
This device determines body composition by measuring bioelectrical impedance across multiple frequencies. The system uses a four‑electrode configuration to separate extracellular and intracellular
Inquire NowThis device determines body composition by measuring bioelectrical impedance across multiple frequencies. The system uses a four‑electrode configuration to separate extracellular and intracellular water contributions, providing segmental fat and lean mass estimates.
Measurement accuracy depends on electrode placement, subject hydration status, and the algorithm’s regression coefficients calibrated against dual‑energy X‑ray absorptiometry (DXA) reference data. Typical repeatability (coefficient of variation) is under 1.5% for total body fat percentage in controlled laboratory conditions.
| Parameter | Value / Range |
|---|---|
| Measurement method | Multi‑frequency bioelectrical impedance analysis (1 kHz, 5 kHz, 50 kHz, 250 kHz) |
| Electrode type | Surface‑mount Ag/AgCl, reusable, 30 mm diameter |
| Input current | ≤ 0.8 mA rms, sinusoidal, IEC 60601‑2‑27 compliant |
| Voltage resolution | 0.1 mV (24‑bit ADC) |
| Output metrics | Total body fat %, visceral fat rating, segmental lean mass (arms, legs, trunk), basal metabolic rate estimate |
| Operating temperature | 10 °C – 40 °C |
| Power supply | External DC adapter, 12 V / 2 A, IEC 60950‑1 certified |
| Data interface | USB‑C (device) and Bluetooth 5.0 (LE) for wireless transfer |
| Enclosure material | ABS‑PC blend, UL‑94 V‑0, IP40 rating |
Fitness centers use the device to track members’ progress over training cycles, providing objective data for personalized program adjustments.
Clinical nutrition labs rely on its segmental output to assess edema distribution in patients undergoing dialysis or intensive care.
Corporate wellness programs integrate the machine into annual health screenings, enabling longitudinal trend analysis across employee populations.
Each unit undergoes a four‑point impedance verification traceable to a calibrated precision resistor network.
Firmware is subjected to regression testing against a dataset of 5,000 DXA‑matched subjects to confirm bias < 0.5 % fat percentage.