A wearable device for monitoring physical activity of a user, the wearable device being reversibly attachable to a chest strap and an arm strap. The wearable device comprises an ECG sensor arranged to collect ECG measurements of the user only when the wearable device is attached to the user's chest by the chest strap, and a PPG sensor arranged to collect PPG measurements of the user when the wearable device is attached to the user's arm or wrist by the arm strap. The wearable device also comprises control circuitry arranged to switch the wearable device between an ECG only mode and a PPG only mode. In the ECG only mode, the control circuitry is configured to control the ECG sensor to collect ECG measurements but prevent the PPG sensor from initiating PPG measurements. In the PPG only mode, the control circuitry is configured to control the PPG sensor to initiate PPG measurements but prevent the ECG sensor from collecting ECG measurements.

A measurement unit for measuring a bio-impedance of a body, the measurement unit comprising a current generator circuit, a readout circuit, and a baseline cancellation current circuit, wherein the current generator circuit is configured to amplify a reference current to form a measurement current to be driven through a body to generate a measurement voltage representing the bio-impedance; wherein the readout circuit comprises a Instrumentation amplifier (IA) which has a transconductance stage and a transimpedance stage, wherein the IA is configured to: produce a first current in the transconductance stage, the first current being proportional to the measurement voltage, receive a second current from the baseline cancellation current circuit, produce an output voltage in the transimpedance stage, the output voltage being proportional to a difference between the first current and the second current and representative of the measured bio-impedance; wherein the baseline cancellation current circuit is configured to amplify the reference current by a factor to form the second current and deliver it to the IA, wherein the factor is such that that the absolute value of the difference between the first and the second current is below a threshold such that a baseline of the first current is cancelled by the second current.

An integrated triad system to measure a patient's blood pressure at different body positions, to instruct the patient when to move from one position to the next to alleviate vascular hypertension based on an algorithm stored in the system calculating blood pressure changes and predictive risk, and to transmit the result to a remote medical location. Using the integrated triad system to perform the test over a period can increase test sensitivity by accommodating the variable onset of the disease.

A process adjusts a ventilation parameter (40) for a ventilation process (90) of a patient (110), which is carried out by a ventilator (20). Electrical impedance tomographic (EIT) data (70) of the lungs (111) of the patient (110), concerning the ventilation process (90), are collected by an EIT device (30). An adjusting device (1), adjusting a ventilation parameter (40) for the ventilation process (90), has an analysis unit (2) with a memory (3), a data input unit (5) data-communicatingly connected to the analysis unit (2) for receiving data and a data output unit (7) data-communicatingly connected to the analysis unit (2) for outputting data. A medical system (100), includes a ventilator (20), an EIT device (30) as well as the adjusting device (1) for adjusting a ventilation parameter (40) for the ventilation process (90) of a patient (100).

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.

A veterinary vital signs monitoring system, including: (A) two stretchable bands, each having an electrically conductive component; (B) a housing including two fasteners with electrically conductive contacts, each fastener adapted to receive, and lock therein a portion of one of the bands, the conductive contacts adapted to make an electrical connection with electrically conductive components of the bands; and (C) a module housed in the housing and in electrical communication with the conductive contacts, the monitoring module adapted to receive signals relating to vital signs of the animal on which the bands are mounted, via the conductive components thereof.

A modular, wearable sensor and drug administration device is disclosed. The device includes removable modules such as sensors and drug administration apparatuses within a single wearable device. The device may be comfortable and modules may be easily removed and replaced. The sensors and drug administration devices may be used in concert to monitor and administer drug to a patient. Such a device may improve a patient's quality of life.

An electrocardiography monitor is provided. A sealed housing includes one end wider than an opposite end of the sealed housing. Electronic circuitry is provided within the sealed housing. The electronic circuitry includes an electrographic front end circuit to sense electrocardiographic signals and a micro-controller interfaced to the electrocardiographic front end circuit to sample the electrocardiographic signals. A buzzer within the housing outputs feedback to a wearer of the sealed housing.

Medical device systems include processing circuitry configured to acquire sensed cardiac signals associated with cardiac activity of a heart of a patient, and to analyze the sensed cardiac signals to determine if a noise signal is present within the cardiac signals.

A process for measuring heart beats fiducial points and classifying heart beats includes sampling a raw ECG signal,—providing a first filtered signal,—providing a second filtered signal, detecting left and right limits data for the beats in said second filtered signal, and receiving the first filtered signal and receiving said left and right limits data, sampling and storing ECG curve data of beats from said first filtered signal synchronized by said left and right limits data and extracting fiducial points of said beats from said ECG curve data, said fiducial points including at least the QRS points values of the beats, and classifying each of said beats in classes based on a correlation of its ECG curve data with respect to average ECG curves data of classes of previously averaged classified beats.