Microsoft Research Paper

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Fortunately, recent advances in context recognition and behavior analysis are creating an opportunity to transform our approach to many health conditions.

By combining wearable physiological sensors with advanced algorithms, our group seeks to derive unprecedented levels of insight from continuous, ambulatory health data.

Miah has a Ph D in Bioengineering from the University of Washington.

Becky has extensive experience in biomedical signal processing and modeling.

Sumit has a Ph D in Electrical Engineering and Computer Science from MIT.

Gabe has developed many new sensing modalities for human-computer interaction and medical applications.

In her past work she has developed sensing technologies for model-based estimation of respiratory parameters from capnography, which can be used for the diagnosis and monitoring of CHF and COPD with broadly available sensors.

Becky has a Ph D in Electrical Engineering and Computer Science from the Masachusetts Institute of Technology.

Scott has focused on sensors and analytics techniques that harness the untapped bandwidth of the human body for physiological interfaces to computing.

Scott received an MIT Technology Review Young Innovators award for his work using electromyography on the upper forearm to detect detailed finger movement.


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