This disclosure is directed to systems and techniques for determining an evidence level of an atrial tachycardia (AT) episode based on heart beat intervals in the cardiac activity data over a pre-determined time period. Based on a determination that the evidence level indicates relatively regular heart beat intervals, the example techniques apply a first set of AT detection criteria and indicate a detection of an AT episode based on satisfaction of at least one of the first set of AT detection criteria. Based on a determination that the evidence level indicates relatively irregular heart beat intervals, the example techniques apply a second set of AT detection criteria and indicate a detection of an AT episode based on based on satisfaction of at least one of the second set of AT detection criteria.

An improved wearable device for detecting progression of Cardiac Amyloidosis based on changes in relative values of characteristics of P-wave and R-wave is disclosed. In an embodiment of the invention, two electrodes the device are connected to user's skin surface to obtain traces of ECG signals. Thereafter, correction factors are determined for the obtained traces of ECG signals. A microprocessor included in the device applies correction factors on the traces of ECG signals to obtain characteristics of P-wave and R-wave. Finally, the microprocessor determines the ratio of the characteristics (such as amplitude) of the P-wave to the characteristics (such as amplitude) of the R-wave and records said ratio. Still further, the microprocessor compares all such recorded ratios or features, to determine and display if there is disease progression.

An apparatus with a first photodetector and a second photodetector is provided. The apparatus is configured to receive light, and the first photodetector is configured to detect a first portion of the light. The first photodetector and the second photodetector are in a stacked arrangement and the apparatus is configured to pass a second portion of the light through the first photodetector to the second photodetector. The apparatus further includes an optical blocking filter configured to filter the second portion of the light prior to the second portion of the light arriving at the second photodetector.

A system for capturing behavioural data in order to influence an interpersonal interaction. In one aspect, the system assists n the training of an entity whose role is to engage in such interpersonal interactions. In this aspect, the collected information may be used to judge performance, and/or adapt or improve approach to future interactions, In another aspect, the system may assist with a live interaction, i.e. to provide feedback in an ongoing conversation. The system comprises a wearable device having (i) a data collection device configured to capture behavioural data during the interpersonal interaction, (ii) a microphone configured to capture audio data during the interpersonal interaction, and (ill) an analysis module arranged to extract emotional state information and content data, and use that extracted data to evaluate an interaction quality metric to obtain an interaction score for the interpersonal interaction.

A detection device, a detection system and a detection method capable of detecting accurate position and orientation of a wearable device on a body are provided. A detection device includes a wireless communicator that receives orientation information indicating an orientation of a wearable device disposed on a body from the wearable device by wireless communication, measures an intensity of a radio wave radiated from the wearable device, and outputs intensity information indicating measured intensity of the radio wave; and a calculator that calculates a position and an orientation of the wearable device on the body based on the orientation information and the intensity information.

The method of the present invention quantifies the severity of a subject's neurodegenerative disorder. The subject answers a questionnaire which results in a patient-reported outcome dataset. Benchmark tests are carried out by the subject performing one or more tasks resulting in a task result dataset. Continuous sensors collect data resulting in a sensor dataset. Short assessment tests of the subject are conducted resulting in a short assessment dataset. The patient-reported outcome dataset, task result dataset, sensor dataset, and short assessment dataset are aggregated into an output dataset that includes non-motor outcome measures and motor outcome measures. A single score is generated that quantifies the severity of a neurodegenerative disorder of the subject based on the output dataset.

A method, performed by a wearable device, of providing haptic feedback to a user is provided. The method includes obtaining profile data of the user, obtaining biometric data of the user by using one or more biosensors, calculating, based on the profile data and the biometric data of the user, a target contact pressure to be applied to a body of the user by one or more haptic actuators, measuring a current contact pressure applied to the body of the user by the one or more haptic actuators by using one or more pressure sensors, and adjusting the current contact pressure of the one or more haptic actuators based on the current contact pressure and the target contact pressure.

A wearable cardiac monitoring device comprises a processor; a electrocardiogram (ECG) signal collecting unit; a photoelectric signal collecting unit; and a power source configured to provide power to the processor, the ECG signal collecting unit and the photoelectric signal collecting unit simultaneously; wherein the processor determines whether the current mode is at a ECG collecting mode or a photoelectric collecting mode; wherein the ECG signal collecting unit collects user's ECG signals in the ECG collecting mode, and the photoelectric signal collecting unit collects photoelectric signals of the user's measured part under the illumination of light.

A method implemented on a computing device having at least one processor, storage, and a communication platform connected to a network for determining blood pressure may include: receiving a request to determine blood pressure of a first subject from a terminal, obtaining data related to heart activity of the first subject, determining a personalized model for predicting blood pressure with respect to the first subject, determining the blood pressure of the first subject using the personalized model based on the data related to heart activity of the first subject, and sending the blood pressure of the first subject to the terminal in response to the request.

Methods for controlling an aspect of an application in a mobile or wearable device and a mobile or wearable device user's representation in real time are described, where the user is performing a gait activity with a gait cadence, and the gait cadence is used for control. Additional user's mobility characteristics leveraged for control may include velocity and stride length, and the sensors utilized to obtain any contextual information may be accelerometers.