The most advanced software for evaluating body composition in professional settings is today even more powerful, flexible and complete.

Updated, boosted, flexible. BODYGRAM™ guarantees accurate, reliable and clinically significant results in the field of body composition. BODYGRAM™ puts the wealth of AKERN’s know-how and progress in your hands. BODYGRAM™ software is the most eloquent expression of AKERN’s scientific progress and know-how in the world of bioimpedance.

Akern know-how

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    Algorithms based on subject’s real hydration increase the accuracy of Fat Mass and Fat-Free Mass estimates.

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    Direct qualitative analysis of tissue through the BIVA vector technique and Biavector nomogram.

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    Predictive formulas and specific reference values for the paediatric, adult and geriatric populations.

Functions included


BIAVECTOR™ nomogram

With the Biavector™ nomogram, AKERN was the first manufacturer to use BIVA (Bioelectrical Impedance Vector Analysis) in its systems. Biavector™ offers clinicians an immediate interpretative diagram of the subject’s body composition, with particular regard to hydration and nutritional status. Based exclusively on the electrical properties of tissue, the data provided by Biavector™ is not influenced by body mass and volume prediction errors linked to the application of prediction equations associated with anthropometric parameters.



Hydragram™ provides the patient’s real hydration values, namely the percentage content of fluid in Fat-Free Mass. The percent values correlate with the vector position on the Biavector™ nomogram and follow its movement along the major axis. Classification describes the subject as Normohydrated, Hyperhydrated or Dehydrated (Moore et al 1). Hydragram™ scale is increasingly used in conjunction with other specific diagnostic biomarkers like BNP, ProBNP, nGAL3 to monitor hydration status in clinical settings, as well as in sports and nutrition 2, 3, 4.



Nutrigram™ provides urinary creatinine excretion estimation (Ucr/24h) derived from BCM values. Creatinine is an indirect product of muscle cells, secreted by the kidneys. The amount of creatinine secreted in 24h is thus used as a parameter to establish the subject’s body cell mass. The values correlate with the vector position on the Biavector™ nomogram and follow its movement along the minor axis. This parameter is particularly useful for managing patients at high risk of malnutrition who require an individualised nutritional treatment 5, 6.


Fat-Free Mass Index (FFMI) and Fat Mass Index (FMI): the software allows evaluation of nutritional status over time through use of the percentile curves for FMI and FFMI for Caucasian subjects aged 18 to 98 years.

Skeletal Muscle Index (SMI): index for a quantitative evaluation of muscle mass. Defined by SM calculated using the equation given by Janssen et 2000.

Appendicular Skeletal Muscle Mass (ASMM): the value in Kg of the muscle mass of limbs calculated using the equation given by Sergi et al. This parameter is indicated by the EWGSOP Guidelines for confirming diagnosis of sarcopenia.

Muscle Quality Index (MQI): index for a qualitative evaluation of muscle mass. It expresses muscle quality by comparing muscle strength measured with a dynamometer with the quantity of muscle mass of the body.

Standardized Phase Angle (SPA): phase angle standardised for sex and age. Referencing the normal population, this parameter expresses the relationship between the mean phase angle value in subjects of a specific age group and gender, and its standard deviation.



Collection of anthropometric data is particularly important for monitoring the localisation of fat deposits and highlighting a predisposition to develop cardio-metabolic diseases. BODYGRAM™ provides a simple method for collection of anthropometric data and evaluation of analyses carried out.


BODYGRAM™ combines the calculation of daily energy expenditure with the physical activity level (PAL) and the energy expenditure induced by physical activities and sports: users are able to set a clear weight loss program based on estimated actual energy requirement, modulate daily calorie intake and modify the duration of the diet program and the amount of weight to be lost.

New features

New features

The latest version of BODYGRAM™ offers even more advanced performance to transfer the wealth of knowledge and progress of AKERN into your hands.

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    Unlimited access to tests, anywhere

    BODYGRAM™ can be accessed from any type of device and is compatible with the most widely-used operating systems including MacOS, iOS, Windows, Android for desktop, smartphone or tablet.

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    Online and offline operating modes

    BODYGRAM™ offers two different operating modes: online via a dedicated server-based platform, and offline using the desktop application (for Windows and MacOS).

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    Automatic database import

    BODYGRAM™ automatically imports the database from previous versions without any loss of data.

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    Complete structure

    BODYGRAM™ combines all the functions included in the add-on modules of the previous analysis software in a single application.

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    Scientific updates

    BODYGRAM™ is constantly updated, ensuring professionals can count on an analysis software always in step with the latest advances in clinical research.

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    GDPR Compliance

    BODYGRAM™ manages patients’ personal and sensitive data in compliance with Reg. (EU) 2016/679 GDPR.

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    Personalised reporting

    BODYGRAM™ Manage your BIA analysis creating customized test printouts for any type of patients

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    Back-up and storage

    BODYGRAM™ includes a cloud-based automatic backup system and a data recovery function.


Bibliographical references:
  1. Basso, Flavio, et al. "Fluid management in the intensive care unit: bioelectrical impedance vector analysis as a tool to assess hydration status and optimal fluid balance in critically ill patients." Blood purification 36.3-4 (2013): 192-199.
  2. Maioli, Mauro, et al. "Pre-procedural bioimpedance vectorial analysis of fluid status and prediction of contrast-induced acute kidney injury." Journal of the American College of Cardiology 63.14 (2014): 1387-1394.
  3. Massari, Francesco, et al. "Multiparametric approach to congestion for predicting long-term survival in heart failure." Journal of Cardiology 75.1 (2020): 47-52.
  4. Moore, Francis D., and Caryl Magnus Boyden. “Body cell mass and limits of hydration of the fat free body: Their relation to estimated skeletal weight.” Annals of the New York Academy of Sciences 110.1 (1963): 62-71.
  5. Marini, Elisabetta, et al. "Phase angle and bioelectrical impedance vector analysis in the evaluation of body composition in athletes." Clinical Nutrition 39.2 (2020): 447-454.
  6. Valle, Roberto, et al. “Optimizing fluid management in patients with acute decompensated heart failure (ADHF): the emerging role of combined measurement of body hydration status and brain natriuretic peptide (BNP) levels.” Heart failure reviews 16.6 (2011): 519-529.
  7. Massari, Francesco, et al. “Bioimpedance vector analysis predicts hospital length of stay in acute heart failure.” Nutrition 61 (2019): 56-60.
  8. Maioli, Mauro, et al. “Bioimpedance-guided hydration for the prevention of contrast-induced kidney injury: the HYDRA study.” Journal of the American College of Cardiology 71.25 (2018): 2880-2889.
  9. Cereda, Emanuele, et al. "Validation of a new prognostic body composition parameter in cancer patients." Clinical Nutrition (2020).
  10. Janssen, Ian, et al. “Estimation of skeletal muscle mass by bioelectrical impedance analysis.” Journal of applied physiology 89.2 (2000): 465-471.
  11. Sergi, Giuseppe, et al. “Assessing appendicular skeletal muscle mass with bioelectrical impedance analysis in free-living Caucasian older adults.” Clinical nutrition 34.4 (2015): 667-673.
  12. Cruz-Jentoft, Alfonso J., et al. "Writing Group for the European Working Group on Sarcopenia in Older People 2 (EWGSOP2), and the Extended Group for EWGSOP2. Sarcopenia: revised European consensus on definition and diagnosis." Age Ageing 48.1 (2019): 16-31.
  13. Paiva, Silvana Iturriet, et al. "Standardized phase angle from bioelectrical impedance analysis as prognostic factor for survival in patients with cancer." Supportive Care in Cancer 19.2 (2011): 187-192.

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