What is claimed is:
1. A thermally-assisted magnetic recording disk comprising:
a substrate;
a magnetic recording layer on the substrate; and
a multilayered thermal barrier between the substrate and the recording layer, the barrier comprising alternating layers of a metal having an electrical resistivity greater than approximately 100 microOhm-cm and a dielectric selected from the group consisting of oxides, nitrides and oxynitrides of one or more of Al and Si, the barrier having a plurality of metal layers and a plurality of dielectric layers.
2. The disk of claim 1 wherein the metal in the metal layers is selected from the group consisting of the beta phase of Ta, Nb, Hf, Y and Zr.
3. The disk of claim 2 wherein the metal in the metal layers is the beta phase of Ta.
4. The disk of claim 1 wherein the thickness of each of the layers in the barrier is between 5 and 100 Angstrom.
5. The disk of claim 1 further comprising a seed layer between the thermal barrier and the recording layer.
6. The disk of claim 1 further comprising an underlayer between the substrate and the thermal barrier.
7. The disk of claim 6 wherein the recording layer comprises a layer of perpendicular magnetic recording material and the underlayer comprises a layer of soft magnetic material.
8. The disk of claim 1 further comprising a protective overcoat on the recording layer.
9. The disk of claim 1 wherein the substrate is glass.
10. A thermally-assisted magnetic recording disk
a substrate;
a magnetic recording layer on the substrate; and
a multilayered thermal barrier between the substrate and the recording layer, the barrier comprising at least five bilayers, each bilayer consisting of a layer of a dielectric selected from the group consisting of oxides, nitrides and oxynitrides of one or more of Al and Si, and a layer of beta-Ta, the dielectric layer and beta-Ta layer each having a thickness between 5 and 100 Angstrom and being in contact to define an interface.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A system comprising:
a measuring device comprising at least one sensor configured to collect data from a user based on the sensor being at least one of in contact with and proximate to a section of skin of the user;
a stress feature analyzer configured to determine at least one of cardiovascular activity of the user, skin conductance of the user, movement of the user, and skin temperature of the user based on data collected with the measuring device;
a stress classifier configured to classify and report stress based on at least one of the cardiovascular activity, the skin conductance, and a combination of the cardiovascular activity and the skin conductance, wherein when at least one of skin temperature and movement of the user exceeds a defined threshold, the stress classifier ceases to classify stress.
2. The system according to claim 1, further comprising a database configured to maintain the report.
3. The system according to claim 1, further comprising an input device configured to allow the user to designate when psychological stress is experienced.
4. The system according to claim 1, wherein the measuring device is a part of a wearable device and at least one of the stress feature analyzer and the stress classifier are part of a mobile device which is in communication with the wearable device.
5. The system according to claim 1, wherein the stress feature analyzer and the stress classifier determine a stress level of the user in real-time.
6. The system according to claim 5, wherein real-time occurs on minute-to-minute basis.
7. The system according to claim 1, further comprising a display configured to show a stress score generated by the stress classifier.
8. The system according to claim 7, wherein the display is further configured to show at least one technique to mitigate the stress experienced by the user.
9. The system according to claim 3, further comprising an adaptation component configured to adjust a stress threshold based on an entry received form the input device.
10. The system according to claim 9, wherein the stress threshold comprises a threshold level of stress classification score which is adjusted based on an entry received from the input device.
11. The system according to claim 1, wherein the stress classifier is further configured to determine stress by being configured to identify an interbeat interval data of a heart of the user based on the cardiovascular data collected, filter interbeat interval data that is outside of a defined range, convert a non-filtered interbeat interval data into heart rates, averaging the heart rates over a period used to define real-time to determine a mean, determine a baseline heart rate when the user is at rest, and subtract the baseline heart rate from the mean to determine a normalized minute mean heart rate which is used to ascertain when stress is experienced.
12. The system according to claim 1, wherein the stress classifier is further configured to determine stress by being configured to determine a mean of the skin conductance data over a period used to define real-time; determining a baseline skin conductance data when the user is at rest, and subtract a baseline skin conductance data from the mean to determine a normalized minute mean skin conductance.
13. A method comprising:
collecting, in real-time, at least one of cardiovascular activity data of a user and skin conductance data of the user in addition to movement data of the user and skin temperature data of the user with a wearable sensor array in proximity with a section of skin of the user;
identifying, in real-time, when stress is experienced by the user based on at least one of the cardiovascular activity data collected and the skin conductance data collected wherein when at least one of the movement data and the skin temperature data exceeds a predefined threshold stress is not identified with a mobile device in communication with the wearable sensor array;
classifying, in real time, an amount of stress experienced with a stress classifier; and
reporting at least to the user when stress is experienced.
14. The method according to claim 13, further comprising identifying when the user feels psychological stress, independent of the physiological stress as indicated by cardiovascular activity data and skin conductance data with an input device.
15. The method according to claim 14, further comprising adjusting a threshold level of stress classification score determined with at least one of the cardiovascular activity data and the skin conductance data with stress data entered with the input device.
16. The method according to claim 13, further comprising maintaining a report when stress is experienced in a database.
17. The method according to claim 13, further comprising presenting to the user at least one technique to mitigate the stress experienced by the user.
18. The method according to claim 13, herein identifying, in real-time, when stress is experienced further comprising:
identifying an interbeat interval data of a heart of the user based on the cardiovascular data collected;
filtering interbeat interval data that is outside of a defined range;
converting a non-filtered interbeat interval data into heart rates;
averaging the heart rates over a period used to define real-time to determine a mean;
determining a baseline heart rate when the user is at rest; and
subtracting the baseline heart rate from the mean to determine a normalized minute mean heart rate which is used to ascertain when stress is experienced.
19. The method according to claim 13, wherein identifying, in real-time, when stress is experienced further comprising:
determining a mean of the skin conductance data over a period used to define real-time;
determining a baseline skin conductance data when the user is at rest; and
subtracting a baseline skin conductance data from the mean to determine a normalized minute mean skin conductance.
20. A non-transitory processor readable storage medium, providing an executable computer program product, the executable computer program product comprising a computer software code that, when executed on a processor, causes the processor to:
identify, in real-time, when stress is experienced by the user based on at least one of cardiovascular activity data collected and skin conductance data collected with a wearable sensor array proximate a section of skin of the user;
cease to identify, in real-time, when stress is experienced when at least one of movement data collected and the skin temperature data collected with the wearable sensor array proximate the section of skin of the user exceeds a predefined threshold;
classify, in real time, an amount of stress experienced; and
report at least to the user when stress is experienced.
21. The non-transitory processor readable storage medium according to claim 20, when executed on a processor, further causes the processor adjust a threshold level of stress determined with at least one of the cardiovascular activity data and the skin conductance data with stress data is provided by the user independent of the cardiovascular activity data and the skin conductance data.
22. The non-transitory processor readable storage medium according to claim 20, when executed on a processor, further causes the processor to present to the user at least one technique to mitigate the stress experienced by the user.
23. The non-transitory processor readable storage medium according to claim 20, wherein the processor is part of a mobile device.