White Papers and Case Studies
The following White Papers and Case Studies are presented as detailed examples of what can be done with the Sovrin IOT system. All data presented is real. We've thought of lots of things to analyze and reasons why it matters in the real world, but we need your help to tell us your needs and why it matters to you. Please review these papers and tell us what we are missing using the FEEDBACK form. If you can add to our "Why it matters" by saying "Why it matters to you" we will add it here. If you have a specific case you are interested in and don't see it here, we will attempt to address it from the pilot population we have and let you know when it's posted here.
Physiological Activity Monitoring
Why it matters: There are a significant number of identified health issues that are predicated by changes in various physical or physiological indicators. Examples include: Increased bathroom visits due to a urinary tract infection (UTI); Day/Night confusion for individuals with dementia; Changes in sleep habits or sleep duration for COPD flair ups; changes in sleeping or eating behavior for depression.
Mobility Assessment and Individual Activity Detection
Why it matters: “Mobility and Movement” is one of the eight Grand Challenges identified by Aging 2.0 in their 2017 global initiative to drive collaborations for the aging community. Short term changes in movement patterns may indicate the onset of a new health issue. Long term trends in mobility may provide predictive changes to care needs or increased safety concerns, or can be used to quantify recovery rates from surgery or illness. Increases in wandering may indicate onset or progression of dementia. Correlated movement between individuals in a senior care facility could be used to verify caregiving metrics or identify isolated social behavior.
Short Term, Mid-Term, Long Term Trends
Why it matters: When you ask an aging parent “How are you feeling?”, a typical response is “I’m fine.” Wouldn't it be nice to get a translation of “I’m fine” into: “Your mother didn’t sleep well last night and over the past 4 days has not been as active, is spending more time in bed, and is using the restroom frequently.” Wouldn’t it be nice if the paid home care provider had the same information before their weekly visit so they could follow up with specific questions to address a potential health concern before "I'm fine" becomes “I told you I wasn’t feeling well”.
Making existing appliances Smart Appliances
Why it matters: Appliance use in a home provides a direct indicator of healthy living patterns. Refrigerator and stove or oven correlation indicates food preparation and eating patterns. Cleanliness is indicated by hot water usage, or dishwasher and laundry machine use. Increases in TV usage may indicate depression or social isolation. Night time appliance use may indicate day night confusion.