HealthGear: a real-time wearable system for monitoring and analyzing physiological signals

By Nuria Oliver, F. Flores-Mangas. International Conference on Wearable and Implantable Body Sensor Networks, 2006

308 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis (2010, background): “Phones: The first example in this category is HealthGear from Microsoft [50].”
SGX-LKL: Securing the Host OS Interface for Trusted Execution (2019, methodology): “ivious disk I/O, SGXLKL uses an encrypted ext4 ﬁle system with shufﬂed disk blocks. We show that SGX-LKL protects TensorFlow training with a 21% overhead. 1 Introduction In domains such as healthcare [3,73,107] and ﬁnance [20,53], it is challenging to run sensitive workloads in public cloud environm”
Sensor Positioning for Activity Recognition Using Wearable Accelerometers (2011, background): “Another limitation is that accelerometers alone may not be enough to provide sufficient contextual information and they need to be combined with other sensors, such as microphones [15], gyroscopes [16]–[18], and electrocardiogram (ECG) sensors [19] to provide more accurate activity classification.”
Smart wearable systems: Current status and future challenges (2012, methodology): “This analysis is done using moteView software and generates alerts for medical professionals, caretakers and emergency medical department personnel [125].”