Capturing Heart Rate for Physiological Computing

In the following post I describe some methods and tools for capturing a persons heart rate for the usage in physiological computing/biosensing applications. It represents some of the research I conducted during for my master’s thesis, which deals with technologies providing autonomic feedback. The focus in this case was on simplicity of access in the context of mobile and wearable applications, not maximum preciseness of the data (such as might be a requirement for a laboratory environment or in a medical context). It describes approaches using two widespread methods: ECG/EKG-based and pulse oximetry-based measurements.

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