The capacity to quantify gait in autonomous scenarios may substantially alleviate the rampant strain on limited, scarce, and highly specialized medical resources. A strategy for enabling application autonomy, for which the subject may reside at a remote distant from the clinical resources, has been demonstrated through the research, development, test, and evaluation of wireless accelerometers for gait analysis. An approach for maximizing accuracy and reliability has been demonstrated through the selection of a predetermined anatomical mounting position relative to the human anatomy. Wireless accelerometer systems have presented quantified disparity for the gait of hemiparetic subjects. For the quantification of hemiparetic gait, the selected mounting positions were the lateral epicondyle of the femur and also the lateral malleolus [1].

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