Paper Info
Title
Heart rate and blood pressure estimation from compressively sensed photoplethysmograph.
Abstract
In this paper we consider the problem of low power SpO2 sensors for acquiring Photoplethysmograph (PPG) signals. Most of the power in SpO2 sensors goes to lighting red and infra-red LEDs. We use compressive sensing to lower the amount of time LEDs are lit, thereby reducing the signal acquisition power. We observe power savings by a factor that is comparable to the sampling rate. At the receiver, we reconstruct the signal with sufficient integrity for a given task. Here we consider the tasks of heart rate (HR) and blood pressure (BP) estimation. For BP estimation we use ECG signals along with the reconstructed PPG waveform. We show that the reconstruction quality can be improved at the cost of increasing compressed sensing bandwidth and receiver complexity for a given task. We present HR and BP estimation results using the MIMIC database.
Year
DOI
Venue
2009
10.4108/ICST.BODYNETS2009.6023
BODYNETS
Keywords
Field
DocType
bp estimation result,heart rate,signal acquisition power,infra-red leds,power saving,bp estimation,reconstructed ppg waveform,receiver complexity,low power,spo2 sensor,blood pressure estimation,blood pressure,compressed sensing,matching pursuit
Matching pursuit,Photoplethysmogram,Computer science,Sampling (signal processing),Waveform,Electronic engineering,Bandwidth (signal processing),Blood pressure,Heart rate,Electrical engineering,Compressed sensing
Conference
Citations 
PageRank 
References 
3
0.88
6
Authors
2
Name
Order
Citations
PageRank
Pawan K. Baheti1405.18
Harinath Garudadri217123.32