Abstract: Embodiments of the invention are related to a foldable stretcher that includes, a foldable fabric, one or more sensors for detecting a medical condition of a patient, attached to the foldable fabric and configured to connect to one or more external medical condition monitoring units; and one or more treatment supplying channels for supplying medical treatment to the patient and configured to connect to one or more treatment supplying units.

Abstract: A trainable object detection system and technique for detecting objects such as people in static or video images of cluttered scenes is described. The described system and technique can be used to detect highly non-rigid objects with a high degree of variability in size, shape, color, and texture. The system learns from examples and does not rely on any a priori (hand-crafted) models or on motion. The technique utilizes a wavelet template that defines the shape of an object in terms of a subset of the wavelet coefficients of the image. It is invariant to changes in color and texture and can be used to robustly define a rich and complex class of objects such as people. The invariant properties and computational efficiency of the wavelet template make it an effective tool for object detection.