Fortunately, researchers at the University of New South Wales have developed a device which might help to identify those at greatest risk of falling. The latest incarnation of the device , for which I have coined the name, ‘dodderimeter’, measures acceleration along each of the x, y and z space axes and then uses a combination of frequency-domain and time-domain analyses of the signals to predict the likelihood of a fall. It might even become as ubiquitous as the Holter monitor.
 Liu, Y., Redmond, S., Wang, N., Blumenkron, F., Narayanan, M., Lovell, N. (2011). Spectral Analysis of Accelerometry Signals from a Directed-Routine for Falls-Risk Estimation. IEEE Transactions on Biomedical Engineering, 99, 1. doi: 10.1109/TBME.2011.2151193. [PubMed]