Creating information automatically without burdening patients
"Data from a Smart Home system would be a tremendous advantage over the anecdotal and unreliable data we get from those of our patients who are not successful in taking medical device readings daily, and those who report inaccurately." Veterans Affairs Director of Surgery and Perioperative Care

EmPowerYu is a proprietary software platform that integrates Internet of Things (IoT) hardware from multiple manufacturers and creates a holistic and quantified view of daily life in the home. We use behavioral state modeling and an inference engine to understand the personal patterns of daily life for people who are not successfully monitored by other technologies. Our strategic sensor placement enables us to work in any floorplan, from studio apartments to multistory homes. Our automated data collection means we get 100% participation rates from people who are noncompliant with other technologies, whatever the reason.

Designing the Smart Home to support healthcare

Home security and home automation sensors automatically collect event data as patients go about their normal daily routines - like the use of the coffee pot, or timing and amount of activity in specific rooms like the bedroom or kitchen. EmPowerYu's algorithms use the sparse event data to detect essential patterns of daily life. We quantify the duration, timing, and distribution of events around eating, sleeping, activity, and use of devices, including medical devices and entertainment devices like a TV. Number-based descriptions allow us to run analytics on these daily events.

 

A family member knows that "when Grandpa misses his 9 am cup of coffee, there is a problem". So do we. We also know how much activity is normal for Grandma - we are like a FitBit for the home that can report whether she is active throughout the day, or is suddenly sitting all afternoon. We can see when Grandma's kitchen score shows that she is eating fewer and simpler meals, and check for food insecurity.

We have two awarded patents for adaptive indirect monitoring.

How lifestyle context improves medical care
 

Medical device readings are a snapshot in physiological time. Clinicians have learned a lot about how readings change under different environmental conditions, and care decisions would greatly benefit from knowing the lifestyle context of home medical device readings. For example:

  • Blood pressure readings are affected by activity level before the measurement, so people are asked to sit quietly for 5-10 minutes before taking a baseline reading.

  • Blood glucose readings are directly related to the food eaten, activity level, and time since the last meal.

  • False alarms related to weight gain or loss are common because of differences in day-to-day weight changes related to clothing, meals, and toileting.

EmPowerYu and Omdena AI collaborated on making short term weight scale analysis more reliable. Omdena used sensor fusion of weight scale data with EmPowerYu daily lifestyle data, and a neural network approach, to identify whether weight readings were consistent with a prediction based on previous weights and current circumstances. The goal is to detect body weight changes quickly for early detection and proactive intervention in congestive heart failure episodes, or to reach out to dementia and oncology patients. By using a cellular weight scale and EmPowerYu's passive system, the only effort the patient makes is stepping on and off a familiar looking scale.

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Security

 

Security is a high priority, starting in the patient's home. Sensor data is encrypted from the home to our HIPAA-compliant servers. Patient data is stored separately from personally identifying information. No data is downloaded when the web-based dashboard is viewed, to remove the risk of patient data exposure by mobile devices. We do not share data with any entity except patient-authorized providers and family members. Data is not used for any marketing purpose.

Flexibility and adaptability of an open platform

 

Technology changes very quickly, and EmPowerYu is ready to adapt. We choose the best available sensors to get the needed data, whereas competitors try to find applications for their own hardware.  EmPowerYu's ecosystem is flexible and future-ready; it can incorporate new devices or new generations of devices as they become available.  This design gives users and care providers the freedom to change or expand the hardware, including the potential for bring-your-own medical devices, while maintaining the power of a continuous data set.

Fall and stroke detection

 

EmPowerYu tracks inactivity and lack of expected activity, and can alert caregivers that a disabling problem may have occurred, such as a fall, a stroke, or an inability to get out of bed. Because EmPowerYu does not use cameras or other devices that watch a person constantly, it ​is not an emergency response system. For people who are willing and able to use it, a Personal Emergency Response system may provide additional reassurance.