title: Smart Multi-Frequency Bioelectrical Impedance Spectrometer for BIA and BIVA Applications.
abstract: Bioelectrical impedance analysis (BIA) is a noninvasive and commonly used method for the assessment of body composition including body water. We designed a small, portable and wireless multi-frequency impedance spectrometer based on the 12 bit impedance network analyzer AD5933 and a precision wide-band constant current source for tetrapolar whole body impedance measurements. The impedance spectrometer communicates via Bluetooth with mobile devices (smart phone or tablet computer) that provide user interface for patient management and data visualization. The export of patient measurement results into a clinical research database facilitates the aggregation of bioelectrical impedance analysis and biolectrical impedance vector analysis (BIVA) data across multiple subjects and/or studies. The performance of the spectrometer was evaluated using a passive tissue equivalent circuit model as well as a comparison of body composition changes assessed with bioelectrical impedance and dual-energy X-ray absorptiometry (DXA) in healthy volunteers. Our results show an absolute error of 1% for resistance and 5% for reactance measurements in the frequency range of 3 kHz to 150 kHz. A linear regression of BIA and DXA fat mass estimations showed a strong correlation (r(2)=0.985) between measures with a maximum absolute error of 6.5%. The simplicity of BIA measurements, a cost effective design and the simple visual representation of impedance data enables patients to compare and determine body composition during the time course of a specific treatment plan in a clinical or home environment.
authors: Rene
authors: R
authors: Harder
authors: Andre
authors: A
authors: Diedrich
authors: Jonathan S
authors: JS
authors: Whitfield
authors: Macie S
authors: MS
authors: Buchowski
authors: John B
authors: JB
authors: Pietsch
authors: Franz J
authors: FJ
authors: Baudenbacher
mesh_terms: D015502:Absorptiometry, Photon; D000328:Adult; D000368:Aged; D001823:Body Composition / Q000502:physiology*; D001827:Body Height; D001835:Body Weight; D040421:Cell Phone; D058266:Dielectric Spectroscopy / Q000295:instrumentation / Q000379:methods*; D005260:Female; D006801:Humans; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D059015:Wireless Technology