Abstract: Cerebral vasospasm is detected in subarachnoid hemorrhage patients by use of highly sensitive accelerometers in contact with the head. Acceleration data can be investigated in the time domain, typically averaged over a number of heartbeats, to detect a drop in energy during diastole, and diastole/systole ratio can be compared with known data of normal and vasospastic patients. Data from one or more accelerometers can also be subjected to FFT and optionally plotted in a waterfall diagram, to observe the appearance of energy at higher frequencies as 50 Hz to 1000 Hz, also indicating vasospasm.

Abstract: Vascular conditions are detected non-invasively in the human body using a collection of information from small local regions of the vasculature, or from a specific signature or “BrainPulse” that can be derived from a patient's heartbeat-induced cranium movements. An array of accelerometers or other sensors are engaged against the head of a patient and skull movements, preferably under 100 Hz, are recorded. Vibration signatures of vessel structures such as branches, aneurysms, stenosis, etc. using random, periodic, band limited or transient analysis provides a library for further processing. The signature library is used to localize the origin of the recognized vascular feature, and the localized feature is presented to the physician in a clinically relevant manner.

Abstract: Vascular conditions are detected non-invasively in the human body using a collection of information from small local regions of the vasculature. An array of accelerometers are attached to the head and blood flow sounds are recorded. Vibration signatures of vessel structures such as branches, aneurysms, stenosis, etc. using random, periodic, band limited or transient analysis provides a signature library for further processing. The signature library is used to localize the origin of recognized vascular features and the localized feature is presented to the physician in a clinically relevant manner.

Abstract: Vascular conditions are detected non-invasively in the human body using a collection of information from small local regions of the vasculature. An array of accelerometers or other sensors are attached to the head or other points of interest of a patient and blood flow sounds are recorded. Vibration signatures of vessel structures such as branches, aneurysms, stenosis, etc. using random, periodic, band limited or transient analysis provides a library for further processing. The signature library is used to localize the origin of the recognized vascular feature, and the localized feature is presented to the physician in a clinically relevant manner.