A computer implemented method and system for detecting arrhythmias in cardiac activity are provided. The method is under control of one or more processors configured with specific executable instructions. The method obtains far field cardiac activity (CA) signals and applies a direction related responsiveness (DRR) filter to the CA signals to produce DRR filtered signals. The method compares a current sample from the CA signals to a prior sample from the DRR filtered signals to identify a direction characteristic of the CA signals and defines the DRR filter based on a timing constant that is set based on the direction characteristic identified. The method analyzes the CA signals in connection with the DRR filtered signals to identify a peak characteristic of the CA signals and determines peak to peak intervals between successive peak characteristic. The method detects at least one of noise or an arrhythmia based on the peak to peak intervals and records results of the detecting.

An ECG signal acquisition system includes a first amplifier which has a non-inverting input adapted to be coupled to a first differential input, an inverting input adapted to be coupled to a second differential input, and an output. The system includes first and second biasing resistors coupled between the non-inverting and inverting inputs of the first amplifier. The system includes an average estimation circuit which has a first input coupled to the non-inverting input of the first amplifier and a second input coupled to the inverting input of the first amplifier. The system includes a driver amplifier which has an inverting input coupled to the output of the average estimation circuit, a non-inverting input coupled to receive a reference common-mode voltage, and an output. The system includes a low-pass filter coupled between the output of the driver amplifier and the biasing resistors.

Provided is a film-type biomedical signal measuring apparatus configured in a such a way that a plurality of metallic thin film electrodes and a circuit unit are formed on a film-type piezoelectric element so as to easily attach the apparatus to the skin and an electrical signal as well as an electrical signal of a human body is simultaneously measured using the plurality of metallic thin film electrodes and the circuit unit. Accordingly, the film-type biomedical signal measuring apparatus simultaneously measures electrocardiogram (ECG) and ballistocardiogram (BCG) from the simultaneously measured electrical signal and vibration signal of the human body and extracts biomedical information of various types of health indexes such as a heart rate, a stress index, BCG, a blood pressure, an amount of physical activity, a respiration rate, and VO.sub.2max from the two different biomedical signals.

Provided is a film-type biomedical signal measuring apparatus configured in a such a way that a plurality of metallic thin film electrodes and a circuit unit are formed on a film-type piezoelectric element so as to easily attach the apparatus to the skin and an electrical signal as well as an electrical signal of a human body is simultaneously measured using the plurality of metallic thin film electrodes and the circuit unit. Accordingly, the film-type biomedical signal measuring apparatus simultaneously measures electrocardiogram (ECG) and ballistocardiogram (BCG) from the simultaneously measured electrical signal and vibration signal of the human body and extracts biomedical information of various types of health indexes such as a heart rate, a stress index, BCG, a blood pressure, an amount of physical activity, a respiration rate, and VO.sub.2max from the two different biomedical signals.

This specification describes methods of performing ECG analyses. In one approach, the system receives an ECG recording for a first duration, automatically performs a first analysis of the ECG recording for the first duration to detect events with reference to each of a plurality of arrhythmias, generates a GUI where areas within the GUI are designated for displaying detected events for each of the arrhythmias and enables a user to select at least one ECG segment of a second duration of the ECG recording. In response to the user's selection of the at least one ECG segment, the system presents the user with at least one option, and in response to the user's selection of the option, the system performs a second analysis of the ECG segment of the second duration and displays at least one output corresponding to the second analysis.

This specification describes methods of performing ECG analyses. In one approach, the system receives an ECG recording for a first duration, automatically performs a first analysis of the ECG recording for the first duration to detect events with reference to each of a plurality of arrhythmias, generates a GUI where areas within the GUI are designated for displaying detected events for each of the arrhythmias and enables a user to select at least one ECG segment of a second duration of the ECG recording. In response to the user's selection of the at least one ECG segment, the system presents the user with at least one option, and in response to the user's selection of the option, the system performs a second analysis of the ECG segment of the second duration and displays at least one output corresponding to the second analysis.

Embodiments herein relate to ear-wearable devices and systems that can detect a risk of infection in a device wearer. In a first aspect, an ear-wearable infection sensor device is included having a control circuit, a microphone, a sensor package, and an electroacoustic transducer, wherein the electroacoustic transducer is in electrical communication with the control circuit.

The ear-wearable infection sensor device can be configured to analyze data from the sensor package to determine physiological parameters of a device wearer and evaluate the physiological parameters to detect the risk of an infection. Other embodiments are also included herein.

Provided are methods of making a long-term implantable electronic device, and related implantable devices, including by providing a substrate having a first encapsulation layer that covers at least a portion of the substrate, the first encapsulation layer having a receiving surface; providing one or more electronic devices on the first encapsulation layer receiving surface; and removing at least a portion of the substrate from the first encapsulation layer; thereby making the long-term implantable electronic device. Further desirable properties, including device lifetime increases during use in environments that are challenging for sensitive electronic device components, are achieved through the use of additional layers such as longevity-extending layers and/or ion-barrier layers in combination with an encapsulation layer.

An instantaneous heartbeat reliability evaluation apparatus includes: extraction means which extracts waveforms having a maximum value corresponding to depolarization of a heart in a biosignal of an examinee; first calculation means which calculates an interval between two waveforms neighboring in a time series; dividing means which divides a signal output from measurement means into signals of predetermined periods; second calculation means which calculates feature quantities of a potential of each divided signal; first evaluation means which evaluates whether a measurement state of each divided signal is normal or abnormal on the basis of feature quantities; and second evaluation means which evaluates measurement states of two neighboring extracted waveforms on the basis of an evaluation result obtained by the first evaluation means and evaluates reliability of a measurement state of the interval between the waveforms depending on a type of the evaluated measurement states of the waveforms.

An instantaneous heartbeat reliability evaluation apparatus includes: extraction means which extracts waveforms having a maximum value corresponding to depolarization of a heart in a biosignal of an examinee; first calculation means which calculates an interval between two waveforms neighboring in a time series; dividing means which divides a signal output from measurement means into signals of predetermined periods; second calculation means which calculates feature quantities of a potential of each divided signal; first evaluation means which evaluates whether a measurement state of each divided signal is normal or abnormal on the basis of feature quantities; and second evaluation means which evaluates measurement states of two neighboring extracted waveforms on the basis of an evaluation result obtained by the first evaluation means and evaluates reliability of a measurement state of the interval between the waveforms depending on a type of the evaluated measurement states of the waveforms.