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Biomedical subjects

Weifang Zhu

Publications and source records attributed to Weifang Zhu.

2 recordsLinked to original sources

Investigation on liver function among population in high background of rare earth area in South China.

The health effects of long-term ingestion of rare earth elements (REEs) on the villagers living in high-REE-background areas in South Jangxi Province, China were studied. Major health complaints from the REE area population included indigestion, diarrhea, abdominal distension, anorexia, weakness, and fatigue, especially after high-fat or high-protein intake. Liver function tests were conducted for adult villagers. Among them, 45 live in a heavy rare earth (HREE) area, 62 in a light rare earth (LREE) area, and 49 in the control area. Test results showed that serum total protein and globulin from both HREE and LREE areas, as well as albumin from the LREE area, were significantly lower (p < 0.01 - 0.01) compared to the results from the control area, whereas albumin from the HREE area showed no significant variance (p > 0.05). The chi-square test showed that Serum-glutamic pyruvic transaminase (SGPT) in both areas were not significant (p > 0.05), whereas the IgM in the HREE area was significantly elevated. It is our conclusion that long-term ingestion of REE affected activities of some digestive enzymes, causing malabsorption and indigestion, and might further lead to a low-protein effect for the villagers in the LREE area. However, the damage to the liver was rather mild. The elevation of IgM was probably the result of stimulation induced by the formation of a large amount of granules as a result of direct binding of REEs to globulin or albumin (combination of REEs with globulin or albumin).

Adult↗

[A new ST segment analysis scheme for Holter system].

A new ST segment analysis scheme is developed for helping the doctors to browse the electrocardiogram (ECG) signals rapidly and then give a correct diagnosis. The preprocessing consists of baseline wander attenuation using median filter, high frequency noise rejection using order statistic filter, and then QRS complexes detection using wavelet analysis. In this paper, after the beginnings and the ends of the ST segments are mutually chosen by doctor, we compute the total deviations between ST segments and the modified baselines using mean value, and then plot the whole trend of the deviations. Doctors can browse the original ECG signals handily by our browsing system, and then give a diagnosis colligating other clinic features of the patient.

Electrocardiography, Ambulatory↗