Systems and Methods for Wearable Health Monitoring

• US 20160331315A1
• Filed: 03/04/2016
• Published: 11/17/2016
• Est. Priority Date: 05/14/2015
• Status: Abandoned Application

• Current Assignee: Abraham Carter, David Scott, Ehsan Azarnasab
• Original Assignee: Abraham Carter, David Scott, Ehsan Azarnasab
• Inventors: Carter, Abraham, Scott, David, Azarnasab, Ehsan
• Application Number:
  US15/061,528
• Publication Number:
  US 20160331315A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/4809 Sleep detection, i.e. determining whether a subject is asleep or not
• CPC Class Codes: A61B 5/6801 specially adapted to be attached to or worn on the body surface
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

Aspects of the present invention relate to recording physiological data sequences while a user participates in various activities. These activities may comprise awake activities, periods of sleep and transitions between sleep and activity. Record sequences are recorded and maintained for a period of time including many cycles of activity. The physiological activity data sequences may then be analyzed to identify trends that lead up to specific events that have occurred. The physiological data may also be compared to known trends to alert a user to trends that may lead to adverse events. Some embodiments comprise physiological sequence records that document multiple sleep and activity cycles over an extended period of time.

Claims

1. An apparatus for physiological characteristic monitoring during a sequence of sleep and activity, said apparatus comprising:

a wearable component comprising,

a physiological sensor for measuring a physiological characteristic of a wearer,

an accelerometer for measuring wearer activity, and

a wearable component wireless transceiver;

a mobile device comprising,

a processor and a memory, and

a mobile device wireless transceiver;

wherein said physiological sensor makes a plurality of physiological characteristic measurements;

wherein said wearable component transmits said measurements to said mobile device using said wireless transceivers;

wherein said mobile device records said plurality of measurements;

wherein said mobile device analyzes said plurality of measurements to identify periods of sleep, periods of activity and transition periods between sleep and activity for a plurality of cycles to create physiological sequence records and to identify physiological events; and

wherein said mobile device analyzes said physiological sequence records to identify trends leading up to said events.

2. The apparatus of claim 1 wherein said mobile device further uses said trends and said events to determine the probability of reoccurrence of said events.

3. An apparatus for physiological characteristic monitoring, said apparatus comprising:

a wearable component comprising,

a physiological sensor for measuring a physiological characteristic of a wearer,

an accelerometer for measuring wearer activity, and

a wearable component wireless transceiver;

a mobile device comprising,

a processor and a memory,

a display, and

a mobile device wireless transceiver; and

a database comprising,

a record of historical physiological characteristic data correlated with events;

wherein said physiological sensor makes a plurality of physiological characteristic measurements;

wherein said wearable component transmits said measurements to said mobile device using said wireless transceivers;

wherein said mobile device records said plurality of measurements; and

wherein said mobile device compares said plurality of measurements to said record of historical physiological characteristic data to determine the probability of reoccurrence of one or more of said events.

4. The apparatus of claim 3 wherein said mobile device further alerts a user of an impending event when said probability of reoccurrence is high.

5. The apparatus of claim 3 wherein said database is located at an off-body computing device.

6. An apparatus for physiological characteristic monitoring, said apparatus comprising:

a wearable component comprising,

a physiological sensor for measuring a physiological characteristic of a wearer,

an accelerometer for measuring wearer activity, and

a wearable component wireless transceiver;

a mobile device comprising,

a processor and a memory,

a display, and

a mobile device wireless transceiver; and

an off-body computing device comprising,

a processor and memory,

a storage device,

an off-body device wireless transceiver, and

a record of historical physiological characteristic data correlated with events;

wherein said physiological sensor makes a plurality of physiological characteristic measurements;

wherein said wearable component transmits said measurements to said mobile device using said wireless transceivers;

wherein said mobile device transmits said measurements to said off-body computing device;

wherein said off-body computing device records said plurality of measurements; and

wherein said off-body computing device compares said plurality of measurements to said record of historical physiological characteristic data to determine the probability of reoccurrence of one or more of said events.

7. A method for physiological characteristic monitoring, said method comprising:

measuring a physiological characteristic of a wearer with a wearable component comprising,

a physiological sensor for measuring said physiological characteristic of a wearer,

an accelerometer for measuring wearer activity, and

a wearable component wireless transceiver;

measuring wearer activity data with said accelerometer;

sending said physiological characteristic and said wearer activity data to a mobile device, said mobile device comprising,

a processor and a memory,

a display, and

a mobile device wireless transceiver;

sending said physiological characteristic and said wearer activity data from said mobile device to an off-body computing device comprising,

a processor and memory,

a storage device,

an off-body device wireless transceiver, and

a record of historical physiological characteristic data correlated with events;

recording said physiological characteristic and said wearer activity data at said off-body computing device; and

comparing said physiological characteristic and said wearer activity data to said record of historical physiological characteristic data correlated with events to determine the probability of reoccurrence of one or more of said events based on said physiological characteristic and said wearer activity data.