Our story
"I wanted to know if what I was doing was actually working."
SteadyPoint grew from one person's search for ways to cope with — and maybe increase control over — his Parkinson's tremors.
Peter noticed that his tremors weren't constant. They would sometimes lessen, even briefly disappear during what he calls "grace periods" — moments of deep relaxation, or while listening to certain music. They would worsen under stress or when he was in a hurry. But they also shifted for reasons he couldn't identify at all. By the time he noticed a change, the moment that caused it had already passed. Raw awareness, he realized, was a lagging indicator.
What he needed was a way to see what his nervous system was doing in real time — and to accumulate enough data, over enough sessions, to find the patterns his own perception kept missing. The goal is to train himself to consciously (or subconsciously) trigger the wanted patterns, and avoid the unwanted ones.
Applying his skills as an engineer, Peter built a monitor: a 3-axis accelerometer, a tiny single-board computer, a data pipeline capturing 100 samples per second, with real-time visual and sonic feedback. These are still early days. But initial results are encouraging — and we'd like to talk to anyone else who wants to try it.
SteadyPoint is that tool, built for everyone who deserves the same window into their own nervous system.