Proposed concepts thus aim to provide schemes, solutions, concepts, designs, methods and systems pertaining to improving the allocation of COPD patients to a remote patient monitoring, RPM, program. Patients are periodically assessed so that they are dynamically placed in an optimal RPM program for their current state of health. Patients are therefore monitored and assistance can be given where necessary. By placing patients in the optimum RPM program, burdens on both patient and the service provider are reduced.

An apparatus for estimating core body temperature of an object is provided. The apparatus may include: a first temperature sensor configured to measure a surface temperature of an object; a second temperature sensor configured to measure a surface temperature of a material, which is positioned between the first temperature sensor and the second temperature sensor; and a processor configured to obtain a heat flux based on the surface temperature of the object and the surface temperature of the material, configured to estimate a wrist temperature of the object based on the obtained heat flux and the surface temperature of the object, and configured to estimate core body temperature of the object based on the estimated wrist temperature of the object and a heat loss coefficient between a core and a wrist.

Presented is a system and method for monitoring activities of daily living, ADLs, of a person within an environment. The system comprises an ADL inference unit adapted to receive a sensor output signal representative of a detected value of a property of at least one of: the person; and the environment, and to generate an inferred ADL output signal representative of the inferred ADL of the person. A monitor unit is adapted to generate a monitor signal dependent on at least one of: the received sensor output signal; and the inferred ADL output signal.

An information processing apparatus includes a processor configured to associate information indicating a recognition result of a voice of a user uttered at a time at which the user manually operates a device, biological information other than the voice of the user, and manual operation information indicating a manual operation for the device with each other, and operate the device based on the biological information in a subsequent operation.

A sleep-monitoring cap includes interconnected electrodes embedded within a body of the sleep-monitoring cap. The interconnected electrodes are located at positions across a central transverse region, below and along a side of each eye, and on a rear mid-region of a person's head when wearing the sleep-monitoring cap. The sleep-monitoring cap includes a vibratory device embedded within the sleep-monitoring cap, wherein the vibratory device is connected to the interconnected electrodes. The sleep-monitoring cap includes processing circuitry embedded within the sleep-monitoring cap. The processing circuitry is configured to monitor, convert, process, and store brain wave activity retrieved by the interconnected electrodes from the person wearing the sleep-monitoring cap; determine whether the monitored brain wave activity includes low amplitude mixed-frequency waves and if so, activate the vibratory device; determine whether the monitored brain wave activity includes theta waves followed by vertex sharp waves and if so, activate the vibratory device.

A heart-rate associated with a heartbeat signal is determined. A transform is selected based on the determined heart-rate associated with the heartbeat signal and a reference heart-rate associated with a dictionary of a sparse approximation model. The transform is selected independent of other factors associated with generation of the heartbeat signal. The selected transform is applied to the dictionary of the sparse approximation model, generating an adjusted dictionary of the sparse approximation model. Anomalous heartbeats in the heartbeat signal are detected using the adjusted dictionary of the sparse approximation model.

Methods and apparatus provide monitoring of coughing and/or a sleep disordered breathing state of a person. One or more sensors may be configured for non-contact active and/or passive sensing. The processor(s) may extract respiratory effort signal(s) from one or more motion signals generated by active non-contact sensing with the sensor(s). The processor(s) may extract one or more energy band signals from an acoustic audio signal generated by passive non-contact sensing with the sensor(s). The processor(s) may assess the energy band signal(s) and/or the respiratory efforts signal(s) to generate intensity signal(s) representing sleep disorder breathing modulation. The processor(s) may classify feature(s) derived from the one or more intensity signals to generate measure(s) of coughing and/or sleep disordered breathing. The processor may evaluate sensing signal(s) to generate indication(s) of cough event(s) and/or cough type which may include generating an indication of a coronavirus disease or a coronavirus disease cough type.

A method for operating a medical device includes activating a processor that receives electrical power from a battery in the medical device, measuring a temperature within a housing of the medical device, identifying a low battery voltage threshold based on the temperature, measuring a first voltage level of the battery, commencing an operation sequence after measuring the first voltage level of the battery, generating a plurality of voltage comparisons between a reference voltage level and a voltage level delivered from the battery during the operation sequence, and generating, an output indicating a low battery condition if at least one of the first voltage level of the battery is less than the low battery voltage threshold and above a predetermined minimum operating voltage threshold, or at least one voltage comparison indicating the voltage level of the battery is less than the reference voltage level during the operation sequence.

A system for precision psychiatry includes a wearable device including a cap and EEG electrodes attached thereto, the cap configured to be placed over a head of a user and including a plurality of first linear actuators configured to expand and contract to increase and decrease a size of the cap, respectively, the EEG electrodes connected to the cap via a plurality of second linear actuators configured to expand and contract to move the EEG electrode toward and away from, respectively, a scalp of the user, a processing device configured to be connected to the EEG electrodes of the wearable device to know the 3-D location of the EEG electrodes and to receive brain activity signals therefrom, the processing device generating a neurofeedback signal based on a detected aberrant brain activity, and a feedback device providing the neurofeedback signal to the user.

In an example, the technique also detects and measures vital signs of each human target by continuous, non-intrusive method. In an example, the vital signs of interest include a heart rate and a respiratory rate, which can provide valuable information about the human's wellness. Additionally, the heart rate and respiratory rate can also be used to identify a particular person, if more than two target humans living in a home. Of course, there can be other variations, modifications, and alternatives.