An electrochemically active device is provided for collecting and retaining a blood sample with at least a two-electrode member connected to conductive tracks. A receptor with an integral receptor-membrane arranged on the two-electrode member, to receive non-electrochemically active heamoglobin bioanalyte and its complexes from red blood cells (RBC) of said blood sample, through a lysing agent and convert the non-electrochemically active heamoglobin bioanalyte and its complexes, into an electrochemically active bioanalyte and its electrochemically active complexes. The present invention also provides a point-of-care biosensor incorporated with the device of the present invention and method of measuring for the detection and quantitative measurement of concentrations of haemoglobin (Hb), glycated haemoglobin (GHb), methaemoglobin (MetHb) and myoglobin, in reduced volumes of blood samples, by determining redox current values in the reduced volumes of blood samples.

Various embodiments identify valid arterial pulses of a subject. The method may include accessing one or more measured pulses from one or more arterial measurement sensors. The processor may identify one or more valid pulses from the one or more measured pulses based on a comparison of one or more pulse characteristics of the one or more measured pulses to one or more reference pulses. The one or more pulse characteristics are determined based on the one or more measured pulses and a wavelet transform. The wavelet transform is determined based on the one or more reference pulses.

This disclosure provides wearable-device based user-interested information determination methods, apparatuses and wearable devices. The method includes: receiving, by an electrocardiography (ECG) sensor associated with the wearable device, an ECG signal of a user, determining a feature set for the ECG signal, in which the feature set includes time-domain feature data of the ECG signal and frequency-domain feature data of the ECG signal, and determining the user-interested information based on similarity between the feature set and reference feature sets indicative of the user-interested information, in which the user-interested information includes health information associated with a disease. The wearable device includes an ECG sensor configured to receive an ECG signal and an FPGA system. The FPGA system includes modules for determine user-interested information based on the ECG signal. The apparatus includes a processor and a memory coupled to the processor. The memory is configured to store instructions to implement the method.

A system and method for representing quasi-periodic electrocardiography waveforms, wherein system employs a hybrid-coding scheme combining linear predictive coding techniques based upon Algebraic Code Excited Linear Prediction with a discrete wavelet transforms.

A signal representing physiological information may include information related to respiration. A patient monitoring system may generate a plurality of autocorrelation sequences from the signal and combine the autocorrelation sequences to generate a combined autocorrelation sequence. The combined autocorrelation sequence may be analyzed to identify one or more peaks that may correspond to respiration information. Respiration information such as respiration rate may be determined based on the one or more peaks.

An electrochemically active device is provided for collecting and retaining a blood sample with at least a two-electrode member connected to conductive tracks. A receptor with an integral receptor-membrane arranged on the two-electrode member, to receive non-electrochemically active heamoglobin bioanalyte and its complexes from red blood cells (RBC) of said blood sample, through a lysing agent and convert the non-electrochemically active heamoglobin bioanalyte and its complexes, into an electrochemically active bioanalyte and its electrochemically active complexes. The present invention also provides a point-of-care biosensor incorporated with the device of the present invention and method of measuring for the detection and quantitative measurement of concentrations of haemoglobin (Hb), glycated haemoglobin (GHb), methaemoglobin (MetHb) and myoglobin, in reduced volumes of blood samples, by determining redox current values in the reduced volumes of blood samples.

A method of modulating a brain activity of a mammal is achieved by subjecting the mammal to repetitive transcranial magnetic stimulation (rTMS) with an rTMS apparatus at variable pulse intervals for a time sufficient to modulate said brain activity. Improvement in a physiological condition or a clinical condition is achieved. Conditions to be treated include but are not limited to PTSD, autism spectrum disorder and Alzheimer's disease. Wavelet transform analysis is used to determine the variable pulse intervals employed.

A method for analysing an image of a lesion on the skin of a subject including (a) identifying the lesion in the image by differentiating the lesion from the skin; (b) segmenting the image; and (c) selecting a feature of the image and comparing the selected feature to a library of predetermined parameters of the feature. The feature of the lesion belongs to any one selected from the group: colour, border, asymmetry and texture of the image.

A system includes a wearable head apparatus and an electronic console. The head apparatus is configured to receive resultant light from the head of a subject. The electronic console includes a fiber array, a detector, and a computing device. The fiber array includes a plurality of fibers configured to transport resultant light received by the head apparatus. The detector includes a plurality of super-pixels each defined by a plurality of pixels of an array of pixels. Each super-pixel is associated with a fiber. Each super-pixel is configured to generate a plurality of detection signals in response to detected resultant light from its associated fiber. The computing device receives the detection signals from each of the plurality of super-pixels. The computing device generates a high density-diffuse optical tomography (HD-DOT) image signal of the brain activity of the subject based on the detection signals from the super-pixels.

The present invention relates to an integrated sleep diagnosis and treatment device, and more particularly to an integrated apnea diagnosis and treatment device. The present invention additionally relates to methods of sleep diagnosis and treatment. The sleep disorder treatment system of the present invention can use a diagnosis device to perform various forms of analysis to determine or diagnose a subject's sleeping disorder or symptoms of a subject's sleep disorder, and using this analysis or diagnosis can with or in some embodiments without human intervention treat the subject either physically or chemically to improve the sleeping disorder or the symptoms of the sleeping disorder. The diagnostic part of the system can use many different types of sensors and methods for diagnosing the severity of the symptoms of or the sleep disorder itself. The treatment part of the system can use a device to physically or chemically treat the subject's symptoms or sleep disorder itself.