# US 2018/0322255 A1 · Cognitive personal health limit detector and trainer using a wearable smart mobile device > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2018/0322255 A1 - Document ID: US20180322255A1 - Status: Published application - Kind: A1 - Application number: 15/585,402 - Filed: 2017-05-03 - Published: 2018-11-08 - Earliest claimed: 2017-05-03 - Assignees: International Business Machines Corporation - Applicants: International Business Machines Corporation - Inventors: Jonathan Hudson CONNELL, II; Nalini K. RATHA - Web page: https://patentgrep.com/patent/US20180322255A1 ## CPC - G16H 50/30: for calculating health indices; for individual health risk assessment - G16H 10/60: for patient-specific data, e.g. for electronic patient records - G16H 40/67: for remote operation - G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA ## Abstract A computer-implemented method, data processor and computer program product determine exposure levels to external stimuli. At least one environmental condition is monitored and an external stimulus event is identified based on the at least one environmental condition. An intensity level of the external stimulus event is determined to exceed a predetermined threshold. An exposure level of the external stimulus is determined by integrating the intensity level over time. At least one human biometric quantity of a user is measured and a personal exposure level limitation is determined for the user based on the measured at least one human biometric quantity. When the exposure level exceeds the personal exposure level limitation, the user is warned of the exposure level. The human biometric quantity is one of: heart rate, blood pressure, body temperature, glucose level, blood oxygen level, muscle activity, electrolyte level, and lactic acid level. ## Claims ### Claim 1 A computer-implemented method comprising: monitoring at least one environmental condition; identifying an external stimulus event based on the at least one environmental condition; determining an intensity level of the external stimulus event exceeds a predetermined threshold; determining an exposure level of the external stimulus by integrating the intensity level over time; measuring at least one human biometric quantity of a user; determining a personal exposure level limitation for the user based on the measured at least one human biometric quantity; and when the exposure level exceeds the personal exposure level limitation for the user, warning the user of the exposure level. ### Claim 2 (depends on 1) The method of claim 1, wherein the at least one human biometric quantity is selected from a group consisting of: heart rate, blood pressure, body temperature, glucose level, blood oxygen level, muscle activity, electrolyte level, and lactic acid level. ### Claim 3 (depends on 1) The method of claim 1, further comprising: determining that the intensity level of the external stimulus does not exceed the predetermined threshold; and responsive to determining that the intensity level of the external stimulus does not exceed the predetermined threshold, decaying the exposure level of the external stimulus. ### Claim 4 (depends on 1) The method of claim 1, further comprising: predicting a time when the exposure level will exceed the personal exposure level limitation; and notifying the user of the exposure level at a time preceding the time when the exposure level will exceed the predetermined threshold. ### Claim 5 (depends on 1) The method of claim 1, further comprising: detecting an adverse outcome has occurred; and responsive to detecting the adverse outcome has occurred, adjusting the personal exposure level limitation closer to the predetermined threshold. ### Claim 6 (depends on 5) The method of claim 5, wherein detecting the adverse outcome has occurred comprises receiving an indication from the user. ### Claim 7 (depends on 5) The method of claim 5, wherein detecting the adverse outcome has occurred comprises determining at least one human biometric quantity is outside a safe range. ### Claim 8 (depends on 5) The method of claim 5, further comprising: logging information regarding the external stimulus event; and applying analytics to the information regarding the external stimulus event to predict an illness of the user. ### Claim 9 A data processor, comprising: a data receiver that, when operating: receives at least one environmental condition; and receives, from a wearable sensor, at least one human biometric quantity of a user; a data analyzer that, when operating: identifies an external stimulus event based on the at least one environmental condition; determines an intensity level of the external stimulus exceeds a predetermined threshold; determines an exposure level of the external stimulus by integrating the intensity level over time; and determines a personal exposure level limitation for the user based on the received at least one human biometric quantity; and when the exposure level exceeds the personal exposure level limitation for the user, warns the user of the exposure level. ### Claim 10 (depends on 9) The data processor of claim 9, wherein the data analyzer, when operating, further selects the at least one human biometric quantity a group consisting of: heart rate, blood pressure, body temperature, glucose level, blood oxygen level, muscle activity, electrolyte level, and lactic acid level. ### Claim 11 (depends on 9) The data processor of claim 9, wherein the data analyzer, when operating, further: predicts a time when the exposure level will exceed the predetermined threshold; and notifies the user of the exposure level at a time preceding the time when the exposure level will exceed the predetermined threshold. ### Claim 12 (depends on 10) The data processor of claim 10, wherein the data analyzer, when operating, further: determines that the intensity level of the external stimulus does not exceed the predetermined threshold; and responsive to determining that the intensity level of the external stimulus does not exceed the predetermined threshold, decays the exposure level of the external stimulus. ### Claim 13 (depends on 10) The data processor of claim 10, wherein the data analyzer, when operating, further: detects an adverse outcome has occurred; and responsive to detecting the adverse outcome has occurred, adjusts the personal exposure level limitation closer to the predetermined threshold. ### Claim 14 (depends on 13) The data processor of claim 13, wherein detecting the adverse outcome has occurred comprises receiving an indication from the user. ### Claim 15 (depends on 13) The data processor of claim 13, wherein detecting the adverse outcome has occurred comprises determining at least one human biometric quantity is outside a safe range. ### Claim 16 (depends on 10) The data processor of claim 10, wherein the data analyzer, when operating, further logs information regarding the external stimulus event; and applies analytics to the information regarding the external stimulus event to predict an illness of the user. ### Claim 17 A computer program product for determining exposure levels to external stimuli, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processing circuit to cause the processing circuit to: monitor at least one environmental condition; identify an external stimulus event based on the at least one environmental condition; determine an intensity level of the external stimulus event exceeds a predetermined threshold; determine an exposure level of the external stimulus by integrating the intensity level over time; measure at least one human biometric quantity of a user; determine a personal exposure level limitation for the user based on the measured at least one human biometric quantity; and when the exposure level exceeds the personal exposure level limitation for the user, warn the user of the exposure level. ### Claim 18 (depends on 17) The computer program product of claim 17, further comprising program instructions that cause the processor to: determine that the intensity level of the external stimulus does not exceed the predetermined threshold; and responsive to determining that the intensity level of the external stimulus does not exceed the predetermined threshold, decay the exposure level of the external stimulus. ### Claim 19 (depends on 17) The computer program product of claim 17, further comprising program instructions that cause the processor to: predict a time when the exposure level will exceed the personal exposure level limitation; and notify the user of the exposure level at a time preceding the time when the exposure level will exceed the predetermined threshold. ### Claim 20 (depends on 17) The computer program product of claim 17, further comprising program instructions that cause the processor to: detect an adverse outcome has occurred; and responsive to detecting the adverse outcome has occurred, adjust the personal exposure level limitation closer to the predetermined threshold.