Workshop on Time Series Analysis

22-24 November, 2022

The University of Auckland, Grafton Campus

The workshop aimed at mathematicians, physiologists, engineers and scientists who are not expert in time-series analysis and provided theoretical background as well as hands-on experience.

We learned how to detect oscillations, discern determinism from seemingly noisy data and infer interactions and couplings between oscillatory processes.

Attendees had the opportunity to analyse their own signals. A toolbox MODA (Multiscale Oscillatory Dynamics Analysis, https://github.com/luphysics/MODA) was introduced and guidance on how to use it was provided.

Our invited speakers were Prof Aneta Stefanovska,  Lancaster University, UK, Prof Peter McClintock, Lancaster University, UK, Associate Professor Jeffrey Hogan, the University of Newcastle, Australia, and Ms Juliane Bjerkan, Lancaster University, UK​.

Detailed Program

Day 1, Tuesday, 22 November 2022:

9:30am   Registration, tea and coffee.

10:10am   Welcome and housekeeping (Dr Alona Ben-Tal).

10:20am   3 min introduction by each attendee (what they do and what they hope to get from the workshop).

11:45am   Introduction to MODA (Multiscale Oscillatory Dynamics Analysis, https://github.com/luphysics/MODA) (Prof Aneta Stefanovska).

12:10pm Introduction to frequency and time-frequency analysis (A/Prof Jeff Hogan).

12:30pm   Lunch.

1:30pm   Introduction to frequency and time-frequency analysis continues (A/Prof Jeff Hogan).

2:10pm   Time-frequency representation and ridge extraction (Prof Aneta Stefanovska).

3:30pm   Afternoon tea.

4:00pm   Tutorial 1: Case studies in MODA – Ridge extraction of instantaneous phases. Examples include instantaneous heart and respiration rates in awake state and with sevoflurane or propofol in humans.

6:00pm   Dinner – attendees on their own.

Day 2, Wednesday, 23 November 2022:

9:30am   Tea and coffee.

10:00am   More on wavelets and time-frequency analysis (A/Prof Jeff Hogan).

11:00pm   Phase coherence and surrogates (Prof Aneta Stefanovska).

12:00pm   Lunch.

1:00pm   Time-series analysis of cardiovascular signals: normotension and treated hypertension (Prof Peter McClintock).

2:00pm   Tutorial 2: Case studies in MODA – Wavelet phase coherence. Examples include wavelet phase coherence between instantaneous heart and respiration rates in awake state and with sevoflurane or propofol in humans.      

3:30pm   Afternoon tea.

4:00pm   Practical work in MODA with attendees’ own signals.

6:00pm   Workshop Dinner – attendees contributed towards the cost.

Day 3, Thursday, 24 November 2022:

9:30am   Tea and coffee.

10:00am   Detecting coupling between amplitudes and frequencies of oscillations (Prof Aneta Stefanovska).

12:00pm   Lunch.

1:00pm   The effect of temperature on the cardiovascular and respiratory system (Ms Juliane Bjerkan).

2:00pm   Tutorial 3: Case studies in MODA – Coupling strength and coupling functions. Examples include coupling between instantaneous heart and respiration amplitude/rates in awake state and with sevoflurane or propofol in humans.

3:30pm   Afternoon tea.

4:00pm   Closing remarks.

Venue:

28 Park Avenue, Grafton, Auckland, 1023.

Talks in Room 507-LG004.

Tutorials in Room 503-124.

Morning tea, lunch and afternoon tea near room 507-LG004.

 

Transportation and Local Attractions

We recommend traveling to the Grafton Campus by public transport. Building 503 is 5 min walk from Grafton Train Station and 20 min walk from Newmarket Train Station.   See time tables of trains and buses here.

Auckland Domain is across the road from Building 503 and Auckland Museum is 15 min walk through the Domain. Check out other atractions in Auckland here.

Thank you to our sponsors and partners

Insightful Modelling