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.

In one embodiment, an ambulatory encoding monitor recorder optimized for rescalable encoding and a method of use are provided. The monitor recorder includes a memory configured to store a plurality of codes and a plurality of electrocardiographic values associated with each of the codes; and a micro-processor configured to obtain electrocardiographic values during a sequence of temporal windows and to process the electrocardiographic values within each of the windows, the processing including: perform a mathematical operation on two of the electrocardiographic values; analyze a result of each of the mathematical operations; based on the analysis, adjust the plurality of the electrocardiographic values associated with each of the codes; encode each of the electrocardiography values within that window with one of the codes based on the adjusted plurality of the electrocardiographic values associated with that code; and write each of the codes into a sequence in the memory.

An adaptive bio-signal feature combining apparatus includes: a feature extractor configured to extract first feature values and second feature values from a bio-signal of an object; a stable interval determiner configured to determine at least one stable interval in the bio-signal; a statistical variable calculator configured to calculate a statistical variable value of a first feature and a statistical variable value of a second feature for each of the at least one stable interval based on the first and second feature values extracted from the at least one stable interval; and a feature combiner configured to calculate an integrated combining coefficient that is used to combine the first feature and the second feature, based on the statistical variable value of the first feature and the statistical variable value of the second feature.

Techniques are provided for generating and processing compressed sensor data. Sensor signals can be collected using one or more sensors. The sensor signals can be compressed using a compression data structure. In some instances, the compressed signal corresponds to a sampling rate at or below the Nyquist sampling rate. The compressed signal can be compared to one or more templates. Events within the compressed signal can be detected and characterized based on the comparison.

This disclosure relates generally to detection of mild cognitive impairments in subjects. The method and system proposed provides a continuous/seamless monitoring platform for MCI detection in subjects by continuously monitoring routine activities of subjects (Activities of Daily Living (ADL)) in a smart environment using plurality of passive, unobtrusive, binary, unobtrusive non-intrusive sensors embedded in living infrastructure. The proposed method and system detects symptoms of MCI at the onset of the disease, while also addressing issue of sensor failures that causes gaps in the data. The collected sensor data is pre-processed in several stages which includes which includes pre-processing of sensor data, behavior deviation detection, and abnormality detection and so on. Further, the disclosure also proposes an autoencoder based technique, to reduce the dimension of the data to find personalized deviations in behavior of a subject which is used to detect if a subject could be a potential case of MCI.

One variation of a method for hosting mobile access to dense electroencephalography data includes: receiving a set of signals, in a raw resolution, recorded by a set of channels in an electroencephalography headset during an electroencephalography test; receiving, from a client computing device, a view parameters for viewing the set of signals on a display; calculating a quantity of raw signal points per pixel column of the display based on the view parameters and a length of a segment of the electroencephalography test; for each signal in the set of signals, for each discrete contiguous sequence of the quantity of raw signal points within the segment of the signal, calculating a value set characterizing the discrete contiguous sequence of the quantity of raw signal points in the signal; and generating a static image representing value sets for each channel, in the set of channels, across the segment of the electroencephalography test.

Long-term electrocardiographic and physiological monitoring over a period lasting up to several years in duration can be provided through a continuously-recording subcutaneous insertable cardiac monitor (ICM). The sensing circuitry and the physical layout of the electrodes are specifically optimized to capture electrical signals from the propagation of low amplitude, relatively low frequency content cardiac action potentials, particularly the P-waves that are generated during atrial activation. In general, the ICM is intended to be implanted centrally and positioned axially and slightly to either the left or right of the sternal midline in the parasternal region of the chest. Additionally, the ICM includes an ECG sensing circuit that measures raw cutaneous electrical signals and performs signal processing prior to outputting the processed signals for sampling and storage.

A subcutaneous 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.

The present disclosure relates to a method for transmitting or receiving biometric information in a continuous glucose monitoring system and, more specifically, to a method for transmitting or receiving biometric information, in which: when a sensor transmitter generates a transmission packet, the transmission packet is generated to include a generation identifier for identifying the transmission packet or biometric information according to a generation order of the transmission packet or the biometric information, and therefore the biometric information may be transmitted or received without a loss thereof via the generation identifier; and a transmission packet or biometric information, which a communication terminal has failed to receive, is correctly determined on the basis of a packet generation identifier or a total number of transmission packets, so that only biometric information or a transmission packet, which has failed to be received between the sensor transmitter and the communication terminal, may be transmitted or received in a distinguished manner.

An implantable medical device includes an electronic processing device configured for processing a physiological signal, a memory, and a communication device for communicating with an external device. The processing device includes a coding module for coding the physiological signal to obtain an output signal for transmission by the communication device to the external device. The coding module is configured to encode the physiological signal using at least one fixed Huffman code table stored in the memory to obtain the output signal.