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

The Possibilities of Digital and Analogue Technology in Parkinson’s

Julio Vega

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Symptom Knowledge in Parkinson’s (digital)

@julio_ui

Most approaches have been

• Uncomfortable
• Disruptive
• Motor oriented
• Using a single device

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Previous work

@julio_ui

Consumer electronics can be heterogeneous (mixed) data sources

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Missing potential

Personal Movement Smartphones Wearables Environmental Infrared Pressure Video Web Weather Social Networks Geographic data

@julio_ui

Combine heterogeneous sources to allow an assessment that is:

• Continuous
• Longitudinal
• Naturalistic
• Unobtrusive
• Personalised

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What is new in SKIP?

Our goal is to reconstruct people’s daily routines

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@julio_ui

Profile of Living

Methodology

Heterogeneous data Digital Biomarkers transform transform

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@julio_ui

Profile of Living

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Digital Biomarkers Examples

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@julio_ui

Visited places

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day 01 - 15 day 16 - 30

@julio_ui

Phone usage

11 00:00 - 12:00 - 23:59 - July ‘17 October ‘17 January ‘18

@julio_ui

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

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And Analogue...

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@julio_ui

Agile Prototyping

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1 2 3 4 5

@julio_ui

Paper Diary

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• Flexible
• Personalised
• No handwriting required
• Blending digital/analogue
• Open source
• 97% compliance

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@julio_ui

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

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Published in CHI’18: bit.do/paper_diary

@julio_ui

PaperStream

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

@julio_ui

Key messages

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Design for and with People with Parkinson’s Consider analogue approaches Design for and with People with Parkinson’s Aim for unobtrusive and personalised

Thank you!

julio.vega@manchester.ac.uk @julio_ui juliovega.info

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@julio_ui

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

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@julio_ui

Call log

21 00:00 - 12:00 - 23:59 - July ‘17 October ‘17 January ‘18

@julio_ui

Evaluation

Predict clinical scores based on fluctuation scores

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@julio_ui

Bluetooth profiling

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

@julio_ui

Problem

• 1. Parkinson’s is neuro-degenerative and incurable
• 2. Symptoms are many and fluctuate daily
• 3. Patients visit their clinicians twice a year

Motor Cognitive Emotional

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@julio_ui

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
• f such behaviour?

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@julio_ui

Metrics to explore

Digital Biomarker Metric

Social Interaction

• 1. Time at home
• 2. Visited places (frequency, duration)
• 3. Duration & frequency of calls and texts
• 4. Profiling of Bluetooth devices

Phone use

• 1. Get-up time
• 2. Bed time
• 3. Typing patterns
• 4. Use sessions at day and night

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