Functional and aesthetic reconstruction after wide decompressive craniectomy directly correlates with subsequent quality of life. Advancements in the development of biomaterials have now made three-dimensional (3-D) titanium mesh a new option for the repair of skull defects after craniectomy. The purpose of this study was to review aesthetic and surgical outcomes and complications of patients who had skull defects repaired with 3-D titanium mesh. The records of 40 adult patients (31 unilateral craniectomies and 9 bilateral craniectomies) who underwent a computer-assisted designed titanium mesh implant at a university hospital from January 2008 to January 2010 were retrospectively reviewed. Aesthetic outcomes, cranial nerve V and VII function, and complications (hardware extrusions, meningitis, osteomyelitis, brain abscess, and pneumocephalus) were evaluated. The craniofacial symmetry, implant stability, and functional outcomes were excellent for all patients. No patients had trigeminal or facial dysfunction. All had excellent cosmetic results as measured by post-reduction radiographs and personal and family perceptions of the forehead contour. Two patients had delayed wound healing and subsequent subclinical wound infections, which resolved after treatment with antibiotics for 2 weeks. Craniofacial skeletal reconstruction with 3-D titanium mesh results in excellent forehead contour and cosmesis, and subsequently a better quality of life with few complications. Titanium mesh reconstruction offers a favorable alternative to other graft materials in the repair of large skull defects.

Hirayama disease is so rare that it is easily misdiagnosed. Diagnosis is achieved via clinical presentation, neurophysiological examination, and neuroradiological imaging studies (dynamic MR imaging). The anterior decompressive approach may be better for patients showing anterior effacement and severe cervical kyphosis during neck flexion in MR imaging.

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We present an extremely rare case of delayed and combined ventriculoperitoneal shunt blockage, viscus perforation and migration into the urethra manifested by a repeated urinary tract infection. This was discovered six months after the shunt was inserted. Although there were various other transient symptoms, the patient did not show obvious peritoneal signs. This complication could have been lethal if the discovery had been delayed. One of the best ways of preventing such migration is possibly the use of a softer catheter. However, making sure of appropriate redundancy for the abdominal part of the catheter may be of equal importance.

Watermarking is the most widely used technology in the field of copyright and biological information protection. In this paper, we use quantization based digital watermark encryption technology on the Electrocardiogram (ECG) to protect patient rights and information. Three transform domains, DWT, DCT, and DFT are adopted to implement the quantization based watermarking technique. Although the watermark embedding process is not invertible, the change of the PQRST complexes and amplitude of the ECG signal is very small and so the watermarked data can meet the requirements of physiological diagnostics. In addition, the hidden information can be extracted without knowledge of the original ECG data. In other words, the proposed watermarking scheme is blind. Experimental results verify the efficiency of the proposed scheme.

In the current open society and with the growth of human rights, people are more and more concerned about the privacy of their information and other important data. This study makes use of electrocardiography (ECG) data in order to protect individual information. An ECG signal can not only be used to analyze disease, but also to provide crucial biometric information for identification and authentication. In this study, we propose a new idea of integrating electrocardiogram watermarking and compression approach, which has never been researched before. ECG watermarking can ensure the confidentiality and reliability of a user's data while reducing the amount of data. In the evaluation, we apply the embedding capacity, bit error rate (BER), signal-to-noise ratio (SNR), compression ratio (CR), and compressed-signal to noise ratio (CNR) methods to assess the proposed algorithm. After comprehensive evaluation the final results show that our algorithm is robust and feasible.

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