US 12,262,973 B1
Systems and methods of a medical device and environmental connectivity hub
Ian McLane, Bell Canyon, CA (US); and Christopher Smith, Thousand Oaks, CA (US)
Assigned to Perin Health Devices LLC, Oklahoma City, OK (US)
Filed by PERIN HEALTH DEVICES LLC, Oklahoma City, OK (US)
Filed on Aug. 16, 2024, as Appl. No. 18/807,373.
Claims priority of provisional application 63/573,306, filed on Apr. 2, 2024.
Claims priority of provisional application 63/572,012, filed on Mar. 29, 2024.
Int. Cl. A61B 5/00 (2006.01); A61B 5/08 (2006.01); A61B 7/00 (2006.01); G06F 21/60 (2013.01); G06F 21/62 (2013.01)
CPC A61B 5/0022 (2013.01) [A61B 5/0823 (2013.01); A61B 5/7203 (2013.01); A61B 5/7264 (2013.01); A61B 7/003 (2013.01); G06F 21/602 (2013.01); G06F 21/6245 (2013.01); A61B 2560/0242 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A system comprising:
an Internet of Things (IoT) secured gateway;
a user interface comprising an interactivity tool;
an environmental monitoring device configured to collect environmental data;
a set of sensors configured to collect biological signals;
a secure encrypted local database; and
a medical hub device comprising a processor and addressable memory;
wherein the system is configured to:
collect, via the set of sensors, biological signals related to patient status, wherein the biological signals are collected on a continual basis;
collect, via the environmental monitoring device, environmental data associated with patient environment and used for monitoring patient status, wherein the environmental data are collected on a continual basis;
store, locally via the secure encrypted local database, the collected biological signals and the collected environmental data spanning over a period of time;
detect, by the processor, an abnormality in the collected biological signals based on comparing the collected biological signals of a current reading versus the locally stored biological signals representing a prior reading, wherein the abnormality detection is executed for biological signals collected by all the sensors in the set of sensors;
increase, by the processor, measurement frequency of the biological signals by the set of sensors based on the detected abnormality to determine whether the detected abnormality of the collected biological signal sensor reading with the increased frequency measurements is consistent across sequentially collected biological signals;
detect, by the processor, an error in the collected biological signals of the current reading with the increased frequency measurements based on comparing collected biological signals of an alternate sensor of the set of sensors versus locally stored biological signals representing a prior reading by the alternate sensor of the set of sensors, thereby detection of an abnormality by the alternate sensor indicates that the detected abnormality is due to a sensor error;
determine, by the processor, whether the detected error in the collected biological signals of the current reading is due to environmental factors based on correlating the collected environmental data with the collected biological signal;
correct, by the processor, the determined error in the collected biological signals by prioritizing the detected abnormality based on the correlated collected biological signals and the collected environmental data; and
transmit, via the IoT secured gateway, the error corrected collected biological signals as encrypted data over a secure connection to a cloud system.