The present disclosure relates to a coil assembly of an MRI device. The MRI device may be configured to perform an MR scan on a subject. The coil assembly may include one or more coil units, a substrate, and a sensor mounted within or on the substrate. The one or more coil units may be configured to receive an MR signal from the subject during the MR scan. The substrate may be configured to position the one or more coil units during the MR scan. The one or more coil units may be mounted within or on the substrate. The sensor may be configured to detect a motion signal relating to a physiological motion of the subject before or during the MR scan.

Apparatus and method are provided to collect and analyze heartbeat waveforms. In one novel aspect, the heartbeat waveforms are collected from wearable devices. In one embodiment, the wearable device collects heartbeat waveforms by attaching the device to the patient for a long period and sends the collected waveforms to a receiver through a wireless network. In another novel aspect, an application program is installed in a smart device to receive heartbeat waveforms from one or more wearable devices. The application program either relays the received waveform to a remote processing center or processes the data before sending. In another novel aspect, an analysis method compares received patient's current heartbeat waveform with historic data. In one embodiment, the historic data are stored in a cloud-based database. In another novel aspect, the remote processing center is an open platform data center, which takes in certified third party inputs.

An apparatus for monitoring a sleep parameter of a user includes an adhesive pad configured to conform to a surface of the user and a flexible element coupled to the adhesive pad. The flexible element includes a conductive fabric, and exhibits a modified electrical property in response to an applied force. The apparatus also includes a power source electrically coupled to the flexible element, and an electrical circuit electrically coupled to the power source and the flexible conductive element. The electrical circuit is configured to detect, during use, a change in an electrical property of the flexible element.

An apparatus for monitoring a sleep parameter of a user includes an adhesive pad configured to conform to a surface of the user and a flexible element coupled to the adhesive pad. The flexible element includes a conductive fabric, and exhibits a modified electrical property in response to an applied force. The apparatus also includes a power source electrically coupled to the flexible element, and an electrical circuit electrically coupled to the power source and the flexible conductive element. The electrical circuit is configured to detect, during use, a change in an electrical property of the flexible element.

An apparatus for monitoring a sleep parameter of a user includes an adhesive pad configured to conform to a surface of the user and a flexible element coupled to the adhesive pad. The flexible element includes a conductive fabric, and exhibits a modified electrical property in response to an applied force. The apparatus also includes a power source electrically coupled to the flexible element, and an electrical circuit electrically coupled to the power source and the flexible conductive element. The electrical circuit is configured to detect, during use, a change in an electrical property of the flexible element.

In a method for monitoring a patient during a medical imaging examination, at least one state signal of the patient is detected using at least one state detector, and the at least one detected state signal of the patient is evaluated using an evaluation algorithm. An emotional state of the patient can be established based on the detected state signal. The method can further include generating output information based on the established emotional state of the patient and outputting the output information via an output interface.

In a method for monitoring a patient during a medical imaging examination, at least one state signal of the patient is detected using at least one state detector, and the at least one detected state signal of the patient is evaluated using an evaluation algorithm. An emotional state of the patient can be established based on the detected state signal. The method can further include generating output information based on the established emotional state of the patient and outputting the output information via an output interface.

A blood pressure data processing apparatus including a peak selection unit, a frequency component suppression unit, a respiratory fluctuation calculation unit, an attenuation amount calculation unit, and a respiratory cycle determination unit. The frequency component suppression unit suppresses components of the selected peak frequency within the first spectrum, and generates a second spectrum. The respiratory fluctuation calculation unit calculates a first respiratory fluctuation in second blood pressure data, and calculates a second respiratory fluctuation in third blood pressure data, which is a time domain representation of the second spectrum. The attenuation amount calculation unit calculates an attenuation amount of the second respiratory fluctuation relative to the first respiratory fluctuation. The respiratory cycle determination unit determines a cycle corresponding to the selected peak frequency as a respiratory cycle of a user if the attenuation amount is greater than a threshold.

A blood pressure data processing apparatus including a peak selection unit, a frequency component suppression unit, a respiratory fluctuation calculation unit, an attenuation amount calculation unit, and a respiratory cycle determination unit. The frequency component suppression unit suppresses components of the selected peak frequency within the first spectrum, and generates a second spectrum. The respiratory fluctuation calculation unit calculates a first respiratory fluctuation in second blood pressure data, and calculates a second respiratory fluctuation in third blood pressure data, which is a time domain representation of the second spectrum. The attenuation amount calculation unit calculates an attenuation amount of the second respiratory fluctuation relative to the first respiratory fluctuation. The respiratory cycle determination unit determines a cycle corresponding to the selected peak frequency as a respiratory cycle of a user if the attenuation amount is greater than a threshold.

A method for guiding deep breathing may include receiving a request from a user to initiate a deep breathing exercise on a user-controlled device. The method may include monitoring deep breathing using one or more sensors on an ear-worn device in response to initiating the deep breathing exercise. Examples of sensors include at least one of a motion detector, a microphone, a heart rate sensor, and an electrophysiological sensor. The method may further include initiating an end to the deep breathing exercise. The method may be used with various hearing systems including an ear-worn device and optionally a user-controllable device, such as a smartphone.