Abstract: A method and system for obtaining and analyzing ECG waveforms from a patient is disclosed. Initially, a recommendation for obtaining an ECG waveform from a patient is issued, typically from a cardiologist. An ECG recording device is used to obtain ECG data from the patient. The recording device generates patient identification information, time and date information and an initial analysis that are included in a log delivered along with the ECG data to an analysis server. The analysis server generates a recommended action for the patient, which is delivered to the recording device while the patient is still present at the recording device. The recording device can then carry out the recommended action and provide the results for analysis by the cardiologist. The analysis server can utilize artificial intelligence/machine learning to generate the recommended action for the patient without having to involve the cardiologist, thereby reducing the number of visits for the treatment of the patient.

Abstract: A method and system for obtaining and analyzing ECG waveforms from a patient is disclosed. Initially, a recommendation for obtaining an ECG waveform from a patient is issued, typically from a cardiologist. An ECG recording device is used to obtain ECG data from the patient. The recording device generates patient identification information, time and date information and an initial analysis that are included in a log delivered along with the ECG data to an analysis server. The analysis server generates a recommended action for the patient, which is delivered to the recording device while the patient is still present at the recording device. The recording device can then carry out the recommended action and provide the results for analysis by the cardiologist. The analysis server can utilize artificial intelligence/machine learning to generate the recommended action for the patient without having to involve the cardiologist, thereby reducing the number of visits for the treatment of the patient.

Abstract: A method and system for obtaining and analyzing ECG waveforms from a patient is disclosed. Initially, a recommendation for obtaining an ECG waveform from a patient is issued, typically from a cardiologist. An ECG recording device is used to obtain ECG data from the patient. The recording device generates patient identification information, time and date information and an initial analysis that are included in a log delivered along with the ECG data to an analysis server. The analysis server generates a recommended action for the patient, which is delivered to the recording device while the patient is still present at the recording device. The recording device can then carry out the recommended action and provide the results for analysis by the cardiologist. The analysis server can utilize artificial intelligence/machine learning to generate the recommended action for the patient without having to involve the cardiologist, thereby reducing the number of visits for the treatment of the patient.

Abstract: Methods, apparatus, and systems are disclosed to improve selection of medical treatment. An example apparatus includes a user interface to receive health information for a patient and a data analyzer to access historical patient information stored in a database, and determine a condition based on comparing historical patient information stored in a database to the health information for the patient. The example apparatus includes a machine learning engine to recommend a treatment plan, including: a data analytic algorithm server to determine success rates of the treatment plan for the condition; and a model generator to generate a patient model, wherein the patient model predicts effects of the treatment plan. The example apparatus includes a communications interface to facilitate scheduling an appointment with a clinician.

Abstract: Methods, apparatus, and systems are disclosed to improve selection of medical treatment. An example apparatus includes a user interface to receive health information for a patient and a data analyzer to access historical patient information stored in a database, and determine a condition based on comparing historical patient information stored in a database to the health information for the patient. The example apparatus includes a machine learning engine to recommend a treatment plan, including: a data analytic algorithm server to determine success rates of the treatment plan for the condition; and a model generator to generate a patient model, wherein the patient model predicts effects of the treatment plan. The example apparatus includes a communications interface to facilitate scheduling an appointment with a clinician.

Abstract: A communication system synchronizes subscriptions between a user terminal (UT) and a Subscription Service Host (SSH). The UT conveys, to the SSH, multiple subscription messages associated with a Watcher that each initiates a subscription associated with the Watcher and requests watched entity status information. The UT starts a timer and, in response to an expiration of the timer, conveys a subscription information consolidated status update (SICSU) request to the SSH that requests a consolidated status update of all subscriptions associated with the Watcher. In response, the UT receives an SICSU notification comprising a first one or more SICSU values that indicate a status of multiple subscriptions associated with the Watcher, determines a corresponding second one or more SICSU values based on its own list, compares the first SICSU values to the second SICSU values, and determines whether the UT is out of synchronization with the SSH based on the comparison.

Abstract: A communication system synchronizes subscriptions between a user terminal (UT) and a Subscription Service Host (SSH). The UT conveys, to the SSH, multiple subscription messages associated with a Watcher that each initiates a subscription associated with the Watcher and requests watched entity status information. The UT starts a timer and, in response to an expiration of the timer, conveys a subscription information consolidated status update (SICSU) request to the SSH that requests a consolidated status update of all subscriptions associated with the Watcher. In response, the UT receives an SICSU notification comprising a first one or more SICSU values that indicate a status of multiple subscriptions associated with the Watcher, determines a corresponding second one or more SICSU values based on its own list, compares the first SICSU values to the second SICSU values, and determines whether the UT is out of synchronization with the SSH based on the comparison.

Abstract: A system and method for providing call mobility for a dual-mode phone between a cellular network and a home wireless network for a dual-mode phone having a cellular identity and a home identity, wherein the home identity is active when the dual-mode phone is in communication with the home wireless network. The system comprises a residential gateway to connect the home wireless network to a public network, and a VoIP service provider in communication with a mobile switching center on the cellular network and the public network. After placing or receiving a call, the dual-mode phone sends a signal to the residential gateway to initiate the movement of the call between the cellular network and the home wireless network while the call is ongoing.

Abstract: A system and method for providing call mobility for a dual-mode phone between a cellular network and a home wireless network for a dual-mode phone having a cellular identity and a home identity, wherein the home identity is active when the dual-mode phone is in communication with the home wireless network. The system comprises a residential gateway to connect the home wireless network to a public network, and a VoIP service provider in communication with a mobile switching center on the cellular network and the public network. After placing or receiving a call, the dual-mode phone sends a signal to the residential gateway to initiate the movement of the call between the cellular network and the home wireless network while the call is ongoing.

Abstract: A method and a system for performing a conference call in a network (102) are disclosed. The network (102) includes a plurality of electronic devices (104, 106, 108 110, 112, and 114) that interact with each other. The method includes receiving (302) audio streams from the plurality of electronic devices, and compiling (304) them so that the audio streams received are separate relative to each other. The method also includes transmitting (306) the audio streams to the plurality of electronic devices, and processing (308) the audio streams in at least one electronic device. The audio streams are also positioned in a virtual conference room (512), associated with at least one electronic device.