Wearable devices and methods of using the same for inputting ambient conditions and the movement and bio-signals of a user to an external device are provided. The wearable device can include a finger sensor and a wrist sensor, wherein each includes an accelerometer, a gyroscope, and a compass. The compass can be a magnetometer. The wrist sensor can also include a power source, a computer, and a touchscreen.

A monitoring apparatus for a human body includes a node network with at least one motion sensor and at least one acoustic sensor. A processor is coupled to the node network, and receives motion information and acoustic information from the node network. The processor determines from the motion information and the acoustic information a source of acoustic emissions within the human body by analyzing the acoustic information in the time domain to identify an event envelope representing an acoustic event, determining a feature vector related to the event envelope, calculating a distance between the feature vector and each of a set of predetermined event silhouettes, and identifying one of the predetermined event silhouettes for which the distance is a minimum.

A new non-invasive tool for cartilage assessment, exercise and sports management, and prevention of osteoarthritis is provided. In various embodiments, cartilage condition is assessed using audible signals from joints. Assessment test results are used to provide feedback regarding joint stress and friction that is related to physiological or pathological loads. Data obtained from audible signals are processed to provide an index that can be interpreted by a user or third parties. The index is useful as a baseline for exercise practices, training routines, wellness programs, or rehabilitation protocols.

An apparatus for detecting the presence of pathogens in cerebrospinal fluid (CSF) within the central nervous system (CNS) includes a digital computer, a speaker unit and a microphone unit. The digital computer is programmed with generally available software which is capable of generating a spectrum of sound and receiving microphone data. The software is able to receive microphone signals and represent resulting data in graphical form showing sound intensity in dB as a function of frequency in kHz. An operator places the speaker and the microphone on the subject's body so that sound travels through at least a portion of the CNS, runs the software, and collects the resulting sound propagation data. If the propagation of sound through the CNS is indicative of altered CSF or CNS, then a disease state is suspected.

The present disclosure provides a computer implemented method for automatic detection of teeth clenching and/or teeth grinding in a dataset representing the level of biting force vs. time of a subject, the method comprising the steps of a) calculating a threshold level of biting force assigned to time t=t.sub.1 based on a background level determined from the dataset at a prior time t=t.sub.1T.sub.back, where T.sub.track is a first predefined period of time, b) checking the level of biting, and if the level of biting force at time, t, exceeds the threshold level assigned to time t for a second predefined period of time, T.sub.clench/grind, then assigning an event of teeth clenching to time t, c) if an event of teeth clenching has been assigned to time t, then either waiting a predefined period of time 10 T.sub.wait, or waiting until the level of biting is below the threshold for another predefined period of time T.sub.end, d) if no events of teeth clenching and/or teeth grinding have been assigned for a third predefined period of time T.sub.silence, then repeating steps a)-c), e) if events of teeth clenching and/or teeth grinding have been assigned for a third predefined period of time T.sub.silence, then repeating only steps b)-c).

The invention determines an efficiency value (E) denoting preferably the relative period of muscle fiber activity during a recorded period of exercise, and a strength value (S) representing the number of muscle fibers recruited during a movement as part of the exercise or of a muscle contraction, and a temporal value (T) representing the frequency with which muscle fibers are activated repeatedly during exercise, and finally combines the efficiency value (E), the strength value (S) and the temporal value (T) by a linear combination to obtain an index value (ESTi) indicative of the fitness level of the individual. The obtained ESTi Score is useful for assessing the training level of an animal or human individual and the individual's potential for different types of sports and other activity. Also the effect of past training or diet can be assessed, and the possible need for changes in training or diet can be assessed.

A new non-invasive tool for cartilage assessment, exercise and sports management, and prevention of osteoarthritis is provided. In various embodiments, cartilage condition is assessed using audible signals from joints. Assessment test results are used to provide feedback regarding joint stress and friction that is related to physiological or pathological loads. Data obtained from audible signals are processed to provide an index that can be interpreted by a user or third parties. The index is useful as a baseline for exercise practices, training routines, wellness programs, or rehabilitation protocols.

Real-time head and spine alignment, position and other physiological parameters are detected to measure human being health and wellness status. A wearer is reminded to actively correct spinal curvatures and the system may further interfere if head and spinal mal-position or other injury or disease parameters are detected by the system's sensor devices. The system includes wearable universal sensor modules that are attached and detached easily from receiver units having different formats for different body locations depending on their physiological functions. The system is designed to analyze, by artificial intelligence, data from each universal sensor module and provide accurate feedback that can be used by health professionals to monitor remote individual health status and notify a wearer to prevent and correct mal-position or injury or disease status.

An object of the present disclosure is to provide a muscle condition measurement sheet that can quantitatively detect the amplitude and latency of an evoked electromyogram EMG or an evoked mechanomyogram MMG and correctly evaluate the state of activity of a muscle. A pair of stimulating electrodes and all myoelectric detection electrodes come into intimate contact with a body surface of a muscle, appearing on a back surface of an insulating sheet spaced at predetermined intervals; accordingly, the relative position between an electrical stimulation position and the myoelectric detection electrode is fixed and the amplitude and latency of the evoked electromyogram EMG can be quantitatively detected without depending on the stimulation position of an electrical stimulation signal.

A monitoring apparatus for a human body includes a node network with at least one motion sensor and at least one acoustic sensor. A processor is coupled to the node network, and receives motion information and acoustic information from the node network. The processor determines from the motion information and the acoustic information a source of acoustic emissions within the human body by analyzing the acoustic information in the time domain to identify an event envelope representing an acoustic event, determining a feature vector related to the event envelope, calculating a distance between the feature vector and each of a set of predetermined event silhouettes, and identifying one of the predetermined event silhouettes for which the distance is a minimum.