Abstract: A dashboard centered around arrhythmia or atrial fibrillation tracking is provided. The dashboard includes a heart or cardiac health score that can be calculated in response to data from the user such as their ECG and other personal information and cardiac health influencing factors. The dashboard also provides to the user recommendations or goals, such as daily goals, for the user to meet and thereby improve their heart or cardiac health score. These goals and recommendations may be set by the user or a medical professional and routinely updated as his or her heart or cardiac health score improves or otherwise changes. The dashboard is generally displayed from an application provided on a smartphone or tablet computer of the user.

Abstract: Described herein are methods, apparatuses, and systems for heart monitoring of a patient. The heart monitoring system can be used to take an electrocardiogram (ECG) using only two electrodes. A handheld device can be used to sequentially measure the electrical signal between different positions on a patient's body. The electrical signals can be processed and analyzed to prepare an ECG for the patient, including a 12-lead ECG.

Abstract: Described herein are apparatuses (e.g., systems, devices) and methods for processing, distributing, and analyzing medical data. In particular, apparatuses and methods for processing and distributing tasks or jobs for completion by a qualified worker or specialist are described. Crowdsourcing data to specialists for interpretation can be accomplished using an auction system to match the specialists with discrete portions of the data. The data can be bundled based on one or more categories or characteristics, and then placed on an auction where the specialists can bid for each bundle by submitting a payment price. The data can be medical data, such as ECG data, imaging data and test data.

Abstract: Apparatuses and methods (including methods of using such apparatuses) for de-noising electrocardiograms (ECGs) by manually or automatically adjusting the amount of filtering of an ECG signal. For example, real-time ECG signals may be filtered by combining in a weighted fashion an unfiltered portion of an ECG (or a filtered portion of the same ECG) with the same portion of the ECG that has been filtered. The weighting may be adjusted manually and/or automatically. Also described herein are methods for real-time filtering of ECG signals using a combination of filtering techniques including filtering to correct baseline wander, Savitzky-Golay denoising, and threshold smoothing. Multiple filtering techniques may be combined in a weighed manner to provide signal de-noising.

Abstract: Described herein are systems, devices and methods for guiding placement of electrodes, and particularly ECG electrodes on a patient. A picture of the patient's body the patient can be analyzed to determine where on the patient's body to place electrodes according to a predetermined, conventional or standard placement pattern. The methods, devices and systems may then guide a user in positioning or correcting the position of electrodes on the patient. For example, an image of the patient may be provided showing the correct position of the electrodes, which may act as a patient-specific map or guide. The electrode placement positions can correspond to conventional or standard 12-lead ECG electrode positions.

Abstract: Described herein are apparatuses (e.g., devices, systems, software), and methods for monitoring the cardiac health of a patient. The apparatuses and methods may include a smartphone or hand held computing device having an accelerometer. The apparatus may also include a device with a plurality of electrodes integral with or attached to the smartphone. The devices can be placed on a patient's chest to measure electrical signals and vibrations on the chest caused by the heartbeat. The measurements can generate a seismocardiogram (SCG) and in some variations an electrocardiogram (ECG). The apparatuses and methods can analyze the data in the SCG to produce a measure of the cardiac function. Changes in such measures can provide an early warning for potential cardiac problems and signal the need for the patient to seek treatment prior to a fatal cardiac event.

Abstract: Described herein are methods, apparatuses, and systems for heart monitoring of a patient. The heart monitoring system can be used to take an electrocardiogram (ECG) using only two electrodes. A handheld device can be used to sequentially measure the electrical signal between different positions on a patient's body. The electrical signals can be processed and analyzed to prepare an ECG for the patient, including a 12-lead ECG.

Abstract: Described herein are apparatuses (e.g., devices, systems, software), and methods for monitoring the cardiac health of a patient. The apparatuses and methods may include a smartphone or hand held computing device having an accelerometer. The apparatus may also include a device with a plurality of electrodes integral with or attached to the smartphone. The devices can be placed on a patient's chest to measure electrical signals and vibrations on the chest caused by the heartbeat. The measurements can generate a seismocardiogram (SCG) and in some variations an electrocardiogram (ECG). The apparatuses and methods can analyze the data in the SCG to produce a measure of the cardiac function. Changes in such measures can provide an early warning for potential cardiac problems and signal the need for the patient to seek treatment prior to a fatal cardiac event.

Abstract: A personal monitoring device has a sensor assembly configured to sense physiological signals upon contact with a user's skin. The sensor assembly produces electrical signals representing the sensed physiological signals. A converter assembly, integrated with, and electrically connected to the sensor assembly, converts the electrical signals generated by the sensor assembly to a frequency modulated physiological audio signal having a carrier frequency in the range of from about 6 kHz to about 20 kHz.

Abstract: A personal monitoring device has a sensor assembly configured to sense physiological signals upon contact with a user's skin. The sensor assembly produces electrical signals representing the sensed physiological signals. A converter assembly, integrated with, and electrically connected to the sensor assembly, converts the electrical signals generated by the sensor assembly to a frequency modulated inaudible ultrasonic sound signal. The ultrasonic signal is demodulated from an aliased signal produced by undersampling.