Figure 4 Complementary Cumulative Distribution Function: 1) Sleep mode current, 2) Display result current, 3) BP measurement current, 4) BP cuff pump peak current. Markers show that 7.7% of the datalog record was spent drawing more than 100mA.
With the explosion of medical device types and volumes comes the need to better understand and design reliably optimized battery life for your BPMD. The traditional method leaves test challenges for the designer to measure the impact of dynamic and transient power needs, as well as in providing guidance where the designer should focus their effort to optimize the battery life of their BPMD. With the new integrated approach, the designer need not spend weeks developing a measurements system to measure energy consumption of their BPMD. Because of advancements in SMU technology like seamless ranging, and new ways to analyze one’s design (i.e., CCDF), one can more easily and confidently optimize the battery life of one’s BPMD. Agilent’s Battery Drain Solution (composed of an N6705B DC power Analyzer, an N6781A Source Measurement Unit (SMU) with seamless ranging, and the 14585A Control and Analysis software – Figure 5) was used to make measurements in Figures 2, 3, and 4.
Figure 5 Agilent’s Battery Drain Solution, and blip, the world’s first Wi-Fi Blood Pressure Monitor System