title: Diagnostic quality driven physiological data collection for personal healthcare.
abstract: We believe that each individual is unique, and that it is necessary for diagnosis purpose to have a distinctive combination of signals and data features that fits the personal health status. It is essential to develop mechanisms for reducing the amount of data that needs to be transferred (to mitigate the troublesome periodically recharging of a device) while maintaining diagnostic accuracy. Thus, the system should not uniformly compress the collected physiological data, but compress data in a personalized fashion that preserves the 'important' signal features for each individual such that it is enough to make the diagnosis with a required high confidence level. We present a diagnostic quality driven mechanism for remote ECG monitoring, which enables a notation of priorities encoded into the wave segments. The priority is specified by the diagnosis engine or medical experts and is dynamic and individual dependent. The system pre-processes the collected physiological information according to the assigned priority before delivering to the backend server. We demonstrate that the proposed approach provides accurate inference results while effectively compressing the data.
authors.affiliation: University of California, Los Angeles, USA.
authors.forename: David
authors.initials: D
authors.lastname: Jea
authors.forename: Rahul
authors.initials: R
authors.lastname: Balani
authors.forename: Ju-Lan
authors.initials: JL
authors.lastname: Hsu
authors.forename: Dae-Ki
authors.initials: DK
authors.lastname: Cho
authors.forename: Mario
authors.initials: M
authors.lastname: Gerla
authors.forename: Mani B
authors.initials: MB
authors.lastname: Srivastava
mesh_terms: D000465:Algorithms; D020811:Biomedical Technology / Q000295:instrumentation; D015374:Biosensing Techniques / Q000295:instrumentation*; D003195:Computer Communication Networks / Q000295:instrumentation* / Q000458:organization & administration; D003201:Computers; D034201:Computers, Handheld; D003936:Diagnosis, Computer-Assisted / Q000295:instrumentation* / Q000379:methods; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D018670:Monitoring, Ambulatory / Q000295:instrumentation*; D008991:Monitoring, Physiologic / Q000295:instrumentation; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D017216:Telemedicine / Q000295:instrumentation*; D014584:User-Computer Interface