Our goal is to get insight into nocturnal perspiration (night sweating) of women during the menopause.Nightly sweat behaviour as a digital biomarker
Q-Strip measures nightly sweat behaviour. We've done scientific research which shows that to this day no specific evidence-based approach for diagnosing nocturnal perspiration exists. By introducing the Q-strip, an IoT device that quantitatively measures nocturnal perspiration, this could be acquired. The Q-strip could serve a purpose in diagnosing nocturnal perspiration more efficient without being intrusive. See article: https://zenodo.org/record/3817068Nocturnal Sweating during menopause
Night Sweats are a familiar and common symptom of women during the menopause. How much do women sweat? What is causing this deviated sweating? What are the relations between sweating and other symptoms? Q-Strip has the potential to give valuable insight to scientists and pharmaceutical companies to improve their treatments and drug development in order to relieve the impact of menopause on the life of women.Pilot research project: collecting data
At the moment we are cooperating with scientists to validate the Q-Strip as a new digital biomarker. In the meantime we would love to do a pilot research. With a budget of $5, 000 or $4, 000 we would be able to collect long-term daily data of about 25 women in the menopause. We will share the data publicly and invite menopause specialists to analyse the results and draw their conclusions. We believe this pilot research will inspire many specialists to come up with further research and inventions to hack the symptoms of the menopause.Technical introduction Q-Strip
A short introduction movie of using a Q-Strip to monitor body sweat behaviour.
Below you see a chart of the maximum perspiration of each day during three weeks of a woman (Age 40, BMI: 34). What do you think the red line can tell us? And what will we see when we analyse a group of woman in the menopause? We are inventors. It's up to medical scientists to draw conclusions. We only want to mention that we can't imagine that these patterns are random. So let's cooperate to understand them.