Application US20180353094

Apparatus, Systems and Methods for Predicting, Screening and Monitoring of Encephalopathy/Delirium
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US20180353094

1. A system for patient delirium screening, comprising: (7) (4)

a. a handheld screening device comprising a housing;

b. at least two sensors configured to record one or more brain signals and generate one or more values;

c. a processor; and

d. at least one module configured to: i. perform spectral density analysis on the one or more values; and

ii. output data presenting an indication of the presence, absence, or likelihood of the subsequent development of encephalopathy.

2. The system of claim 1, wherein the module is configured to compare one or more values from the one or more brain signals to a threshold. (1) (0)

4. The system of claim 1, wherein the one or more brain signals are electroencephalogram (EEG) signals. (0)

5. The system of claim 1, wherein there are two sensors. (0)

6. The system of claim 1, wherein the at least one module. (0)

7. The system of claim 1, wherein the housing comprises a display. (1) (0)

9. The system of claim 1, wherein the one or more values are selected from the group consisting of: high frequency waves, low frequency waves, and combinations thereof. (0)

10. The system of claim 1, wherein the one or more values are numeric representations of the number of occurrences of each of the one or more features over a period of time. (0)

11. A system for evaluating the presence of encephalopathy, comprising: (4) (3)

a. at least two sensors configured to record one or more brain frequencies;

b. a processor;

c. at least one module configured to: i. compare brain wave frequencies over time;

ii. perform spectral density analysis on the brain wave frequencies to establish a ratio;

iii. compare the ratio against an established threshold; and

iv. output data presenting an indication of the presence, absence, or likelihood of the subsequent development of encephalopathy.

12. The system of claim 11, wherein the threshold is predetermined. (0)

13. The system of claim 11, wherein the threshold is established on the basis of a machine learning model. (0)

14. The system of claim 11, further comprising a handheld housing comprising a display, wherein: (0) (3)

15. The system of claim 11, further comprising a validation module configured to evaluate signal brain, wherein the processor converts the one or more brain frequencies into signal data, and the validation module discards the signal data that exceeds at least one pre-determined signal quality threshold. (1) (0)

17. A handheld device evaluating the presence, absence, or likelihood of the subsequent development of encephalopathy in a patient, comprising: (3) (6)

a. a housing;

b. at least one sensor configured to generate at least one brain wave signal;

c. at least one processor;

d. at least one system memory;

e. at least one program module configured to perform spectral density analysis on the at least one brain wave signal and generate patient output data; and

f. a display configured to depict the patient output data.

18. The device of claim 17, further comprising a signal processing module. (0)

19. The device of claim 17, further comprising a validation module. (0)

20. The device of claim 17, further comprising a threshold module. (0)

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Application US20180353094

Apparatus, Systems and Methods for Predicting, Screening and Monitoring of Encephalopathy/Delirium

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