A research paper published this week lists Eli Lilly,appleCompany and Evidation Health researchers. The paper, called "Measures to Develop Real-World Cognitive Disabilities from Consumer Multi-Mode Sensor Streams," explores whether sensor data and activity information for smart watch devices can be used for "physiological and behavioral characteristics of cognitive impairment."
Because of wearable consumer devices and mobile computing platforms (smartMobile phoneThe ubiquity of smart watches, tablets, and technological advancements, as well as the variety of sensor modes available, enable continuous monitoring of patients and their daily activities. This rich vertical information can be exploited for the physiological and behavioral characteristics of cognitive impairment, and a new approach for detecting MCI is provided in a timely and cost effective manner.
In this work, we provide a platform to remotely and unobtrusively monitor symptoms associated with cognitive impairment using several consumer-grade smart devices. We show how the platform was used to collect a total of 16TB of data in the Lilly Exploratory Digital Assessment Study, a 12-week feasibility study that monitored 31 people with cognitive impairment and 82 in free living conditions. People without cognitive impairment. We describe the prudent data unification, how time alignment and imputation techniques deal with the missing data rates inherent in real-world environments, and ultimately show the utility of these different data in distinguishing between symptoms and health controls based on characteristics computed purely from device data.
According to the abstract, these companies monitored 31 people with cognitive impairment and 82 people without cognitive impairment over a 12-week period, collecting 16 TB of data. The study claims that the data can be used to distinguish between people with early symptoms of cognitive impairment and healthy people.
People with cognitive decline symptoms are slower to input, have fewer typing, rely more on supporting applications, and send fewer text messages. The study did not draw long-term conclusions due to the need for more analysis.
In a statement to CNBC, Evidation co-founder Christine Lemke said that fromiPhoneData collected by the Apple Watch and Beddit sleep monitors were used for this study. In 2017, Apple acquired a device manufacturer that developed the Beddit sleep monitor.
“Through this study, we analyzed daily behavioral data, such as data captured by the iPhone, Apple Watches, and Beddit sleep monitors, how to effectively distinguish between mild cognitive impairment and early Alzheimer's patients as well as asymptomatic patients.”
Early detection of dementia is important because early diagnosis can better control symptoms and improve quality of life, even if disease progression cannot stop. According to the World Health Organization, 50 million people worldwide suffer from dementia, and nearly 10 million new cases occur each year.