Publications by authors named "Haiping Bao"

Parkinson's disease (PD) is a prevalent neurodegenerative disease, and its prevalence increases steadily with age. Circular RNAs (circRNAs) are involved in various neurodegenerative diseases. Here, we aimed to explore the role of circRNA DLG-associated protein 4 (circDLGAP4) in 1-methyl-4-phenylpyridinium ion (MPP )-induced neuronal injury in PD.

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Parkinson's disease (PD) is a common neurodegenerative disease. Circular RNAs (circRNAs) have been confirmed to regulate neurodegenerative diseases. This study was aimed to explore hsa_circ_0054220 functions in PD.

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Background: We aimed to investigate the expression of Klotho gene in peripheral blood of patients with cerebral infarction (CI) and the association of its polymorphisms with the occurrence of CI.

Methods: A total of 60 CI patients (CI group) and 20 healthy people receiving physical examination (control group) were enrolled as the research subjects. The expression of Klotho gene in CI group and control group was determined using enzyme-linked immunosorbent assay kit.

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Background: We reported a case of an adult that presented Guillain-Barré syndrome (GBS) after bacterial meningitis which was secondary to chronic suppurative otitis media (CSOM). To our knowledge, this is the first case involving an adult presenting with GBS following bacterial meningitis.

Case Presentation: A 46-year man with type 2 diabetes and otitis media (OM) suffered with fever, headache, and vomiting for 6 days.

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[Analysis of the related risk factors of diabetic peripheral neuropathy].

Zhonghua Shi Yan He Lin Chuang Bing Du Xue Za Zhi

December 2012

Objective: To explore the risk factors of diabetic peripheral neuropathy (DPN) and the relationship between DPN and diabetic retinopathy (DR).

Methods: The data of the in-patients with type 2 diabetes mellitus (T2 DM) were retrospectively studied. A total of 200 T2 DM patients were divided into DPN group (n = 136) and non-DPN group (n = 64) according to peripheral neuropathy.

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The automatic spike detection in EEG is significant in both diagnosing illness and alleviating the heavy labour force of the doctor. This paper proposes a new EMD based method to complete spike detection. It decomposes a signal into a few intrinsic mode functions (IMF), and then applies the nonlinear energy operator (NEO) to the first IMF to complete the automatic detection.

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Hilbert-Huang transform (HHT) is a new time-frequency analytic method to analyze the nonlinear and the non-stationary signals. The key step of this method is the empirical mode decomposition (EMD), with which any complicated signal can be decomposed into a finite and small number of intrinsic mode functions (IMF). In this paper, a new EMD based method for suppressing the cross-term of Wigner-Ville distribution (WVD) is developed and is applied to analyze the epileptic EEG signals.

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The automatic detection of EEG spikes is important both in diagnosis and alleviating the hart work of doctors. This paper uses B-spline wavelet which does well in detecting break point to detect spike of epilepsy. Through experiment, the validity of the method is proved.

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