AIM：To compare the diagnostic performance of isolatedcheck visual evoked potential（ic VEP） and standard automated perimetry（SAP）,for evaluating the application values of ic VEP in the detection of early glaucoma....AIM：To compare the diagnostic performance of isolatedcheck visual evoked potential（ic VEP） and standard automated perimetry（SAP）,for evaluating the application values of ic VEP in the detection of early glaucoma.METHODS：Totally 144 subjects（288 eyes） were enrolled in this study.ic VEP testing was performed with the Neucodia visual electrophysiological diagnostic system.A 15% positive-contrast（bright） condition pattern was used in this device to differentiate between glaucoma patients and healthy control subjects.Signal-to-noise ratios（SNR） were derived based on a multivariate statistic.The eyes were judged as abnormal if the test yielded an SNR≤1.SAP testing was performed with the Humphrey Field Analyzer II.The visual fields were deemed as abnormality if the glaucoma hemifield test results outside normal limits;or the pattern standard deviation with P〈0.05;or the cluster of three or more non-edge points on the pattern deviation plot in a single hemifield with P〈0.05,one of which must have a P〈0.01.Disc photographs were graded as either glaucomatous optic neuropathy or normal by two experts who were masked to all other patient information.Moorfields regression analysis（MRA） used as a separate diagnostic classification was performed by Heidelberg retina tomograph（HRT）.RESULTS：When the disc photograph grader was used as diagnostic standard,the sensitivity for SAP and ic VEP was 32.3% and 38.5% respectively and specificity was 82.3% and 77.8% respectively.When the MRA Classifier was used as the diagnostic standard,the sensitivity for SAP and ic VEP was 48.6% and 51.4% respectively and specificity was 84.1% and 78.0% respectively.When the combined structural assessment was used as the diagnostic standard,the sensitivity for SAP and ic VEP was 59.2%and 53.1% respectively and specificity was 84.2% and 84.6% respectivlely.There was no statistical significance between the sensitivity or specificity of SAP and ic VEP,regardless of which diagnostic standard was based on.CONCLUSION：The diagnostic performance of ic VEP is not better than that of SAP in the detection of early glaucoma.展开更多
A great challenge faced by wireless sensor networks(WSNs) is to reduce energy consumption of sensor nodes. Fortunately, the data gathering via random sensing can save energy of sensor nodes. Nevertheless, its randomne...A great challenge faced by wireless sensor networks(WSNs) is to reduce energy consumption of sensor nodes. Fortunately, the data gathering via random sensing can save energy of sensor nodes. Nevertheless, its randomness and density usually result in difficult implementations, high computation complexity and large storage spaces in practical settings. So the deterministic sparse sensing matrices are desired in some situations. However,it is difficult to guarantee the performance of deterministic sensing matrix by the acknowledged metrics. In this paper, we construct a class of deterministic sparse sensing matrices with statistical versions of restricted isometry property(St RIP) via regular low density parity check(RLDPC) matrices. The key idea of our construction is to achieve small mutual coherence of the matrices by confining the column weights of RLDPC matrices such that St RIP is satisfied. Besides, we prove that the constructed sensing matrices have the same scale of measurement numbers as the dense measurements. We also propose a data gathering method based on RLDPC matrix. Experimental results verify that the constructed sensing matrices have better reconstruction performance, compared to the Gaussian, Bernoulli, and CSLDPC matrices. And we also verify that the data gathering via RLDPC matrix can reduce energy consumption of WSNs.展开更多
The complexity/performance balanced decoder for low-density parity-check （LDPC） codes is preferred in practical wireless communication systems. A low complexity LDPC decoder for the Consultative Committee for Space ...The complexity/performance balanced decoder for low-density parity-check （LDPC） codes is preferred in practical wireless communication systems. A low complexity LDPC decoder for the Consultative Committee for Space Data Systems （CCSDS） standard is achieved in DSP. An ap- proximate decoding algorithm, normalized rain-sum algorithm, is used in the implementation for its low amounts of computation. To reduce the performance loss caused by the approximation, the pa- rameters of the normalized min-sum algorithm are determined by calculating and finding the mini- mum value of thresholds through density evolution. The minimum value which indicates the best per- formance of the decoding algorithm is corresponding with the optimized parameters. In implementa- tion, the memory cost is saved by decomposing the parity-check matrix into submatrices to store and the computation of passing message in decoding is accelerated by using the intrinsic function of DSP. The performance of the decoder with optimized factors is simulated and compared with the ideal BP decoder. The result shows they have about the same performance.展开更多
基金Supported by the Plan of Wenzhou Science and Technology(No.Y20160439)
文摘AIM：To compare the diagnostic performance of isolatedcheck visual evoked potential（ic VEP） and standard automated perimetry（SAP）,for evaluating the application values of ic VEP in the detection of early glaucoma.METHODS：Totally 144 subjects（288 eyes） were enrolled in this study.ic VEP testing was performed with the Neucodia visual electrophysiological diagnostic system.A 15% positive-contrast（bright） condition pattern was used in this device to differentiate between glaucoma patients and healthy control subjects.Signal-to-noise ratios（SNR） were derived based on a multivariate statistic.The eyes were judged as abnormal if the test yielded an SNR≤1.SAP testing was performed with the Humphrey Field Analyzer II.The visual fields were deemed as abnormality if the glaucoma hemifield test results outside normal limits;or the pattern standard deviation with P〈0.05;or the cluster of three or more non-edge points on the pattern deviation plot in a single hemifield with P〈0.05,one of which must have a P〈0.01.Disc photographs were graded as either glaucomatous optic neuropathy or normal by two experts who were masked to all other patient information.Moorfields regression analysis（MRA） used as a separate diagnostic classification was performed by Heidelberg retina tomograph（HRT）.RESULTS：When the disc photograph grader was used as diagnostic standard,the sensitivity for SAP and ic VEP was 32.3% and 38.5% respectively and specificity was 82.3% and 77.8% respectively.When the MRA Classifier was used as the diagnostic standard,the sensitivity for SAP and ic VEP was 48.6% and 51.4% respectively and specificity was 84.1% and 78.0% respectively.When the combined structural assessment was used as the diagnostic standard,the sensitivity for SAP and ic VEP was 59.2%and 53.1% respectively and specificity was 84.2% and 84.6% respectivlely.There was no statistical significance between the sensitivity or specificity of SAP and ic VEP,regardless of which diagnostic standard was based on.CONCLUSION：The diagnostic performance of ic VEP is not better than that of SAP in the detection of early glaucoma.
基金supported by the National Natural Science Foundation of China(61307121)ABRP of Datong(2017127)the Ph.D.’s Initiated Research Projects of Datong University(2013-B-17,2015-B-05)
文摘A great challenge faced by wireless sensor networks(WSNs) is to reduce energy consumption of sensor nodes. Fortunately, the data gathering via random sensing can save energy of sensor nodes. Nevertheless, its randomness and density usually result in difficult implementations, high computation complexity and large storage spaces in practical settings. So the deterministic sparse sensing matrices are desired in some situations. However,it is difficult to guarantee the performance of deterministic sensing matrix by the acknowledged metrics. In this paper, we construct a class of deterministic sparse sensing matrices with statistical versions of restricted isometry property(St RIP) via regular low density parity check(RLDPC) matrices. The key idea of our construction is to achieve small mutual coherence of the matrices by confining the column weights of RLDPC matrices such that St RIP is satisfied. Besides, we prove that the constructed sensing matrices have the same scale of measurement numbers as the dense measurements. We also propose a data gathering method based on RLDPC matrix. Experimental results verify that the constructed sensing matrices have better reconstruction performance, compared to the Gaussian, Bernoulli, and CSLDPC matrices. And we also verify that the data gathering via RLDPC matrix can reduce energy consumption of WSNs.
基金Supported by the National Natural Science Foundation of China (61205116)
文摘The complexity/performance balanced decoder for low-density parity-check （LDPC） codes is preferred in practical wireless communication systems. A low complexity LDPC decoder for the Consultative Committee for Space Data Systems （CCSDS） standard is achieved in DSP. An ap- proximate decoding algorithm, normalized rain-sum algorithm, is used in the implementation for its low amounts of computation. To reduce the performance loss caused by the approximation, the pa- rameters of the normalized min-sum algorithm are determined by calculating and finding the mini- mum value of thresholds through density evolution. The minimum value which indicates the best per- formance of the decoding algorithm is corresponding with the optimized parameters. In implementa- tion, the memory cost is saved by decomposing the parity-check matrix into submatrices to store and the computation of passing message in decoding is accelerated by using the intrinsic function of DSP. The performance of the decoder with optimized factors is simulated and compared with the ideal BP decoder. The result shows they have about the same performance.
