Approximately 6 lakh still births happen in India. Around 50% of them are during labor. Some still births can be prevented by monitoring fetal heart rate. Having this information can help the obstetric team take the appropriate steps during labor.
Develop a solution to accurately measure the frequency of an object of approx. size of 1 cm, placed at a distance (ranging 10 cm to 100cm), oscillating at 1 – 5 Hz.It should be affordable (<20$) and compact
Blood Pressure (BP) is a vital monitoring parameter in clinical examinations. From several years to till now, cuff based methods has been used to measure BP non-invasively.
Due to limitations such as intermittent measurement of BP (long intervals), inaccuracy due to patient stillness, discomfort due to wrapped cuff, frequent need for calibration and improper manual interventions which results unfavorable/unreliable outcome. Also, patients having stents or patients with thickened arteries have cuff based BP measurements which are inaccurate.
Develop a smart sensing device that measures BP non-invasively and continuously. It should also differentiate between skin of an neonatal, infant, healthy mature adult or a geriatric patient. Perhaps, use AI to improve measurement or compensate for offsets in measurements of patients with stents.
Patients are often administered controlled dose of medication or contrast media during procedures such as emergency care, medical imaging or anesthesia delivery. The accuracy of administered dose is extremely critical from the perspectives of patient safety and/or diagnostic quality of images produced during these procedures. Fulfilling dose accuracy needs accurate measurement or estimation of the body weight of the patient while positioned on a surgical table or on a patient positioner of an imaging equipment such as CT scanner, MRI scanner or an interventional X-ray system.
Most of the conventional surgical tables or patient positioners do not have an integrated weight sensing mechanism to aid dose computation. In situation where there may be an integrated weight sensing, the accuracy could be severely affected due to numerous variances induced by use of bed linen, sheathes or blankets, clothing & accessories, patient immobilization supports, respiratory tubes, IV lines or catheters etc.
Develop an integrated weight measurement system with an accuracy better than +/- 3% and suitable for patient types ranging from neonates to obese adults (3 – 280 kg) for patient positioner used with medical imaging systems or a surgical table to enable accurately defining the dose parameters for medication or contrast media. Other desirable characteristics of such a system are patient comfort, cleanability, lower cost and reliability and MRI system compatibility.