An electrocardiography monitor configured for self-optimizing ECG data compression is provided. ECG waveform characteristics are rarely identical in patients with cardiac disease making this innovation crucial for the long-term data storage and analysis of complex cardiac rhythm disorders. The monitor includes a memory and a micro-controller operable to execute under a micro-programmable control and configured to: obtain a series of electrode voltage values; select one or more of a plurality of compression algorithms for compressing the electrode voltage series; apply one or more of the selected compression algorithms to the electrode voltage series; evaluate a degree of compression of the electrode voltage series achieved using the application of the selected algorithms; apply one or more of the compression algorithms to the compressed electrode voltage series upon the degree of compression not meeting a predefined threshold; and store the compressed electrode voltage series within the memory.

A system, method, and apparatus for compressing and transmitting motion data. The method comprises receiving high fidelity motion data from a motion sensing device, the high fidelity motion data including a plurality of motion data samples; transmitting the high fidelity motion data to a server; compressing the high fidelity motion data, wherein compressing the high fidelity motion data comprises identifying a subset of the motion data samples and generating a value representing the summary of activity based on the subset of the motion data samples; and transmitting the compressed high fidelity motion data to a server.

Embodiments of the present invention include systems and methods that relate to pulse oximetry. Specifically, one embodiment includes an oximeter sensor comprising a light emitting element configured to emit light, a light detector configured to detect the light, and a memory chip having a built-in trimmed resistor, the trimmed resistor having a resistance value that is detectable by a monitor.

Systems and methods are provided for evaluating hearing health of a given user. An input audio signal is transformed into the frequency domain and a first and second hearing profile are applied to the input audio sample. The first hearing profile represents a healthy hearing standard and the second hearing profile is the given user's hearing profile. Using the hearing profiles, first and second perceptually relevant information (PRI) values are generated for the input audio sample. The first and second PRI values are analyzed against each other to generate a PRI index value for the given user, where the PRI index value is a hearing health index value for the given user. The given user's hearing profile may additionally be applied to differently processed audio samples to evaluate the amount of perceptual rescue offered by various digital signal processing algorithms.

Systems and methods for detecting atrial arrhythmias such as atrial tachyarrhythmia (AT) are described herein. An AT detection system may include a heart rate detector circuit configured to detect, from a physiological signal, representative ventricular heart rates within heart rate analysis windows. An atrial tachyarrhythmia detector circuit may perform an initial rate detection using a first ventricular heart rate statistic generated from the representative ventricular heart rates, and to perform a sustained arrhythmia detection using one or more second ventricular heart rate statistics generated within a second plurality of heart rate analysis windows during a specific duration. An AT event is detected if the second ventricular heart rate statistics satisfy a specific condition throughout the specific duration. The AT detection system may include an output unit that may output the detected AT to a user or a process.

A method of modelling and extracting information from a photoplethysmography, PPG, signal comprises decomposing and modelling (102) the PPG signal as a long-term periodic component and a short-term periodic component. The method further comprises summarizing (104) the information contained in the PPG signal, based on a distribution of fitted parameters of the modelled long-term and short-term periodic components.

An apparatus includes a network interface and a processor. The network interface is configured to communicate over a communication network. The processor is configured to receive (i) data, including a medical parameter acquired as a function of time, and (ii) a selection of one or more time intervals of interest within the time period. The processor is further configured to compress a first portion of the data, which is within the selected time intervals, at a first resolution, and compress a second portion of the data, which is outside the selected time intervals, at a second resolution, which is coarser than the first resolution. The processor is additionally configured to transmit the compressed first and second portions of the data, via the network interface, over the communication network.

Systems and methods for informing and evaluating neuromodulation therapy are disclosed herein. A system configured in accordance with embodiments of the present technology can include, for example, a guidewire having a proximal portion, a distal portion configured to be positioned at a target site in a blood vessel of a human patient, and a sensing element positioned along the distal portion. The sensing element can be a pressure sensing element, a flow sensing element, an impedance sensing element, and/or a temperature sensing element. The system can further include a controller configured to obtain one or more measurements related to a physiological parameter of the patient via the sensing element. Based on the measurements, the controller can determine the physiological parameter and compare the parameter to a predetermined threshold. Based on the comparison, the controller and/or the operator can assess the likelihood of the patient benefiting from neuromodulation therapy.

A system including a medical device is provided. The medical device includes at least one sensor configured to acquire first data descriptive of a patient, first memory storing a plurality of templates, and at least one processor coupled to the at least one sensor and the first memory. The at least one processor is configured to identify a first template of the plurality of templates that is similar to the first data, to determine first difference data based on the first template and the first data, and to store the first difference data in association with the first template. The system may further include the programmable device.

There is disclosed herein examples of systems and methods for compressing a signal. Samples of the signal can be segmented and the samples within each of the segments can be averaged to produce a value that can represent the samples within the segment. The number of samples to average in each segment may be determined based on an error threshold, such that the number of samples being averaged can be maximized to produce less data to be transmitted while maintaining the representation of the samples within the error threshold. In some embodiments, a signal can be separated into a timing reference, a representative periodic function, and a highly compressible error signal. The error signal can be utilized for reproducing a representation of the signal.