Abstract: A method and related system to, among other things, automatically infer answers to all of the ADL questions and the first four questions of the IADL in the home. The inference methods detect the relevant activities unobtrusively, continuously, accurately, objectively, quantifiably and without relying on the patient's own memory (which may be fading due to aging or an existing health condition, such as Traumatic Brain Injury (TBI)) or on a caregiver's subjective report. The methods rely on the judicious placement of a number of sensors in the subject's place of residence, including motion detection sensors in every room, the decomposition of each relevant activity into the sub-tasks involved, identification of additional sensors required to detect the relevant sub-tasks and spatial-temporal conditions between the signals of sensors to formulate the rules that will detect the occurrence of the specific activities of interest.

Abstract: A method and related system to, among other things, automatically infer answers to all of the ADL questions and the first four questions of the IADL in the home. The inference methods detect the relevant activities unobtrusively, continuously, accurately, objectively, quantifiably and without relying on the patient's own memory (which may be fading due to aging or an existing health condition, such as Traumatic Brain Injury (TBI)) or on a caregiver's subjective report. The methods rely on the judicious placement of a number of sensors in the subject's place of residence, including motion detection sensors in every room, the decomposition of each relevant activity into the sub-tasks involved, identification of additional sensors required to detect the relevant sub-tasks and spatial-temporal conditions between the signals of sensors to formulate the rules that will detect the occurrence of the specific activities of interest.

Abstract: A method and related system to, among other things, automatically infer answers to all of the ADL questions and the first four questions of the IADL in the home. The inference methods detect the relevant activities unobtrusively, continuously, accurately, objectively, quantifiably and without relying on the patient's own memory (which may be fading due to aging or an existing health condition, such as Traumatic Brain Injury (TBI)) or on a caregiver's subjective report. The methods rely on the judicious placement of a number of sensors in the subject's place of residence, including motion detection sensors in every room, the decomposition of each relevant activity into the sub-tasks involved, identification of additional sensors required to detect the relevant sub-tasks and spatial-temporal conditions between the signals of sensors to formulate the rules that will detect the occurrence of the specific activities of interest.

Abstract: The gait monitor system and method provides various basic gait parameters including step count, cadence, and step duration, in addition to its ability to distinguish between normal, limping and shuffling gait modes, as well as determine falls. Moreover, this gait monitor may be provided with additional sensors, e.g. beam break at the beginning and end of a corridor to estimate average walking velocity (with the distance between the beams known or determined); this enables the calculation of additional gait characteristics such as average step length and average stride length. These parameters can additionally be used to detect various gait anomalies and other diagnostic information.

Abstract: The gait monitor system and method provides various basic gait parameters including step count, cadence, and step duration, in addition to its ability to distinguish between normal, limping and shuffling gait modes, as well as determine falls. Moreover, this gait monitor may be provided with additional sensors, e.g. beam break at the beginning and end of a corridor to estimate average walking velocity (with the distance between the beams known or determined); this enables the calculation of additional gait characteristics such as average step length and average stride length. These parameters can additionally be used to detect various gait anomalies and other diagnostic information.

Abstract: The gait monitor system and method provides various basic gait parameters including step count, cadence, and step duration, in addition to its ability to distinguish between normal, limping and shuffling gait modes, as well as determine falls. Moreover, this gait monitor may be provided with additional sensors, e.g. beam break at the beginning and end of a corridor to estimate average walking velocity (with the distance between the beams known or determined); this enables the calculation of additional gait characteristics such as average step length and average stride length. These parameters can additionally be used to detect various gait anomalies and other diagnostic information.

Abstract: A system and method for detecting, monitoring and analyzing physiological characteristics. Signals from a subject are acquired from a suite of sensors, such as temperature, carbon dioxide, humidity, light, movement, electromagnetic and vibration sensors, in a passive, non-invasive manner. The signals are processed and physiological characteristics are isolated for analysis. The system and method are to analyze sleep patterns, as well as to prevent bed sores or detect conditions such as illness, restless leg syndrome, periodic leg movement, sleep walking, or sleep apnea. However, numerous other applications of the invention are also disclosed.

Abstract: System and method that can monitor pulse rate and passively produce a blood pressure measurement and automatically log the data for the user. Additionally, coupling to the Internet or Information Systems expands the options for the early detection of diseases, based on sudden detected changes and trend analyses, and the successful treatment of these patients while reducing the high costs associated with invasive procedures and in-hospital care.