2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2008
DOI: 10.1109/iembs.2008.4649398
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Wireless On-Body-Network breathing rate and depth measurement during activity

Abstract: This paper describes a method of detecting and analyzing breathing rate and approximate depth during physical activity in a Bluetooth Wireless On-Body-Network (OBN) in the context of a Spinal Cord Injured patient. Conventional signal processing techniques and sensor fusion through a Linear Kalman Filter will be used to fuse signals from a piezoelectric breathing band and two tri-axis accelerometers. Results will show that the proposed method provides very accurate measurements of breathing rate and depth at re… Show more

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Cited by 5 publications
(7 citation statements)
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“…A Body Area Network comprised of several wireless sensors that communicate via Bluetooth is proposed by Khoo et al [14]. The proposed structure also incorporates a primary sensor unit that is responsible of pre-processing acquired data before sending the processed data to a central unit.…”
Section: B Processed Data Transmission Scenario (Pdts)mentioning
confidence: 99%
See 1 more Smart Citation
“…A Body Area Network comprised of several wireless sensors that communicate via Bluetooth is proposed by Khoo et al [14]. The proposed structure also incorporates a primary sensor unit that is responsible of pre-processing acquired data before sending the processed data to a central unit.…”
Section: B Processed Data Transmission Scenario (Pdts)mentioning
confidence: 99%
“…For the system proposed by Khoo et al, which fits the PDTS scenario, we want to free the patient from the constraint of proximity to the PC base station [14]. Figure 1 summarizes an example application where our WSN system bridges the physical gap between the patient and the PC base station.…”
Section: A Introductionmentioning
confidence: 99%
“…For example, monitoring electrocardiogram (ECG) activities is usually performed by one single sensor [1] [2], whereas breathing rate and depth (volume) can be measured combining a piezoelectric breathing band and two tri-axis accelerometers [3]. Due to their reliability and costeffectiveness, accelerometers are the mostly implemented sensors to detect activities and behavior.…”
Section: State Of the Artmentioning
confidence: 99%
“…To solve this multidimensional research problem we take into consideration several earlier approaches. Related research has been conducted from HR measurement, audience and technical point of views (Khoo et al, 2008;Armstrong, 2007). Based on earlier studies mobile devices can be used to enhance audience experience during sport events (Nilsson, 2007).…”
Section: Related Workmentioning
confidence: 99%