The invention provides a system and method for measuring vital signs (e.g. SYS, DIA, SpO2, heart rate, and respiratory rate) and motion (e.g. activity level, posture, degree of motion, and arm height) from a patient. The system features: (i) first and second sensors configured to independently generate time-dependent waveforms indicative of one or more contractile properties of the patient's heart; and (ii) at least three motion-detecting sensors positioned on the forearm, upper arm, and a body location other than the forearm or upper arm of the patient. Each motion-detecting sensor generates at least one time-dependent motion waveform indicative of motion of the location on the patient's body to which it is affixed. A processing component, typically worn on the patient's body and featuring a microprocessor, receives the time-dependent waveforms generated by the different sensors and processes them to determine: (i) a pulse transit time calculated using a time difference between features in two separate time-dependent waveforms, (ii) a blood pressure value calculated from the time difference, and (iii) a motion parameter calculated from at least one motion waveform.

Systems, methods and computer readable media comprising a virtual exercise board, which is represented by images on the screen of a pad device; wearable devices configured to attach to each shoe of a user and to collect and transmit touch data to the pad device; cameras for tracking movement and calibrating with the data collected by the wearable devices; and computer programs for collecting user data, processing user data, and generating outputs. In embodiments, features include augmented reality; ratings of performance; automated workouts/protocols; real-time progress bar; multi-location database capabilities; and reports.

A metabolic energy monitoring system having one or more physiological measurement platforms and displays enabling the calculation and display of energy balance, kilocalorie energy expenditure and kilocalorie intake is described. In preferred embodiments, the system utilizes one or more on-body monitoring platforms to enable measurement of change in body composition and kilocalorie energy expenditure over a period of time thereby enabling a comparator to calculate net energy balance over this period of time and to calculate kilocalorie intake over this same period of time. Such data may then be displayed on a display device in wireless communication with the on-body monitoring platform to provide the user of the system with useful information and guidance in weight management applications.

Apparatus and methods to monitor changes in user weight. The apparatus includes at least one sensor configured to capture superquotidien measurements of the user's weight and an accelerometer to measure movements of the user, and estimates cumulative weight of the user based on the superquotidien measurements, wherein only sudden changes in the user's weight are used in the estimation. The sensor(s) can be located, e.g., within a shoe insole, within a chair, within a floor, etc.

Various embodiments described herein relate to a method and related wearable device and non-transitory machine-readable medium including receiving sensor data from at least one sensor of the wearable device; comparing the sensor data to schedule format stored in a memory of the wearable device, wherein the schedule format specifies at least one characteristic of sensor readings previously associated with a predefined context; determining that the received sensor data matches the schedule format; determining, based on the received sensor data matching the schedule format, that the user is currently in the predefined context; identifying an action associated with the predefined context; and executing the action while the user is in the predefined con text.

An exercise and communications system includes an interactive device, a remote device, and an external device, wherein the interactive device is configured to gather data relating to a user of the system and transmit the same to the remote device, and the remote device is configured to provide analyze the data and transmit a response to the interactive device, which in turn communicates the response to the user and additionally communication with an external device for retrieval of instructions, programs, and data, inter alia. An exercise and communications system facilitates communication between a plurality of users, each having an interactive device and a remote device.

A computer implemented method for providing pain management using a wearable device determines a predictive model estimating an intensity level of pain as a function of at least one physiological parameter of a user of the wearable device and at least one activity of the user. The activity of the user includes one or combination of a type of the activity, a level of the activity, a location of the activity, and a duration of the activity. The method determines measurements of physiological and activity sensors of the wearable device to produce values of the physiological parameter and the activity of the user and predicts the intensity level of the pain based on the predictive model and the values of the physiological parameter and the activity of the user. The method executes actions based on the predicted intensity level of pain.

Systems, methods, and devices for determining a temporal duration of a rest period using motion data are described herein. In one exemplary embodiment, one or more data filters are applied to received motion data to generate one or more data sets of the motion data. The motion data represents an amount of activity experienced by an individual over the course of a period of time, such as one day. An iterative process is performed to identify a starting point and an ending point of a rest period using the generated data set(s). After the starting and ending points are identified, a temporal difference between the starting and ending points is calculated, and a total temporal duration of the rest period is determined.

Some aspects relate to systems, devices, and methods of delivering rate responsive pacing therapy. The method includes monitoring activity information related to an activity level of a patient and delivering rate responsive pacing (RRP) to the patient at a pacing rate corresponding to a RRP profile. The RRP profile may be used to generate the pacing rate based on the activity information and may be adjusted based on the monitored activity information.

Continuous microfluidic dilatometry devices and methods are provided for activity monitoring with ultra-high sensitivity. Corner flow in capillary channels is used to detect the resistance change in microfluidic circuits filled with ionic liquids. The conversion of mechanical input (e.g. strain) to an intermediary domain, namely liquid displacement, allows a large enhancement in sensor performance. Embodiments are suitable for tracking skin deformations that occur as a result of human movements.