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Commodity Biomedical Sensors - What's Practical Now?

Low cost pervasive sensors are now available and the data feeds can be analyzed with algorithms to create new physiological capabilities. The algorithms have to cope with lots of noise, however, in order to obtain practical results.


In a recent presentation at the IEEE Signal Processing in Medicine and Biology Symposium, we described some emerging sensors that operate in non-invasive, low-cost manner and are widely available. There are opportunities to apply algorithms to voice recordings, for example, for early diagnostic warnings of heart disease or Parkinson's Disease, PTSD detection and other neurological problems. All of these signal types can be useful, but only when they are properly filtered and interpreted. We discussed ECG and PPG sensors for cardiology in particular and showed how advanced algorithms can bring insight from what appears to be a jumble of noise.


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