Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: To measure pulse transit times (PTT) and calculate pulse wave velocities (PWV), tri-axial and uniaxial accelerometers re placed in groups of 2 to 4 over the manubrium, xiphoid process, forehead, wrist and ankle, and/or over the carotid, femoral, and posterior auricular arteries in 11 consented supine subjects. Signals re sampled at 1kHz and filtered. Radial vectors re calculated from the tri-axial measurements. A 3-lead ECG was simultaneously collected over the same 180s window, as ll as respiratory rate. Ensemble averages (with ±S.D.) and raster plots re generated for each filtered time series from 200 ms before to 800 ms after the peak of each ECG R-wave. Lag times beten the R-wave peak (taken as t=0) and one or more prominent peaks (or valleys if appropriate) of the various accelerometer signals re calculated, by using the signal from the axis (or the radial vector) with the best signal to noise ratio. PWV was calculated from the regression of the distance measured versus the PTT beten pairs, especially of the clinically-relevant carotid-femoral PTT. A spectral analysis of each ensemble was taken, with the hypothesis that in young adults the measures at the periphery would have less energy at higher frequencies than those of an older adult because of age-related changes in arterial distensibility.
['Natalie Kurgan Canino', 'Ruisheng Rick Wang', 'Charles J. Robinson']
I am writing a research paper on a idea Using multiple placements of accelerometers to measure cardiovascular pulse transit times
[{"from": "human", "value": "I am writing a research paper on a idea Using multiple placements of accelerometers to measure cardiovascular pulse transit times"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: To measure pulse transit times (PTT) and calculate pulse wave velocities (PWV), tri-axial and uniaxial accelerometers re placed in groups of 2 to 4 over the manubrium, xiphoid process, forehead, wrist and ankle, and/or over the carotid, femoral, and posterior auricular arteries in 11 consented supine subjects. Signals re sampled at 1kHz and filtered. Radial vectors re calculated from the tri-axial measurements. A 3-lead ECG was simultaneously collected over the same 180s window, as ll as respiratory rate. Ensemble averages (with \u00b1S.D.) and raster plots re generated for each filtered time series from 200 ms before to 800 ms after the peak of each ECG R-wave. Lag times beten the R-wave peak (taken as t=0) and one or more prominent peaks (or valleys if appropriate) of the various accelerometer signals re calculated, by using the signal from the axis (or the radial vector) with the best signal to noise ratio. PWV was calculated from the regression of the distance measured versus the PTT beten pairs, especially of the clinically-relevant carotid-femoral PTT. A spectral analysis of each ensemble was taken, with the hypothesis that in young adults the measures at the periphery would have less energy at higher frequencies than those of an older adult because of age-related changes in arterial distensibility."}]