Biomedical Signal Processing and Control
Papers 1900
1 page of 190 pages (1,900 results)
#1Gustavo Mourão (UFSC: Universidade Federal de Santa Catarina)
#2Marcio H. Costa (UFSC: Universidade Federal de Santa Catarina)H-Index: 9
Last. Stephan Paul (UFSC: Universidade Federal de Santa Catarina)H-Index: 5
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Abstract Cochlear implants (CI) are the most successful electronic prostheses for human beings. They almost completely restore the communication capability in profound-to-severe hearing losses under quiet conditions. However, noisy scenarios still impose critical intelligibility limitations. Time-frequency masks have been widely used to improve signal to noise conditions (SNR) and, as a consequence, increase the speech intelligibility. The most studied methods in the literature are the Binary ma...
#1Nithin Varma Malathkar (NITH: National Institute of Technology, Hamirpur)
#2Surender Kumar Soni (NITH: National Institute of Technology, Hamirpur)H-Index: 6
Abstract Presented a low cost technique for transmitting data through radio frequency antenna using low power, which is the combination of low computational complexity image compression algorithm and simple colour reproduction algorithm. In wireless capsule endoscopy, radio frequency antenna consume more than 60% of power for transmitting data and transmitting all the RGB components consume more power. In the proposed scheme, the first compressed colour frame is transmitted followed by few numbe...
#1Enzeng Dong (Tianjin University of Technology)H-Index: 3
#2Kairui Zhou (Tianjin University of Technology)
Last. Shengzhi Du (TUT: Tshwane University of Technology)H-Index: 1
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Abstract Relevance vector machine (RVM) is a sparse Bayesian probability model commonly utilized in classification problems. Kernel functions are critical for the classification capacity of RVM. The kernel functions of RVM are not limited by the Mercer theorem, which differs RVM from the traditional support vector machine (SVM). As a typical local kernel function, the Gaussian kernel function has strong interpolating capacity, while the polynomial kernel function, a representative of global kern...
#1Geerthy Thambiraj (National Institute of Technology, Tiruchirappalli)
#2Uma Gandhi (National Institute of Technology, Tiruchirappalli)H-Index: 4
Last. M Anand (National Institute of Technology, Tiruchirappalli)
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Abstract Objective Regulation and inhibition of high blood pressure, known as hypertension are intricate, and it demands a continuous, accurate blood pressure measurement system. All the existing continuous non-invasive techniques own challenges such as exact placement of the sensor, reconstruction of arterial pressure from finger cuff, frequent and subject based calibration. This paper presents an algorithm based on new time-domain features for continuous blood pressure monitoring which is cruc...
Abstract Diabetic retinopathy is a disorder that occurs in retina and it is caused by diabetes mellitus. Millions of people with diabetic retinopathy are expected to experience a loss of vision across the globe. Therefore, accurate automated-diagnosis systems are highly needed to help physicians in clinical milieu. Though many factors are effective in the diagnosis of diabetic retinopathy, presence of hemorrhage in retina remains one of the most significant factors. We present a three-stage hybr...
#1Hiba Ramadan (SIDI)H-Index: 2
Last. Hamid Tairi (SIDI)H-Index: 4
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Abstract The development of computer aided diagnosis (CAD) systems for the task of tumor detection and segmentation in breast ultrasound (BUS) images presents one of the most active research fields. In this paper, a saliency-guided approach for fast and automatic tumor segmentation in BUS images is proposed. We explore the ability of the concept of saliency to emulate radiologist expertise for tumor lesion detection in BUS images. For that, we compute BUS image saliency to generate effective tum...
#1Qianhui Sun (Cant.: University of Canterbury)
#2Cong Zhou (Cant.: University of Canterbury)H-Index: 5
Last. J. Geoffrey Chase (Cant.: University of Canterbury)H-Index: 41
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Abstract Mechanical ventilation (MV) is the primary way to treat patients with acute respiratory distress syndrome (ARDS) in the intensive care unit (ICU). Positive-end-expiratory-pressure (PEEP) is often applied in MV to maximise gas exchange and prevent further lung damage. However, optimal MV with patient-specific PEEP level is subjective, based on clinician experience, thus increasing the risk variability, and cost of care. In this study, a single compartment lung mechanics model is employed...
#1Sebastian Acosta (BCM: Baylor College of Medicine)H-Index: 8
#2Mubbasheer Ahmed (BCM: Baylor College of Medicine)
Last. Craig G. Rusin (BCM: Baylor College of Medicine)H-Index: 15
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Abstract Objective To propose a new method to estimate pulse pressure variability (PPV) in the arterial blood pressure waveform. Methods Traditional techniques of calculating PPV using peak finding have a fundamental flaw that prevents them from accurately resolving PPV for small tidal volumes, limiting the use of PPV to only mechanical ventilated patients. The improved method described here addresses this limitation using Fourier analysis of an oscillatory signal that exhibits a time-varying mo...
Abstract In this paper, a new method for reconstructing multichannel EEG signals from their compressive measurements is proposed which exploits the inter-channel correlation. Such correlation is used in the row-sparse multiple measurement vector (RSMMV) recovery approach to improve its performance in reconstructing multichannel EEGs. In this approach, it is assumed that the multichannel EEG signal ensemble is a row-sparse matrix in some domain such as wavelet, discrete cosine transform (DCT), or...
#1Ashish Rohila (IITR: Indian Institute of Technology Roorkee)
#2Ambalika Sharma (IITR: Indian Institute of Technology Roorkee)H-Index: 2
Abstract Objective The variability related to acceleration and deceleration of heart rate contributes unevenly to the overall heart rate variability (HRV). Thus, the spread of heart rate is asymmetric. Despite developing several heart rate asymmetry (HRA) measures, none examines this disparity in HRV. Therefore, a new HRA measure, asymmetric spread index (ASI), is proposed to measure asymmetry in the variability of heart rate associated with acceleration and deceleration. HRA generally arises du...
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Support vector machine
Pattern recognition
Computer vision
Computer science