Optimize battery life for battery powered medical devices and wireless medical devices: Page 4 of 5

October 21, 2013 //By Mike Hawes
Optimize battery life for battery powered medical devices and wireless medical devices
Mike Hawes explains how the medical device industry is seeing an explosion in the number and type of mobile and wireless medical devices, and is ripe for a new approach to analyzing the energy requirements of your battery powered medical devices (BPMDs).
displaying its measured result. The CCDF view provides new insight into which functions of your design are drawing the most current and for how long, enabling you to focus design improvements on the parts of your design that drain the battery most quickly. By comparing the CCDF graphs of your designs iterations, one can quickly verify the efficiencies gained. The CCDF tool can also be used to compare different hardware and firmware releases, so you can document the impact of these changes on power consumption of your BPMD. The CCDF provides invaluable insight and confidence to reliably optimize the power consumption of your BPMD.

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


1 Patient

Design category: 

Vous êtes certain ?

Si vous désactivez les cookies, vous ne pouvez plus naviguer sur le site.

Vous allez être rediriger vers Google.