Physiological characteristic determination based on signal correlation

• US 20150359491A1
• Filed: 11/04/2014
• Published: 12/17/2015
• Est. Priority Date: 09/29/2012
• Status: Abandoned Application

• Current Assignee: JB IP Acquisitions LLC
• Original Assignee: AliphCom, Inc. (AliphCom Corp.)
• Inventors: Luna, Michael Edward Smith, Primas, Sidney, Stivoric, John M., Savalia, Piyush, Panchalan, Prasad, Nabanja, Sheila, Cheng, Sylvia Hou-Yan, Mohammad, Ilyas, Sharma, Sumit, Singleton, Chris
• Application Number:
  US14/121,947
• Publication Number:
  US 20150359491A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/0245 by using sensing means generating electric signals, i.e. ECG signals
• CPC Class Codes: A61B 5/0533 Measuring galvanic skin response
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/6822 Neck
• CPC Class Codes: A61B 5/6823 Trunk, e.g., chest, back, abdomen, hip
• CPC Class Codes: A61B 5/6824 Arm or wrist
• CPC Class Codes: A61B 5/6831 Straps, bands or harnesses
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/7221 Determining signal validity, reliability or quality A61B5/7207 and A61B5/7217 take precedence
• CPC Class Codes: A61B 5/7225 Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation A61B5/30, A61B5/316 take precedence; transformers for specific applications H01F38/00; amplifiers H03F
• CPC Class Codes: A61B 5/7246 using correlation, e.g. template matching or determination of similarity
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence

Abstract

Embodiments relate generally to a wearable device implementing a touch-sensitive interface in a metal pod cover and/or bioimpedance sensing to determine physiological characteristics, such as heart rate. According to an embodiment, a method includes receiving an amplified signal including a portion of the physiological-related signal component including data representing a physiological characteristic, the amplified signal being derived from bioimpedance signal based on an impedance value of a tissue, and identifying a magnitude of a portion of the physiological-related signal component. Also, the method can compare the magnitude of the portion against another magnitude of a data model (e.g., in a time-domain) to form a matched value. Also, the method can determine a confidence indicator value representative of a degree of likelihood that the matched value is representative of the physiological characteristic, and determining a value of the physiological characteristic based on the matched value and the confidence indicator value.

Claims

1. A method comprising:

receiving an amplified signal including a portion of the physiological-related signal component that includes data representing a physiological characteristic, the amplified signal being derived from bioimpedance signal based on an impedance value of a tissue;

identifying a magnitude of the portion of the physiological-related signal component;

comparing the magnitude of the portion of the physiological-related signal component against another magnitude of a data model for the physiological characteristic in a time-domain to form a matched value;

establishing the matched value of the physiological characteristic;

determining a confidence indicator value representative of a degree of likelihood that the matched value is representative of the physiological characteristic;

determining a value of the physiological characteristic based on the matched value and the confidence indicator value.

2. The method of claim 1, wherein determining the value of the physiological characteristic comprises:

determining one or more of a heart rate, a respiration rate, a galvanic skin resistance value, data representing an affective state or mode, an amount of energy expenditure and an amount of calories expended.

3. The method of claim 1, wherein identifying the magnitude of the portion of the physiological-related signal component comprises:

identifying the magnitude during a window of time.

4. The method of claim 1, wherein comparing the magnitude of the portion of the physiological-related signal component against the another magnitude of the data model comprises:

identifying a peak magnitude of the portion of the physiological-related signal component.

5. The method of claim 4, wherein identifying the peak magnitude comprises:

performing an autocorrelation operation on data representing the data model and the portion of the physiological-related signal component.

6. The method of claim 1, further comprising:

determining a time interval between the magnitude and the another magnitude; and

calculated a rate indicative of the value of the physiological characteristic.

7. The method of claim 6, wherein determining the confidence indicator value comprises:

validating the rate is within a range of valid rates associated with the physiological characteristic.

8. The method of claim 7, wherein validating the rate is within the range of valid rates comprises:

validating the rate over the time interval is within a range of valid heart rates associated with a heart rate as the physiological characteristic.

9. The method of claim 1, further comprising:

adapting a value of a signal-to-noise ratio to form an adapted value of the signal-to-noise ratio based on the bioimpedance signal being based on the impedance value of the tissue.

10. The method of claim 9, further comprising.

characterizing the adapted value of the signal-to-noise ratio to form a characterized value of the signal-to-noise ratio.

11. The method of claim 11, wherein determining the confidence indicator value comprises:

validating the characterized value of the signal-to-noise ratio.