Joshua Harvey - Academia.edu (original) (raw)
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Papers by Joshua Harvey
2013 39th Annual Northeast Bioengineering Conference, 2013
The AAGILE is a device designed to reinforce a healthy daily regimen for those who choose to live... more The AAGILE is a device designed to reinforce a healthy daily regimen for those who choose to live independently, especially those with diminishing cognitive or physical functions. The device does so by setting goals, providing personalized interactive reminder messages, and monitoring daily activity in 5-minute increments. The purpose of this study is to minimize the overall device size and footprint of the motherboard, further develop the functions of the AAGILE and test the overall health benefits with respect to different physical and cognitive limitations and in comparison to different commercially available monitoring devices.
Photoplethysmographic (PPG) waveforms are used to acquire pulse rate (PR) measurements from pulsa... more Photoplethysmographic (PPG) waveforms are used to acquire pulse rate (PR) measurements from pulsatile arterial blood volume. PPG waveforms are highly susceptible to motion artifacts (MA), limiting the implementation of PR measurements in mobile physiological monitoring devices. Previous studies have shown that multichannel photoplethysmograms can successfully acquire diverse signal information during simple, repetitive motion, leading to differences in motion tolerance across channels. In this paper, we investigate the performance of a custom-built multichannel forehead-mounted photoplethysmographic sensor under a variety of intense motion artifacts. We introduce an advanced multichannel template-matching algorithm that chooses the channel with the least motion artifact to calculate PR for each time instant. We show that for a wide variety of random motion, channels respond differently to motion artifacts, and the multichannel estimate outperforms single-channel estimates in terms of motion tolerance, signal quality, and PR errors. We have acquired 31 data sets consisting of PPG waveforms corrupted by random motion and show that the accuracy of PR measurements achieved was increased by up to 2.7 bpm when the multichannel-switching algorithm was compared to individual channels. The percentage of PR measurements with error ď 5 bpm during motion increased by 18.9% when the multichannel switching algorithm was compared to the mean PR from all channels. Moreover, our algorithm enables automatic selection of the best signal fidelity channel at each time point among the multichannel PPG data.
2013 39th Annual Northeast Bioengineering Conference, 2013
The AAGILE is a device designed to reinforce a healthy daily regimen for those who choose to live... more The AAGILE is a device designed to reinforce a healthy daily regimen for those who choose to live independently, especially those with diminishing cognitive or physical functions. The device does so by setting goals, providing personalized interactive reminder messages, and monitoring daily activity in 5-minute increments. The purpose of this study is to minimize the overall device size and footprint of the motherboard, further develop the functions of the AAGILE and test the overall health benefits with respect to different physical and cognitive limitations and in comparison to different commercially available monitoring devices.
Photoplethysmographic (PPG) waveforms are used to acquire pulse rate (PR) measurements from pulsa... more Photoplethysmographic (PPG) waveforms are used to acquire pulse rate (PR) measurements from pulsatile arterial blood volume. PPG waveforms are highly susceptible to motion artifacts (MA), limiting the implementation of PR measurements in mobile physiological monitoring devices. Previous studies have shown that multichannel photoplethysmograms can successfully acquire diverse signal information during simple, repetitive motion, leading to differences in motion tolerance across channels. In this paper, we investigate the performance of a custom-built multichannel forehead-mounted photoplethysmographic sensor under a variety of intense motion artifacts. We introduce an advanced multichannel template-matching algorithm that chooses the channel with the least motion artifact to calculate PR for each time instant. We show that for a wide variety of random motion, channels respond differently to motion artifacts, and the multichannel estimate outperforms single-channel estimates in terms of motion tolerance, signal quality, and PR errors. We have acquired 31 data sets consisting of PPG waveforms corrupted by random motion and show that the accuracy of PR measurements achieved was increased by up to 2.7 bpm when the multichannel-switching algorithm was compared to individual channels. The percentage of PR measurements with error ď 5 bpm during motion increased by 18.9% when the multichannel switching algorithm was compared to the mean PR from all channels. Moreover, our algorithm enables automatic selection of the best signal fidelity channel at each time point among the multichannel PPG data.