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Innovative Application Development for Ubiquitous and Wearable Computing

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6.6.  Iterate: Heart-Rate Detection with Radar 95 d HR: radar   HR: oxim.   rel. err   std err 5cm 83.28 83.61 2% 1% 10cm 95.90 92.66 8% 8% 4% 39 back chest left side chest right side arm femoral (a) Body Placements placement   rel. err.   std. dev. arm 1% 1% femoral 3% 2% side l 0cm 4% 3% side l 5cm 9% 7% side r 0cm 6% 5% back 13% 9% (b) Measurements Results Figure 6.7:  A  subject’s  heart-rate  is  measured  at  di erent  body  placements  by radar over a time-interval of 30 seconds (a).  These radar hear-rate measurements are compared with simultaneously taken oximeter measurements as a reference.  Then, relative error (rel.  err.)  and standard deviation (std.  dev.)  are calculated (b). second column shows the oximeter results. The third and fourth column show the mean and standard deviation of the relative error comparing radar with oximeter measurements. Though radar measurements are obviously less accurate than oxime- ter measurements it is an interesting result that even at distance of 15cm the relative error is in a range of 5%. Radar has the important ability of reporting reasonable heart-rate measurements from a greater distance of the test person. In contrast to that, if an oximeter or ECG chest strap is moved away for some millimeters it cannot report any meaningful results anymore. This opens the space for radar heart-rate detection to support applications were sensors can get ripped o  but measurements, even with less quality, are still important. Placement Study We also tested di erent placements of the radar at a test person’s arm, femoral, left and right side, at the height of the chest, and at the back. Figure  6.7  shows  the  results  of  the  placement  study.   It  is  remarkable  that  the
  
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von Helmut Köhler
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