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In this study, we have analyzed the accelerometer data recorded during gait analysis of Parkinson disease patients for detecting freezing of gait (FOG) episodes. The proposed method filters the recordings for noise reduction of the leg movement changes and computes the wavelet coefficients to detect FOG events. Publicly available FOG database was used and the technique was evaluated using receiver...
Recent efforts in mission planning for underwater vehicles have utilised predictive models to aid in navigation, optimal path planning and drive opportunistic sampling. Although these models provide information at a unprecedented resolutions and have proven to increase accuracy and effectiveness in multiple campaigns, most are deterministic in nature. Thus, predictions cannot be incorporated into...
In non-invasive atrial fibrillation (AF) ECG analysis, it is common to remove the QRST complex components by a time-aligned average over several ECG cycles. This paper proposes another alternative using zero-padding of the QRST segments which introduces less illusive high frequency content into the residual signal. The framework of this study follows three main steps: i) characterize the sub-segments...
In non-invasive analysis of atrial fibrillation (AF), the QRST cancellation is commonly applied by using a time-aligned average over several ECG cycles. This paper proposes another technique with less illusive high frequency content into the residual signal. Firstly the QRS complexes and T-end were detected by Pan-Tompkins's technique and Zhang's algorithm respectively. Subsequently, the QRST segment...
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