Systems and methods to detect seizures using analog circuitry. One example method generally includes obtaining, at a seizure detection system, one or more electroencephalogram (EEG) signals, detecting a plurality of features associated with each of the one or more EEG signals, generating a bitstream indicating a seizure probability associated with each feature of the plurality of features to yield a plurality of bitstreams indicating a plurality of seizure probabilities, and generating a seizure detection output based on the plurality of bitstreams indicating the plurality of seizure probabilities of the plurality of features.

Systems and methods are provided for detecting and analyzing changes in a body. For example, a system includes an electric field generator configured to produce an electric field. The system includes an external sensor device configured to detect physical changes in the electric field, where the physical changes affect amplitude and frequency of the electric field. The system includes a quadrature demodulator configured to detect changes of the frequency of the output of the electric field generator. The system includes an amplitude reference source and an amplitude comparison switch configured to detect changes of the amplitude of the output of the electric field generator. The system includes a signal processor configured to analyze the changes of the amplitude and frequency of the output of the electric field generator.

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.

A tissue disorder monitoring system includes at least two electrodes constructed and arranged to obtain analog electrical signals from a patient. An amplifier amplifies the analog electrical signals. Filter structure filters the amplified analog electrical signal. An A/D converter converts the amplified and filtered analog electrical signals to digitized electrical signals. A microprocessor circuit is constructed and arranged to execute an application that analyzes the digitized electrical signals to identify and to determine treatment data including a specific location and/or propagation of disordered tissue within the patient. A transmitter transmits data in a wireless manner. A power supply powers the device. A method locating disordered tissue in a patient is also disclosed.

A low power force detection system includes variable capacitors, a drive sense module, and a processing module. A drive sense circuit of the drive sense module is operable to provide an analog and frequency domain signal to a variable capacitor. The drive sense circuit is further operable to detect a characteristic of the variable capacitor based on the analog and frequency domain signal and to generate a representative signal of the characteristic. The processing module is operable to generate a digital value based on the representative and to write the digital value to memory.

An apparatus and a method of measuring bioinformation are provided. The apparatus for measuring bioinformation includes a first sensor configured to measure a first biosignal including arterial pulse wave information, a second sensor configured to measure a second biosignal including venous or capillary pulse wave information, and a bioinformation estimator configured to estimate bioinformation of a user based on a time delay between the first biosignal and the second biosignal.

The invention provides a magnetic inductive sensing device (30) comprising a loop antenna (10) for inductively coupling with electromagnetic (EM) signals emitted from a medium in response to stimulation of the medium with electromagnetic excitation signals. The device includes an electromagnetic shield (36) element which is arranged such as to intercept electromagnetic signals travelling to or from the antenna. The shield element is formed of conductive material such as to block electrical field components of incident signals but further incorporates a non-conductive gap in the material so as to prevent the formation of eddy currents. A loop of the antenna is broken by an opening, the opening being bridged by a capacitor, and the device comprises a signal processing means which is electrically coupled to the antenna via only a single point of the antenna, located to one side of the opening.

A system for monitoring fetal health data and mother health data comprises a belly-covering garment that is configured to at least partially cover a belly and to hold one or more sensor modules directly adjacent to the belly. One or more sensor modules disposed within the belly-covering garment. The one or more sensor modules comprise a pulse-oximeter sensor that gathers pulse oximetry data from the mother through contact with the belly. The one or more sensor modules also comprise an accelerometer sensor that gathers movement data from the mother. Additionally, the one or more sensor modules comprise a fetal sensor that gathers health data from a fetus within the belly.

The inventive concept relates to a body composition analysis system. A body composition analysis system according to an embodiment of the inventive concept includes a sinusoidal signal generator, a synchronous detector, and a bioimpedance analyzer. The sinusoidal signal generator converts a digital sinusoidal signal having a target frequency into an analog sinusoidal signal. The synchronous detector extracts a target frequency component of a bioelectrical signal generated in response to an analog sinusoidal signal based on the digital sinusoidal signal. The bioimpedance analyzer calculates the bioimpedance based on the target frequency component of the bioelectrical signal. According to the inventive concept, it is possible to improve the selectivity for extracting the target frequency component of the bioelectrical signal and to reduce the area and variations of characteristics for the implementation of the integrated circuit.

Systems, devices, and methods are disclosed for the purpose of quantitatively determining the susceptibility of a human subject to injure their Anterior Cruciate Ligament (ACL). A method for determining injury susceptibility scores or risk categories includes determining hip extension angles and knee varus angles during the performance of a stork test and determining hip abduction angles during a squat test. Determination of angles during certain movements may be achieved using various systems and devices, including wearable devices.