Computer implemented methods and systems are provided that comprise, under control of one or more processors of a medical device, where the one or more processors are configured with specific executable instructions. The methods and systems obtain motion data indicative of at least one of a posture or a respiration cycle; obtain cardiac activity (CA) signals for a series of beats; identify whether a characteristic of interest (COI) from at least a first segment of the CA signals exceeds a COI limit; analyze the motion data to determine whether at least one of the posture or respiration cycle at least in part caused the COI to exceed the COI limit. Based on the analyzing operation, the methods and systems automatically adjust a CA sensing parameter utilized by the medical device to detect R-waves in subsequent CA signals; and detect an arrhythmia based on a presence or absence of one or more of the R-waves in at least a second segment of the CA signals.

An electrocardiography monitor is provided. A sealed housing includes one end wider than an opposite end of the sealed housing. Electronic circuitry is provided within the sealed housing. The electronic circuitry includes an electrographic front end circuit to sense electrocardiographic signals and a micro-controller interfaced to the electrocardiographic front end circuit to sample the electrocardiographic signals. A buzzer within the housing outputs feedback to a wearer of the sealed housing.

Described herein are assistant robots that anticipate needs of one or more people (or animals). The assistant robots may recognize a current activity, knowledge of the person's routines, and contextual information. As such, the assistant robots can provide or offer to provide appropriate robotic assistance. The assistant robots can learn users' habits or be provided with knowledge regarding humans in its environment. The assistant robots develop a schedule and contextual understanding of the persons' behavior and needs. The assistant robots may interact, understand, and communicate with people before, during, or after providing assistance. The robot can combine gesture, clothing, emotional aspect, time, pose recognition, action recognition, and other observational data to understand people's medical condition, current activity, and future intended activities and intents.

Provided is an electrocardiogram lead guide system. The electrocardiogram lead guide system may include: an electrocardiograph attached to a part of a body of a patient and acquiring posture information and electrocardiogram signals using a plurality of sensors; and a user terminal providing guide information for guiding the attachment direction of the electrocardiograph based on the posture information.

An opto-electronic device (100) is disclosed. The opto-electronic device (100) comprises at least one sensor (106) configured to obtain head orientation data including information on an orientation of a user's head, a processing unit (112) configured to process the head orientation data so as to obtain self motion data including information on the user's self motion and to provide at least one visual cue (114) based on the obtained self motion data, and a display device (120) configured to display the at least one visual cue (114) at a dis-play (102) at least in a periphery of a visual field of the user. Further, a method for providing visual orientation is disclosed.

A patient monitoring device configured to monitor cardiac activity and sleep stage information of a patient is provided. The device includes a plurality of electrodes to acquire electrocardiogram (ECG) signals from the patient, at least one motion sensor configured to generate a motion signal based upon movement of the patient, and at least one processor. The processor is configured derive motion parameters from the motion signal, derive ECG parameters from the ECG signals, determine whether the patient is in an immobilized sleep stage or a non-immobilized sleep stage based upon the motion parameters and the ECG parameters, adjust one or more cardiac arrhythmia detection parameters such that the device operates in a first monitoring and treatment mode when the patient is in an immobilized sleep stage, and monitor the patient for the cardiac arrhythmia using the first monitoring and treatment mode.

A system for endurance testing including: at least one sensor configured to collect data associated with an individual's movement for an endurance test; an action module configured to determine endurance movements from the collected data and determine a set of test action; and an analysis module configured to analyze the set of test actions to provide a result for the endurance test. A method for endurance testing including: collecting data associated with an individual's movement, via at least one sensor; determining endurance movements from the collected data; determining a set of test action from the endurance movements; analyzing the set of test actions; and providing results associated with the endurance test based on the analyzed set of test actions.

The present disclosure is directed to a method of collecting and using data obtained from an intelligent automated chair to optimize workflow and increase a user or group's health and productivity. Sensors in the intelligent automated chair can include motion, touch, heart rate, weight, presence, sound, keystroke, etc. In addition, posture, health, and productivity data are collected and compared over periods of time along with a learning algorithm to recommend specific operating models to increase a user or group's overall posture, health, and productivity. The methods and systems are configured to recommend action steps based on usage that can include a chair training program, nutritional training program, mental health training, bonus consideration, rewards program, advancement consideration, etc. Furthermore, the metrics and recommendations can assist with addressing issues associated with absenteeism and presenteeism. Lastly, data collected can be used to create forecasting models based on productivity and health cost.

A method for evaluating a posture of a rider riding a bicycle includes: continuously receiving a plurality of sensor datasets, each of the sensor datasets being associated with a specific time instance and includes data generated by an inertial measurement set and an electrical signal sensor set; determining a plurality of top time instances and a plurality of bottom time instances, and establishing a number of riding periods based on the plurality of top time instances and the plurality of bottom time instances; and for each of the riding periods, generating an evaluation result with respect to a number of sensor datasets received within the riding period.

An apparatus for controlling positioning of a subject's jawbone including an expandable device expandable to apply a force on the subject's jawbone in a direction of an anterior position with respect to a subject's skull; a mounting device holding the expandable device in proximity to the subject's jawbone to facilitate application of the force on the subject's jawbone and configured to position the expandable device behind the subject's jawbone such that application of the force on the subject's jawbone rotates the subject's jawbone relative to the subject's skull towards the anterior position; and a control system configured to control the force in response to the control system receiving an indication of a change in at least one of: an oxygen level of the subject; a gas flow rate of therapy gas supplied to the subject; a position and/or orientation of the subject; and/or a sleep state of the subject.