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Maximizing the effect of Levodopa in people with Parkinson's through domestic quality wearable devices and programming a "SatNav" for Parkinson's Disease
Lower Lobby
Maximizing the effect of Levodopa in people with Parkinson's through domestic quality wearable devices and programming a "SatNav" for Parkinson's Disease
Ron Strong Consulting Services
I am trying to develop an app to work on a normal smartphone linked to smartwatch or band you can buy generally that manages pd sufferers existing medications and makes real time suggestions when the optimum... Read more

Description

I am trying to develop an app to work on a normal smartphone linked to smartwatch or band you can buy generally that manages pd sufferers existing medications and makes real time suggestions when the optimum time for the next levodopa is. A ‘Satnav’ for Levodopa that works for you to navigate you through the day, telling you when you’ve missed a dose and compensate accordingly and knowing that you’ve taken a pill and to stop worrying.

This work builds on existing studies and tries to utilise domestic over the counter products. It does not suggest changing dosages but will ask PWPs to contact the relevant medical professional to do so. As Sara Riggare writes that she self-cares 8765 hours for every hour of professional neurological care.

This research and development project would combine medicine management software and wearable devices such as wrist bands to analyse and find the best time and the amount of medications a person with Parkinson’s (PWP) is on – in real time with biofeedback giving physical confirmation through an app that meds have been taken using bio-signs picked up on the device and feeding back under/missed medication through vibration or sound.

Readings from sensors will be correlated against models of the meds the patient is taking created using a levodopa modelling web app. The author will track his own PD with these devices. It is hoped that a single device could be sourced, it is hoped to use domestic low cost sensors. We are looking for a correlated event i.e. Changed when events occurred. Sensors include heart rate, blood oxygen, temperature, accelerometer etc.

With minor adaptations this could be used further: when a baseline has been set for PWPs it would become possible to explore the responsiveness of that PWP to a specific medicine and their own metabolic speed. As it seems that pd varies from PWP to PWP this could be a very good tool to dynamically fine tune medication for a PWP using Artificial Intelligence heuristic learning techniques. This methodology would allow research to be conducted into all types of symptomatic therapies, medical, complementary, alternative, physical or psychological. This method could also be used to improve treatments for other ailments (e.g. chronic pain relief for Arthritis). Initially work will concentrate on Levadopa based meds (Stalevo, Sinemet Etc).

The initial work will be to develop a methodology of tracking and changing that is interactive with the user and professionals in order to develop an algorithm that would enable a smart device to deliver this service. It is hoped that collaboration with as many teams researching this area will provide an improved situation for PWPs and that this project can be based on many other research papers. It is intended that it should have crowd sourced research subject from the many Parkinson’s fora and info sites.

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