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Dr. Gari D. Clifford, University Lecturer & Associate Director,

Biomedical Signal Processing Overview Centre for Doctoral Training in Healthcare Innovation. Dr. Gari D. Clifford, University Lecturer & Associate Director, Centre for Doctoral Training in Healthcare Innovation, Institute of Biomedical Engineering, University of Oxford. The course.

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Dr. Gari D. Clifford, University Lecturer & Associate Director,

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  1. Biomedical Signal ProcessingOverviewCentre for Doctoral Training in Healthcare Innovation Dr. Gari D. Clifford, University Lecturer & Associate Director, Centre for Doctoral Training in Healthcare Innovation, Institute of Biomedical Engineering, University of Oxford

  2. The course Patient monitoring and data acquisition Biomedical signals – ECG, SAO₂, BP, EEG, Resp, Speech … Time series analysis, autocorrelation, correlation Sampling, interpolation, windowing, decimation and anti-aliasing Frequency analysis AR spectral analysis, cepstral analysis & speech Filtering (IIR/FIR) Event detection (beats, arrhythmias) Feature extraction (respiration, HRV) Labs (every afternoon) – ECG & PPG analysis Applications (final day) – presentations on 3 research topics

  3. The team Dr Gari Clifford <gari@robots.ox.ac.uk> Dr David Clifton <davidc@robots.ox.ac.uk> Dr Julien Oster <julien.oster@eng.ox.ac.uk> Alistair johnson <alistair.johnson@eng.ox.ac.uk> Joachim Behar <joachim.behar@eng.ox.ac.uk>

  4. Workload Two lectures/ reading groups each morning Nine 4 hour labs (each afternoon) Read 3 articles over two weeks and prep discussions One 15 minute PPT on the final day (3 hours to prep in class) Lab report (Google Doc) to fill in as you go

  5. Assessment / assignments Class interaction Lab diary – write up notes as you perform investigations Share your diary with me (gari.clifford@gmail.com) Journal readings / presentations 3 papers to read the night before class Final day presentations Work in teams for 3 hours to put a short PPT together on a novel solution to an existing problem

  6. Syllabus – Week 1 Monday Lecture 1: (9.30-10.30am) Course overview,ECG acquisition, storage and transmission. [GDC] Lecture 2: (11 am-12pm) Etiology & clinical interpretation of ECG. [GDC] Lab 1 (1-4 pm) – ECG acquisition [GDC] Tuesday Lecture 3: (9.30:10.30 am) Introduction to digital filtering [JO] Lecture 4: (11 am-12 pm) Infinite & finite impulse response filtering [JO] Lab 2 (1-5 pm) – ECG acquisition (cont.) - spectral properties of the ECG and its contaminants [GDC] Wednesday Lecture 5: Fourier series, sampling & aliasing (time & frequency). [DAC] Lecture 6: The discrete-time Fourier transform, FFT & hann window [DAC] Lab 3 (1-5 pm) – VFib detection Thursday Lecture 7: (9.30:10.30 am) (9.30:10.30 am) Re-sampling, interpolation, windowing, decimation and anti-aliasing.[DAC] Lecture 8: (11 am-12pm) The STFT, the spectrogram, scalogram and wavelets [GDC] Lab 4 (1-5 pm) – VFib detection Friday Lecture 9: (9.30:10.30am) AR spectral analysis & cepstral analysis [DW] Lecture 10: (11am-12pm) Speech analysis [DW] Lab 5 (1-5 pm) – Vfib analysis - resampling and aliasing, anti-aliasing filters

  7. Syllabus – Week 2 Monday Lecture 11: (9.30am-10.30am) Noise sources in biomedical signals, SQI & event detection. [GDC] Journal reading: (11 am-12 pm) ECG Data & noise, QQS Detection. [GDC]  Lab 6 (1-4 pm) – QRS detection Tuesday Lecture 12:(9.30 am-10.30 am) Upsampling / interpolation & reading: Friesen et al. (1990) [GDC] Lecture 13: (11 am-12 pm) HRV & ECG derived respiration (RSA and EDR)  [GDC] Lab 7 (1-5 pm) – QRS detection (cont.) + respiration signal extraction Wednesday Lecture 14 (9.30 am-10.30 am) The PPG: Deriving respiration from PPG [DW] Journal reading: (11 am-12 pm)Non-invasive measurement of respiratory rate using the photoplethysmogram'. [DW] Lab 8 (1-5 pm) – PPG respiration analysis - estimating respiratory frequency from multiple signals Thursday Lecture 15: (9.30 am-10.30 am) Sleep, EEG and Biosomnia [GDC] Lecture 16: (11 am-12 pm) Signal correlations: The cross spectrum & significance testing [GDC] Lab 9 (1-5 pm) – PPG lab continued: Fusion of EDR and PDR Friday Applications day: [GDC / DAC / JO] - Four real problems will be presented . You will then break into 4 teams and spend 3 hours preparing a 15min PPT describing a possible solution. 9.30 am-10.30 am Presentations of problems [GDC/DAC/…]  11am-2.30pm Preparation of PPTs (you) 2.30pm-3.30/4pm Presentations & questions [All]

  8. … and today This afternoon you’ll record your own ECG This morning: review of the etiology, recording and interpretation of the ECG with Dr Kazem Rahimi, MRCP DM MSc James Martin Fellow in Essential Healthcare & Honorary Consultant Cardiologist , Department of Cardiology, Oxford Heart Centre Deputy Director George Centre for Healthcare Innovation at the University of Oxford

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