US20150124067 illustrates an improved technique for monitoring human health vitals without contact using the physiological signals extracted from video images captured by a video camera of a smartphone. One advantage of the contact-less vitals monitoring technique is the avoidance of contact measurement which can be a problem for infants and the elderly who need monitoring for a long period of time.
The contact-less vitals monitoring technique uses the photoplethysmographic (PPG) method. The PPG uses the optical signals (related to cardiac signal and respiratory signal) transmitted through or reflected by a person’s blood, e.g., arterial blood or perfused tissue, for monitoring a physiological parameter of the person. The smartphone can adjust the illuminator of the video camera with respect to intensity, spectrally, spatially, and/or temporally to improve the level of accuracy of the measurement. The smartphone processes the captured video images to extract a time-series signal. The smartphone extracts the physiological signals from the time-series signal. The smartphone can transmit the measurement results to the remote healthcare practitioners for further analysis and assistant.
US20150351698 illustrates a system for analyzing physiological and health data (e.g., activity data) retrieved from wearable monitors using a smartphone to identify emergencies or medically significant events in real-time. The system retrieves the physiological and health parameter data in real-time from the physiological and health monitors associated with a user. The physiological parameter data includes values of a physiological parameter of the user measured in real-time. The health parameter data includes values of the health parameter of the user measured in real-time.
The user smartphone analyzes the received physiological parameter data in real-time to identify a medical event associated with the user. The analysis of the received physiological parameter data includes determining that the physiological parameter data includes values that are outside of a normal range for the physiological parameter and that the medical event corresponds to a period of time in which the physiological parameter values remain outside the normal range. The user smartphone also analyzes the received health parameter data in real-time over a specified time period and generates a health level for the user based on the health data over a pre-determined period of time. The system generates medical notifications corresponding to the identified medical event and generated health level in real-time. The generated health level is transmitted by smartphone to an emergency response system when the identified medical event is an emergency medical event.
US20150335272 illustrates a system for reliably testing, monitoring and predicting blood sugar concentration (e.g., glucose) for a user. The system includes a user-wearable devices including storage for glucose testing strips, a spring-loaded lancet, a strip reader, a display, an activity sensor (e.g., accelerometer). The user-wearable devices collects and stores the blood glucose level based upon a test strip reading along with activity level of the user. The user-wearable devices transmit the data regarding the blood glucose level and activity level to the user smartphone for calculating a predicted blood glucose level for the user. The smartphone can provide the user with information illustrating how well the user has managed his/her own blood sugar concentration during a prior period of time based on the predicted blood glucose level for the user.
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