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| Name | Class |
|---|---|
| University Hospital, Zürich | OTHER |
| Centre Suisse d'Electronique et de Microtechnique (CSEM), Switzerland | UNKNOWN |
| Empa, Swiss Federal Laboratories for Materials Science and Technology | OTHER |
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Research results suggest changes of physiological parameters such as heart rate, respiration, skin conductance response, sleep duration, sleep quality and skin perfusion during the menstrual cycle. Latest fitness trackers allow to conveniently and non-invasively record these parameters. The present study aims to evaluate whether there is a correlation between physiological parameters and the menstrual cycle i.e. ovulation as measured by a urine ovulation test and the onset of menses. To collect data women will wear two smartwatches and a smartshirt at night. All three devices are CE-approved for sports and fitness.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Participants wear a sensor bracelet for collecting physiological data and conducted urine tests to estimate the day of ovulation | Device |
| Measure | Description | Time Frame |
|---|---|---|
| Correlation between menstrual cycle dynamics and physiology | Correlation between a combination of the physiological parameters heart rate, respiration, skin conductance response, sleep duration, sleep quality and skin perfusion and menstrual cycle dynamics. | During 1 menstrual cycle between 24 days and 35 days |
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Inclusion Criteria:
Exclusion Criteria:
The monitoring of menstrual cycles requires female participants.
A maximum of 50 healthy, 20-40 years old, non-pregnant women will be included in the study.
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