Systems and methods for digital signal processing using a sliding windowed infinite Fourier transform (“SWIFT”) algorithm are described. A discrete-time Fourier transform (“DTFT”) of an input signal is computed over an infinite-length temporal window that is slid from one sample in the input signal to the next. The DTFT with the temporal window at a given sample point is effectively calculated by phase shifting and decaying the DTFT calculated when the temporal window was positioned at the previous sample point and adding the current sample to the result.

In some embodiments, techniques capable of obtaining high-quality fetal ECG (fECG) information using as few as two composite (maternal and fetal) maternal abdominal ECG (aECG) signals to derive the fetal ECG information are provided. In some embodiments, maternal ECG information and fetal ECG information are both obtained from the aECG signals, and are either presented or stored. The techniques may use novel proposed diffusion-based channel selection criteria. To validate the proposed techniques, analysis results of two publicly available databases are described, and compared with other available techniques in the literature.

Apparatus and associated methods relate to a connected pill dispenser configured to treat a patient's illness with a robotic arm adapted to deliver a prescribed medication dose to a patient in their home, analyze the patient's response to the dose based on various sensor inputs, automatically determine whether the patient took the medicine and send the provider the result of providing the medication dose to the patient. In an illustrative example, the patient may be a chronic, acute, or terminal illness patient. The medication dose may be, for example, a medication prescribed by a doctor to be taken in a specific amount at specific times. In some embodiments, the connected pill dispenser may automatically notify the patient when a medication dose is due. Various embodiments may determine if the patient consumed a medication dose based on machine vision, audio, or other sensor data, permitting caregiver notification of patient medication adherence, medication compliance, or non-adherence and sensor inputs as data on potential effectiveness and/or side effects.

An aspect of the present invention provides a method for analyzing a breathing-related sound, the method comprising the steps of: receiving a sound signal obtained while a recording device is in contact with a body; filtering noises at least including a signal related to a heart sound from the sound signal; decomposing the filtered sound signal into a plurality of base signals based on empirical mode decomposition, wherein a first base signal has different frequencies from a second base signal; determining a base signal associated with a lung sound from the plurality of base signals; and obtaining lung-related information using a sound analysis model and the determined base signal.

A signal processing apparatus includes a memory configured to store instructions; and a processor configured to execute the instructions to obtain a signal; obtain a frequency band spectrum by applying a Fast Fourier Transform (FFT) to the obtained signal; and remove noise from the obtained spectrum by applying a first filter and a second filter, which are different from each other, to the obtained frequency band spectrum.

A method includes obtaining Wi-Fi channel state information (CSI) data on a transmit antenna/receive antenna pair over a time period. The method also includes removing one or more anomalies present in the CSI data. The method also includes performing at least one of phase compensation and amplitude compensation on the CSI data to generate clean CSI data. The method also includes detecting a number of distinct respiration rates based on the clean CSI data. The method also includes, for each of the distinct respiration rates, determining a number of people that have that distinct respiration rate.

A hearable comprises a wearable structure including a speaker, a sensor, and a temperature compensating circuit which measures temperature in an environment of the sensor. A portion of the wearable structure, which includes the sensor and temperature compensating circuit, is disposed within a user’s ear when in use. A sensor processing unit which is communicatively coupled with the temperature compensating circuit: acquires temperature data from the temperature compensating circuit while the portion of the wearable structure is disposed within the ear of the user; builds a baseline model of normal temperature for the user; and compares a temperature measurement acquired from the temperature compensating circuit to the baseline model. In response to the comparison showing a deviation beyond a preset threshold from the baseline model, the sensor processing unit generates a health indicator for the user which is used to monitor an aspect of health of the user.

A scattering tomography device includes: a transmitting antenna that transmits radio waves into an interior of an object; a receiving antenna that receives, outside the object, scattered waves of the radio waves; and an information processing circuit that obtains measurement results over a plurality of days and generates a reconstructed image showing a persistent element inside the object based on the measurement results. The information processing circuit calculates a scattering field function for each of the measurement results, calculates a visualization function for each of the measurement results, generates intermediate images for the measurement results, and generates a reconstructed image by calculating a minimum value of an image intensity at each position in the intermediate images using a logical conjunction.

A biological information analyzing device includes: an indicator extraction unit that extracts an indicator pertaining to a characteristic of a blood pressure waveform using data of the blood pressure waveform obtained by a sensor, which is worn on a user's body and can non-invasively measure the blood pressure waveform for each of heartbeats, continuously measuring the blood pressure waveform; and a processing unit that carries out a process based on the extracted indicator.

The embodiment of the present disclosure provides a method and a system for identifying a user action. The method and system may obtain user action data collected from a plurality of measurement positions on a user, the user action data corresponding to an unknown user action, identify that the user action includes a target action when obtaining the user action data based on at least one set of target reference action data, the at least one set of target reference action data corresponding to the target action, and send information related to the target action to the user.