The conversion adapter is provided that includes a radio communication unit that receives biological information based on the digital data transmitted from an external biological sensor by using radio communication; an information processing unit that performs data processing of the biological information based on the digital data; a converter that converts the biological information based on the digital data processed by the information processing unit to biological information based on analog data; and a connection unit that is connectable through wire to an external biological information monitor and that outputs the biological information based on the analog data converted by the converter.

The present invention provides for a data acquisition system for EEG and other physiological conditions, preferably wireless, and method of using such system. The wireless EEG system can be used in a number of applications including both studies and clinical work. These include both clinical and research sleep studies, alertness studies, emergency brain monitoring, and any other tests or studies where a subject's or patient's EEG reading is required or helpful. This system includes a number of features, which enhance this system over other systems presently in the marketplace. These features include but are not limited to the having multiple channels for looking at a number of physiological features of the subject or patient, a built in accelerometer for looking at a subject's or patient's body motion, a removable memory for data buffering and storage, capability of operating below 2.0 GHz, which among other things allows for more channels, movement artifact correction including video, pressure sensors capable of measuring or determining airflow, tidal volume and ventilation rate, and capability of manual and automatic RF sweep.

An apparatus for real time monitoring of a patient is provided and includes a memory element for storing data, a processor that executes instructions associated with the data, an interface that receives sensor data from a sensor that takes measurements from the patient and sends the sensor data according to the sensor's measurement latency, a latency calculator that frequently calculates a latency threshold that varies according to at least a health status of the patient, a timer that continuously monitors the sensor's measurement latency, a comparator that frequently compares the sensor's measurement latency with the calculated latency threshold, and a feedback module that automatically changes the sensor's measurement latency to match with the calculated latency threshold.

A method for allowing or disallowing control of a motion tracking system by means of voice, comprising: digitally processing sound detected by each microphone of the at least one microphone; digitally computing SNR by computing both first energy of a voice signal in the detected sound and second energy of noise in the detected sound; digitally processing electromagnetic waves captured by each antenna of the at least one antenna so as to detect data packets transmitted to the computing apparatus by each sensor of the plurality of sensors, each data packet including RSSI of a respective sensor; digitally computing distance between each sensor and the computing apparatus based on the RSSI of the data packets received from the respective sensor; digitally computing a percentage of sensors of the plurality of sensors having at least one of: a distance exceeding a predetermined maximum distance threshold, and a change in distance exceeding a predetermined maximum changing distance threshold; and digitally setting allowance or disallowance of voice control based on both the SNR computed and the percentage of sensors computed.

Systems and methods for electronically creating and modifying a fitness plan are disclosed. The method may include receiving electronic user data, collecting electronic fitness data, and displaying a suggestion for a fitness activity based on the electronic user data and the electronic fitness data.

A method, a structure, and a computer system for assessing user mobility. The exemplary embodiments may include collecting mobility data corresponding to a user and extracting one or more low level features from the mobility data. The exemplary embodiments may further include extracting one or more clinical level features from the low level features and assessing one or more health conditions of the user based on applying one or more models to the one or more clinical level features.

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.

Disclosed is a microneedling device and a method for the microneedling of human or animal tissue. The method comprises the following steps; (a) providing a microneedling device having an electrically conductive microneedle and an electrically conducting nosepiece assembly spaced apart from the electrically conductive microneedle and acting as a counter electrode; (b) placing the electrically conductive microneedle and nosepiece assembly into contact with the tissue to be microneedled; (c) measuring the electrical impedance between the microneedle tip and the nosepiece or the current through the microneedle motor; (d) commencing insertion of the microneedle and moving the microneedle toward the tissue surface; (e) starting a step counter when the impedance reduces or the microneedle motor current increases; (f) incrementing the step counter with every step of the vertical drive motor until the step count reaches the prespecified value thereby controlling the depth of the hole microneedled.

A glucose measuring system includes a glucose meter that incorporates wireless communication capabilities. The meter can advantageously be a low cost meter by eliminating expensive components, such as the display. The user nevertheless is able to retrieve and view his or her glucose values by referring to displays within the glucose measuring local area network. Feedback via these displays can advantageously be used by the diabetic to create a higher level of confidence and safety.

Techniques for wireless component monitoring are described herein. The techniques may include entering a low power mode to associate a radio frequency identification (RFID) component with a patient monitoring device within a first range. The techniques also include entering a high power mode wherein the patient monitoring device is to detect the RFID component within a second range of the patient monitoring device, wherein the second range is larger than the first range.