Disease Tremor Onset Using Artificial Neural Networks

clangedbivalveAI and Robotics

Oct 19, 2013 (4 years and 24 days ago)

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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 Neural Network Prediction


Future 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
and freezing, chemical side effects.


Surgical


Radio frequency Lesioning


non
-
reversible


Deep Brain Stimulation (DBS)


blocks nerve traffic

Levodopa

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 Neural Networks Prediction


Future 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 Neural Networks Prediction


Future 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 Neural Networks Prediction


Future 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?