.80
自引率
0.00%
发文量
41
审稿时长
16 weeks
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