Wearable Wireless Multisensor Health Monitor with Head Photoplethysmograph

• US 20160296124A1
• Filed: 06/17/2016
• Published: 10/13/2016
• Est. Priority Date: 03/15/2013
• Status: Abandoned Application

• Current Assignee: Venture Gain LLC
• Original Assignee: Venture Gain LLC
• Inventors: Wegerich, Stephan W., Pipke, Robert Matthew, Meizelis, Thaddeus
• Application Number:
  US15/186,296
• Publication Number:
  US 20160296124A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0443 Modular apparatus
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/0024 for multiple sensor units attached to the patient, e.g. using a body or personal area network
• 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 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/0245 by using sensing means generating electric signals, i.e. ECG signals
• CPC Class Codes: A61B 5/0261 using optical means, e.g. infrared light
• CPC Class Codes: A61B 5/053 Measuring electrical impedance or conductance of a portion of the body
• CPC Class Codes: A61B 5/0531 Measuring skin impedance
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/25 Bioelectric electrodes therefor
• CPC Class Codes: A61B 5/282 Holders for multiple electrodes for introduction into the body A61B5/287
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle
• CPC Class Codes: A61B 5/6803 Head-worn items, e.g. helmets, masks, headphones or goggles
• CPC Class Codes: A61B 5/6814 Head
• CPC Class Codes: A61B 5/6815 Ear
• CPC Class Codes: A61B 5/6816 : Ear lobe
• CPC Class Codes: A61B 5/6823 : Trunk, e.g., chest, back, abdomen, hip
• CPC Class Codes: A61B 5/6831 : Straps, bands or harnesses
• CPC Class Codes: A61B 5/6832 : using adhesives A61B5/259 takes precedence
• CPC Class Codes: A61B 5/6833 : Adhesive patches
• CPC Class Codes: F16M 13/04 : for supporting on, or holding steady relative to, a person, e.g. by chains , e.g. rifle butt or pistol grip supports, supports attached to the chest or head apparatus or arrangements for taking photographs or for projecting or viewing them G03B

Abstract

Ambulatory monitoring of human health is provided by a multi-component multi-sensor wireless wearable biosignal acquisition system comprising a torso device and a peripheral device communicating wirelessly, and a mobile phone for receiving collected data and uploading it over cellular network or WiFi to a remote computer for multivariate analysis. Biosignals include EKG and PPG, from which a determination of pulse transit time can be made.

Claims

1. A system for monitoring human health comprising:

a wearable torso device comprising a first firmware-programmed microprocessor, a first internal memory, and at least one analog-to-digital converter, disposed to continuously measure at least an electrocardiographic signal from at least two electrodes;

a peripheral device in wireless connectivity with said torso device, comprising a second firmware-programmed microprocessor, a second internal memory, and having at least one light source and a light sensitive element arranged with respect to said light source for quantitatively measuring light from said light source that has passed through subcutaneous tissue when said peripheral device is positioned on skin, thereby providing a photoplethysmographic signal that is communicated to the torso device wirelessly;

wherein by means of automatic execution of firmware in said first and second microprocessors

said peripheral device is disposed to accumulate data packets of photoplethysmographic signal in a first circular buffer in said first internal memory and periodically transmit at least one data packet to said torso device and upon acknowledgement that the transmitted packet was received by said torso device, to remove the transmitted packet from said first circular buffer;

said torso device is disposed to store said data packets received from said peripheral device in a second circular buffer in said second internal memory, maintain a count of packets received, and remove packets from said second circular buffer upon processing each packet with matched electrocardiographic signal data; and

when the wireless connectivity is interrupted for an extended period

said peripheral device is disposed to overwrite an unsent packet with a new packet on a first-in-first-out basis when said first circular buffer is full while said torso device is disposed to generate a packet of null data for matching and processing with electrocardiographic signal data and to increment said packet counter, when said second circular buffer is empty, in order to maintain synchronization of said photoplethysmographic signal with said electrocardiographic signal.

2. The system according to claim 1, further comprising a mobile phone disposed to receive wireless transmissions of data from said torso device inclusive of data from said peripheral device.

3. The system according to claim 1 further comprising a headband disposed to hold the peripheral device against a forehead, and said peripheral device comprises an enclosure that is curved to conform to the curvature of the human forehead.

4. The system according to claim 1 wherein said peripheral device further comprises an enclosure with a concave well disposed to be attached against skin over the mastoid process of a wearer with a double-sided adhesive.

5. The system according to claim 1 wherein said peripheral device further comprises

an enclosure containing said first microprocessor and said first internal memory;

a sensor nodule containing said light source and said light sensitive element, connected to said enclosure by a flexible electrical cable; and

an opaque adhesive patch adapted to cover said nodule and adhere to skin circumferentially around said nodule.

6. The system according to claim 5 wherein said peripheral enclosure is hook-shaped so as to be adapted to hang over the ear of a wearer.

7. The system according to claim 1 wherein:

said peripheral device further comprises a first oscillator clock at a first frequency;

said torso device further comprises a second oscillator clock at a second frequency selected to be intentionally and slightly different from said first frequency such that the count of samples of electrocardiographic signal collected by said torso device differs by one sample from the count of samples of photoplethysmographic signal collected by said peripheral device after a selected period of time;

said second microprocessor under execution of firmware eliminates a sample from the one of the set of the electrocardiographic signal and the photoplethysmographic signal that has an additional sample, in order to deterministically correct for clock drift between said first and second clocks.

8. A system for monitoring human health comprising:

a wearable torso device comprising a first firmware-programmed microprocessor, a first internal memory, a first radio and at least one analog-to-digital converter, disposed to measure at least an electrocardiographic signal from at least two electrodes;

a peripheral device comprising

an enclosure containing a second firmware-programmed microprocessor, a second internal memory, and a second radio;

a sensor nodule connected to said enclosure by a flexible electrical cable and containing at least one light source and a light sensitive element arranged with respect to said light source for quantitatively measuring light from said light source that has passed through subcutaneous tissue when said sensor nodule is positioned on skin, to measure a photoplethysmographic signal; and

an opaque adhesive patch adapted to cover said nodule and adhere to skin circumferentially around said nodule;

and

a mobile phone disposed to receive via wireless transmission said electrocardiographic signal and said photoplethysmographic signal.

9. The system according to claim 8, wherein said peripheral device is configured to wirelessly transmit said photoplethysmographic signal to said torso device, and said torso device is configured to transmit the combination of said photoplethysmographic signal and said electrocardiographic signal to said mobile phone.

10. The system according to claim 9, wherein:

said peripheral device further comprises a first oscillator clock at a first frequency;

said torso device further comprises a second oscillator clock at a second frequency selected to be intentionally and slightly slower than said first frequency such that the count of samples of electrocardiographic signal collected by said torso device is less by one sample from the count of samples of photoplethysmographic signal collected by said peripheral device after a selected period of time;

said second microprocessor under execution of firmware eliminates a sample from the photoplethysmographic signal, in order to deterministically correct for clock drift between said first and second clocks.

11. A method for monitoring a physiological status of a human:

acquiring a photoplethysmographic signal from the mastoid process of the human using a wearable PPG sensor;

acquiring an electrocardiographic signal from the torso of the human using a wearable ECG sensor;

wirelessly receiving said photoplethysmographic signal and said electrocardiographic signal in a mobile phone;

uploading said signals from said mobile phone to a remote analysis server;

determining in said remote analysis server time differences between a first repeating landmark in said electrocardiographic signal and a subsequent second repeating landmark in said photoplethysmographic signal to provide a time series of time differences; and

assessing in said remote analysis server a physiological status of the human based on a multivariate residual-based model that uses said time differences as a variable.

12. The method according to claim 11 wherein said first landmark is a QRS complex of said electrocardiographic signal and said second landmark is an inflexion point of said photoplethysmographic signal indicative of blood pulse arrival, to yield time differences indicative of a pulse transit time.

13. The method according to claim 11 wherein said first landmark is a QRS complex of said electrocardiographic signal and said second landmark is an inflexion point of said photoplethysmographic signal from decreasing light transmission to increasing light transmission, yielding time differences indicative of a diastolic relaxation rate.

14. The method according to claim 11, wherein said wearable PPG sensor has a microprocessor clock speed that is slightly different from the a microprocessor clock speed of said wearable ECG sensor, such that the count of samples of electrocardiographic signal collected by said wearable ECG sensor differs by one sample from the count of samples of photoplethysmographic signal collected by said wearable PPG sensor after a selected period of time, and further comprising the step of eliminating a sample from the one of the set of the electrocardiographic signal and the photoplethysmographic signal that has an additional sample, in order to deterministically correct for clock drift between said ECG sensor and said PPG sensor.