Parkinson`s Disease Tremor Prediction with On Demand Driven
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Transcript Parkinson`s Disease Tremor Prediction with On Demand Driven
Prediction of Parkinson’s
Disease Tremor Onset Using
Artificial Neural Networks
Kevin Warwick
Road Map
Parkinson’s
Disease (PD) and
Treatments
Deep
Brain Stimulation (DBS) Treatment
on PD Tremor
PD
Brain Data Analysis
Artificial
Future
Neural Network Prediction
Research
Parkinson’s Disease
What is Parkinson's Disease (PD)?
Symptoms of Parkinson’s Disease
Tremor, Slowness of movement, Rigidity,
Poor balance
How is PD caused in theory
Substantia nigra
Dopamine
Sir William
Richard Gowers
(1886)
Current PD Treatment
Drugs – Various forms of Levodopa (L-dopa)
Advantage – effective for early PD patients, cheap
Disadvantage – kyskinesias, unpredictable on-off switching
Levodopa
and freezing, chemical side effects.
Surgical
Radio frequency Lesioning – non-reversible
Deep Brain Stimulation (DBS) – blocks nerve traffic
PD Patient’s Brain Data Gathering
Road Map
Parkinson’s
Disease (PD) and
Treatments
Deep
Brain Stimulation (DBS) Treatment
on PD Tremor
PD
Brain Data Analysis
Artificial
Future
Neural Networks Prediction
Research
DBS Treatment on PD
What
is Deep Brain Stimulation?
Electrode,
a connecting cable and
Neurostimulator
Video
(Dana Centre)
Research Project
What
is wrong with current DBS?
Large amount of battery usage
Continuous stimulation – overrides brain
Open-Loop
Side Effects?
Create
an intelligent DBS system which
can predict PD tremor onset using
Artificial Neural Networks (ANNs)
Road Map
Parkinson’s
Disease (PD) and
Treatments
Deep
Brain Stimulation (DBS) Treatment
on PD Tremor
PD
Brain Data Analysis
Artificial
Future
Neural Networks Prediction
Research
PD Patients Brain Data Plot
Frequency Domain Analysis
Road Map
Parkinson’s
Disease (PD) and
Treatments
Deep
Brain Stimulation (DBS) Treatment
on PD Tremor
PD
Brain Data Analysis
Artificial
Future
Neural Networks Prediction
Research
ANN Design Principles
MLP Results
Road Map
Parkinson’s
Disease (PD) and
Treatments
Deep
Brain Stimulation (DBS) Treatment
on PD Tremor
PD
Brain Data Analysis
Artificial
Neural Networks Prediction
Comments
& Future Research
Comments
Aim is to accurately predict tremors and then
apply stimulation in order to stop them
occurring
Only stimulate when prediction indicates
Needs research into nature of stimulation –
frequency/magnitude/time prior for
effect/generality with different people
Doesn’t matter so much if false positive
predictions
Does matter if false negatives
More Comments
Every
PD case is a little bit different
Not everyone can benefit from
stimulation
Probably not everyone will benefit from
our prediction + stimulation (subset)
Doesn’t have to be neural network
Hybrid methods probably best
Neural net good for nonlinearities though
Future Research
More
Tests on resting data – no false
calls
Test on a broader range of patients to
assess general results with our current
MLP (male, female, age difference)
Test on other problems
(Epilepsy/Tourette’s/Emotional)
Apply feedback loop (MRC project)
Surprise
Biggest
shock has been the prediction
time
15/20 seconds seems typical
But this means we know for sure what
will happen in the human brain 15/20
seconds before it happens
How long could this time be?
What else could we predict this way?
Other Points
Developing
here an AI brain within the
human brain
Use for other diseases – not just PD
Could be used for emotional
changes/control
Ethical concerns:
What should predictor/stimulator be used
for in humans?
What about responsibility/murders etc?