Patent classifications
A61B5/0531
Method, apparatus and computer program for synchronizing biopotential signals
A method, apparatus and computer program, the method comprising: receiving a first biopotential signal obtained by a first capacitive sensor; receiving a second biopotential signal obtained by a second capacitive sensor, the first capacitive sensor and the second capacitive sensor being positioned at different locations on a subject; synchronising biopotential signals obtained by the first capacitive sensor and the second capacitive sensor by applying a time adjustment to biopotential signals obtained by at least one of the first capacitive sensor or the second capacitive sensor; wherein features in at least one of the first biopotential signal and the second biopotential signal are used to synchronise the biopotential signals obtained by the first capacitive sensor and the second capacitive sensor.
METHODS, SYSTEMS, AND APPARATUSES FOR THE DETECTION OF PAIN RELATED SYMPTOMS
Methods, systems, and apparatuses for determining an indication of pain of a user are disclosed. Electrodermal activity (EDA) data from a sensor may be received. The EDA data may be indicative of one or more physiological signals derived from sweat gland activity of the user. Index values may be determined based on the EDA data. The index values may be compared to a threshold to determine if one or more of the values of the index value satisfies the threshold. Satisfying the threshold may indicate a pain in the user, a pain level for the user and/or a source of pain within the user. The indication may be caused to be output so that the user or others may be informed of an objective measurement of the pain in the user.
METHODS, SYSTEMS, AND APPARATUSES FOR THE DETECTION OF PAIN RELATED SYMPTOMS
Methods, systems, and apparatuses for determining an indication of pain of a user are disclosed. Electrodermal activity (EDA) data from a sensor may be received. The EDA data may be indicative of one or more physiological signals derived from sweat gland activity of the user. Index values may be determined based on the EDA data. The index values may be compared to a threshold to determine if one or more of the values of the index value satisfies the threshold. Satisfying the threshold may indicate a pain in the user, a pain level for the user and/or a source of pain within the user. The indication may be caused to be output so that the user or others may be informed of an objective measurement of the pain in the user.
Physical methods for living tissue inactivation and detection, and physical methods in use for the detection and inactivation of living bodies (like Ebola and 2019 Coronavirus) in living systems and non-living systems thereof
A system for detecting presence of coronavirus in a subject, the system including a first pad for placing a first hand, the pad including a contact to measure conductance of the subject's body, a conductance meter connected to the contact, a second pad for placing a second hand, a source of electromagnetic radiation for irradiating the second pad. A system for detecting presence of coronavirus in a subject, the system including a chip with a plurality of wires disposed on or in the chip, a conductance meter arranged to measure conductance between the wires, and biological material associated with the coronavirus disposed on or in the chip. Related apparatus and methods are also described.
Physical methods for living tissue inactivation and detection, and physical methods in use for the detection and inactivation of living bodies (like Ebola and 2019 Coronavirus) in living systems and non-living systems thereof
A system for detecting presence of coronavirus in a subject, the system including a first pad for placing a first hand, the pad including a contact to measure conductance of the subject's body, a conductance meter connected to the contact, a second pad for placing a second hand, a source of electromagnetic radiation for irradiating the second pad. A system for detecting presence of coronavirus in a subject, the system including a chip with a plurality of wires disposed on or in the chip, a conductance meter arranged to measure conductance between the wires, and biological material associated with the coronavirus disposed on or in the chip. Related apparatus and methods are also described.
Wearable apparatus, system and method for detection of cardiac arrest and alerting emergency response
The disclosure provides wearable cardiac arrest detection and alerting device that incorporates a non-invasive sensor based on optical and/or electrical signals transmitted into and received from human tissue containing blood vessels, and that transcutaneously quantifies the wearer's heart rate. The heart-rate quantification enables the detection of the absence of any heart beat by the wearable detection and alerting device indicative of the occurrence of a cardiac arrest, wherein the heart is no longer achieving effective blood circulation in the individual wearing the device. The display on the wearable cardiac arrest detection and alerting device may include the elapsed time since the time of detection of a heart rate that is below a predetermine lower limit value, i.e., the detected occurrence of a cardiac arrest event.
METHODS, SYSTEMS, AND APPARATUSES FOR THE DETECTION OF OXYGEN TOXICITY RELATED SYMPTOMS
Methods, systems and apparatuses for determining oxygen toxicity in users is disclosed. Electrodermal activity (EDA) data from a sensor may be received. The EDA data may be indicative of one or more physiological signals derived from sweat gland activity of the user. Time-varying index values may be determined based on the EDA data. The time-varying index values may be compared to a threshold to determine if one or more of the values satisfies the threshold. Satisfying the threshold may indicate oxygen toxicity is occurring within the user. A notification may be caused to occur based on the time-varying index value satisfying the threshold. The notification may cause the user to take actions to reduce the potential for further oxygen toxicity.
METHODS, SYSTEMS, AND APPARATUSES FOR THE DETECTION OF OXYGEN TOXICITY RELATED SYMPTOMS
Methods, systems and apparatuses for determining oxygen toxicity in users is disclosed. Electrodermal activity (EDA) data from a sensor may be received. The EDA data may be indicative of one or more physiological signals derived from sweat gland activity of the user. Time-varying index values may be determined based on the EDA data. The time-varying index values may be compared to a threshold to determine if one or more of the values satisfies the threshold. Satisfying the threshold may indicate oxygen toxicity is occurring within the user. A notification may be caused to occur based on the time-varying index value satisfying the threshold. The notification may cause the user to take actions to reduce the potential for further oxygen toxicity.
Electronic device for providing health information based on biometric data, and control method therefor
Disclosed is an electronic device comprising a processor and at least one sensor circuit comprising at least a biometric sensor and a fatigue sensor. The processor may be configured so as to detect biometric data of an external object by means of the biometric sensor, detect fatigue data of the external object by means of the fatigue sensor if the biometric data exceeds a designated second range, and output, by means of a designated external device, a fatigue notification indicating a fatigued state if the fatigue data exceeds a designated third range. Other various embodiments identified in the description are possible.
Ambulatory medical device including a digital front-end
An ambulatory medical device including a plurality of sensing electrodes and one or more processors operably coupled to the plurality of sensing electrodes is provided. Each sensing electrodes is configured to be coupled eternally to a patient and to detect one or more ECG signals. The one or more processors are configured to receive at least one electrode-specific digital signal for each of the plurality of sensing electrodes, determine a noise component for each of the electrode-specific digital signals, analyze each of the noise components for each of the plurality of sensing electrodes, generate electrode matching information for each sensing electrode of the plurality of sensing electrodes based upon analysis of each of the noise components, determine one or more sensing electrode pairs based upon the electrode matching information, and monitor each of the one or more sensing electrode pairs for ECG activity of the patient.