Devices, systems, and methods for monitoring musculoskeletal (MSK) health conditions of an individual, including joint flexibility, strength, and endurance as part of their overall care plan are described here. The overall system includes: a sensor that can be worn anywhere on the human body, an engaging app on a mobile-computing device, and software-based analytics and care management engine running on a cloud-computing infrastructure. The sensor is tuned to measure any human joint movement in any direction or axis as well as elevation and temperature. Methods performed by the various devices and systems and how it improves MSK health are provided.

The present disclosure discloses a device, system and method for testing cardiac exercise functions. Chronotropic Competence Indices (CCIs) are proposed to quantitatively describe the adaptation capability of cardiopulmonary system in response to exercise intensity variation in terms of heart rate changes, and thereby describes the dynamic process of the heart in the body metabolic process. The present disclosure discloses a device which measures the CCIs in real time by using the wearable technology, and referred to as Cardiac Exercise Test (CET). Compared with the Cardiopulmonary Exercise Testing (CPX) and parameters measured by the CPX such as a maximum oxygen uptake, the CCIs have clear clinical meanings and specific normal reference values; and the CET reduces the risk of the test. It is simple to use, and can be used anytime anywhere. It is of great importance in wide clinical applications, and is of great significance in prevention and rehabilitation of cardiopulmonary disease.

A system for biomechanical analysis of user posture and automatic customized manufacture of bicycle parts includes a servo-assisted simulator having a handlebar, a saddle, pedal cranks, and actuators, a device detecting input data that includes a 3D scanner for automatically detecting the position of body segments of the user and the angular ranges therebetween and generating three-dimensional physical data units, an electronic platform detecting pressure data of the user, a pair of insoles detecting plantar pressure, a computer connected to the actuators and to the detection device, a memory unit storing optimized initial data and instantaneous data, software comparing the optimized initial data and the instantaneous data and generating final data of the characteristics of the main parts, a spatial representation device spatially representing the final data, and a device for immediate manufacture of the parts using 3D printers. A method of biomechanical analysis and custom manufacture of bicycle parts.

The invention includes a system and method for predicting the performance of production animals by analysis of heart and lung sounds to determine likelihoods the animals will develop BRD or other diseases or ailments. Vital signs of animals are recorded during an adrenergic sympathetic “flight or fight” situation. A cardio-pulmonary rate ratio is determined for each animal by dividing a normalized adjusted heart rate value by a normalized adjusted respiratory value. From the ratios calculated for each animal in a group, a ratio range is established. Ratio values at a lower end of the ratio range indicate higher relative respiration rates and poor lung performance due to disease. Ratio values at an upper end of the range may indicate low cardiac output and an inability to tolerate rapid weight gain. Ratio values at either end of the range may indicate compromised cardio-pulmonary function.

A method, system and computer program for predicting a VO2max measurement for a subject, the method comprising: collecting a heart rate recovery value, measured over a first period starting at the end of a fitness test exercise completed by the subject, wherein the fitness test exercise comprises a plurality of phases, each phase having a predetermined duration and each phase being associated with a respective heart rate band, and during each phase, the subject adjusts their effort to maintain their heart rate in the respective heart rate band, and calculating a predicted VO2max measurement using the heart rate recovery value.

Systems, devices, and methods are provided to facilitate the implementation of a “proning protocol” to improve a clinical outcome for a person having SARS-CoV-2 (COVID-19) or other condition that may benefit from spending time in the prone position. For example, a system may include a mobile device (e.g., smartphone, tablet, etc.) providing a proning application configured to manage a configuration and implementation of a proning protocol for a person and configured to receive sensor data from (a) a wearable sensor device secured to the person and including sensor(s) (e.g., accelerometer(s)) that monitor the person body position, and/or (b) other sensor(s) that monitor other physiological parameters relative to the proning protocol. The proning application may determine and output feedback to manage the person's position based at least on the received sensor data and defined parameters of the proning protocol.

Methods and systems for assessing cardio-respiratory fitness (CRF) with the use of body motion data is disclosed. Specific measurements of body movement (for example, motion amplitude or velocity, or distance covered during repetitive displacement) are dependent on a user's fitness level. Embodiments prompt the user to execute a simple set of periodic movements which can be used to estimate cardiovascular function (e.g., VO.sub.2.sup.max). Body motion data, such as activity count, accelerometer signals, or cadence of motion, is captured and analyzed to estimate the user's fitness. The combination of body motion data with various physical measurements (e.g. body weight, height, BMI) permits the method to predict the user's VO.sub.2.sup.max or similar physical fitness parameters.

A method and system for measuring psychological stress disclosed. In a first aspect, the method comprises determining R-R intervals from an electrocardiogram (ECG) to calculate a standard deviation of the R-R intervals (SDNN) and determining a stress feature (SF) using the SDNN. In response to reaching a threshold, the method includes performing adaptation to update a probability mass function (PMF). The method includes determining a stress level (SL) using the SF and the updated PMF to continuously measure the psychological stress. In a second aspect, the system comprises a wireless sensor device coupled to a user via at least one electrode, wherein the wireless sensor device includes a processor and a memory device coupled to the processor, wherein the memory device stores an application which, when executed by the processor, causes the processor to carry out the steps of the method.

Systems, methods, and interfaces are described herein for noninvasively determining an optimal coronary sinus branch to cannulate for a medical electrical lead. One exemplary method involves applying an electrode apparatus having a plurality of electrodes to a torso of a patient. One of a right ventricular (RV) lead is introduced to a right ventricle or a right atrial (RA) lead is introduced to a right atrium. Noninvasively ultrasonic energy is introduced to a target tissue selected from a set of target tissues. In response to delivering ultrasonic energy to the cardiac tissue, a processing unit receives a torso-surface potential signal from each of a plurality of electrodes distributed on a torso of a patient for the target tissue. Signals are sensed from one of the RA lead and the RV lead in response to delivering ultrasonic energy. For at least a subset of the plurality of electrodes, calculating, with the processing unit, a torso-surface activation time based on the signal sensed from the electrode. Determining whether the tissue site or the another tissue site provides optimal cardiac resynchronization.

The present invention provides systems and methods for monitoring in real time the physiological status of one or more subjects, especially subject engaged in potentially hazardous or dangerous activities. Systems include wearable items with one or more physiological sensors and a local data unit (LDU) operatively coupled to the sensors. The LDUs digitize and filter sensor data, extract physiological parameters, determine abnormal or not acceptable physiological conditions, and communicate to external monitoring facilities. The external facilities display status and data concerning monitored subjects. In preferred embodiments, communication between the LDUs and the external monitoring facilities dynamically adjusts to the condition of the subjects and to system changes such as subjects and external facilities entering and leaving and/or moving from place to place. The invention also provides program products for performing this invention's methods.