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Introduction Early detection of breast cancer saves lives. Existing detecting techniques are invasive. Electrical bioimpedance is a noninvasive technique and has a high diagnostic potential. Methods An impedance value different from the normal can predict a physiological abnormality. The idea is to use a designed bioimpedance device to early detect breast cancer. A low-frequency current (1 kHz, 0.9 mA) is injected to each breast to measure the extracellular resistances. The resistances of the two breasts are then measured, and if there is a significant difference, warning is displayed. The performance was tested on a set of reference resistors, and the validation was done in vitro on (Na+Cl-) solutions and in vivo on a group of forty volunteer women. Results The results confirm that the electrical conductivity of an ionic solution is proportional to its concentration. The concentration and the resistance are strongly correlated (correlation coefficient of 0.97). The accuracy and the repeatability of the measures were satisfactory. Early detection means that we can detect small extracellular concentration variations into the breast (from 0.6 g/l). In vivo measurements made it possible to set the threshold at 50 ohm. If the difference between the two measured breast resistances is greater than this threshold, we advise the patient to consult a doctor promptly. Conclusion The difference between measured resistances of the right and left breast is a pertinent parameter to early detect the presence of a cancer. The lowest resistance value (RR or RL) can provide information on the breast affected by the cancer (right or left). Various improvements in the system are possible but already the results are encouraging. In the future, this system could be integrated into a bra.

The determination of blood glucose is usually performed in the laboratory or using invasive glucose meters. Unusual, fruity, or bad breath odor can be a sign of metabolic disease. The objective is the estimation of the blood glucose by breath analysis. To do that, we designed a three‐gas prediction model (alcohol, acetone, and propane). We exhaled in front of the three gas sensors and then recorded the concentrations of the three volatile organic compounds (VOCs) in a database. This database included the measurements of 200 volunteer people. We then systematically studied the correlation between the glucose level obtained by blood analysis and each of these three gases. We also studied the different possible combinations of two and three gases. The best correlation was obtained for the non‐diabetic subjects with a correlation coefficient (r = 0.97), for the diabetic subjects (r = 0.35). We implemented these two linear regressions and we used the validation set to estimate the accuracy of the prototype. For the non‐diabetic subjects, the relative error of the measurement of the glycemia was equal to 3.93%. For the diabetic subjects, the error = 13.42%. The results have shown that the determination of glycemia by breath analysis can become a serious alternative. © 2020 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

The objective of this work is to perform automatic diagnosis using a non invasive method which consists on the bioimpedance signal processing. Bioimpedance signal (BIS) represents the aorta impedance variation during the heart cycle activity. BIS is detected by mean of two electrodes located at the level of the ascendant aorta. Automatic diagnosis method consists on preparing, first, a data base with a set of cepstral parameters of different BIS according to normal case and different cardiac diseases. This data base is composed from n classes Yk corresponding to n diseases. The classification of anonymous individuals is based on the determination of Fisher distance between anonymous disease and class Yk using Fischer formula. Our method permits to calculate seven relevant cepstral parameters. The application of Fisher method has allowed us to perform the diagnosis of five anonymous cases. The major interest of this method is its especially useful for the exploration of cardiovascular system anomalies for emergency cases, children, elderly and pregnant women who can't support surgical operations especially at the level of the heart.

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