Detecting medical status and cognitive impairment utilizing ambient data

A device for detecting changes to verbal cadence, the device comprising:

• one or more sensors operably coupled to a primary monitoring device (“PMD”);
• the sensors comprising one or more of a microphone, a gyroscopic or non-gyroscopic device capable of measuring movement caused by sound waves;
• wherein the PMD monitors at least one of the sensors to detect the rhythmic and/or wave-like function (the “Cadence”) generated by a user's voice;
• comparing the Cadence with database data containing one or more of measurements of other persons;
• past measurements of the current user;
• projected measurements based on physiological characteristics of the user;
• or measurements of other users;
• and
• identifying a level of difference between the database data and the Cadence (the “Change”).

A device for detecting changes to a user's balance, comprising:

• one or more motion sensors operably coupled to a PMD;
• wherein the PMD is configured to monitor and save data from the sensors, where such data is consistent with a fall or other loss of balance (an “Episode”);
• determining whether a number of Episodes taking place over a set period of time exceed a threshold number;
• where the threshold number is different for different levels of magnitude of Episodes.