Systems and methods for detecting cognitive decline with mobile devices

A computer-implemented method for detecting cognitive decline of a subject, the method comprising:

• receiving passively obtained data recorded by at least one mobile device of the subject over an observation period of multiple days, the passively obtained data comprising at least one of (i) a time-of-day (ToD) of first-observed subject movement for each day in the observation period, (ii) a ToD of first-observed subject pace for each day in the observation period, (iii) a ToD of last-observed subject movement for each day in the observation period, and (iv) a ToD of last-observed subject pace for each day in the observation period;
• processing the passively obtained data to generate digital biomarker data;
• analyzing the digital biomarker data to determine whether the subject is experiencing cognitive decline;
• and
• generating a user notification to at least one of the subject and another use regarding the results of the determination.

A computer-implemented method for detecting cognitive decline of a subject, the method comprising:

• receiving passively obtained data recorded by at least one mobile device of the subject over an observation period of multiple days, the passively obtained data comprising data regarding observed stride lengths of the subject;
• processing the passively obtained data to generate digital biomarker data;
• analyzing the digital biomarker data to determine whether the subject is experiencing cognitive decline;
• and
• generating a user notification to at least one of the subject and another user regarding the results of the analysis.

A computer-implemented method for detecting cognitive decline of a subject, the method comprising:

• receiving passively obtained data recorded by at least one mobile device of the subject over an observation period of multiple days, the passively obtained data comprising data regarding a number of exercise bouts during the observation period;
• analyzing the passively obtained data to determine whether the subject is experiencing cognitive decline;
• and
• generating a user notification to at least one of the subject and another user regarding the results of the analysis.

A computer-implemented method for detecting cognitive decline of a subject, the method comprising:

• receiving passively obtained data recorded by at least one mobile device of the subject over an observation period of multiple days, the passively obtained data comprising data regarding a number of times the subject viewed a mobile clock application for telling time on the at least one mobile device, wherein each time the subject viewed the mobile clock application is associated with a viewing duration;
• processing the passively obtained data to generate digital biomarker data;
• analyzing the passively obtained data to determine whether the subject is experiencing cognitive decline;
• and
• generating a user notification to at least one of the subject and another user regarding the results of the analysis.

A computer-implemented method for detecting cognitive decline of a subject, the method comprising:

• receiving passively obtained data recorded by at least one mobile device of the subject over an observation period of multiple days, the passively obtained data comprising data characterizing the manner in which the user types while composing outgoing messages sent by the communication device;
• processing the passively obtained data to generate digital biomarker data;
• analyzing the digital biomarker data to determine whether the subject is experiencing cognitive decline;
• and
• generating a user notification to at least one of the subject and another user regarding the results of the analysis.

A computer-implemented method for detecting cognitive decline of a subject, the method comprising:

• receiving passively-obtained time-series data of one or more user activities recorded by at least one mobile device of the subject over an observation period of multiple days;
• processing the passively obtained time-series data using a frequency analysis to convert the time-series data into a frequency power spectrum;
• calculating an amount of spectral energy in the frequency power spectrum between a first frequency threshold and a second frequency threshold;
• generating digital biomarker data based on the calculated amount of spectral energy;
• analyzing the digital biomarker data to determine whether the subject is experiencing cognitive decline;
• and
• generating a user notification to at least one of the subject and another user regarding the results of the analysis.