BigFoot: Analysis, monitoring, tracking and sharing of bio-medical features of human appendages using consumer-grade home and office based imaging devices
نویسندگان
چکیده
Here we describe a system for personal and professional management and analysis of bio-medical images captured using off-the-shelf, consumer-grade imaging devices such as scanners, digital cameras, cellphones, webcams and tablet PCs. Specifically, we describe an implementation of this system for the analysis, monitoring and tracking of conditions and features of human feet using a flatbed scanner as the image capture device and a custom-designed set of algorithms and software to manage and analyze the acquired data. Background and Motivation There are various medical conditions that manifest themselves either directly or indirectly as visible features on the human body, e.g., on the feet or arms. As such, effective monitoring and tracking of such superficial features can be of utmost importance as an indirect (and sometimes direct) method of tracking the progression of the underlying medical condition. As an example, diabetes, especially in elderly individuals, can lead to significant visible damage on the surface of e.g., the feet.[1-4] Furthermore, individuals experiencing such conditions are not always aware of the extent and even the existence of the damage and on most occasions they find out about it during visits to the doctor’s office or a point-of-care clinic. Given that such trips may not always occur with sufficient frequencies, it might be the case that significant damage can go undetected and untreated for long periods of time. Therefore, a cost-effective and easy-to-use method for the monitoring, tracking and sharing of the condition of the feet (or other human appendages) at home or point-of-care offices is extremely desirable.
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عنوان ژورنال:
- CoRR
دوره abs/1212.0992 شماره
صفحات -
تاریخ انتشار 2012