The Possibilities of Digital and Analogue Technology in Parkinsons - PowerPoint PPT Presentation

The Possibilities of Digital and Analogue Technology in Parkinson’s Julio Vega

Symptom Knowledge in Parkinson’s (digital) 2

Previous work Most approaches have been ● Uncomfortable ● Disruptive ● Motor oriented ● Using a single device @julio_ui 3

Missing potential Consumer electronics can be heterogeneous (mixed) data sources Personal Environmental Web Movement Infrared Weather Smartphones Pressure Social Networks Wearables Video Geographic data @julio_ui 4

What is new in SKIP? Combine heterogeneous sources to allow an assessment that is: Continuous ● Longitudinal ● Naturalistic ● Unobtrusive ● Personalised ● @julio_ui 5

Our goal is to reconstruct people’s daily routines 6

Methodology Heterogeneous Profile of Digital transform transform data Living Biomarkers @julio_ui 7

Profile of Living @julio_ui 8

Digital Biomarkers Examples 9

Visited places day 01 - 15 day 16 - 30 @julio_ui 10

Phone usage 00:00 - 12:00 - 23:59 - July ‘17 October ‘17 January ‘18 @julio_ui 11

Current work We are running a 9-month study ● Monitoring 11 people, 24/7 ● Collecting up to 22 different data sources using Android and iOS smartphones as main device ● Visiting participants every six weeks to collect ground truth @julio_ui 12

And Analogue... 13

Agile Prototyping 1 2 3 4 5 @julio_ui 14

Paper Diary 6 Flexible ● Personalised ● No handwriting required ● Blending digital/analogue ● Open source ● 97% compliance ● @julio_ui 15

Design implications 1. Reduce participant completion demand 2. Design to offset the effect of tremor on input 3. Enable implicit reminders 4. Design for consequences of increased awareness 5. Consider the effects of handwritten notes in compliance, encoding burden and data quality Published in CHI’18: bit.do/paper_diary @julio_ui 16

PaperStream You can use PaperStream to create and encode diaries/surveys for free bit.do/pstream @julio_ui 17

Key messages Design for and Design for and Consider analogue Aim for unobtrusive and with People with with People with approaches personalised Parkinson’s Parkinson’s @julio_ui 18

Thank you! julio.vega@manchester.ac.uk @julio_ui juliovega.info 19

First efforts Interviews with clinicians and ● neuroscientists Focus groups with people with ● Parkinson’s Pilot study monitoring 2 people, 24/7 for ● 3 months using a smartphone @julio_ui 20

Call log 00:00 - 12:00 - 23:59 - July ‘17 October ‘17 January ‘18 @julio_ui 21

Evaluation Predict clinical scores based on fluctuation scores @julio_ui 22

Bluetooth profiling bluetooth devices bluetooth devices bluetooth devices 01 02 03 04 05 06 07 08 09 10 21 22 23 24 25 26 27 28 29 30 11 12 13 14 15 16 17 18 19 20 days days days @julio_ui 23

Problem 1. Parkinson’s is neuro-degenerative and incurable 2. Symptoms are many and fluctuate daily 3. Patients visit their clinicians twice a year Emotional Motor Cognitive @julio_ui 24

Goals Is it possible to: 1. Infer complex human behaviour from heterogeneous data? 2. Measure the influence of Parkinson's on the inferred behaviour? 3. Monitor Parkinson’s progression using the fluctuations of such behaviour? @julio_ui 25

Metrics to explore Digital Biomarker Metric 1. Time at home 2. Visited places (frequency, duration) Social Interaction 3. Duration & frequency of calls and texts 4. Profiling of Bluetooth devices 1. Get-up time 2. Bed time Phone use 3. Typing patterns 4. Use sessions at day and night @julio_ui 26