Metod and continuously wearable noninvasive apparatus for automatically detecting a stroke and other abnormal health conditions
AssigneeYingchang Yang
InventorYingchang Yang
Life of this patent
Estimating the term…
Abstract
Method and continuously wearable noninvasive apparatus for automatically detecting a stroke's onset are invented. The method comprises measuring pulse transit time or a related hemodynamic parameter and using adaptive pattern learning and stroke identification algorithms to identify the start of a stroke attack. The algorithms are run on an embedded processor and electronics in the apparatus. The result of the identification and detection is used to generate an alarm to alert the patient, caregiver or medical professional to immediately seek further medical treatment. The method can also be applied to identify and detect other abnormal health conditions.
Claims32
A method for monitoring a health condition of a person comprising:
- placing and fixing at least two pulse wave sensor units on at least two separate arterial sites as a continuously wearable apparatus for continuously measuring and monitoring the health condition of the person who wears the apparatus.
A continuously wearable health condition monitoring apparatus comprising:
- at least two pulse wave sensor units for a person to wear, place and fix on at least two separate arterial sites for continuously measuring pulse waveforms at the two arterial sites to monitor the health condition of the person who wears the apparatus.
A method for monitoring a health condition of a patient comprising:
- 1). continuously wearing a continuously wearable apparatus and measuring at least a hemodynamic parameter of the patient;
- 2). learning and determining a normal pattern of the hemodynamic parameter as a basis for identifying an abnormal health condition;
- 3). using latest measurement values of the hemodynamic parameter for calculating latest pattern over a selected time;
- and
- 4). comparing the latest pattern with a special pattern indicating the abnormal health condition to identify the abnormal health condition for triggering an alarm indication.
Dependencies are inferred from the claim text.