OBJECTIVEThis study aims to explore the method that uses primary tumor contralateral facial artery musculocutaneous (FAMM) flap to reconstruct defects of the tongue and floor of mouth.

METHODSSix cases were selected for the use of primary tumor contralateral FAMM flap to reconstruct tongue and floor of mouth defects after tumor resection.

RESULTSThe FAMM flap of the six cases had a long pedicle that could reach the contralateral tongue and floor of mouth. All flaps were intact until post-operation. All patients experienced post-operation complications, such as temporary facial tension and limited mouth opening, which improved after 3 months. Half a year later, the flaps still did not show signs of shrinking.

CONCLUSIONFeatures of the primary tumor contralateral FAMM flap include the tissue-like material provided for reconstructing tongue or floor of mouth defects, easy acquisition, and high survival rate with minimal donor site morbidity. As such, it is an ideal material for repairing tongue and floor of mouth defects.

Arteries ; Face ; Humans ; Mouth Neoplasms ; Myocutaneous Flap ; Reconstructive Surgical Procedures ; Surgical Flaps ; Tongue ; Tongue Neoplasms

According to the characteristics of four basic P morphologies, combining the wavelet transform and the amplitude and slope of transformed P wave, a new P-wave detecting method based on "wavelet-amplitude-slope" algorithm is presented: First search out all modulus maximum pairs to satisfy the threshold after wavelet transform, and then applying the amplitude and slope criterion exclude the interferes and detect the P peak and its shape, last determine the onset and end of P wave respectively which should be separately calculated for single-peak and double-peak P wave (or biphasic P wave). The approach is applied in experiments of data from MIT/BIH database and randomly collected data of clinical ECG. The experimental statistical results shows that the correct detecting rate is as high as 96% compared to manual annotation.
Algorithms ; Electrocardiography ; Humans ; Sensitivity and Specificity ; Signal Processing, Computer-Assisted