초록 ▼

A monitoring device for monitoring the physiological condition of a patient (1) on a continuous basis, which includes a transmitter unit (2) adapted to attach to a patient so as to be in contact with the skin of a patient, a corresponding receiver unit (5). The transmitter unit includes a strap or b

A monitoring device for monitoring the physiological condition of a patient (1) on a continuous basis, which includes a transmitter unit (2) adapted to attach to a patient so as to be in contact with the skin of a patient, a corresponding receiver unit (5). The transmitter unit includes a strap or belt (3) adapted to attach to or around a body part of a patient. A plurality of sensors (E) are mounted to the belt for monitoring a plurality of patient physiological parameters, including at least the patient's skin impedance, heart rate and aspects of the heart beat. The sensors are connected to a microcontroller (8) which processes the signals and which is linked to a wireless transmitter (9). A portable receiver unit is adapted to receive and process the signal from the transmitter. The receiver unit includes a display (14) for data relating to the patient and preferably an alarm (15).

대표청구항 ▼

1. A monitoring device for monitoring the hypoglycemic condition of a patient on a continuous basis, the monitoring device comprising: a transmitter unit adapted to attach to the patient so as to be in contact with the patient's skin, the transmitter unit including:attachment means adapted to attach

1. A monitoring device for monitoring the hypoglycemic condition of a patient on a continuous basis, the monitoring device comprising: a transmitter unit adapted to attach to the patient so as to be in contact with the patient's skin, the transmitter unit including:attachment means adapted to attach to or around the chest of a patient;a plurality of sensors mounted to the attachment means to monitor a plurality of patient parameters while in contact with the skin, the monitored parameters including at least the patient's skin impedance and electrocardiogram (ECG), the sensors adapted to produce signals related to the parameters being monitored;a microcontroller to which the sensors are connected, the microcontroller multiplexing the sensors and processing the signals; anda wireless transmitter to which the microcontroller is connected to transmit a processed signal related to the patient parameters monitored by the sensors; anda portable receiver unit to receive and process the signal received from said wireless transmitter, the portable receiver unit comprising: a wireless receiver adapted to receive the signal from the wireless transmitter;a processor that processes the received signal to calculate sub-components of the patient's ECG including at least a heart rate and a QT interval, and wherein the processor determines the hypoglycemic condition of the patient based at least in part on the sub-components, wherein the processor includes a learning neural network processor programmed with a fast learning algorithm; anddisplay means for displaying data relating to the hypoglycemic condition of the patient. 2. A monitoring device according to claim 1 wherein the portable receiver unit includes communication means for communicating with a network. 3. A monitoring device according to claim 1 wherein the portable receiver unit includes an input keyboard for inputting data and communicating with the receiver unit. 4. A monitoring device according to claim 1 wherein the transmitter unit includes analogue electronics circuitry to pre-filter, process and prepare the signals related to the patient parameters being monitored by the sensors and interface to the microcontroller. 5. A monitoring device according to claim 1 wherein the microcontroller controls the transmitter unit, provides digital signal processing of the information by the pre-processed analogue circuitry and prepares these signals for wireless transmission. 6. A monitoring device according to claim 1 wherein the microcontroller is adapted to output digitally processed signals related to the patient parameters monitored by the sensors. 7. A monitoring device according to claim 1 wherein the sensors comprise skin-surface electrode sensors comprised of flexible conductive polymer. 8. A monitoring device according to claim 1 wherein the transmitter unit is adapted to detect contact and lift-off of the sensors. 9. A monitoring device according to claim 1 wherein the processed signal transmitted by the transmitter unit comprises encoded packets of data including data relating to parameter identification. 10. A monitoring device according to claim 9 wherein the processor is adapted apply a digital signal processing algorithm to the packets of data. 11. A monitoring device according to claim 1 wherein the hypoglycemic condition is monitored by estimating a blood glucose level of the patient. 12. A monitoring device according claim 11 wherein the receiver unit is adapted to display the estimated blood glucose level of the patient. 13. A monitoring device according to claim 1 wherein the transmitter unit and receiver unit communicate across a plurality of radio frequency bandwidths. 14. A monitoring device according to claim 1 wherein the patient parameters are repeatedly monitored in sequence and the processed signal which is transmitted includes different components for the different parameters being monitored. 15. A system for monitoring a hypoglycemic condition of a patient on a continuous basis, the system comprising: a plurality of sensors that in use are held in contact with the skin of the patient, the sensors monitoring a plurality of patient parameters including the patient's skin impedance and electrocardiogram (ECG), the sensors producing signals related to the monitored patient parameters;attachment means adapted to attach to or around the patient's chest and hold the sensors in contact with the skin;a controller that multiplexes the plurality of sensors and processes the signals to provide skin impedance data and ECG data; anda processor that processes the ECG data to calculate sub-components of ECG including at least a heart rate and a QT interval and determine the hypoglycemic condition of the patient dependent on the skin impedance data and the calculated sub-components of ECG, wherein the processor includes a learning neural network processor programmed with a fast learning algorithm. 16. A system according to claim 15 comprising display means for displaying data relating to the hypoglycemic condition of the patient. 17. A system according to claim 15 wherein the processor comprises: means for detecting whether a QRS complex is present in the ECG data; andmeans for calculating the QT interval by determining a duration between a start point of the QRS complex and an end of a T wave in the ECG data. 18. A system according to claim 17 wherein the means for calculating the QT interval determines the end of the T wave as an intersection between a final slope of the T wave and a specified threshold value. 19. A system according to claim 18 wherein the means for calculating the QT interval specifies the threshold value as a function of a parameter of a preceding T wave in the patient's ECG data. 20. A system according to claim 17 wherein the means for detecting a QRS complex comprises: means for filtering the ECG data to provide a band-limited signal;means for differentiating the band-limited signal;means for squaring the differentiated signal;means for providing a moving average of the squared signal;means for detecting a QRS peak in the moving average dependent on a plurality of dynamically-varied threshold values ;andmeans for updating the threshold values. 21. A system according to claim 15 wherein the processor calculates sub-components of ECG selected from the set consisting of: heart rate;rate of change of heart rate;mean peak frequency of heart rate;QT interval;ST segment;a change in QT interval; anda change in ST segment. 22. A system according to claim 15 wherein the controller provides the ECG data to at least 12-bit resolution. 23. A system according to claim 15 wherein the controller comprises means for monitoring the patient's skin impedance using a plurality of gain values and the system comprises means for calculating an averaged skin impedance value based on the skin impedance data provided using the plurality of gain values, the detection means determining the hypoglycemic condition dependent on the averaged skin impedance value and the calculated sub-components of ECG.