Abstract: Embodiments of the present disclosure provide an ECG monitoring device that comprises a housing cable comprising a plurality of signal cables positioned therein and a set of electrodes positioned along the housing cable. Each of the set of electrodes may contact a particular location of a user without requiring any muscular activity of the user when the ECG monitoring device is connected to the user. The ECG monitoring device may further comprise a computing device positioned along the housing cable and operatively coupled to each of the four or more electrodes via a respective signal cable of the plurality of signal cables. The computing device may comprise a memory and a processing device operatively coupled to the memory, the processing device to perform, using the four or more electrodes, an electrocardiogram (ECG) of the user.

Abstract: Embodiments of the present disclosure provide a small form factor ECG monitoring device that can acquire 3 standard ECG leads including a V-lead, does not require the use of adhesives for electrodes, and provides ECG data for a user on a near instantaneous basis. The ECG monitoring device can acquire leads I, II, and V2 (or any other V lead). The addition of a V-lead not only provides an additional channel of ECG data, but also adds another orthogonal cardiac field plane (the horizontal plane) thanks to the reference point formed by leads I and II. The ECG monitoring device may derive the augmented limb leads and subsequently generate a full 12-lead ECG. The ECG monitoring device may generate one or more diagnoses based on the full 12-lead set. The ECG monitoring device may provide an easy and non-invasive way for a person to take an ECG on the fly.

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: An apparatus includes an electrocardiograph device having first, second, and third, electrode assemblies with first, second, and third electrodes adapted to measure first, second, and third electrical signals of an individual, respectively. The apparatus further includes a processing device to: determine a Lead I from the first electrical signal and the second electrical signal; determine a Lead II from the second electrical signal and the third electrical signal; generate a Lead III using (Lead III=Lead II?Lead I); determine, using a machine learning model trained using measured twelve-lead ECG data, Leads aVR, aVL, aVF, V1, V2, V3, V4, V5, and V6 based on Lead I, Lead II, and Lead III; and provide Leads Lead I, Lead II, Lead III, aVR, aVL, aVF, V1, V2, V3, V4, V5, and V6 for display on a client device.

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 physiological audio signal having a carrier frequency in the range of from about 6 kHz to about 20 kHz.

Abstract: Described herein are devices and systems that transmit data from a first device using an ultrasonic digital modem to a second device that receives the ultrasonic signal and can interpret the ultrasonic signal. The second device may be a telecommunications device such as a smartphone running an ultrasonic digital modem receiver application. In particular, devices, systems and methods for encoding and transmitting an ultrasonic signal that includes both digital (e.g., FSK) and analog signal components. Such hybrid ultrasonic signals may efficiently and reliably transmit information, and particularly biological information. Also described herein are devices, systems and methods for securely transmitting ultrasonic signals using encryption keys that may be read by the receiving device using a separate (e.g., non-ultrasound modality) from the transmitting device.

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 physiological audio signal having a carrier frequency in the range of from about 6 kHz to about 20 kHz.

Abstract: Medical sensing devices and systems that transmit digital data from a first device via an ultrasonic digital modem to a receiver such as a smartphone. Methods of transmitting digital biological data by ultrasound are also described.

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.

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.

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.

Abstract: A method and system for communication of patient data acquired from a patient (13) involving the use of a predetermined communications protocol (48, 49, 50) whereby patient data is communicable from a patient location to an analysis location. In a preferred form, the patient data has appended to its supplementary data which can include address information and identity information.

Abstract: A method and system for communication of patient data acquired from a patient (13) involving the use of a predetermined communications protocol (48, 49, 50) whereby patient data is communicable from a patient location to an analysis location. In a preferred form, the patient data has appended to its supplementary data which can include address information and identity information.