Head-mounted physiological signal monitoring system, devices and methods
Earphone apparatus includes dry electrophysiological electrodes and, optionally, other physiological and/or environmental sensors to measure signals such as ECG from the head of a subject. Methods of use of such apparatus to provide fitness, health, or other measured or derived, estimated, or predicted metrics are also disclosed.
1. A head-mounted physiological signal monitoring system comprising:
at least two dry surface electrophysiological electrodes each comprising a lower surface adapted to contact the subject's skin and each electrode comprising a plurality of low aspect ratio surface features on the lower surface;
an earpiece adapted to be worn in or around at least one ear of a subject and comprising at least one soundspeaker at least one of the at least two dry surface electrophysiological electrodes being adapted to be attached to or integrated into the earpiece;
at least one electronic component including a processor adapted to at least obtain, amplify, and filter the electrophysiological signals from the dry electrode(s);
the processor or a second electronic component comprising an algorithm adapted to process the amplified and filtered electrophysiological signals to produce electrocardiogram (ECG) signals; and
at least one physiological sensor not being of the at least two dry electrophysiological electrodes and being adapted to acquire a physiological signal, and the processor or the second electronic component is adapted to measure a physiological signal from the subject using the physiological sensor substantially simultaneously with the measuring of the electrophysiological signal using the dry electrodes.
2. The system of claim 1 , wherein the processor or the second electronic component is adapted to process the ECG signals to determine respiration rate.
3. The system of claim 1 , wherein the processor or the second electronic component is adapted to process the ECG signals to determine heart rate variability.
4. The system of claim 1 , wherein the processor or the second electronic component is adapted to measure or derive at least one physiological metric based at least in part on the electrophysiological signal and/or the ECG signal.
5. The system of claim 4 , wherein the physiological metric is adapted to be reported to the subject and forms a basis of a notice or warning delivered to the subject by an output selected from the group consisting of a visual display, an audible alarm, speech, a mild electrical shock, an ambient or localized temperature change, and a change in lighting permitted to enter eyes of the subject.
6. The system of claim 4 , wherein the physiological metric is selected from the group consisting of heart rate, heart rate variability, respiration rate, calorie expenditure, metabolic rates, oxygen consumption (VO 2 ), maximal oxygen consumption (VO 2 max ), carbon dioxide production (VCO 2 ), energy expenditure, respiratory quotient and substrate utilization.
7. A head-mounted physiological signal monitoring system comprising:
at least two dry surface electrophysiological electrodes each comprising a lower surface adapted to contact the subject's skin and each electrode comprising a plurality of low aspect ratio surface features on the lower surface;
an earpiece adapted to be worn in or around at least one ear of a subject and comprising at least one soundspeaker, at least one of the at least two dry surface electrophysiological electrodes being adapted to be attached to or integrated into the earpiece;
at least one physiological sensor not being of the at least two dry electrophysiological electrodes and being adapted to acquire a physiological signal;
at least one electronic component including a processor adapted to at least obtain, amplify, and filter the electrophysiological signals from the dry electrode(s);
the processor or a second electronic component comprising an algorithm adapted to process the amplified and filtered electrophysiological signals to produce electrocardiogram (ECG) signals, and the processor or second electronic component being further adapted to measure a physiological signal from the subject using the physiological sensor substantially simultaneously with the measuring of the electrophysiological signal using the dry electrodes and to measure or derive at least one physiological metric based at least in part on the physiological signal and/or the ECG signal.
8. The system of claim 7 , wherein the processor or the second electronic component is adapted to process the ECG signals to determine respiration rate.
9. The system of claim 7 , wherein the processor or the second electronic component is adapted to process the ECG signals to determine heart rate variability.
10. The system of claim 7 , wherein the physiological metric is selected from the group consisting of heart rate, heart rate variability, respiration rate, calorie expenditure, metabolic rates, oxygen consumption (VO 2 ), maximal oxygen consumption (VO 2 max ), carbon dioxide production (VCO 2 ), energy expenditure, respiratory quotient and substrate utilization.
11. The system of claim 10 , wherein the physiological metric is adapted to be reported to the subject and forms a basis of a notice or warning delivered to the subject by an output selected from the group consisting of a visual display, an audible alarm, speech, a mild electrical shock, an ambient or localized temperature change, and a change in lighting permitted to enter eyes of the subject.
12. The method of claim 7 , wherein the physiological sensor is adapted to measure galvanic skin response, and the at least one physiological metric derived from the physiological signal is adapted to measure a subject's level of excitement, stress, or physical or psychological stimulation.
13. A head-mounted physiological signal monitoring system comprising:
at least two dry surface electrophysiological electrodes each comprising a lower surface adapted to contact the subject's skin and each electrode comprising a plurality of low aspect ratio surface features on the lower surface;
an earpiece adapted to be worn in or around at least one ear of a subject and comprising at least one soundspeaker, at least one of the at least two dry surface electrophysiological electrodes being adapted to be attached to or integrated into the earpiece;
at least one electronic component including a processor adapted to at least obtain, amplify, and filter the electrophysiological signals from the dry electrode(s);
the processor or a second electronic component comprising an algorithm adapted to process the amplified and filtered electrophysiological signals to produce electrocardiogram (ECG) signals and to measure or derive at least one physiological metric based at least in part on the electrophysiological signal and/or the ECG signal; and
at least one physiological sensor not being of the at least two dry electrophysiological electrodes and being adapted to acquire a physiological signal, and the processor or the second electronic component is adapted to measure a physiological signal from the subject using the physiological sensor substantially simultaneously with the measuring of the electrophysiological signal using the dry electrodes.
14. The system of claim 13 , wherein the processor or the second electronic component is adapted to process the ECG signals to determine respiration rate.
15. The system of claim 13 , wherein the physiological sensor is adapted to measure galvanic skin response, and the at least one physiological metric derived from the physiological signal is adapted to measure a subject's level of excitement, stress, or physical or psychological stimulation.
16. The system of claim 13 , wherein the physiological metric is adapted to be reported to the subject and forms a basis of a notice or warning delivered to the subject by an output selected from the group consisting of a visual display, an audible alarm, speech, a mild electrical shock, an ambient or localized temperature change, and a change in lighting permitted to enter eyes of the subject.
17. The system of claim 13 , wherein the processor or the second electronic component is adapted to process the ECG signals to determine heart rate variability.
18. The system of claim 13 , wherein the physiological metric is selected from the group consisting of heart rate, heart rate variability, respiration rate, calorie expenditure, metabolic rates, oxygen consumption (VO 2 ), maximal oxygen consumption (VO 2 max ), carbon dioxide production (VCO 2 ), energy expenditure, respiratory quotient and substrate utilization.