How Wearable Wrist Temperature Predicts Ovulation

In this episode of The Wearable Tech Podcast, Lucas and Luna explore how wrist-based temperature sensors in smartwatches and fitness trackers are becoming a reliable method for predicting ovulation. They discuss the science of skin temperature tracking, the accuracy compared to traditional basal body temperature methods, and how companies like Apple and Oura are integrating this feature. Lucas explains the difference between 'sleep temperature' and 'waking temperature' algorithms, and why continuous tracking beats single-point measurement. Luna shares data from a 2024 Stanford study showing 89% accuracy in ovulation window detection using wrist temperature. They also touch on privacy concerns and the growing market for fertility wearables, projected to reach $2.3 billion by 2030. A concrete, data-driven look at how a simple sensor is giving women more control over their reproductive health. #WearableTech #FertilityTracking #OvulationPrediction #WristTemperature #Smartwatch #OuraRing #AppleWatch #BasalBodyTemperature #Femtech #HealthTech #StanfordStudy #WearableSensor #ReproductiveHealth #TemperatureTracking #CycleTracking #Technology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo