H
HeartLog
heartlog.uk
Research evidence pack

BP, ABPM and lifestyle journal — in development

Funder fit
NIHR / NHS Innovation Accelerator

ABPM is gold standard but home logs are a mess. £0 PWA gives GPs structured 24h data without hardware change.

/// 01 — Problem

The gap we're addressing.

Around 14 million UK adults are estimated to have high blood pressure, and ambulatory blood-pressure monitoring (ABPM) is the gold-standard diagnostic. NHS ABPM hardware is in short supply, and home BP machines are now under £30 — but the data they produce is usually a scribbled paper log a GP cannot trust. We're wasting clinical time on bad data, not bad patients.

Source: NHS Digital, Health Survey for England — Hypertension 2023.

/// 02 — Innovation

What's actually novel.

HeartLog turns the cheap home BP monitor into a clinic-credible logging device. ABPM Mode runs a structured 24/36/48-hour window with reminders and pattern detection; lifestyle tags capture tinnitus episodes, reflux, hearing changes and sleep; the export is a clinic-ready PDF in standard ABPM format.

  • ABPM 24/36/48-hour structured windows with daytime/nighttime aggregation.
  • Medication and lifestyle log alongside readings — tinnitus, reflux, hearing, sleep, stress.
  • Clinic-ready PDF export aligned with NICE guidance on ABPM reporting.
  • £0 to the patient. GDPR-first: data stays local unless the patient opts to share.
  • PWA, works offline, no app store, no upsell.
/// 03 — Evidence so far

Honest about early-stage.

In development. Early build tested by the founder during a real GP-issued 24h ABPM in May 2026. Not yet released for general use. The product is live and self-funded; the role of grant capital is to add the rigour, cohort study and independent review that a self-funded team cannot deliver alone.

24 / 36 / 48 h
ABPM mode windows
12+
Lifestyle tags
£0
Cost to user
Clinic PDF
Export format
/// 04 — Methodology

How the system works.

HeartLog is a structured ambulatory journal with a lifestyle correlation engine. Each reading is timestamped, contextualised (sitting/standing/lying, arm, post-rest), and tagged. Aggregations follow NICE-style ABPM reporting conventions so a GP can read it like a hospital print-out.

01

Schedule

Patient selects 24, 36 or 48-hour window. App schedules reminders for active-day and overnight readings.

02

Capture

Each reading recorded with systolic/diastolic/HR, position, arm and contextual tags.

03

Correlate

Lifestyle tags (caffeine, alcohol, salt, stress, tinnitus, reflux) overlaid on the trend graph for visible cause-effect.

04

Export

Clinic PDF: 24h average, daytime average, nighttime average, dipping pattern, annotated reading log.

/// 05 — Roadmap & grant ask

Three plausible tiers of funding.

Figures illustrative and indexed to UK grant call sizes we're shortlisted against. Each tier delivers a discrete, publishable milestone.

£25k
Clinical sign-off + advisor stipend

Independent GP / cardiology review of the PDF export against NICE NG136 / BHS standards, accessibility audit, and a 50-patient self-reported feedback round.

£75k
GP-practice pre-pilot

12-week pilot at 2 primary-care sites. Time-to-diagnosis comparison vs. NHS ABPM device pathway. Published methodology and v2 of the export.

£250k
ICB-scale rollout

Integration with NHS App / GP Connect, formal evidence package to NICE ESF, multi-language reading-age variants, and a consented research cohort.

/// 06 — Team

Small team. Real product. Open to advisors.

SS
Navdeep Singh
Founder · United Kingdom

Founder of Sifotech. Operates a UK transport business and three healthtech / cyber consumer products built on the same stack. Solo technical builder; uses our own software in daily operations.

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Advisory openings
Cardiology, primary care, NICE ESF

Clinical and cyber advisors welcomed for HeartLog. We're actively looking to formalise the advisory board before the next funding round. We do not list advisors here unless they have signed on — no name-dropping.

Get in touch
/// Funding round

Book a call to discuss the HeartLog round.

15 minutes. We'll walk through this evidence pack live, answer methodology questions, and scope the consortium / advisory fit for your call.